Seasonal variations of the prevalence of metabolic syndrome and its markers using big-data of health check-ups

BACKGROUND@#It is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups.@*METHODS@#A total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG).@*RESULTS@#We found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations.@*CONCLUSIONS@#This finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance.

Rupture-A symbolic timing point of the natural abdominal rupture during cadaver decay / 中国法医学杂志

Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.

Correlation study of age,gender and lumbar vertebral marrow fat in adults based on MRI iterative decomposition of water and fat with echo asymmetry and least-squares estimation image quantitation imaging technique / 中国脊柱脊髓杂志

Objectives:To investigate the relationships between vertebral marrow fat in lumbar spine and age and gender in adults using iterative decomposition of water and fat with echo asymmetry and least-squares estimation image quantitation(IDE AL-IQ)magnetic resonance imaging technology.Methods:The IDEAL-IQ fat fraction images from 298 subjects(Male:138,Female:160,age range:20-69 years old)were collected.All the patients were divided into 5 groups based on age,with each group spanning a range of 10 years:age range 20-29 years(Twenties):24 males,20 females;30-39 years(Thirties):47 males,39 females;40-49 years(Forties):36 males,47 females;50-59 years(Fifties):20 males,37 females;60～69 years(Sixties):11 males,17 females.The bone marrow proton density fat fration(PDFF)were measured using GE ADW4.6 processing work station.Results:In the same age group,there were differences in vertebral bone marrow PDFF between gen-ders.PDFF of L1-L5 vertebrae was significantly higher in males than females in twenties,thirties and forties(P＜0.05).In the fifties,there was no statistically significant difference in the L1-L5 vertebrae PDFF between males and females(P＞0.05);while in the sixties,the PDFF of the L1-L5 vertebrae was lower in males than that in females(P＜0.05).The PDFF of lumbar vertebral bone marrow was positively correlated with age,with a higher correlation observed in females(r=0.72,P＜0.05)than that in males(r=0.32,P＜0.05).From the age of 20 to 69,the L4 vertebra PDFF in males had the highest growth rate(21.08％),while the L1 vertebra PDFF in female had the highest growth rate(65.68％).For males,the growth of PDFF was primarily concentrated in the thirties and fifties;The PDFF of L1,L4,and L5 vertebrae showed the largest increase in the fifties,while that of L2 and L3 vertebrae had the highest increase rate in the thirties.For females,vertebral PDFF showed a slight decrease trend in the group of thirties,which gradually increased subsequently in all vertebare in the group of forties,fifties,and sixties,with the largest increase rate observed in the fifties.Conclusions:There are differences in vertebral fat distribution between males and females across different age groups,and the growth rates of vertebral PDFF also vary;the PDFF of vertebral bodies in different segments of the lumbar spine is positively correlated with age.

Heart sound classification using energy distribution features extracted with wavelet packet decomposition / 中国医学物理学杂志

Objective To propose a distribution feature extraction algorithm based on wavelet packet coefficients to reconstruct the signal energy sequence for effectively identifying the pathological features of heart sounds,thereby realizing the early screening of heart diseases.Methods The original heart sound signal was decomposed into 10 layers using wavelet packet decomposition algorithm.After obtaining the wavelet packet coefficients of each layer,each coefficient was reconstructed,and the energy of the reconstructed signal was calculated and arranged in the original order to form the energy sequence.The distribution characteristics of the energy sequence of the reconstructed signals at each layer were analyzed,and distribution features were taken as classification features.Support vector machine,K-nearest neighbor,and decision tree were used to classify and recognize normal heart sounds and the heart sound signals of various diseases.Results The combination of the distribution features of the reconstructed signal energy sequence and decision tree classifier had an accuracy of 93.6%for classifying 5 types of heart sounds on the public dataset,and the accuracy was 95.6%for identifying normal heart sounds and hypertrophic cardiomyopathy heart sounds.Conclusion The proposed algorithm can extract the effective pathological information of abnormal heart sounds,providing a reference for clinical cardiac auscultation.

Ultrasound vector flow imaging combined with singular value decomposition filtering for depicting deep microvasculature flow velocity of liver / 中国医学影像技术

Objective To observe the value of ultrasound vector flow imaging(VFI)combined with singular value decomposition(SVD)filtering for depicting deep microvasculature flow velocity of liver.Methods Grayscale ultrasound,CDFI and contrast-enhanced ultrasound(CEUS)were prospectively performed in a patient with suspected liver hemangioma.Images of CEUS were dealt with SVD filtering.Cross-correlation algorithm was used to obtain images of VFI based on grayscale ultrasound,original CEUS and SVD filtered CEUS,respectively,and the ability of the above images for depicting liver microvascular flow direction and velocity were compared.Results The signal-to-noise ratio(SNR)of liver grayscale ultrasound,original CEUS and SVD filtered CEUS images was 7.56,17.65 and 22.43 dB,respectively,while their contrast-to-issue ratio(CTR)was 1.12,7.56 and 16.34 dB,respectively.Compared with VFI based on grayscale ultrasound and original CEUS,VFI based on SVD filtered CEUS could display faster velocity and more uniform direction of blood flow.Before and after SVD filtering,liver microvascular flow velocity measured with VFI was 1.91(0.81,4.11)and 6.83(4.25,9.41)mm/s,respectively,which were significantly different(Z=-10.671,P＜0.001).Conclusion Combined with SVD filtering could significantly improve the efficiency of VFI for depicting liver deep microvasculature flow velocity.

Quantitative evaluation of gender differences in supraclavicular fat related to fat metabolism with IDEAL-IQ in healthy young adults / 实用放射学杂志

Objective To evaluate the gender differences in fat water fraction(FWF)related to fat metabolism in supraclavicular region of neck with iterative decomposition of water and fat with echo asymmetry and least square estimation iron quantification(IDEAL-IQ)sequence quantitatively.Methods Twenty healthy female and twenty healthy male volunteers were selected for a MRI examination with IDEAL-IQ,then the FWF of R2*,brown adipose tissue(BAT)and white adipose tissue(WAT)were obtained by post-processing.The differences of FWF between the two groups were compared by Mann-Whitney U test.Results There was sig-nificant difference in the FWF of BAT and WAT between the two groups(P＜0.05).The FWF of BAT in the female was higher than that the male,and the FWF of WAT in the male was higher than that the female,there was no significant difference in the R2*between the two groups(P＞0.05).Conclusion IDEAL-IQ sequence can be used to evaluate the FWF in supraclavicular region of neck quantitatively,and classify BAT and WAT,then provide clinical according to the quantitative study of fat content.

Study on the level of binary coping and its influencing factors in patients with perimenopausal syndrome / 中国实用护理杂志

Objective:To explore the current situation of binary coping in patients with perimenopausal syndrome and analyze its influencing factors, in order to provide a basis for improving the level of binary coping.Methods:Using convenience sampling method, a total of 210 patients with perimenopausal syndrome and their spouses from the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine were cross-sectional surveyed by a general data questionnaire, the Binary Coping Scale, and the Modified Kupperman Score Scale. The influencing factors of binary coping level in patients with perimenopausal syndrome were explored by univariate analysis and variance decomposition model analysis.Results:A total of 200 valid questionnaires were retrieved.The patients aged (50.52 ± 2.89) years old. The binary coping score was (79.64 ± 22.74) points. The variance decomposition model analysis showed that marriage age, type of medical insurance, number of children, education level, family monthly income, spouse′s education level, presence of major comorbidities in spouse, modified Kupperman score, presence of generalized anxiety in spouse were the main influencing factors of binary coping in patients with perimenopausal syndrome (all P<0.05). Conclusions:The binary coping scores of patients with perimenopausal syndrome are lower than normal, and considering the influence and involvement of patients' spouses, nursing staff should pay special attention to patients who are married relatively early, have more children, have lower education levels, and have lower family monthly incomes. Additionally, attention should be given to spouses who experience widespread anxiety, have a lower level of education, and suffer from major chronic diseases. By developing and implementing comprehensive intervention measures aimed at improving the Kupperman score and the level of binary coping, both parties can be encouraged to support each other more effectively, thereby improving the marital relationships of patients during the perimenopausal period.

The Quantitative Analysis of Dynamic Mechanisms Impacting Gastric Cancer Cell Proliferation via Serine/glycine Conversion / 生物化学与生物物理进展

ObjectiveGastric cancer (GC) seriously affects human health and life, and research has shown that it is closely related to the serine/glycine metabolism. The proliferation ability of tumor cells is greatly influenced by the metabolism of serine and glycine. The aim of this study was to investigate the molecular mechanism of serine/glycine metabolism can affect the proliferation of gastric cancer cells. MethodsIn this work, a stable metabolic dynamic model of gastric cancer cells was established via a large-scale metabolic network dynamic modeling method in terms of a potential landscape description of stochastic and non-gradient systems. Based on the regulation of the model, a quantitative analysis was conducted to investigate the dynamic mechanism of serine/glycine metabolism affecting the proliferation of gastric cancer cells. We introduced random noise to the kinetic equations of the general metabolic network, and applied stochastic kinetic decomposition to obtain the Lyapunov function of the metabolic network parameter space. A stable metabolic network was achieved by further reducing the change in the Lyapunov function tied to the stochastic fluctuations. ResultsDespite the unavailability of a large number of dynamic parameters, we were able to successfully construct a dynamic model for the metabolic network in gastric cancer cells. When extracellular serine is available, the model preferentially consumes serine. In addition, when the conversion rate of glycine to serine increases, the model significantly upregulates the steady-state fluxes of S-adenosylmethionine (SAM) and S-adenosyl homocysteine (SAH). ConclusionIn this paper, we provide evidence supporting the preferential uptake of serine by gastric cancer cells and the important role of serine/glycine conversion rate in SAM generation, which may affect the proliferation ability of gastric cancer cells by regulating the cellular methylation process. This provides a new idea and direction for targeted cancer therapy based on serine/glycine metabolism.

Food preference of Phylloicus sp. (Insecta: Trichoptera): experimental study with plant species from the Cerrado / Preferência alimentar de Phylloicus sp. (Insecta: Trichoptera): trabalho experimental com espécies vegetais do Cerrado

Abstract The aquatic insects of the genus Phylloicus play a crucial role in aquatic ecosystems, shredding leaves and contributing to nutrient cycling in streams. Therefore, this genus is often used in laboratory experiments. However, in Cerrado regions such as Araguaia, these studies are impractical due to a lack of knowledge about basic aspects, such as their feeding preferences for local plants. Hence, our objective is to determine the native plant species in the Araguaia region preferred as food by Phylloicus. We conducted an experimental study comparing the consumption of three native Cerrado plant species: Casearia sylvestris, Astronium fraxinifolium, and Ficus guaranítica by Phylloicus. To assess differences in consumption, we performed an Analysis of Variance. The results revealed that Phylloicus larvae exhibited a feeding preference for Casearia sylvestris (F = 9.71; p = 0.004). This finding will contribute to the development of future experimental studies using Phylloicus in the Araguaia region, as understanding the feeding preferences of animals used in experiments is essential for their maintenance in the laboratory.

Resumo Os insetos aquáticos do gênero Phylloicus desempenham um papel essencial nos ecossistemas aquáticos, fragmentando folhas e contribuindo para a ciclagem de nutrientes nos riachos. Por isso, esse gênero é frequentemente utilizado em experimentos de laboratório. No entanto, em regiões de Cerrado como o Araguaia, esses trabalhos são inviáveis por não se conhecer aspectos básicos como a sua preferência alimentar por plantas locais. Por isso, nosso objetivo é responder quais são as espécies vegetais nativas da região do Araguaia preferidas para a alimentação de Phylloicus. Fizemos um trabalho experimental comparando o consumo de três espécies vegetais nativas do Cerrado: Casearia sylvestris, Astronium fraxinifolium e Ficus guaranítica pelos Phylloicus. Para avaliar as diferenças no consumo, realizamos uma Análise de Variância. Os resultados obtidos revelaram que as larvas de Phylloicus demonstraram preferência alimentar por Casearia sylvestris (F = 9.71; p = 0.004). Esse achado ajudará no desenvolvimento de futuros trabalhos experimentais utilizando Phylloicus na região do Araguaia, uma vez que é essencial o conhecimento da preferência alimentar dos animais utilizados nos experimentos para sua manutenção em laboratório.

Supercritical transesterification of vegetable oil and ethanol: temperature and residence time effects on phase formation and water content

Supercritical transesterification has emerged as a readily available alternative for biodiesel production since no catalyst is required, thereby generating fewer waste products. In this research, the supercritical transesterification of refined vegetable oil and aqueous ethanol was carried out at temperatures 400 to 480 °C and a 12:1 ethanol to oil molar ratio, to assess the effect of temperature and residence time in the formation of a homogeneous phase, effluent appearance and increased water content derived from glycerol etherification. The results showed that water was produced at temperatures higher than 400 °C, as expected from the occurrence of glycerol etherification, and that prolonged times resulted in gas and soot formation, indicating esters decomposition. Through water mass balances, it was possible to identify the set of operation conditions in which the water formed from glycerol etherification matched with the maximum expected according to the proposed reaction scheme.

La transesterificación supercrítica se ha propuesto como una alternativa para la producción de biodiesel ya que no requiere catalizador de esta manera se generan menos residuos. En esta investigación, la transesterificación supercrítica de aceite vegetal refinado y etanol acuoso se llevó a cabo a temperaturas en el rango 400 a 480 °C y relación molar etanol a aceite de 12:1, para evaluar el efecto de la temperatura y el tiempo de residencia en la formación de una fase homogénea, apariencia del efluente e incremento del contenido de agua resultado de las reacciones de eterificación del glicerol. Los resultados mostraron que se produjo agua a temperaturas mayores a 400°C, atribuida a la eterificación del glicerol, y que tiempos de residencia prolongados resultaron en formación de gas y hollín, indicativo de reacciones de descomposición de esteres. A través de balances de masa, fue posible identificar el conjunto de condiciones de operación a las cuales el agua formada por la eterificación del glicerol coincide con el valor máximo esperado de acuerdo con el esquema de reacción propuesto.

A transesterificação supercrítica foi proposta como uma alternativa para a produção de biodiesel porque não requer catalisador e, dessa forma, gera menos resíduos. Nesta pesquisa, a transesterificação supercrítica de aceite vegetal refinado e etanol acuoso foi conduzida a temperaturas entre 400 e 480 °C e uma relação molar de etanol e aceite de 12: 1, para avaliar o efeito da temperatura e do tempo de residência na formação de uma fase homogênea, apariência do efluente e aumento do conteúdo de água resultante das reações de eterificação do glicerol. Os resultados mostraram que se produziu água a temperaturas maiores que 400°C, atribuída à eterificação do glicerol, e que os tempos de residência prolongados resultaram na formação de gás e hollín, indicativo de reações de decomposição de ésteres. Por meio de balanças de massa, foi possível identificar o conjunto de condições de operação em que a água formada pela eterificação do glicerol coincide com o valor máximo esperado de acordo com o esquema de reação proposto.

Mortality and years of life lost of lung cancer among residents in Pudong New Area of Shanghai from 1995 to 2021 / 上海预防医学

ObjectiveTo investigate the epidemiological traits and potential years of life lost associated with lung cancer mortality among inhabitants of Shanghai's Pudong New Area from 1995 to 2021， in order to serve as a reference for developing intervention approaches. MethodsThe death surveillance system was used to gather statistics on lung cancer deaths. Crude mortality rate （CMR）， standardized mortality rate （SMR）， potential years of life lost （PYLL）， average years of life lost （AYLL）， annual percent change （APC） of the lung cancer deaths were analyzed. The impact of age-structural and non-age-structural factors on changes in lung cancer mortality was quantified using difference decomposition. ResultsThe CMR and SMR of lung cancer among residents in Pudong New Area between 1995 and 2021 were 58.21/105 and 26.75/105， respectively. The CMR of lung cancer increased over the years （APC=1.91%， 95%CI=1.60%‒2.30%； Z=11.487， P<0.001）， and the SMR of lung cancer declined over the years （APC=-1.50%， 95%CI=-1.80%‒-1.20%； Z=-9.006， P<0.001）. Age structure factors and gender factors contributed to the increase of lung cancer mortality， while non-population age structure factors overall appeared to play a protective role which might be related to the improvements in factors such as tobacco control and environmental management. The PYLL of lung cancer was 160 296 person years， the PYLL rate was 2.24‰， and the AYLL was 3.86 years per person. ConclusionAge structure factors are a significant contributor to the disease burden and result in the increase in the crude lung cancer mortality rate of Pudong residents of shanghai. Comprehensive monitoring， preventive， and control methods should be implemented.

Multiresolution discrete optimization registration method of ultrasound and magnetic resonance images based on key points / 生物医学工程学杂志

The registration of preoperative magnetic resonance (MR) images and intraoperative ultrasound (US) images is very important in the planning of brain tumor surgery and during surgery. Considering that the two-modality images have different intensity range and resolution, and the US images are degraded by lots of speckle noises, a self-similarity context (SSC) descriptor based on local neighborhood information was adopted to define the similarity measure. The ultrasound images were considered as the reference, the corners were extracted as the key points using three-dimensional differential operators, and the dense displacement sampling discrete optimization algorithm was adopted for registration. The whole registration process was divided into two stages including the affine registration and the elastic registration. In the affine registration stage, the image was decomposed using multi-resolution scheme, and in the elastic registration stage, the displacement vectors of key points were regularized using the minimum convolution and mean field reasoning strategies. The registration experiment was performed on the preoperative MR images and intraoperative US images of 22 patients. The overall error after affine registration was (1.57 ± 0.30) mm, and the average computation time of each pair of images was only 1.36 s; while the overall error after elastic registration was further reduced to (1.40 ± 0.28) mm, and the average registration time was 1.53 s. The experimental results show that the proposed method has prominent registration accuracy and high computational efficiency.

A semi-supervised material quantitative intelligent imaging algorithm for spectral CT based on prior information perception learning / 南方医科大学学报

OBJECTIVE@#To propose a semi-supervised material quantitative intelligent imaging algorithm based on prior information perception learning (SLMD-Net) to improve the quality and precision of spectral CT imaging.@*METHODS@#The algorithm includes a supervised and a self- supervised submodule. In the supervised submodule, the mapping relationship between low and high signal-to-noise ratio (SNR) data was constructed through mean square error loss function learning based on a small labeled dataset. In the self- supervised sub-module, an image recovery model was utilized to construct the loss function incorporating the prior information from a large unlabeled low SNR basic material image dataset, and the total variation (TV) model was used to to characterize the prior information of the images. The two submodules were combined to form the SLMD-Net method, and pre-clinical simulation data were used to validate the feasibility and effectiveness of the algorithm.@*RESULTS@#Compared with the traditional model-driven quantitative imaging methods (FBP-DI, PWLS-PCG, and E3DTV), data-driven supervised-learning-based quantitative imaging methods (SUMD-Net and BFCNN), a material quantitative imaging method based on unsupervised learning (UNTV-Net) and semi-supervised learning-based cycle consistent generative adversarial network (Semi-CycleGAN), the proposed SLMD-Net method had better performance in both visual and quantitative assessments. For quantitative imaging of water and bone materials, the SLMD-Net method had the highest PSNR index (31.82 and 29.06), the highest FSIM index (0.95 and 0.90), and the lowest RMSE index (0.03 and 0.02), respectively) and achieved significantly higher image quality scores than the other 7 material decomposition methods (P < 0.05). The material quantitative imaging performance of SLMD-Net was close to that of the supervised network SUMD-Net trained with labeled data with a doubled size.@*CONCLUSIONS@#A small labeled dataset and a large unlabeled low SNR material image dataset can be fully used to suppress noise amplification and artifacts in basic material decomposition in spectral CT and reduce the dependence on labeled data-driven network, which considers more realistic scenario in clinics.

Deep learning-based dose prediction in radiotherapy planning for head and neck cancer / 南方医科大学学报

OBJECTIVE@#To propose an deep learning-based algorithm for automatic prediction of dose distribution in radiotherapy planning for head and neck cancer.@*METHODS@#We propose a novel beam dose decomposition learning (BDDL) method designed on a cascade network. The delivery matter of beam through the planning target volume (PTV) was fitted with the pre-defined beam angles, which served as an input to the convolution neural network (CNN). The output of the network was decomposed into multiple sub-fractions of dose distribution along the beam directions to carry out a complex task by performing multiple simpler sub-tasks, thus allowing the model more focused on extracting the local features. The subfractions of dose distribution map were merged into a distribution map using the proposed multi-voting mechanism. We also introduced dose distribution features of the regions-of-interest (ROIs) and boundary map as the loss function during the training phase to serve as constraining factors of the network when extracting features of the ROIs and areas of dose boundary. Public datasets of radiotherapy planning for head and neck cancer were used for obtaining the accuracy of dose distribution of the BDDL method and for implementing the ablation study of the proposed method.@*RESULTS@#The BDDL method achieved a Dose score of 2.166 and a DVH score of 1.178 (P < 0.05), demonstrating its superior prediction accuracy to that of current state-ofthe-art (SOTA) methods. Compared with the C3D method, which was in the first place in OpenKBP-2020 Challenge, the BDDL method improved the Dose score and DVH score by 26.3% and 30%, respectively. The results of the ablation study also demonstrated the effectiveness of each key component of the BDDL method.@*CONCLUSION@#The BDDL method utilizes the prior knowledge of the delivery matter of beam and dose distribution in the ROIs to establish a dose prediction model. Compared with the existing methods, the proposed method is interpretable and reliable and can be potentially applied in clinical radiotherapy.

Tensor decomposition: new strategy for deciphering mechanism of precision medicine for same treatment of different diseases / 中国中药杂志

The aging society has led to a substantial increase in the number of clinical comorbidities. To meet the needs of comorbidity treatment, polypharmacy is widely used in clinical practice. However, polypharmacy has drawbacks such as treatment conflict. Same treatment of different diseases refers to treating different diseases with same treatment. Therefore, the principle of same treatment of different diseases can alleviate the problems caused by polypharmacy. Under the research background of precision medicine, it becomes possible to explore the mechanism of same treatment of different diseases and achieve its clinical application. However, drugs successfully developed in the past have revealed shortcomings in clinical use. To better interpret the mechanism of precision medicine for same treatment of different diseases, under the multi-dimensional attributes including dynamic space and time, omics was performed, and a new strategy of tensor decomposition was proposed. With the characteristics of complete data, tensor decomposition is advantageous in data mining and can fully grasp the connotation of precision treatment of different diseases with same treatment under dynamic spatiotemporal changes. This method is used for drug repositioning in some biocomputations. By taking advantage of the dimensionality reduction of tensor decomposition and integrating the dual influences of time and space, this study achieved accurate target prediction of same treatment of different diseases at each stage, and discovered the mechanism of precision medicine of same treatment for different diseases, providing scientific support for precision prescription and treatment of different diseases with same treatment in clinical practice. This study thus conducted preliminary exploration of the pharmacological mechanism of precision Chinese medicine treatment.

A multiscale feature extraction algorithm for dysarthric speech recognition / 生物医学工程学杂志

In this paper, we propose a multi-scale mel domain feature map extraction algorithm to solve the problem that the speech recognition rate of dysarthria is difficult to improve. We used the empirical mode decomposition method to decompose speech signals and extracted Fbank features and their first-order differences for each of the three effective components to construct a new feature map, which could capture details in the frequency domain. Secondly, due to the problems of effective feature loss and high computational complexity in the training process of single channel neural network, we proposed a speech recognition network model in this paper. Finally, training and decoding were performed on the public UA-Speech dataset. The experimental results showed that the accuracy of the speech recognition model of this method reached 92.77%. Therefore, the algorithm proposed in this paper can effectively improve the speech recognition rate of dysarthria.

Fetal electrocardiogram signal extraction and analysis method combining fast independent component analysis algorithm and convolutional neural network / 生物医学工程学杂志

Fetal electrocardiogram (ECG) signals provide important clinical information for early diagnosis and intervention of fetal abnormalities. In this paper, we propose a new method for fetal ECG signal extraction and analysis. Firstly, an improved fast independent component analysis method and singular value decomposition algorithm are combined to extract high-quality fetal ECG signals and solve the waveform missing problem. Secondly, a novel convolutional neural network model is applied to identify the QRS complex waves of fetal ECG signals and effectively solve the waveform overlap problem. Finally, high quality extraction of fetal ECG signals and intelligent recognition of fetal QRS complex waves are achieved. The method proposed in this paper was validated with the data from the PhysioNet computing in cardiology challenge 2013 database of the Complex Physiological Signals Research Resource Network. The results show that the average sensitivity and positive prediction values of the extraction algorithm are 98.21% and 99.52%, respectively, and the average sensitivity and positive prediction values of the QRS complex waves recognition algorithm are 94.14% and 95.80%, respectively, which are better than those of other research results. In conclusion, the algorithm and model proposed in this paper have some practical significance and may provide a theoretical basis for clinical medical decision making in the future.

IDEAL-IQ Technique in the Quantitative Assessment of Muscle Fat Infiltration in Lower Limbs of Idiopathic Inflammatory Myopathies / 中国医学影像学杂志

Purpose To evaluate the fatty infiltration of lower limbs by using iterative decomposition of water and fat with asymmetry and least squares estimation quantitative fat imaging(IDEAL-IQ)technique in idiopathic inflammatory myopathy(IIM)patients,and to analyze the correlation between muscle fat fraction(FF)and clinical assessments.Materials and Methods Thirty-two patients with IIM were diagnosed by muscle biopsy and 32 age-,gender-matched healthy volunteers(control group)were recruited.T1WI,T2WI in axial view and IDEAL-IQ sequence of thighs were scanned on each subject.FF values of the anterior,interior and posterior thigh muscles were measured on the FF image generated in the IDEAL-IQ sequence,and medical research council scale score of the IIM group were collected.The difference of muscle FF value between the IIM group and control group was compared,the correlation between FF value and muscle strength of thigh muscles was also analyzed.Results The mean FF values of anterior,interior and posterior thigh muscles in IIM group were 16.60±3.67,6.77±4.92 and 17.32±4.01,respectively,which were significantly higher than those in control group(2.58±2.57,1.40±0.64 and 1.57±0.19),with statistically significant differences(t=-7.29,-6.91,-4.85;all P<0.05).Spearman test showed that the mean FF value was significantly correlated with course of disease(r=0.587,P<0.001).The mean FF values of anterior,interior and posterior thigh muscles were significantly correlated with muscle strength(r=-0.885,-0.761,-0.594;all P<0.001).Conclusion The IDEAL-IQ technique can quantitatively and objectively analyze the severity of muscle fat infiltration in IIM patients,and its degree is correlated with the muscle strength,which has significant clinical application value.

Characteristics of Motoneurons Controlling Single Finger Movement in Different Individuals / 医用生物力学

Objective To analyze characteristics of motoneurons controlling the extension of a single finger in different individuals, and obtain the similarity and difference of micro-motoneurons characteristics in different individuals. Methods The motoneurons were decomposed by blind source separation algorithm. The two dimensional (2D) features of the neurons were quantified, and the fingers were classified by the features of the neurons decomposed by different individuals. In addition, the proportion of shared motor neurons was used to study characteristics of motoneurons innervating the coordinated movement of different fingers between individuals. Results There were significant differences in spatial distribution of motoneurons between the index finger and the middle finger for different individuals, but the activation area was similar. Using data from different people as training sets and testing sets, the average accuracy of finger classification was 86. 99% , and it was significantly improved to 90. 07% after using transfer component analysis (TCA) calibration. Through analysis on the proportion of shared neurons in different individuals, it was found that the proportion of shared neurons between index finger and other three fingers (middle finger, ring finger and little finger) was relatively low, while that between ring finger and little finger was high. Conclusions The spatial discharge characteristics of motoneurons controlling different fingers in different individuals are similar and have small individual differences. This study reveals the internal neural mechanism of different individuals during finger movement, and provides references for clinical neural mechanism analysis of patients with finger movement disorders and the related engineering applications

Effects of nutrient (N, P, K) fertilization on the dynamics of fine roots in tropical rain forests with different soil texture in the Colombian Pacific region / Efectos de la fertilización con nutrientes (N, P, K) sobre la dinámica de raíces finas en bosques húmedos tropicales con diferente textura del suelo en la región del Pacífico colombiano

Abstract Introduction: Fine root dynamics include production, turnover and decomposition; they are crucial to forest health, affect the entire biogeochemical complex of the ecosystem, and consequently, they substantially affect carbon balance. However, the influence of environmental factors and soil nutrient limitation on fine roots presents considerable uncertainties and has not been studied in tropical forests with more than 7 000 mm annual rainfall. Objective: To measure the effect of fertilization on fine roots in the high precipitation Chocó forest. Methods: We worked in two sites of the Chocó region, Colombia (August 2014-May 2015), where rainfall exceeds 10 000 mm per year. We applied five fertilization treatments (N, P, K, NPK and Control) to two soil type plots. Soil cylinders were removed at pre-established intervals to measure roots. Results: Phosphorus applications increased fined roots; and more fine roots were produced in sandy than in loam soil. The effects of fertilization were related, but not clearly determined by edaphic conditions. Conclusions: In this Chocó forest, the production of fine roots was higher in sandy and nutrient-rich soils but belowground net primary productivity was limited by the content of edaphic Phosphorus.

Resumen Introducción: La dinámica de las raíces finas incluye producción, rotación y descomposición; son cruciales para la salud de los bosques, afectan todo el complejo biogeoquímico del ecosistema y, en consecuencia, afectan sustancialmente el balance de carbono. Sin embargo, la influencia de los factores ambientales y la limitación de nutrientes del suelo en las raíces finas presenta incertidumbres considerables y no se ha estudiado en bosques tropicales con más de 7 000 mm de precipitación anual. Objetivo: Medir el efecto de la fertilización en las raíces finas en el bosque chocoano de alta precipitación. Métodos: Se trabajó en dos sitios de la región del Chocó, Colombia (agosto 2014-mayo 2015), donde las precipitaciones superan los 10 000 mm anuales. Se aplicaron cinco tratamientos de fertilización (N, P, K, NPK y Control) a dos parcelas por tipo de suelo. Los cilindros de suelo se retiraron a intervalos preestablecidos para medir las raíces. Resultados: Las aplicaciones de fósforo aumentaron las raíces finas; y se produjeron más raíces finas en suelos arenosos que en francos. Los efectos de la fertilización estuvieron relacionados, pero no claramente determinados por las condiciones edáficas. Conclusiones: En este bosque chocoano, la producción de raíces finas fue mayor en suelos arenosos y ricos en nutrientes, pero la productividad primaria neta subterránea estuvo limitada por el contenido de fósforo edáfico.