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In the design of wireless sensor networks (WSNs), it is important to reduce energy consumption and extend the service life of the sensors. Selecting one of the minimum sensor combinations (MSCs) that can monitor all areas, while the other MSCs are asleep, can effectively extend the lifetime of WSNs. This paper proposes two algorithms based on Formal Concept Analysis (FCA) for extracting some MSCs, to minimize the energy consumption and meet the coverage requirement. These two methods firstly extract the concept lattice from a monitor-areas context, and then it is simple to extract sensor nodes monitoring the overlapping area from the concept lattice. The algorithms consist of three steps as follows: the first step is to transform sensors and monitoring areas into a context, the second is to extract the concept lattice and implications among areas, and the third is to extract some different MSCs that can monitor all areas. Thus, some strategies are designed to awaken different MSCs to achieve the purpose of reducing energy consumption. Experimental results show that these methods have played a positive effect on extracting different MSCs and extending the lifetime of sensor networks. [ABSTRACT FROM AUTHOR]

Objective. To investigate the differences in the awareness, knowledge, and management of osteoporosis from a cohort of medical staff after educational intervention. Methods. A total of 653 medical workers from different departments related to the prevention and treatment of osteoporosis from 7 hospitals in Ningxia were enrolled. Information was collected using a designed questionnaire. Results. After 5 years of educational intervention and follow-up, medical staff had an increased understanding of osteoporosis diagnosis, including dual-energy X-ray, ultrasound bone sonometer, fragility fracture history, biochemistry markers, and the awareness of the susceptible population. However, there was no improvement in the cognition of single/dual photo absorptiometry, symptoms and signs, and bone turnover index. Their understanding of antiosteoporosis drugs, especially the application of calcitonin, diphosphates, and vitamin D, was significantly promoted, while the perception of indicators and time in follow-up, some adverse drug reactions, and exercise therapy remained unchanged. Medical staff were remarkably less aware of the management of follow-up for osteoporosis, exercise and diet therapy, and bone turnover markers. Conclusion. A great gap was identified in the perception of osteoporosis among medical staff in the Ningxia region. After the educational intervention, the knowledge regarding some aspects of osteoporosis generally improved. Much more effort should be made to strengthen the training and learning on the special detection methods of osteoporosis, medications and exercise therapy, and follow-up management. [ABSTRACT FROM AUTHOR]

Objective. The risk factors for the most common adverse reactions of two types of antiosteoporosis drugs in the first treatment of postmenopausal osteoporosis were analyzed to investigate the relationship between the occurrence of adverse reactions and different bone transition states and vitamin D levels. Methods. A total of 381 postmenopausal women who were diagnosed with osteoporosis in the Osteoporosis Clinic of Ningxia Medical University General Hospital from January 2017 to June 2020 were enrolled. A telephone follow-up survey was conducted on the mentioned subjects. According to the survey results, the mentioned subjects were selected according to their first use of antiosteoporosis drugs. They were divided into zoledronic acid and teriparatide acetate groups. The subjects in the two groups were divided into two groups according to the presence or absence of adverse reactions after medication and according to vitamin D level and P1NP level, and the correlation between the two factors and the occurrence of adverse reactions was analyzed. Results. Among the 307 patients treated with zoledronic acid for antiosteoporosis, 99 patients developed acute phase adverse reactions (APR+), accounting for 32.2% of the total subjects. 56.7 percent of the subjects had vitamin D deficiency. The 25(OH)D level of the APR + subjects was 16.75 ± 9.20 ng/mL, significantly lower than that of the APR− patients (23.68 ± 10.67 ng/mL). Serological P1NP level in APR+ patients was 73.95 ± 34.50 ng/ml, significantly higher than that of APR− patients with 55.80 ± 36.91 ng/ml. Musculoskeletal symptoms were observed in 14 of the 74 subjects treated with teriparatide acetate, accounting for 18.9% of the total subjects. The 25(OH)D level was deficient in 59.5% of the subjects. The 25(OH)D level of the subjects with musculoskeletal symptoms was 15.96 ± 8.17 ng/ml, while that of the subjects without musculoskeletal symptoms was 20.86 ± 8.52 ng/ml, which showed no statistical significance. The reason was considered to be related to the small sample size included in the study. The P1NP level of subjects with musculoskeletal symptoms was 96.85 ± 58.52 ng/ml, significantly higher than the P1NP level of subjects without musculoskeletal symptoms (55.28 ± 27.87 ng/ml). Conclusions. The 25(OH)D level in vivo was negatively correlated with the acute phase adverse reactions after the first infusion of zoledronic acid. When the rate of bone formation is increased and osteoblasts are active, the risk of acute phase adverse reactions is increased with the use of zoledronic acid as antiosteoporosis therapy. There was no significant correlation between 25(OH)D levels and musculoskeletal symptoms after teriparatide acetate treatment of osteoporosis. When the rate of bone formation is increased and osteoblasts are active, the risk of adverse reactions to musculoskeletal symptoms is increased with antiosteoporosis treatment with teriparatide acetate. [ABSTRACT FROM AUTHOR]

Objective. To investigate the changes of UCP1 protein in brown fat by establishing a model of gestational diabetes mellitus through intervention of high fat and carbohydrate diet. To explore the changes of UCP1 protein in brown fat in gestational diabetic mice, and analyze the characteristics of abnormal glucose metabolism in gestational diabetic mice and its relationship with changes in adipocyte morphology and insulin resistance. Methods. Eighty C57BL/6J pregnant mice were randomly divided into a normal control group and a high-fat and high-sugar feeding group. The normal control group was fed a normal diet, while the high-fat and high-sugar group was fed a high-fat and high-sugar diet to establish a gestational diabetes mellitus (GDM) model. On the pregnancy days 0, 10, and 18, the weight and fasting glucose were measured. On the pregnancy day 18, the triglycerides (TG), the total cholesterol (TC), free fatty acid (FFA), insulin levels, and insulin resistance index (HOMA-IR) were measured or calculated. At the same time, brown fat UCP1 protein of the two groups of pregnant mice were measured using Western blot Observed the Adipose tissue pathological changes by staining HE. The adipocyte was observed, and the correlation was analyzed. Results. Twenty-one pregnant mice reach the level of gestational diabetes diagnosis (FBG ≥ 5.1 mmol/L) in the high-fat and high-sugar diet group. On the pregnancy day 10 and 18, the fasting plasma glucose and the body weight significantly increased (P < 0.05). The total cholesterol, triglycerides, free fatty acid, insulin level, and insulin resistance index of the GDM group were also higher compared with that of the control group (P < 0.05). The adipocyte size significantly increased in the GDM mice. TG, TC, FFA, and body weight at 18 days of gestation were significantly correlated with HOMA-IR and single-adipocyte area in the GDM mice. HOMA-IR was significantly correlated with a single-adipocyte area. Compared with the normal control group, the UCP1 proteins of GDM mice decreased significantly and negatively correlated with body weight increase. Conclusion. Feeding C57BL/6J pregnant mice with high fat and high sugar to establish a gestational diabetes mouse model has good stability and is similar to human gestational diabetes. The reduction of brown fat UCP1 protein in GDM mice has a certain correlation with obesity tendency and obvious insulin resistance. [ABSTRACT FROM AUTHOR]