Effect of motivational interviewing on postoperative weight control in patients with obstructive sleep apnea-hypopnea syndrome

BACKGROUND Obesity is an important factor to cause the obstructive sleep apnea-hypopnea syndrome(OSAHS).Higher body mass index(BMI)often results in more severe OSAHS.Currently,the common measures for controlling the weight mainly include diet control,increase exercise and so on.Motivational interviewing(MI)could explore the patient’s internal state and make the patient realize his/her ambivalence,resulting in the change in his/her behavior.This process emphasizes respecting the patient’s autonomy.AIM To evaluate the effect of MI on the weight control of patients with OSAHS.METHODS A randomized controlled study was conducted in 100 obese OSAHS patients undergoing surgical treatment at Shengjing Hospital of China Medical University.The patients were divided into an intervention group and a control group,with 50 cases each.The control group was given routine health education after the operation;in addition to the regular health education,the intervention group was given MI according to a predetermined plan.Obesity-related indicators,postoperative complications,and the sleep status of both groups were evaluated before and 6 mo after the intervention.RESULTS Patients in the intervention group had significantly improved body weight,BMI,and waist and neck circumferences compared with patients in the control group(P<0.05).Regarding complications at 6 mo after operation,the incidence of cough and reflux in patients in the intervention group was significantly lower than that in the control group(P<0.05).In addition,the Epworth Sleepiness Scale and Self-Rating Scale of Sleep scores of patients in the intervention group were significantly lower than those in the control group,and the sleep status of patients in the intervention group was improved(P<0.05).CONCLUSION MI intervention has a significant advantage over postoperative routine health education.It can greatly change the lifestyle,further control the postoperative weight,reduce the occurrence of complications,improve the quality of sleep,and improve long-term postoperative efficacy in OSAHS patients.

Novel Parameter Identification Method for Basis Weight Control Loop of Papermaking Process

The basis weight control loop of the papermaking process is a non-linear system with time-delay and time-varying.It is impractical to identify a model that can restore the model of real papermaking process.Determining a more accurate identification model is very important for designing the controller of the control system and maintaining the stable operation of the papermaking process.In this study,a strange nonchaotic particle swarm optimization(SNPSO)algorithm is proposed to identify the models of real papermaking processes,and this identification ability is significantly enhanced compared with particle swarm optimization(PSO).First,random particles are initialized by strange nonchaotic sequences to obtain high-quality solutions.Furthermore,the weight of linear attenuation is replaced by strange nonchaotic sequence and the time-varying acceleration coefficients and a mutation rule with strange nonchaotic characteristics are utilized in SNPSO.The above strategies effectively improve the global and local search ability of particles and the ability to escape from local optimization.To illustrate the effectiveness of SNPSO,step response data are used to identify the models of real industrial processes.Compared with classical PSO,PSO with timevarying acceleration coefficients(PSO-TVAC)and modified particle swarm optimization(MPSO),the simulation results demonstrate that SNPSO has stronger identification ability,faster convergence speed,and better robustness.

V-BILIPSCHITZ DETERMINACY OF WEIGHTED HOMOGENEOUS ANALYTIC FUNCTION-GERMS ON WEIGHTED HOMOGENEOUS REAL ANALYTIC VARIETIES

In this article, we provide estimates for the degree of V bilipschitz determinacy of weighted homogeneous function germs defined on weighted homogeneous analytic variety V satisfying a convenient Lojasiewicz condition.The result gives an explicit order such that the geometrical structure of a weighted homogeneous polynomial function germs is preserved after higher order perturbations.

Positioning-control Based on Trapezoidal Velocity Curve for High-precision Basis Weight Control Valve

Traditionally, basis weight control valve is driven by a constant frequency pulse signal. Therefore, it is difficult for the valve to match the control precision of basis weight. Dynamic simulation research using Matlab/Simulink indicates that there is much more overshoot and fluctuating during the valve-positioning process. In order to improve the valve-positioning precision, the control method of trapezoidal velocity curve was studied. The simulation result showed that the positioning steady-state error was less than 0.0056%, whereas the peak error was less than 0.016% by using trapezoidal velocity curve at 10 positioning steps. A valve-positioning precision experimental device for the stepper motor of basis weight control valve was developed. The experiment results showed that the error ratio of 1/10000 positioning steps was 4% by using trapezoidal velocity curve. Furthermore, the error ratio of 10/10000 positioning steps was 0.5%. It proved that the valve-positioning precision of trapezoidal velocity curve was much higher than that of the constant frequency pulse signal control strategy. The new control method of trapezoidal velocity curve can satisfy the precision requirement of 10000 steps.

Parameters optimization for exponentially weighted moving average control chart using generalized regression neural network

As a useful alternative of Shewhart control chart, exponentially weighted moving average （EWMA） control chat has been applied widely to quality control, process monitoring, forecast, etc. In this paper, a method was introduced for optimal design of EWMA and multivariate EWMA （MEWMA） control charts, in which the optimal parameter pair （ λ, k） or （ λ, h ） was searched by using the generalized regression neural network （GRNN）. The results indicate that the optimal parameter pair can be obtained effectively by the proposed strategy for a given in-control average running length （ARLo） and shift to detect under any conditions, removing the drawback of incompleteness existing in the tables that had been reported.

Time-inconsistent stochastic linear-quadratic control problem with indefinite control weight costs

A time-inconsistent linear-quadratic optimal control problem for stochastic differential equations is studied.We introduce conditions where the control cost weighting matrix is possibly singular.Under such conditions,we obtain a family of closed-loop equilibrium strategies via multi-person differential games.This result extends Yong’s work(2017) in the case of stochastic differential equations,where a unique closed-loop equilibrium strategy can be derived under standard conditions(namely,the control cost weighting matrix is uniformly positive definite,and the other weighting coefficients are positive semidefinite).

Synergistic Effect of Adjuvant Green Orange Peel Oil on Different Herbicides

[Objective] The paper was to explore the synergistic effect of a novel adjuvant green orange peel oil on different herbicides in direct sowing paddy field. [Method] The synergistic test of green orange peel oil on 10% cyanoflurate SC and 10% metamifop EC was conducted in 2019.[Result] The control effect of green orange peel oil 150 mL/hm^(2)+ 10% cyanoflurate SC 1 275 mL/hm^(2) on Echinochloa crusgalli and Leptochloa chinensis were significantly superior to that of 10% cyanoflurate SC 1 500 mL/hm^(2). The control effects of green orange peel oil 150 m L/hm^(2)+10%cyanoflurate SC 1 200 m L/hm^(2) on E. crusgalli and L. chinensis was equivalent to that of 10% cyanoflurate SC 1 500 mL/hm^(2). The control effect of green orange peel oil 150 mL/hm^(2)+ 10% metamifop EC 1 275 mL/hm^(2) on E. crusgalli and L. chinensis was equivalent to that of 10% metamifop EC 1 500 m L/hm^(2). [Conclusion] The green orange peel oil had certain synergistic effect on cyanoflurate and metamifop.

Influence of nutritional care during pregnancy on weight control and maternal and infant outcomes in patients with pregnancy-induced hypertension

Background Preeclampsia is a common disease in pregnant women,characterized by clinical manifestations such as hypertension and proteinuria,which not only seriously affect the safety of pregnant women,but also jeopardize the safety of the fetus,threatening maternal and infant safety.Currently,in addition to routine hypoglycemic and antihypertensive treatments,auxiliary treatment methods such as exercise and diet are gradually gaining clinical recognition.Therefore,this study aimed to observe the effects of comprehensive nutrition care during pregnancy on weight control during pregnancy and maternal and infant outcomes in patients with pregnancy-induced hypertension syndrome.Methods A total of 100 cases of preeclampsia patients in our hospital from August 2021 to May 2022 were selected and randomly divided into a nutrition group and a conventional group,with 50 cases in each group.The conventional group received routine care,while the nutrition group received additional comprehensive nutrition care during pregnancy based on routine care.The weight control and blood pressure control during pregnancy and maternal and infant outcomes of the two groups were observed.Results The weight control during pregnancy in the nutrition group was significantly better than that in the conventional group(P<0.05).There was no significant difference in systolic and diastolic blood pressure between the two groups before intervention(P>0.05),but both systolic and diastolic blood pressure in both groups were lower after intervention,with the nutrition group significantly lower than the conventional group(P<0.05).The incidence of neonatal asphyxia,placental abruption,postpartum hemorrhage,and cesarean section in the nutrition group was significantly lower than that in the conventional group(P<0.05).Conclusions Comprehensive nutrition care during pregnancy can effectively control weight and blood pressure levels in patients with preeclampsia,and improve maternal and infant outcomes.[S Chin J Cardiol 2024;25(3):156-161]

Aqueous RAFT Polymerization of Acrylamide： A Convenient Method for Polyacrylamide with Narrow Molecular Weight Distribution

Controlled and homogeneous flee-radical polymerization of acrylamide （AM） in aqueous phase was realized by using S,S＇-bis（α, α＇-dimethyl-α＂-acetic acid）-trithiocarbonate as a reversible addition-fragmentation transfer （RAFT） agent. Linear increases in molecular weight with conversion and narrow molecular weight distribution were observed for polyacrylamide （PAM） throughout the polymerization. By this method, PAMs with controlled molecular weight （up to 1.0 ~ 106） and narrow molecular weight distribution （Mw/Mn 〈 1.2） were prepared. This study provides an effective method for synthesis of PAMs with narrow molecular weight distribution under environmentally friendly conditions.

Development and application of a neural network based coating weight control system for a hot-dip galvanizing line

The hot-dip galvanizing line(HDGL) is a typical order-driven discrete-event process in steelmaking. It has some complicated dynamic characteristics such as a large time-varying delay, strong nonlinearity, and unmeasured disturbance, all of which lead to the difficulty of an online coating weight controller design. We propose a novel neural network based control system to solve these problems. The proposed method has been successfully applied to a real production line at Va Lin LY Steel Co., Loudi, China. The industrial application results show the effectiveness and efficiency of the proposed method, including significant reductions in the variance of the coating weight and the transition time.

Analysis of Classical Encryption Techniques in Cloud Computing

Cloud computing has become a significant computing model in the IT industry. In this emerging model,computing resources such as software, hardware, networking, and storage can be accessed anywhere in the world on a pay-per-use basis. However, storing sensitive data on un-trusted servers is a challenging issue for this model. To guarantee confidentiality and proper access control of outsourced sensitive data, classical encryption techniques are used. However, such access control schemes are not feasible in cloud computing because of their lack of flexibility, scalability, and fine-grained access control. Instead, Attribute-Based Encryption（ABE） techniques are used in the cloud. This paper extensively surveys all ABE schemes and creates a comparison table for the key criteria for these schemes in cloud applications.