Exploration of Problems and Solutions in Psychological Health Education for Preschool Children

The preschool period is a crucial stage for children’s physical and mental development,and the mental health status during this period directly affects children’s personality shaping and lifelong development.In recent years,China’s preschool education has flourished,with a continuous increase in the enrollment rate of children and an increasing emphasis on mental health education.However,there are still many problems in the current mental health education for preschool children,which urgently requires attention from all sectors of society.This article analyzes the main problems in mental health education for preschool children and proposes corresponding solutions,hoping to provide references for related research.

Go to the back before going forward:Addressing psychological responses in anterior cruciate ligament reconstruction rehabilitation

Helping athletes return to sports participation is a primary goal of anterior cruciate ligament(ACL)reconstruction rehabilitation.To facilitate the achievement of this goal,decades of research studies have sought to identify knee impairments that reduce knee function as well as interventions to resolve them.1Yet,over the past 10 years,research pertaining to psychological responses(i.e.,cognitions and emotions)after ACL reconstruction has grown exponentially—a phenomenon that can be visualized by entering the search terms"psychological"and"anterior cruciate ligament reconstruction"into the PubMed search engine.

Effects of psychological intervention on negative emotions and psychological resilience in breast cancer patients after radical mastectomy

Breast cancer(BC)is the most common malignant tumor in women,and the treatment process not only results in physical pain but also significant psychological distress in patients.Psychological intervention(PI)has been recognized as an important approach in treating postoperative psychological disorders in BC patients.It has been proven that PI has a significant therapeutic effect on postoperative psychological disorders,improving patients'negative emotions,enhancing their psychological resilience,and effectively enhancing their quality of life and treatment compliance.

A Comparative Study of Metaheuristic Optimization Algorithms for Solving Real-World Engineering Design Problems

Real-world engineering design problems with complex objective functions under some constraints are relatively difficult problems to solve.Such design problems are widely experienced in many engineering fields,such as industry,automotive,construction,machinery,and interdisciplinary research.However,there are established optimization techniques that have shown effectiveness in addressing these types of issues.This research paper gives a comparative study of the implementation of seventeen new metaheuristic methods in order to optimize twelve distinct engineering design issues.The algorithms used in the study are listed as:transient search optimization(TSO),equilibrium optimizer(EO),grey wolf optimizer(GWO),moth-flame optimization(MFO),whale optimization algorithm(WOA),slimemould algorithm(SMA),harris hawks optimization(HHO),chimp optimization algorithm(COA),coot optimization algorithm(COOT),multi-verse optimization(MVO),arithmetic optimization algorithm(AOA),aquila optimizer(AO),sine cosine algorithm(SCA),smell agent optimization(SAO),and seagull optimization algorithm(SOA),pelican optimization algorithm(POA),and coati optimization algorithm(CA).As far as we know,there is no comparative analysis of recent and popular methods against the concrete conditions of real-world engineering problems.Hence,a remarkable research guideline is presented in the study for researchersworking in the fields of engineering and artificial intelligence,especiallywhen applying the optimization methods that have emerged recently.Future research can rely on this work for a literature search on comparisons of metaheuristic optimization methods in real-world problems under similar conditions.

An Effective Meshless Approach for Inverse Cauchy Problems in 2D and 3D Electroelastic Piezoelectric Structures

In the past decade,notable progress has been achieved in the development of the generalized finite difference method(GFDM).The underlying principle of GFDM involves dividing the domain into multiple sub-domains.Within each sub-domain,explicit formulas for the necessary partial derivatives of the partial differential equations(PDEs)can be obtained through the application of Taylor series expansion and moving-least square approximation methods.Consequently,the method generates a sparse coefficient matrix,exhibiting a banded structure,making it highly advantageous for large-scale engineering computations.In this study,we present the application of the GFDM to numerically solve inverse Cauchy problems in two-and three-dimensional piezoelectric structures.Through our preliminary numerical experiments,we demonstrate that the proposed GFDMapproach shows great promise for accurately simulating coupled electroelastic equations in inverse problems,even with 3%errors added to the input data.

Effects of intensive psychological intervention on treatment compliance,psychological status,and quality of life of patients with epilepsy

BACKGROUND Epilepsy is a nervous system disease characterized by recurrent attacks,a long disease course,and an unfavorable prognosis.It is associated with an enduring therapeutic process,and finding a cure has been difficult.Patients with epilepsy are predisposed to adverse moods,such as resistance,anxiety,nervousness,and anxiety,which compromise treatment compliance and overall efficacy.AIM To explored the influence of intensive psychological intervention on treatment compliance,psychological status,and quality of life(QOL)of patients with epilepsy.METHODS The clinical data of 105 patients with epilepsy admitted between December 2019 and July 2023 were retrospectively analyzed,including those of 50 patients who underwent routine intervention(control group)and 55 who underwent intensive psychological intervention(research group).Treatment compliance,psychological status based on the Self-Rating Anxiety Scale(SAS)and Depression Scale Self-Rating Depression Scale(SDS)scores,hope level assessed using the Herth Hope Scale(HHS),psychological resilience evaluated using the Psychological Resilience Scale,and QOL determined using the QOL in Epilepsy-31 Inventory(QOLIE-31)were comparatively analyzed.RESULTS Treatment compliance in the research group was 85.5%,which is significantly better than the 68.0%of the control group.No notable intergroup differences in preinterventional SAS and SDS scores were identified(P>0.05);however,after the intervention,the SAS and SDS scores decreased significantly in the two groups,especially in the research group(P<0.05).The two groups also exhibited no significant differences in preinterventional HHS,Connor-Davidson Resilience Scale(CD-RISC),and QOLIE-31 scores(P>0.05).After 6 months of intervention,the research group showed evidently higher HHS,CD-RISC,tenacity,optimism,strength,and QOLIE-31 scores(P<0.05).CONCLUSION Intensive psychological intervention enhances treatment compliance,psychological status,and QOL of patients with epilepsy.

Psychological interventions for depression in children and adolescents:A bibliometric analysis

BACKGROUND Depression has gradually become a common psychological disorder among children and adolescents.Depression in children and adolescents affects their physical and mental development.Psychotherapy is considered to be one of the main treatment options for depressed children and adolescents.However,our understanding of the global performance and progress of psychological interventions for depression in children and adolescents(PIDCA)research is limited.AIM To identify collaborative research networks in this field and explore the current research status and hotspots through bibliometrics.METHODS Articles and reviews related to PIDCA from January 2010 to April 2023 were identified from the Web of Science Core Collection database.The Charticulator website,CiteSpace and VOSviewer software were used to visualize the trends in publications and citations,the collaborative research networks(countries,institutions,and authors),and the current research status and hotspots.RESULTS Until April 16,2023,1482 publications were identified.The number of documents published each year and citations had increased rapidly in this field.The United States had the highest productivity in this field.The most prolific institution was the University of London.Pim Cuijpers was the most prolific author.In the context of research related to PIDCA,both reference co-citation analysis and keywords co-occurrence analysis identified 10 research hotspots,including thirdwave cognitive behavior therapy,short-term psychoanalytic psychotherapy,cognitive behavioral analysis system of psychotherapy,family element in psychotherapy,modular treatment,mobile-health,emotion-regulation-based transdiagnostic intervention program,dementia risk in later life,predictors of the efficacy of psychological intervention,and risks of psychological intervention.CONCLUSION This bibliometric study provides a comprehensive overview of PIDCA from 2010 to present.Psychological intervention characterized as psychological-process-focused,short,family-involved,modular,internet-based,emotionregulation-based,and personalized may benefit more young people.

Application of psychological intervention in intensive care unit nursing for patients with severe acute pancreatitis

BACKGROUND Severe acute pancreatitis(SAP)is a familiar critical disease in the intensive care unit(ICU)patients.Nursing staff are important spiritual pillars during the treatment of patients,and in addition to routine nursing,more attention needs be paid to the patient’s psychological changes.AIM To investigate the effects of psychological intervention in ICU patients with SAP.METHODS One hundred ICU patients with SAP were hospitalized in the authors’hospital between 2020 and 2023 were selected,and divided into observation and control groups per the hospitalization order.The control and observation groups received routine nursing and psychological interventions,respectively.Two groups are being compared,using the Self-rating Anxiety Scale(SAS),Self-Determination Scale(SDS),Acute Physiology and Chronic Health Evaluation(APACHE)Ⅱ,and 36-item Short Form Health Survey(SF-36)scores;nursing satisfaction of patients;ICU care duration;length of stay;hospitalization expenses;and the incidence of complications.RESULTS After nursing,the SDS,SAS,and APACHEⅡ scores in the experimental group were significantly lower than in the control group(P<0.05).The SF-36 scores in the observation group were significantly higher than those in the control group(P<0.05).The nursing satisfaction of patients in the experimental group was 94.5%,considerably higher than that of 75.6% in the control group(P<0.05).The ICU care duration,length of stay,and hospitalization expenses in the observation group were significantly lower than those in the control group,and the incidence of complications was lower(P<0.05).CONCLUSION For patients with SAP,the implementation of standardized psychological intervention measures can effectively alleviate adverse psychological conditions.

Highly Accurate Golden Section Search Algorithms and Fictitious Time Integration Method for Solving Nonlinear Eigenvalue Problems

This study sets up two new merit functions,which are minimized for the detection of real eigenvalue and complex eigenvalue to address nonlinear eigenvalue problems.For each eigen-parameter the vector variable is solved from a nonhomogeneous linear system obtained by reducing the number of eigen-equation one less,where one of the nonzero components of the eigenvector is normalized to the unit and moves the column containing that component to the right-hand side as a nonzero input vector.1D and 2D golden section search algorithms are employed to minimize the merit functions to locate real and complex eigenvalues.Simultaneously,the real and complex eigenvectors can be computed very accurately.A simpler approach to the nonlinear eigenvalue problems is proposed,which implements a normalization condition for the uniqueness of the eigenvector into the eigenequation directly.The real eigenvalues can be computed by the fictitious time integration method(FTIM),which saves computational costs compared to the one-dimensional golden section search algorithm(1D GSSA).The simpler method is also combined with the Newton iterationmethod,which is convergent very fast.All the proposed methods are easily programmed to compute the eigenvalue and eigenvector with high accuracy and efficiency.

Identifying multidisciplinary problems from scientific publications based on a text generation method

Purpose:A text generation based multidisciplinary problem identification method is proposed,which does not rely on a large amount of data annotation.Design/methodology/approach:The proposed method first identifies the research objective types and disciplinary labels of papers using a text classification technique;second,it generates abstractive titles for each paper based on abstract and research objective types using a generative pre-trained language model;third,it extracts problem phrases from generated titles according to regular expression rules;fourth,it creates problem relation networks and identifies the same problems by exploiting a weighted community detection algorithm;finally,it identifies multidisciplinary problems based on the disciplinary labels of papers.Findings:Experiments in the“Carbon Peaking and Carbon Neutrality”field show that the proposed method can effectively identify multidisciplinary research problems.The disciplinary distribution of the identified problems is consistent with our understanding of multidisciplinary collaboration in the field.Research limitations:It is necessary to use the proposed method in other multidisciplinary fields to validate its effectiveness.Practical implications:Multidisciplinary problem identification helps to gather multidisciplinary forces to solve complex real-world problems for the governments,fund valuable multidisciplinary problems for research management authorities,and borrow ideas from other disciplines for researchers.Originality/value:This approach proposes a novel multidisciplinary problem identification method based on text generation,which identifies multidisciplinary problems based on generative abstractive titles of papers without data annotation required by standard sequence labeling techniques.

Optimal Shape Factor and Fictitious Radius in the MQ-RBF:Solving Ill-Posed Laplacian Problems

To solve the Laplacian problems,we adopt a meshless method with the multiquadric radial basis function(MQRBF)as a basis whose center is distributed inside a circle with a fictitious radius.A maximal projection technique is developed to identify the optimal shape factor and fictitious radius by minimizing a merit function.A sample function is interpolated by theMQ-RBF to provide a trial coefficient vector to compute the merit function.We can quickly determine the optimal values of the parameters within a preferred rage using the golden section search algorithm.The novel method provides the optimal values of parameters and,hence,an optimal MQ-RBF;the performance of the method is validated in numerical examples.Moreover,nonharmonic problems are transformed to the Poisson equation endowed with a homogeneous boundary condition;this can overcome the problem of these problems being ill-posed.The optimal MQ-RBF is extremely accurate.We further propose a novel optimal polynomial method to solve the nonharmonic problems,which achieves high precision up to an order of 10^(−11).

Effects of psychological nursing in Parkinson's related depression patients undergoing functional magnetic resonance imaging:A randomized controlled trial

BACKGROUND Patients with Parkinson’s disease(PD)often experience depression,and some may require magnetic resonance imaging(MRI)for diagnosis,which can lead to MRI failure due to claustrophobia.AIM To explore the value of psychological interventions in successfully completing functional MRI scans of the brain for PD-related depression.METHODS Ninety-six patients with PD were randomly divided into two groups.The control group(47 patients)received general care,and the experimental group(49 patients)received general care combined with psychological care.The Unified Parkinson's Disease Assessment Scale(UPDRS),Hamilton Depression Scale(HAMD),and Geriatric Depression Scale(GDS)-15 scores,heart rate,systolic blood pressure,and MRI-Anxiety Questionnaire(MRI-AQ)scores before and after the scan were recorded.The completion rate of magnetic resonance(MR)scanning,scanning duration,and image quality scores were recorded.RESULTS Before scanning,no statistically significant difference was observed between the two groups in terms of heart rate,systolic blood pressure,and UPDRS,HAMD,GDS-15,and MRI-AQ scores.After scanning,systolic blood pressure,MRI-AQ score,and scan time in the experimental group were significantly lower than those in the control group,whereas the scan completion rate and image quality score were significantly higher than those in the control group.CONCLUSION Psychological nursing interventions are helpful in alleviating PD-related depression and assessing MR depression scores and may be helpful in the successful completion of functional MRI scans of the patient's brain.

Oscillation properties of eigenfunctions for Sturm-Liouville problems with interface conditions via Prufer transformation

A class of Sturm-Liouville problems with discontinuity is studied in this paper.The oscillation properties of eigenfunctions for Sturm-Liouville problems with interface conditions are obtained.The main method used in this paper is based on Prufer transformation,which is different from the classical ones.Moreover,we give two examples to verify our main results.

Problematic Use of Video Games in Schools in Northern Benin (2023)

Objective: To study the problematic use of video games among secondary school students in the city of Parakou in 2023. Methods: Descriptive cross-sectional study conducted in the commune of Parakou from December 2022 to July 2023. The study population consisted of students regularly enrolled in public and private secondary schools in the city of Parakou for the 2022-2023 academic year. A two-stage non-proportional stratified sampling technique combined with simple random sampling was adopted. The Problem Video Game Playing (PVP) scale was used to assess problem gambling in the study population, while anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS). Results: A total of 1030 students were included. The mean age of the pupils surveyed was 15.06 ± 2.68 years, with extremes of 10 and 28 years. The [13 - 18] age group was the most represented, with a proportion of 59.6% (614) in the general population. Females predominated, at 52.8% (544), with a sex ratio of 0.89. The prevalence of problematic video game use was 24.9%, measured using the Video Game Playing scale. Associated factors were male gender (p = 0.005), pocket money under 10,000 cfa (p = 0.001) and between 20,000 - 90,000 cfa (p = 0.030), addictive family behavior (p < 0.001), monogamous family (p = 0.023), good relationship with father (p = 0.020), organization of video game competitions (p = 0.001) and definite anxiety (p Conclusion: Substance-free addiction is struggling to attract the attention it deserves, as it did in its infancy everywhere else. This study complements existing data and serves as a reminder of the need to focus on this group of addictions, whose problematic use of video games remains the most frequent due to its accessibility and social tolerance. Preventive action combined with curative measures remains the most effective means of combating the problem at national level.

Association of preschool children behavior and emotional problems with the parenting behavior of both parents

BACKGROUND Parental behaviors are key in shaping children’s psychological and behavioral development,crucial for early identification and prevention of mental health issues,reducing psychological trauma in childhood.AIM To investigate the relationship between parenting behaviors and behavioral and emotional issues in preschool children.METHODS From October 2017 to May 2018,7 kindergartens in Ma’anshan City were selected to conduct a parent self-filled questionnaire-Health Development Survey of Preschool Children.Children’s Strength and Difficulties Questionnaire(Parent Version)was applied to measures the children’s behavioral and emotional performance.Parenting behavior was evaluated using the Parental Behavior Inventory.Binomial logistic regression model was used to analyze the association between the detection rate of preschool children’s behavior and emotional problems and their parenting behaviors.RESULTS High level of parental support/participation was negatively correlated with conduct problems,abnormal hyperactivity,abnormal total difficulty scores and abnormal prosocial behavior problems.High level of maternal support/participation was negatively correlated with abnormal emotional symptoms and abnormal peer interaction in children.High level of parental hostility/coercion was positively correlated with abnormal emotional symptoms,abnormal conduct problems,abnormal hyperactivity,abnormal peer interaction,and abnormal total difficulty scores in children(all P<0.05).Moreover,paternal parenting behaviors had similarly effects on behavior and emotional problems of preschool children compared with maternal parenting behaviors(all P>0.05),after calculating ratio of odds ratio values.CONCLUSION Our study found that parenting behaviors are associated with behavioral and emotional issues in preschool children.Overall,the more supportive or involved the parents are,the fewer behavioral and emotional problems the children experience;conversely,the more hostile or controlling the parents are,the more behavioral and emotional problems the children face.Moreover,the impact of fathers’parenting behaviors on preschool children’s behavior and emotions is no less significant than that of mothers’parenting behaviors.

Unlocking the power of physical activity in easing psychological distress

The severity of the current global mental health situation and the importance of maintaining psychological well-being call for more powerful,convenient,and efficient solutions for addressing psychological issues and relieving mental stress.Physical activity not only effectively improves physical fitness and reduces negative emotions such as anxiety and depression but also increases the improvement of psychological health and sense of well-being.At the same time,physical activity interventions for mental health have unique advantages,including reducing the side effects of psychological interventions and increasing necessity,convenience,and cost-effectiveness,as well as flexible adaptability across multiple methods,groups,and age ranges,providing stronger support for relieving psychological stress and addressing psychological issues.Although physical activity is an important intervention measure in relieving psychological stress,its value and role in mental health care seem to have not yet received sufficient attention,and its potential remains to be further revealed.Given the significant advantages and effectiveness of physical activity in mental health intervention practices,it is necessary to stimulate its potential in relieving psychological stress through various means in future studies to better safeguard the public’s physical and mental health.Developing guidelines for physical activity for improved mental health,enhancing organic integration with other intervention measures,and providing necessary respect,encouragement,and support are important directions to consider.

Quafu-Qcover:Explore combinatorial optimization problems on cloud-based quantum computers

We introduce Quafu-Qcover,an open-source cloud-based software package developed for solving combinatorial optimization problems using quantum simulators and hardware backends.Quafu-Qcover provides a standardized and comprehensive workflow that utilizes the quantum approximate optimization algorithm(QAOA).It facilitates the automatic conversion of the original problem into a quadratic unconstrained binary optimization(QUBO)model and its corresponding Ising model,which can be subsequently transformed into a weight graph.The core of Qcover relies on a graph decomposition-based classical algorithm,which efficiently derives the optimal parameters for the shallow QAOA circuit.Quafu-Qcover incorporates a dedicated compiler capable of translating QAOA circuits into physical quantum circuits that can be executed on Quafu cloud quantum computers.Compared to a general-purpose compiler,our compiler demonstrates the ability to generate shorter circuit depths,while also exhibiting superior speed performance.Additionally,the Qcover compiler has the capability to dynamically create a library of qubits coupling substructures in real-time,utilizing the most recent calibration data from the superconducting quantum devices.This ensures that computational tasks can be assigned to connected physical qubits with the highest fidelity.The Quafu-Qcover allows us to retrieve quantum computing sampling results using a task ID at any time,enabling asynchronous processing.Moreover,it incorporates modules for results preprocessing and visualization,facilitating an intuitive display of solutions for combinatorial optimization problems.We hope that Quafu-Qcover can serve as an instructive illustration for how to explore application problems on the Quafu cloud quantum computers.

Citizens’Mental Health Issues and Psychological Trauma Experience due to a Crowd-Crush Disaster in Korea

This study evaluated the state of anxiety, depression, post-traumatic stress disorder, general mental health, and mental well-beingamong citizens after a crowd-crush disaster in Korea. Individuals who experienced the crowd crush had significantly higheranxiety, depression, and post-traumatic stress disorder (PTSD) scores than those who did not (p < 0.001). Additionally,people who avoided the disaster area had significantly higher depression and PTSD scores than those who did not avoid thearea (p < 0.001). Those who directly witnessed the Seoul Halloween crowd crush had a significant difference in PTSD levels ineither group than those who experienced it indirectly (p = 0.005). There was a significant difference in PTSD scores in cases ofdirect damage or death of an acquaintance (p < 0.001). The Seoul Halloween crowd crush caused psychological damagethrough indiscriminate exposure to the public, and symptoms of PTSD appeared over a long period. It is crucial to provideessential resources for ongoing treatment and case management.

Effect of a systemic intervention combined with a psychological intervention in stroke patients with oropharyngeal dysfunction

BACKGROUND Stroke frequently results in oropharyngeal dysfunction(OD),leading to difficulties in swallowing and eating,as well as triggering negative emotions,malnutrition,and aspiration pneumonia,which can be detrimental to patients.However,routine nursing interventions often fail to address these issues adequately.Systemic and psychological interventions can improve dysphagia symptoms,relieve negative emotions,and improve quality of life.However,there are few clinical reports of systemic interventions combined with psychological interventions for stroke patients with OD.AIM To explore the effects of combining systemic and psychological interventions in stroke patients with OD.METHODS This retrospective study included 90 stroke patients with OD,admitted to the Second Affiliated Hospital of Qiqihar Medical College(January 2022–December 2023),who were divided into two groups:regular and coalition.Swallowing function grading(using a water swallow test),swallowing function[using the standardized swallowing assessment(SSA)],negative emotions[using the selfrating anxiety scale(SAS)and self-rating depression scale(SDS)],and quality of life(SWAL-QOL)were compared between groups before and after the intervention;aspiration pneumonia incidence was recorded.RESULTS Post-intervention,the coalition group had a greater number of patients with grade 1 swallowing function compared to the regular group,while the number of patients with grade 5 swallowing function was lower than that in the regular group(P<0.05).Post-intervention,the SSA,SAS,and SDS scores of both groups decreased,with a more significant decrease observed in the coalition group(P<0.05).Additionally,the total SWAL-QOL score in both groups increased,with a more significant increase observed in the coalition group(P<0.05).During the intervention period,the total incidence of aspiration and aspiration pneumonia in the coalition group was lower than that in the control group(4.44%vs 20.00%;P<0.05).CONCLUSION Systemic intervention combined with psychological intervention can improve dysphagia symptoms,alleviate negative emotions,enhance quality of life,and reduce the incidence of aspiration pneumonia in patients with OD.

An Immune-Inspired Approach with Interval Allocation in Solving Multimodal Multi-Objective Optimization Problems with Local Pareto Sets

In practical engineering,multi-objective optimization often encounters situations where multiple Pareto sets(PS)in the decision space correspond to the same Pareto front(PF)in the objective space,known as Multi-Modal Multi-Objective Optimization Problems(MMOP).Locating multiple equivalent global PSs poses a significant challenge in real-world applications,especially considering the existence of local PSs.Effectively identifying and locating both global and local PSs is a major challenge.To tackle this issue,we introduce an immune-inspired reproduction strategy designed to produce more offspring in less crowded,promising regions and regulate the number of offspring in areas that have been thoroughly explored.This approach achieves a balanced trade-off between exploration and exploitation.Furthermore,we present an interval allocation strategy that adaptively assigns fitness levels to each antibody.This strategy ensures a broader survival margin for solutions in their initial stages and progressively amplifies the differences in individual fitness values as the population matures,thus fostering better population convergence.Additionally,we incorporate a multi-population mechanism that precisely manages each subpopulation through the interval allocation strategy,ensuring the preservation of both global and local PSs.Experimental results on 21 test problems,encompassing both global and local PSs,are compared with eight state-of-the-art multimodal multi-objective optimization algorithms.The results demonstrate the effectiveness of our proposed algorithm in simultaneously identifying global Pareto sets and locally high-quality PSs.