The natural forest and artificial shed are the main cropping modes of Coptis chinensis. This study is aimed to reveal the rhizosphere soil bacterial community structure difference between under tow C. chinensis cropping modes-natural forest and artificial shed, and to assist us to completely understand soil quality condition,and provide theoretical guidance for soil improvement and C. chinensis planting. The rhizosphere soil samples of 1-5-year-old C. chinensis under tow cropping modes-natural forest and artificial shed were collected. Illumina high-throughput sequencing technology was used to analyze the alpha diversity, community composition, community structure of soil bacteria under the tow cropping modes,and the effects of soil nutriment indices on soil bacterial community structure. Through the analysis of species number, Shannon, Chao1 index and ACE index of bacterial community, it was found that the bacterial diversity of 1-year-old C. chinensis soil under natural forest cropping mode was significantly lower than that under artificial shed cropping mode, and the diversity of bacterial communities in soil of 2-5-years old C. chinensis were not significant different between two cropping modes. A total of 53 phyla,60 classes,140 orders and 266 families were detected in the rhizosphere soil of C. chinensis under the cropping modes of natural forest, respectively. The rhizosphere soil of C. chinensis under the cropping modes of artificial shed included 54 phyla,65 classes,140 orders and 264 families, respectively. Under the two cropping modes, the top 10 dominant species of bacterial community abundance are the same, they are Proteobacteria, Acidobacteria, Actinobacteria,Bacteroidetes, Planctomycetes, Chloroflexi, Verrucomicrobia, Gemmatimonadetes, Firmicutes and Cyanobacteria, but there are differences in the abundance sequence. The top 10 dominant species of bacterial community abundance accounted for 74.36% to 74.30% of the total bacteria, and 3.15% to 3.92% of the bacteria are unclassified. The results of Metastat analysis showed that the abundance of Gemmatimonadetes in the rhizosphere soil of C. chinensis under the cropping modes the artificial shed was significantly higher than that under the natural forest cropping mode(P<0.05). MRPP analysis of community structure differences showed that under tow cropping modes, there were significant differences in the bacterial community structure of 1-4-year-old soil bacteria, among which the difference between 1-year-old soil samples was the largest. With the increase of cropping years, the difference gradually decreases, and there is no significant difference in the bacterial community structure between 5-year-old soil samples. RDA analysis and correlation analysis of bacterial community structure and soil physical and chemical properties showed that the order of environmental factors on the rhizosphere soil bacteria of Coptis chinensis was: pH>available P> total P> total K>bulk density>total N>available N>organic matter. The results are helpful to understand the soil health of C. chinensis and provide scientific basis and theoretical guidance for soil improvement and C. chinensis planting.
Child, Preschool ; Coptis ; Forests ; Humans ; Infant ; Rhizosphere ; Soil ; Soil Microbiology

Dendrobium huoshanense is a precious medicinal plant belonging to Dendrobium of Orchidaceae. It is a special medicinal material and extremely scarce in Huoshan county, Anhui province. At present, D. huoshanense has been greatly protected, which also makes it possible to industrialize relying on tissue culture and artificial cultivation technology. Three main planting methods were utilized for cultivating D. huoshanense including facility cultivation, under forest cultivation and simulative habitat cultivation. Firstly, the three cultivation modes and technical characteristics of D. huoshanense were compared and analyzed, and it was found that the ecological environment of D. huoshanense cultivated in the simulated environment was closer to that of wild D. huoshanense. Secondly, based on comparing the characters and quality of three cultivation modes, the results showed that the shape of D. huoshanense cultivated in simulated environment was more similar to that of "grasshopper thigh" recorded in Bencao Jing Jizhu, and its quality was better than that of facilities and under forest cultivation. The comprehensive benefit comparison of three modes showed that the simulated cultivation had high income, the lowest input-output ratio and significant economic benefit. The quality of cultivated D. huoshanense was further evaluated from four aspects of "excellent environment" "excellent shape" "high quality" "excellent effect", which summarized the comprehensive advantages of simulative habitat cultivation of D. huoshanense as follows: the original habitat and site environment of simulated wild D. huoshanense, the closer shape to the wild, the more content of main medicinal components, and higher economic benefit and better efficacy. The quality of D. huoshanense was improved by the use of simulative habitat cultivation, which has practical significance to guide its large-scale cultivation.
Dendrobium ; Ecosystem ; Forests ; Plants, Medicinal

The ecological environment is closely related to the growth and quality of authentic medicinal materials. Ginseng is very strict with its natural environment and grows mostly in the damp valleys of forests, and the appearance and chemical composition of ginseng under different growth environments are very different. This article reviews the effects of different ecological factors(including light, temperature, altitude, moisture, soil factors, etc.)on the appearance and chemical composition(mainly ginsenosides) of ginseng. Through systematic review, it is found that soil physical factors are the most important ecological factors that affect the appea-rance of ginseng, and soil bulk density plays a key role; temperature affects ginsenosides in ginseng medicinal materials The dominant ecological factors for the accumulation of chemical ingredents; strong light, high altitude, high soil moisture, low soil nutrient and strong acid soil can influence the accumulation of secondary metabolites in ginseng. Environmental stress can also stimulate the formation and accumulation of secondary metabolites in medicinal plants. Appropriate low temperature stress, high or low water stress, acid or alkali stress can also promote the accumulation of ginsenosides. This article systematically reviews the ecological factors that affect the appearance and chemical composition of ginseng, and clarifies the dominant ecological factors and limiting factors for the formation of ginseng's appearance and quality, as well as beneficial environmental stress factors, in order to provide a theoretical basis for ginseng ecological planting and ginseng quality improvement.
Forests ; Ginsenosides ; Panax ; Plants, Medicinal ; Soil

The aim in this literature review was (1) to explore the physiologically and psychologically therapeutic benefits of forest bathing on adults suffering from pre-hypertension or hypertension, and (2) to identify the type, duration, and frequency of an effective forest bathing intervention in the management of pre-hypertension and hypertension, so as to provide directions for future interventions or research. The electronic databases PubMed, Cochrane Library, CINAHL, PsyINFO, and the China Academic Journals (CAJ) offered through the Full-text Database (CNKI) were searched for relevant studies published from the inception of the databases to April 2019. Of the 364 articles that were identified, 14 met the criteria for inclusion in this review. The synthesis of the findings in the included studies revealed that forest bathing interventions were effective at reducing blood pressure, lowering pulse rate, increasing the power of heart rate variability (HRV), improving cardiac-pulmonary parameters, and metabolic function, inducing a positive mood, reducing anxiety levels, and improving the quality of life of pre-hypertensive or hypertensive participants. Forest walking and forest therapy programs were the two most effective forest bathing interventions. Studies reported that practicing a single forest walking or forest therapy program can produce short-term physiological and psychological benefits. It is concluded that forest bathing, particularly forest walking and therapy, has physiologically and psychologically relaxing effects on middle-aged and elderly people with pre-hypertension and hypertension.
Adult ; Aged ; Aged, 80 and over ; Female ; Forests ; Humans ; Hypertension ; prevention & control ; Male ; Middle Aged ; Prehypertension ; prevention & control ; Relaxation Therapy ; statistics & numerical data ; Young Adult

To clarify the difference of soil moisture characteristics between mixed broad leaf-conifer forest soil and artificial cultivation of Notopterygium incisum, the HYPROP system and the dew point potential meter were used to determine soil water retention curves(SWRC) for samples of two horizons(i.e. 2-7 cm, 10-15 cm). The basic physical and chemical properties of soil and its water characteristic parameters were also determined. The result showed as fllows:①The bulk density of mixed coniferous-broad leaf forest soil was between 0.33 and 0.52 g·cm~(-3), significantly lower than the corresponding value of field soil(1.01-1.18 g·cm~(-3))(P<0.05), While the organic matter content was significantly higher than the corresponding value of field soil(P<0.05). ②The saturated water content(θ_s), field water holding capacity(θ_(FC)) and Water that can be effectively utilized by plants(θ_(PAC)) of mixed coniferous-broadleaved forest soil were significantly higher than the corresponding value of field soil(P<0.05), while the retained water content(θ_r) value that cannot be effectively utilized by plants was significantly lower than that of field soil(P<0.05). ③The values of structural porosity(0.13-0.24 cm~3·cm~(-3)) and Matrix porosity(0.34-0.44 cm~3·cm~(-3)) of mixed coniferous-broadleaved forest soil were higher than the corresponding values of field soil. Therefore, with low bulk density and high content of organic matter, mixed coniferous-broadleaved forest soil can store more water in soil in the form of effective water to meet the needs of plants for water, thus possibly forming high quality medicinal materials of Notopterygii Rhizoma et Radix. In conclusion, the results of this study can provide theoretical basis guidance for soil structure improvement and water management to form high quality medicinal materials in the artificial cultivation of N. incisum.
Apiaceae ; China ; Forests ; Soil ; Tracheophyta ; Water ; analysis

This study is aimed to reveal the rhizosphere soil fungal community structure difference of Coptis chinensis cropping between natural forest and artificial shed modes, and provide theoretical guidance for soil improvement and C. chinensis planting. The rhizosphere soil samples of 1-5-year-old C. chinensis under natural forest and artificial shed modes were collected. Illumina high-throughput sequencing technology was used to analyze the community structure and diversity of soil fungi under the tow cropping modes,and the effects of soil nutriment indices on soil fungal community structure. The results suggested that the abundance and diversity of fungal communities in soil of 2-5-year-old C. chinensis were not significant different in both two cropping modes, but it was significantly higher than that in the 1-year-old C. chinensis. Comparing soil samples from the same year-old C. chinensis under the two cropping modes, it was found that there was no significant difference in the abundance and diversity of fungal communities. The fungal community of the rhizosphere soil was different in composition and abundance between tow cropping modes, and between different planting years. The 17 phyla,59 classes and 155 orders,and 17 phyla,59 classes and 157 orders were detected in the rhizosphere soil of C. chinensis under the cropping modes of natural forest and the artificial shed, respectively. Ascomycota, Basidiomycota and Mortierellomycota were dominant phyla in rhizosphere soil, and the average abundance of the 3 phyla accounted for 74.36% and 74.30% of the total fungi. The results of analysis of similarities showed that there were significant differences in the fungal community structure of 1-year-old and 2-year-old C. chinensis soil fungi, and there was no significant difference in the community structure of 3-5-year-old samples. Under the natural forest cropping mode, there were significant differences among the samples of different years. Under the artificial shed cropping, there were significant differences in fungal community structure between 1-year-old and 3-5-year-old C. chinensis soil, and between 2-year-old and 3-5-year-old C. chinensis soil. The results of canonical correlation analysis showed that soil pH and soil organic matter content were the main factors affecting the soil fungal community structure. Soil organic matter content was positively correlated with Basidiomycota and Cryptomycota, pH was negatively correlated with Basidiomycota and C. ryptomycota. The planting of C. chinensis has promoted the diversity and abundance of rhizosphere fungal community significantly. For the same year-old C. chinensis soil, abundance of fungal community was no significant difference between two cropping modes. There are significant differences in the rhizosphere soil fungal community structure between tow cropping modes in the first two years of planting. Through the interaction between the rhizosphere and the soil and the continuous selection of the rhizosphere to the fungal community, the fungal community structure tended to be the same between the two cropping modes in rhizosphere soil of 3-5-year old C. chinensis. The soil pH and orga-nic matter content were the main factors affecting the change of fungal community structure.
Coptis ; Forests ; Fungi ; Mycobiome ; Plant Roots ; Rhizosphere ; Soil ; Soil Microbiology

BACKGROUND: In recent years, many of Japanese workers have complained of fatigue and stress, considering them as risk factors for depression. Studies have found that "forest bathing" (Shinrin-yoku) has positive physiological effects, such as blood pressure reduction, improvement of autonomic and immune functions, as well as psychological effects of alleviating depression and improving mental health. In this study, we investigate the physiological and psychological effects of "forest bathing" on people of a working age with and without depressive tendencies. METHODS: We conducted physiological measurements and psychological surveys before and after forest bathing with subjects who participated in day-long sessions of forest bathing, at a forest therapy base located in Hiroshima Prefecture. After excluding severely depressed individuals, the participants were classified into two groups: those with depressive tendencies (5 ≤ K6 ≤ 12) and those without depressive tendencies (K6 < 5) for comparative study. The evaluation indices measured were systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse rate (PR), autonomic functions, and profile of mood states (POMS). RESULTS: Of the 155 participants, 37% had depressive tendencies, without any differences observed between males and females. All participants showed significant decrease in SBP, DBP, and in negative POMS items after a forest bathing session. Before the session, those with depressive tendencies scored significantly higher on the POMS negative items than those without depressive tendencies. After forest bathing, those with depressive tendencies demonstrated significantly greater improvement in many of POMS items than those without depressive tendencies, and many of them no longer differed between those with and without depressive tendencies. CONCLUSIONS Examining the physiological and psychological effects of a day-long session of forest bathing on a working age group demonstrated significant positive effects on mental health, especially in those with depressive tendencies. Not applicable; this is not a report of intervention trial.
Adult ; Blood Pressure ; Depression ; physiopathology ; psychology ; Female ; Forests ; Heart Rate ; Humans ; Japan ; Male ; Mental Health ; statistics & numerical data ; Middle Aged ; Quality of Life ; psychology ; Young Adult

The growth parameters,clonal propagation parameters and sexual reproduction parameters of Acanthopanax giraldii population were systematically investigated and analyzed by means of population ecology in this study. The correlation among the above mentioned parameters and the correlation among canopy density,topography and soil fertility factors were analyzed. It is clear that there was a significant correlation among the clonal ramets,the fruit production capacity of the cluster and the new shoot production capacity of the A. giraldii. Sexual reproduction and clonal reproduction played an important role in the continuation of the population. Illumination was the key ecological factor that determined growth type. The increase in canopy density changed the population from " group clonal growth" to " guerrilla clonal growth",and the higher stand closure degree and low-strength herb layer competition was a necessary condition for seed germination and colonization. Under the background of natural forest protection and sustainable development of resources,the reproductive characteristics of wild A. giraldii resulted in the decrease of its recoverable quantity.
Ecosystem ; Eleutherococcus ; growth & development ; physiology ; Forests ; Reproduction ; Soil

PURPOSE: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. MATERIALS AND METHODS: We analyzed 943 patients who underwent transrectal ultrasonography (TRUS)-guided prostate biopsy at Chungnam National University Hospital between 2014 and 2018 because of elevated PSA levels and/or abnormal digital rectal examination and/or TRUS findings. We retrospectively reviewed the patients’ medical records, analyzed the prediction rate of prostate cancer, and identified 20 feature importances that could be compared with biopsy results using 5 different algorithms, viz., logistic regression (LR), support vector machine, random forest (RF), extreme gradient boosting, and light gradient boosting machine. RESULTS: Overall, the cancer detection rate was 41.8%. In patients younger than 75 years and with a PSA level less than 20 ng/mL, the best prediction model for prostate cancer detection was RF among the machine learning methods based on LR analysis. The PSA density was the highest scored feature importances in the same patient group. CONCLUSIONS: These results suggest that the prediction rate of prostate cancer using machine learning methods not inferior to that using LR and that these methods may increase the detection rate for prostate cancer and reduce unnecessary prostate biopsy, as they take into consideration feature importances affecting the prediction rate for prostate cancer.
Biopsy ; Chungcheongnam-do ; Digital Rectal Examination ; Forests ; Humans ; Logistic Models ; Machine Learning ; Medical Records ; Prostate ; Prostate-Specific Antigen ; Prostatic Neoplasms ; Retrospective Studies ; Support Vector Machine ; Ultrasonography

OBJECTIVE: Enhanced technology in computer and internet has driven scale and quality of data to be improved in various areas including healthcare sectors. Machine Learning (ML) has played a pivotal role in efficiently analyzing those big data, but a general misunderstanding of ML algorithms still exists in applying them (e.g., ML techniques can settle a problem of small sample size, or deep learning is the ML algorithm). This paper reviewed the research of diagnosing mental illness using ML algorithm and suggests how ML techniques can be employed and worked in practice. METHODS: Researches about mental illness diagnostic using ML techniques were carefully reviewed. Five traditional ML algorithms-Support Vector Machines (SVM), Gradient Boosting Machine (GBM), Random Forest, Naïve Bayes, and K-Nearest Neighborhood (KNN)-frequently used for mental health area researches were systematically organized and summarized. RESULTS: Based on literature review, it turned out that Support Vector Machines (SVM), Gradient Boosting Machine (GBM), Random Forest, Naïve Bayes, and K-Nearest Neighborhood (KNN) were frequently employed in mental health area, but many researchers did not clarify the reason for using their ML algorithm though every ML algorithm has its own advantages. In addition, there were several studies to apply ML algorithms without fully understanding the data characteristics. CONCLUSION: Researchers using ML algorithms should be aware of the properties of their ML algorithms and the limitation of the results they obtained under restricted data conditions. This paper provides useful information of the properties and limitation of each ML algorithm in the practice of mental health.
Bays ; Forests ; Health Care Sector ; Internet ; Learning ; Machine Learning ; Mental Health ; Residence Characteristics ; Sample Size ; Support Vector Machine