To summarize the clinical experience and characteristics of Professor XU Xin in syndrome differentiation and treatment of polycystic ovary syndrome with insulin resistance （PCOS-IR）. XU Xin believes that the etiological factors of PCOS-IR is qi deficiency of the spleen and kidney， and the key disease mechanism is dysfunction in transportation and transformation of spleen and kidney， causing phlegm dampness and turbid heat accumulated in yangming， then evolving into the lower jiao， mixed with blood stasis， finally obstructing the chong （冲） and ren （任） mai and uterus. So in clinic， the method of boosting the kidney and fortifying the spleen was used through out the whole treatment commonly using modified Shoutai Pill （寿胎丸） and Sijunzi Decoction （四君子汤）. The main therapeutic method for treating PCOS-IR refers to clearing and draining dampness heat in yangming， invigorating blood and regulating period， with self-prescribed Yishen Quzhuo Formula （益肾祛浊方）， as a reference for the treatment of this disease.

With the scientific and modernization of acupuncture,various kinds of acupuncture medical equipment continue to innovate,especially with the emergence of intelligent acupuncture diagnosis and treatment units,automatic detection of acupuncture needles in the"needle retention"stage of acupuncture clinical practice has become a hot demand.Aiming at the problems that the input image size is too large,the acupuncture needles are slender,and the acupuncture needles are densely distributed,the Acupuncture Needle Object Detection Model(ANODM),an improved YOLOv5 model for acupuncture needles,is proposed in this paper.① In the preprocessing stage,the image is divided into multiple patches for prediction,respectively.② At the model structure level,a new small object detection layer is added to the original three detection layers to improve the recognition ability of small objects.The ordinary convolution of the backbone network is replaced by the dialated convolution to increase the sensitivity field.Features of different stages are fused.③ In the post-processing stage,Soft-NMS is used to reduce the miss rate of positive samples,and cosine similarity match is used to reduce the error rate of negative samples.The experimental results show that,compared with the original YOLOv5,the detection accuracy of the improved YOLOv5 in this paper is improved by 4.2%on the acupuncture needle small object dataset,which can better complete the acupuncture needle small target detection task.

With the scientific and modernization of acupuncture,various kinds of acupuncture medical equipment continue to innovate,especially with the emergence of intelligent acupuncture diagnosis and treatment units,automatic detection of acupuncture needles in the"needle retention"stage of acupuncture clinical practice has become a hot demand.Aiming at the problems that the input image size is too large,the acupuncture needles are slender,and the acupuncture needles are densely distributed,the Acupuncture Needle Object Detection Model(ANODM),an improved YOLOv5 model for acupuncture needles,is proposed in this paper.① In the preprocessing stage,the image is divided into multiple patches for prediction,respectively.② At the model structure level,a new small object detection layer is added to the original three detection layers to improve the recognition ability of small objects.The ordinary convolution of the backbone network is replaced by the dialated convolution to increase the sensitivity field.Features of different stages are fused.③ In the post-processing stage,Soft-NMS is used to reduce the miss rate of positive samples,and cosine similarity match is used to reduce the error rate of negative samples.The experimental results show that,compared with the original YOLOv5,the detection accuracy of the improved YOLOv5 in this paper is improved by 4.2%on the acupuncture needle small object dataset,which can better complete the acupuncture needle small target detection task.

In modern medicine,digestive diseases and gynecological diseases belong to different disciplines.From a holistic perspective of TCM,the combination of the two can be collectively referred to as Dai Meridian disease.TCM believes that the basic etiology and pathogenesis of this disease are the obstruction damp heat,the spleen obstruction of cold and dampness,the burning of fire and heat,and the deficiency of essence,qi,and blood causing the deficiency and depression of the meridian.The treatment mainly adopts the method of regulating Dai Meridian,which is a manifestation of the overall differentiation and treatment of TCM,by referring to the Dai Meridian,spleen,stomach,liver,and Thoroughfare Vessel and Conception Vessel.The method of regulating Dai Meridian includes clearing dampness and heat in the meridian,cooling and dampness in the warm meridian,relieving pain in the meridian,and strengthening the meridian deficiency.When treating abdominal symptoms including digestive and gynecological diseases in clinical practice,it is advisable to consider and flexibly apply it,simplify complexity,and with homotherapy for heteropathy.

This article reviews the current status, advantages, and limitations of the application of Internet of Things (IoT) technology in mental health services. It explores the prospects of IoT technology in this field. IoT technology has been successfully applied in smart hospitals, telemedicine, smart devices, and health management. However, there are few reports on IoT technology application in our country′s mental health services. In the field of mental health services, IoT technology can help improve the quality of life of patients with mental disorders and the effectiveness of medical services. Still, it also faces challenges brought about by patient privacy and security.

This article reviews the current status, advantages, and limitations of the application of Internet of Things (IoT) technology in mental health services. It explores the prospects of IoT technology in this field. IoT technology has been successfully applied in smart hospitals, telemedicine, smart devices, and health management. However, there are few reports on IoT technology application in our country′s mental health services. In the field of mental health services, IoT technology can help improve the quality of life of patients with mental disorders and the effectiveness of medical services. Still, it also faces challenges brought about by patient privacy and security.

ObjectiveTo investigate the deafness genetic mutation spectrum in nonsyndromic hearing impairment (NSHI) associated with enlarged vestibular aqueducts (EVA). MethodsFrom October, 2015 to August, 2016, 85 patients with NSHI from Hubei Yichang Special Education School were examined with temporal bone CT, and 20 deafness-related gene mutations in GJB2, GJB3, SLC26A4 and mtDNA 12S rRNA were detected with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. ResultsA total of 31 patients were found EVA with temporal bone CT. Compared with non-EVA patients, the proportion of deafness-related gene mutations was more in patients with EVA (χ² = 11.160, P = 0.001), especially for c.919-2A>G mutation of SLC26A4 (χ² = 23.870, P < 0.001). ConclusionThe deafness gene mutation spectrum is different in NSHI patients with or without EVA. It is needed to optimize genetic testing scheme for deafness for early diagnosis and intervention of NSHI associated with EVA.

Objective:To compare the clinical efficacy between a bidirectional-traction reduction device and a traction table in the treatment of femoral neck fracture with femoral neck system (FNS).Methods:A retrospective study was conducted in the 46 patients with femoral neck fracture who had been treated at Department of Orthopedics, The First Central Hospital of Baoding from January 2020 to January 2021. There were 19 males and 27 females, aged from 30 to 64 years (average, 47.1 years). According to the Garden classification, 29 cases were type Ⅲ and 17 type Ⅳ. By the reduction method, the patients were assigned into an observation group ( n=24) in which the reduction was assisted by a bidirectional-traction reduction device and a control group ( n=22) in which the reduction was assisted by a traction table. FNS fixation was conducted in both groups. The 2 groups were compared in terms of operation time, reduction time, fluoroscopy frequency, intraoperative blood loss, femoral neck shortening at immediate postoperation and 12 months postoperation, Harris scores of the affected hip at 3, 6, and 12 months postoperation, and incidence of lower extremity venous thrombosis. Results:There were no significant differences in age, gender or fracture type between the 2 groups, showing they were comparable ( P>0.05). The observation group needed significantly less operation time [57.5 (54.0, 64.5) min], reduction time [(16.3±3.0) min] and fluoroscopy frequency [(20.5±4.6) times] than the control group did [85.0 (71.3, 92.0) min, (21.0±6.0) min and (29.7±4.7) times, respectively] (all P<0.05). There was no significant difference in intraoperative blood loss between 2 groups ( P>0.05). All patients were followed up for 12 to 22 months (average, 15.5 months). There was no significant difference in femoral neck shortening between the 2 groups at immediate postoperation or 12 months postoperation ( P>0.05). The Harris score of the affected hip in the observation group was significantly better than that in the control group at 3 months after surgery ( P<0.05), but such a significant difference was not observed at 6 or 12 months postoperation ( P>0.05). The incidence of thrombotic complications in the observation group (12.5%, 3/24) was significantly lower than that in the control group (40.9%, 9/22) ( P<0.05). Conclusions:In the FNS treatment of femoral neck fracture, compared with a traction table, reduction assisted by a bidirectional-traction reduction device is more advantageous because it is simpler and less time-consuming, incurs less fluoroscopy and leads to better early functional recovery of the affected hip and lower incidence of thrombotic complications.

Objective Based on the data of chronic diseases and nutrition surveillance among Chinese adults in 2015,dyslipidemia and related factors were analyzed.Methods Multi-stage stratified cluster random sampling was used to select participants who were aged 18 and over,with questionnaire survey and related measurements conducted.Prevalence rates of dyslipidemia among participants by different characteristics and influencing factors were analyzed,using the method of complex weighting and post-weighted stratification.Results In all,7 404 participants were included.The overall prevalence of dyslipidemia was 30.5％ among the adults.The overall prevalence of dyslipidemia were 36.5％ in males and 24.4％ in females (P＜0.05).The prevalence rates of hypercholesterolemia,hypertriglyceridemia,high LDL-C,and low HDL-C were 3.7％,12.2％,5.3％,and 19.4％,respectively.Results from the multivariate logistic regression model analysis showed that age (OR=1.009,95％CI:1.000-1.018),female (OR=0.501,95％CI:0.397-0.632),College degree or above (OR=1.728,95％CI:1.257-2.374),alcohol consumption 3 (OR=0.711,95％CI:0.536-0.943),central obesity (OR=1.868,95％CI:1.547-2.257),BMI (OR=1.141,95％CI:1.098-1.186),hypertension (OR=1.259,95％CI:1.077-1.473) and diabetes (OR=2.025,95％CI:1.446-2.835) were influencing factors on dyslipidemia.Conclusions The prevalence of dyslipidemia seemed high among adults in Anhui.Risk factors should be closely monitored and under control,including those people with unhealthy lifestyles or being overweight,obesity,hypertensive and diabetic.

Objective To assess the feasibility of semi-quantitative scoring system for contrast-enhanced ultrasound (CEUS)quantitative analysis's color images in the differential diagnosis of breast nodules.Methods Totally 244 BI-RADS 4 breast solid lesions received CEUS before core needle biopsy or surgical resection were included.A semi-quantitative scoring system for color images of CEUS quantitative analysis were built.The scores were given as follows:1 )Color type and its distribution (0 to 4);2)Color scope (0 to 1 );3)Color margin (0 to 1 );4)Color shape (0 to1 ).The total score for each lesion would be from 0 to 7.And the differenital value between benign and malignant lesions were assessed.Results The total semi-quantitative scores of 102 malignant tumors (5.1 ±1 .7)was significant higher than that of benign lesions (3.34±0.7)(P < 0.05 ).In 102 malignant lesions,the total scores of 81 lesions (79.41 %)were more than 4 points,and in 142 benign lesions,the total scores of 89 lesions (62.67%)were less than 4 points.Depending on the Wilcox rank sum test (Mann-Whitney)analysis,the distribution of total scores between benign and malignant lesions was significant different (P <0.000 1).Total score 4 was selected as the best cutoff,the area under ROC curve was 0.749,on which the sensitivity,specificity and accuracy were 79.4%,62.7% and 69.67%,respectively.Conclusions The semi-quantitative scoring system of CEUS quantitative analysis color images showed good sensitivity but not satisfied specificity and accuracy in differential diagnosis between malignant and benign breast lesions.