Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective To reveal the development characteristics of fat percentage and muscle mass in three nomadic populations in the Hexi Corridor of Gansu.Methods Bioelectrical impedance analysis was used to determine the values of 13 indexes of fat percentage and muscle mass in 263 cases of Gansu Kazakhs,400 cases of Gansu Mongols,and 362 cases of Yugu adults.Results In the three nomadic populations of the Hexi Corridor,visceral fat level of males was significantly positively correlated with age,while total body muscle mass and estimated bone mass were significantly negatively correlated with age.In females,percent body fat,visceral fat grade,percent left and right upper limb fat,percent right lower limb fat and percent trunk fat were all significantly positively correlated with age,while trunk muscle mass was significantly negatively correlated with age.The result of principal component analysis showed that the three nomadic populations in the Hexi Corridor were close to each other in terms of fat percentage and muscle mass characteristics,with high visceral fat grades in males and normal visceral fat grade in females.Among the 13 populations,three nomadic groups in the Hexi Corridor had high fat percentage and muscle mass.Overall,the nomadic population had greater fat percentage and muscle mass than the semi-agricultural and semi-pastoral population,and even more significantly greater than the agrarian population.The long-term integration of the historical Hexi Corridor populations result ed in the relative proximity of the genetic structure of three nomadic populations,which was a genetic factor for the proximity of their fat percentage and muscle mass.Higher per capita disposable income was a socio-economic factor for high fat percentage and muscle mass among Gansu Kazakhs and Gansu Mongolians.Low average annual temperature was an environmental factor for high muscle mass among Gansu Kazakhs and Yugus.Conclusion Gansu Kazakhs,Gansu Mongols,and Yugus have the fat percentage and muscle mass characteristic of northern Chinese populations.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

AIM To evaluate the quality of Yanyangke Mixture.METHODS The HPLC fingerprints were established,after which cluster analysis,principal component analysis and partial least squares discriminant analysis were performed.The contents of liquiritin,rosmarinic acid,sheganoside,irisgenin,honokiol,monoammonium glycyrrhizinate,irisflorentin,isoliquiritin and magnolol were determined,the analysis was performed on a 35 ℃ thermostatic Agilent ZORBAX SB-C18 column(5 μm,250 mmx4.6 mm),with the mobile phase comprising of 0.1％phosphoric acid-acetonitrile flowing at 1 mL/min in a gradient elution manner,and multi-wavelength detection was adopted.RESULTS There were ten common peaks in the fingerprints for twelve batches of samples with the similarities of more than 0.9.Various batches of samples were clustered into three types,three principal components displayed the acumulative variance contribution rate of 87.448％,peaks 5、14(honokiol),3(liquiritin),11(monoammonium glycyrrhizinate)and 15(asarinin)were quality markers.Nine constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.5％-103.6％with the RSDs of 0.92％-1.7％.CONCLUSION This stable and reliable method can provide a basis for the quality control of Yanyangke Mixture.

Objective To reveal the characteristics of Tibetan human body composition in Gannan.Methods The body composition of 410 Tibetan adults(221 males and 189 females)in Gannan was measured by bioelectrical impedance method.The data were processed by SPSS 20.0 statistical software.Results Related analysis results showed that the total body muscle mass,estimated fat level and trunk muscle mass of the male decreased with age,while the percent body water,visceral fat level and percent trunk fat increased with age.The stature and left lower limb muscle mass of the female decreased with age,while body weight,percent body fat,body mass index,visceral fat level,percent right upper limb fat,right upper limb muscle mass,percent left upper limb,left upper limb muscle mass,percent right lower limb fat,percent left lower limb fat,left lower limb muscle mass and percent trunk fat increased with age.Analysis of single factor variance showed that there were statistically significant differences in the four indexes of male percent body water,visceral fat level,percent trunk fat and trunk muscle mass,while there were no statistically significant differences in the other 14 indexes among age groups.Females weight,stature,percent body fat,total body muscle mass,estimated fat level,body mass index,visceral fat level,percent right upper limb fat,right upper limb muscle mass,percent left upper limb fat,left upper limb muscle mass,percent right lower limb fat,percent left lower limb fat,left lower limb muscle mass,percent trunk fat,trunk muscle mass 16 index values were statistically significant differences between age groups,the remaining two index values were not statistically significant differences between age groups.The results of u test showed that the body weight,total body muscle mass,estimated fat level,percent body water,limb muscle mass and trunk muscle mass of males were higher than those of females,and percent body fat,limb fat rate,visceral fat rate and trunk fat rate of females were higher than those of males.According to the body mass index,Gannan Tibetan male and female were overweight;according to the percent body fat,Gannan Tibetan males were non-obesity and females were obesity.Conclusion The body mass index and overall fat content of Tibetan males and females in Gannan are relatively high among the 13 ethnic groups.

Objective To explore the common features of Chinese ethnic groups.Methods Eight body indexes of 62 ethnic groups in China were analyzed.Results The cluster analysis showed that 52 males and 59 females ethnic groups were grouped into the mixed group dominated by the northern ethnic group and the mixed group dominated by the southern ethnic group.Eight Han ethnic groups were grouped into each group,but no Han group was aggregated.The result of body index classification showed that the main body types of Chinese male population were long trunk,middle chest,wide shoulder,wide pelvis and middle leg.Middle body,wide chest,wide shoulder,wide pelvis and middle leg were the main body types of Chinese female population.This showed that the characteristics of Chinese ethnic groups had obvious consistency.The consistency of Chinese group features was related to its close origin.It should be said that Han nationality played an important role in the process of communication and integration of various ethnic groups in China.In the history of the Han nationality,there had been many large-scale population migration.The southern movement of the northern ethnic minorities into the northern Han and the southward movement of the northern Han into the south promoted the formation of the Southern Han,which made the southern Han and the northern Han had similar body features,and also promoted the southern ethnic minorities into the southern Han.In addition,the Han nationality who moved into minority areas also gradually integrated into minority areas.Conclusion There are obvious commonalities in Chinese ethnic groups.

Objective To explore the commonalities and differences of the body characteristics of different language groups in China.Methods The body index data of 65 343 adults(29 667 males and 35 676 females)from 8 language groups in China were measured.Principal component analysis was used to explore the characteristics of human body development in China.Results Among the eight language groups in China,the three ethnic groups of the Altai languages have the largest body weight,large trunk circumference,high stature,long lower limbs,and long trunk.The body height,length,weight and trunk circumference of the Han ethnic group were slightly inferior to those of the Altaic ethnic group.The Tibetan-Burmese ethnic group belongs to the group with higher body height,length,weight and trunk circumference in the southern ethnic group.In contrast,the Zhuang-Dong ethnic group,the Miao-Yao ethnic group and the South Asian ethnic group in the south had smaller trunk circumference,lighter weight,shorter stature,shorter lower limbs and shorter trunk.Conclusion The body characteristics of the northern(or southern)language groups are relatively close,which reflects the commonality of the characteristics of the Chinese language groups.The differences in the characteristics of Chinese language groups are mainly reflected in the fact that the index values of the three language groups in the north are significantly larger than those of the four language groups in the south.Genetic factors,geographical environment factors and social development factors all affect the body characteristics of Chinese language ethnic group.

Purpose::Intramedullary nailing is the preferred internal fixation technique for the treatment of subtrochanteric fractures because of its biomechanical advantages. However, no definitive conclusion has been reached regarding whether combined cable cerclage is required during intramedullary nailing treatment. This study is performed to compare the clinical effects of intramedullary nailing with cerclage and non-cerclage wiring in the treatment of irreducible spiral subtrochanteric fractures.Methods::Patients with subtrochanteric fractures admitted to our center from January 2013 to December 2021 were retrospectively analyzed. The patients were enrolled in the case-control study according to the inclusion and exclusion criteria and divided into the non-cerclage group and the cerclage group. The patients' clinical data, including the operative time, intraoperative blood loss, hospital stay, reoperation rate, fracture union time, and Harris hip score, were compared between these 2 groups. Categorical variables were compared using Chi-square or Fisher's exact test. Continuous variables with normal distribution were presented as mean ± standard deviation and analyzed with Student's t-test. Nonnormally distributed variables were expressed as median (Q 1, Q 3) and assessed using the Mann-Whitney test. A p < 0.05 was considered significant. Results::In total, 69 patients were included in the study (35 patients in the non-cerclage group and 34 patients in the cerclage group). The baseline data of the 2 groups were comparable. There were no significant difference in the length of hospital stay (z = -0.391, p = 0.696), operative time (z = -1.289, p = 0.197), or intraoperative blood loss (z = -1.321, p = 0.186). However, compared with non-cerclage group, the fracture union time was shorter (z = -5.587, p < 0.001), the rate of nonunion was lower (χ 2= 6.030, p = 0.03), the anatomical reduction rate was higher (χ 2= 5.449, p = 0.03), and the Harris hip score was higher (z =-2.99, p = 0.003) in the cerclage group, all with statistically significant differences. Conclusions::Intramedullary nailing combined with cable cerclage wiring is a safe and reliable technique for the treatment of irreducible subtrochanteric fractures. This technique can improve the reduction effect, increase the stability of fracture fixation, shorten the fracture union time, reduce the occurrence of nonunion, and contribute to the recovery of hip joint function.

Osteoporosis is an important cause of internal fixation loosening after spinal surgery.Cement-augmented pedicle screw instru-mentation(CAPSI)technique is the most widely used technique in clinical practice to improve the stability of pedicle screw,mainly applied in osteoporosis and revision surgery,which included conventional solid pedicles crews and fenestrated/cannulated pedicle screws technique.CAPSI technique may cause cement leakage and pulmonary embolism,and there is no consensus on its indications or technical points.Therefore,this article reviews the research progress of CAPSI,in order to provide relevant reference for clinical practice.

Although it has become a consensus in the field of colorectal surgery to perform radical tumor treatment and functional protection under the minimally invasive concept, there exist many controversies during clinical practice, including the concept of embryonic development of abdominal organs and membrane anatomy, the principle of membrane anatomy related to right hemicolectomy, D3 resection, and identification of the inner boundary. In this paper, we analyzed recently reported literature with high-level evidence and clinical data from the author's hospital to recognize and review the membrane anatomy-based laparoscopic assisted right hemicolectomy for right colon cancer, emphasizing the importance of priority of surgical dissection planes, vascular orientation, and full understanding of the fascial space, and proposing that the surgical planes should be dissected in the parietal-prerenal fascial space, and the incision should be 1 cm from the descending and horizontal part of the duodenum. The surgery should be performed according to a standard procedure with strict quality control. To identify the resection range of D3 dissection, it is necessary to establish a clinical, imaging, and pathological evaluation model for multiple factors or to apply indocyanine green and nano-carbon lymphatic tracer intraoperatively to guide precise lymph node dissection. We expect more high-level evidence of evidence-based medicine to prove the inner boundary of laparoscopic assisted radical right colectomy and a more rigorous consensus to be established.
Humans ; Laparoscopy/methods* ; Colonic Neoplasms/pathology* ; Lymph Node Excision/methods* ; Colectomy/methods* ; Dissection