Problem-solving model guided by stimulus-organism-response theory:State of mind and coping styles of depressed mothers after cesarean delivery

BACKGROUND The use of a problem-solving model guided by stimulus-organism-response(SOR)theory for women with postpartum depression after cesarean delivery may inform nursing interventions for women with postpartum depression.AIM To explore the state of mind and coping style of women with depression after cesarean delivery guided by SOR theory.METHODS Eighty postpartum depressed women with cesarean delivery admitted to the hospital between January 2022 and October 2023 were selected and divided into two groups of 40 cases each,according to the random number table method.In the control group,the observation group adopted the problem-solving nursing model under SOR theory.The two groups were consecutively intervened for 12 weeks,and the state of mind,coping styles,and degree of post-partum depression were analyzed at the end of the intervention.RESULTS The Edinburgh Postnatal Depression Scale and Hamilton Depression Scale-24-item scores of the observation group were lower than in the control group after care,and the level of improvement in the state of mind was higher than that of the control group(P<0.05).The level of coping with illness in the observation group after care(26.48±3.35)was higher than that in the control group(21.73±3.20),and the level of avoidance(12.04±2.68)and submission(8.14±1.15)was lower than that in the control group(15.75±2.69 and 9.95±1.20),with significant differences(P<0.05).CONCLUSION Adopting the problem-solving nursing model using SOR theory for postpartum depressed mothers after cesarean delivery reduced maternal depression,improved their state of mind,and coping level with illness.

Qualia Role-Based Quantity Relation Extraction for Solving Algebra Story Problems

A qualia role-based entity-dependency graph(EDG)is proposed to represent and extract quantity relations for solving algebra story problems stated in Chinese.Traditional neural solvers use end-to-end models to translate problem texts into math expressions,which lack quantity relation acquisition in sophisticated scenarios.To address the problem,the proposed method leverages EDG to represent quantity relations hidden in qualia roles of math objects.Algorithms were designed for EDG generation and quantity relation extraction for solving algebra story problems.Experimental result shows that the proposedmethod achieved an average accuracy of 82.2%on quantity relation extraction compared to 74.5%of baseline method.Another prompt learning result shows a 5%increase obtained in problem solving by injecting the extracted quantity relations into the baseline neural solvers.

Second-order problem solving:Nurses'perspectives on learning from.near misses

Objectives:Near misses happen more frequently than actual errors,and highlight system vulnerabilities without causing any harm,thus provide a safe space for organizational learning.Second-order problem solving behavior offers a new perspective to better understand how nurses promote learning from near misses to improve organizational outcomes.This study aimed to explore frontline nurses’perspectives on using second-order problem solving behavior in learning from near misses to improve patient safety.Methods:A qualitative exploratory study design was employed.This study was conducted in three tertiary hospitals in east China from June to November 2015.Purposive sampling was used to recruit 19 frontline nurses.Semi-structured interviews and a qualitative directed content analysis was undertaken using Crossan’s 4I Framework of Organizational Learning as a coding framework.Results:Second-order problem solving behavior,based on the 4I Framework of Organizational Learning,was referred to as being a leader in exposing near misses,pushing forward the cause analysis within limited capacity,balancing the active and passive role during improvement project,and promoting the continuous improvement with passion while feeling low-powered.Conclusions:4I Framework of Organizational Learning can be an underlying guide to enrich frontline nurses’role in promoting organizations to learn from near misses.In this study,nurses displayed their pivotal role in organizational learning from near misses by using second-order problem solving.However,additional knowledge,skills,and support are needed to maximize the application of second-order problem solving behavior when near misses are recognized.

Integration of axiomatic design and theory of inventive problem solving for conceptual design

Axiomatic design (AD) and theory of inventive problem solving (TRIZ) are widely used in conceptual design. Both of them have limitations, however. We presented an integrated model of these two methods to increase the efficiency and quality of the problem solving process for conceptual design. AD is used for systematically defining and structuring a problem into a hierarchy. Sometimes, the design matrix is coupled in AD which indicates the functional requirements are coupled. TRIZ separation principles can be used to separate non-independent design parameters, which provide innovative solutions at each hierarchical level. We applied the integrated model to the heating and drying equipment of bitumen reproduction device. The result verifies that the integrated model can work very well in conceptual design.

Self-directed learning readiness and social problem solving of nursing students in Macao

Objective The aims of this study were to describe nursing students′self-directed learning readiness and social problem solving and test their correlations in Macao.Methods This descriptive cross-sectional study was conducted on 140baccalaureate nursing students.A stratified random sampling was performed.The Self-directed Learning Readiness(SDLR)Scale and Chinese Social Problem-Solving Inventory-Revised(C-SPSI-R)were used.Results The response rate was 79.3%.Students possessed readiness for self-directed learning(mean 149.09±12.53,51.4%at high level,48.6%at low level).Regarding to social problem solving,the mean scores of each subscale were 9.35±3.25(Rational Problem Solving,RPS),10.26±3.23(Positive Problem Orientation,PPO),8.14±4.06(Negative Problem Orientation,NPO),5.67±4.44(Avoidance Style,AS),and 4.84±3.03(Impulsivity/Carelessness Style,ICS).SDLR was positively related to RPS and PPO,but was negatively related to AS.Conclusion Half of students possessed stronger readiness for self-directed learning.Students had a belief in the ability to solve problems,and adopted relevant strategies in solving problems.However,students still had negative and dysfunctional orientation and defective attempts in solving problems.Self-directed learning was positively related to positive and constructive orientation,but was negatively related to defective problem-solving pattern.Nurse educators should create educational climates for promoting student confidence and mutual responsibility for learning and their thinking process for problem solving.

Is it Visual? The Importance of a Problem Solving Module within a Computing Course

This paper looks at student's view of the usefulness of a problem solving and programming module in the first year of a 3-year undergraduate program.The School of Science and Technology,University of Northampton,UK has been investigating,over the last seven years the teaching of problem solving.Including looking at whether a more visual approach has any benefits(the visual programming includes both 2-d and graphical user interfaces).Whilst the authors have discussed the subject problem solving and programming in the past [1] this paper considers the students perspective from research collected/collated by a student researcher under a new initiative within the University.All students interviewed either had completed the module within the two years of the survey or were completing the problem-solving module in their first year.

Using Design Thinking and Facebook to Accompany Women in Solving Water Problems in Morocco

Environmental issues are complex and malicious problems involving many characteristics, variables, increasing their level of uncertainty. How should victims of these problems be accompanied when trying to solve such complex environmental disasters？ A broad understanding of these problems and a feeling of self-efficacy must be present in problem solvers in order for them to persevere up to the formulation of effective solutions. Two new trends in problem solving inspired the development of an approach to accompany citizens dealing with environmental problems： design thinking and the use of ICT in problem solving. Design thinking, a creative solving approach created by IDEO, is a collaborative way to work during which intuition, abductive thinking, quick prototyping and the consumers＇ needs are put first. As for ICT, they can now be used to store, share, develop and criticize information and solutions （Facebook, Padlet... ）. Design thinking and Facebook were drawn on to accompany 10 poorly educated Moroccan women in solving a problem arising from flooding of the Ourika river. The women were taught to use electronic tablets and Facebook. During workshops and through Facebook, women were invited to share their experiences with floods and to find solutions to the poor quality of their drinking water, after floods. Design thinking allowed participants to explore many dimensions of the chosen problem and to prototype a certain number of solutions to purify their water. Facebook was profitable to better define the problem and as a communication and brainstorming tool （before and during the water filtration prototype trials）. Design thinking and Facebook turned out to be effective tools to pose the water problem more widely, to find solutions adapted to the participants＇ living conditions and to improve their self-efficacy in problem solving as well as their collaboration.

Forgetting In Creative Problem Solving for College Students

As more and more benefits of forgetting have been found in recent studies,whether forgetting could promote individuals ability of creative problem solving remains a controversial debate.This article discusses the effect of two types of forgetting,the retrieval-induced forgetting(RIF)and the forgetting during incubation,in benefiting creative problem solving by introducing and analysing the relevant experiments.The results reveal that retrieval-induced forgetting only works when previous mental fixations occurred and the promotion varies when solving different types of problems.The level of RIF is irrelevant to the performance in solving closed-ended creative problems and high level of RIF even impairs the creativity when solving open-ended problems.And forgetting during incubation cannot explain the incubation effect.The spreading activation of relevant information or the unconscious work is more likely to be the possible reasons.In conclusion,the current article brings about the discussions about the work conditions and effects of forgetting in creative problem solving.

Does Exercise in Older Adults Predict Problem Solving? The Role of Personality

Research suggests that physical fitness is positively associated with cognitive functioning in older adults, and that executive functions may be associated in particular. This study explored whether personality supplemented the relationship between physical activity and problem-solving. A computerized version of the Tower of London provided number of errors and time to completion as dependent variables using a sample of 65 community-dwelling older people. The NEO-FFI assessed the Big 5 dimensions of personality. Choice reaction time was used to control for changes in speed of processing with increased age. Age remained a significant predictor of both dependent variables, with neuroticism and agreeableness also showing predictive ability. Aerobic fitness was not associated with either outcome measure, suggesting that there might be differential effects of exercise on measures of different executive functions. Personality factors appear to have a stronger association with the cognitive function that has been reported previously.

Standardization Plays an Indispensable Role in Solving Energy Problems

On June 27th, the China Construction Ministry (CCM) announced that China will intensify efforts to implement the supervision of construction standards with the goal of promoting energy saving practices. By 2010, urban construction projects are expected to achieve energy savings of 50%, and by 2020 to save 351 million tons of coal.……

Comparative Study on Results of Euler,Improved Euler and Run­ge-Kutta Methods for Solving the Engineering Unknown Problems

The paper presents the comparative study on numerical methods of Euler method,Improved Euler method and fourth-order Runge-Kutta method for solving the engineering problems and applications.The three proposed methods are quite efficient and practically well suited for solving the unknown engineering problems.This paper aims to enhance the teaching and learning quality of teachers and students for various levels.At each point of the interval,the value of y is calculated and compared with its exact value at that point.The next interesting point is the observation of error from those methods.Error in the value of y is the difference between calculated and exact value.A mathematical equation which relates various functions with its derivatives is known as a differential equation.It is a popular field of mathematics because of its application to real-world problems.To calculate the exact values,the approximate values and the errors,the numerical tool such as MATLAB is appropriate for observing the results.This paper mainly concentrates on identifying the method which provides more accurate results.Then the analytical results and calculates their corresponding error were compared in details.The minimum error directly reflected to realize the best method from different numerical methods.According to the analyses from those three approaches,we observed that only the error is nominal for the fourth-order Runge-Kutta method.

Solving an Age Old Problem A new law requires children to visit their aging parents

MORE than 10 years ago, the song Come Home As Often As You Can to See Your Parents became popular in China, reminding young people of their obli- gation to set aside their hectic lives and return to their hometowns to visit their aging parents. Today, the idea expressed in this song has been codified in Chinese law.

The Characteristics of Preschool Children’s Collaborative Problem Solving:A Discourse Analysis in Project-Based Learning

Considered a crucial skill in the 21st century,collaborative problem solving(CPS)has been an essential development task for preschool children.This study analyzes preschool children’s discourse in the project-based learning(PBL)process and presents the following findings.Firstly,in the collaborative dimension,the frequency of children’s discourse on establishing and maintaining shared understanding(U)and taking appropriate action to solve the problem(A)is relatively high,while that on establishing and maintaining team organization(O)is relatively low.Secondly,in the problem solving dimension,the frequency of children’s discourse on planning and executing(P&E)is the highest,while that on monitoring and reflecting(M&R)is the lowest.Thirdly,in terms of turn taking patterns,self-selection accounts for a significantly higher proportion than allocation and continuation.Overall,preschool children’s CPS is characterized by loose collaboration and multilinear problem solving.They are usually keener to strive for opportunities to express their views but lack attention to others’speeches.At the same time,they can constantly come up with new problem solving plans and actions but rarely reflect on their feasibility and actual effects.In addition to children’s collaborative role,teachers’intervention can also impact the CPS processes.Therefore,teachers are recommended to provide children with opportunities for CPS and strengthen monitoring,guidance,and support in children’s CPS processes to facilitate better child engagement in CPS.

Evolutionary Programming for IP/MIP Problems with Linear Constraints

In this paper, we propose a modified evolutionary programming with dynamic domain for solving nonlinear IP/MIP problems with linear constraints, without involving penalty function or any transformation for the problem to a linear model or others. The numerical results show that the new algorithm gives a satisfactory performance in which it works of high speed, and accuracy in IP/MIP problems.

Complex Problems Solution as a Service Based on Predictive Optimization and Tasks Orchestration in Smart Cities

Smart cities have different contradicting goals having no apparent solution.The selection of the appropriate solution,which is considered the best compromise among the candidates,is known as complex problem-solving.Smart city administrators face different problems of complex nature,such as optimal energy trading in microgrids and optimal comfort index in smart homes,to mention a few.This paper proposes a novel architecture to offer complex problem solutions as a service(CPSaaS)based on predictive model optimization and optimal task orchestration to offer solutions to different problems in a smart city.Predictive model optimization uses a machine learning module and optimization objective to compute the given problem’s solutions.The task orchestration module helps decompose the complex problem in small tasks and deploy them on real-world physical sensors and actuators.The proposed architecture is hierarchical and modular,making it robust against faults and easy to maintain.The proposed architecture’s evaluation results highlight its strengths in fault tolerance,accuracy,and processing speed.

Effectiveness of Computer Assisted Problem based Learning in Chemistry for Enhancing Thinking Skills among Secondary School Students

Experiencing problems that challenges science and the thought, habits of mind and actions associated with trying to solve them is one of the best ways of learning Chemistry. This impels opportunities for authentic, inquiry based learning. PBL （problem based learning） is a student centered pedagogy in which students learn about a subject through the experience of problem solving. The goals of PBL are to help the students develop flexible knowledge, effective problem solving skills, self-directed learning, effective collaborative skills and intrinsic motivation. CAPBL （computer assisted problem based learning） has been created to expand the boundaries of the creativity and the creativity of students beyond the four walls of the classroom. In the present study the investigator tested the effectiveness of the CAPBL material in Chemistry for enhancing thinking skills among secondary school students. The sample consisted of 100 secondary school students. The study revealed that the CAPBL material in Chemistry is effective in enhancing thinking skills such as critical thinking, creativity and problem solving.

Unemployment,a Problem Being Solved in China

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Construction and Practice of a Practical Teaching System for Normal Universities Based on Ability Cultivation

This study aims to explore the effect of project-based teaching methods on improving students’ abilities in normal universities. This study delves into the practice teaching system based on ability training implemented in normal universities, examining the application of this teaching model in teacher education and the potential challenges it may encounter. Our case study reveals that the Project-Based Learning (PBL) approach can effectively transform students from passive recipients of knowledge into active problem solvers, thereby enhancing their critical thinking, problem-solving, teamwork, and communication skills. However, challenges do exist, including ensuring active participation from all students, providing equal opportunities for each student to develop and showcase their abilities, and completing complex projects within a limited timeframe. Therefore, teachers may need to adjust their teaching strategies, and schools need to provide more resources and support. These adjustments can help the practice teaching system based on ability training better serve teacher education and offer students a higher-quality educational experience.