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  1. Fulltext Perception of content and non-content expert facilitators of PBL according to students' performance levels
    Ismail NA, Alias E, Arifin KT, Damanhuri MH, Karim NA, Aan GJ
    Pak J Med Sci, 2015 Nov-Dec;31(6):1537-41.
    PMID: 26870131 DOI: 10.12669/pjms.316.8691
    Problem-based learning (PBL) is a student-centred learning system that involves multidisciplinary fields focused on problem solving. Facilitators of PBL are not necessarily content experts but little is known on how this concept has affected the outcomes of PBL sessions in learning Medical Biochemistry. We aimed to evaluate the impact of having the content expert as a facilitator in conducting PBL.
    Matched MeSH terms: Problem Solving
  2. Pairing as an instructional strategy to promote soft skills amongst clinical dental students
    Abu Kasim NH, Abu Kassim NL, Razak AA, Abdullah H, Bindal P, Che' Abdul Aziz ZA, et al.
    Eur J Dent Educ, 2014 Feb;18(1):51-7.
    PMID: 24423176 DOI: 10.1111/eje.12058
    Training dentists today is challenging as they are expected to provide a wide range of dental care. In the provision of good dental care, soft skills are equally important as clinical skills. Therefore in dental education the development of soft skills are of prime concern. This study sought to identify the development of soft skills when dental students are paired in their clinical training. In this perception study, four open-ended items were used to elicit students' feedback on the appropriateness of using clinical pairing as an instructional strategy to promote soft skills. The most frequently cited soft skills were teamwork (70%) and communication (25%) skills. However, both negative and positive behaviours were reported. As for critical thinking and problem solving skills, more positive behaviours were reported for abilities such as to explain, analyze, find ideas and alternative solutions, and make decisions. Leadership among peers was not evident as leading without legitimate authority could be a hindrance to its development. If clinical pairing is to be used as an effective instructional strategy to promote soft skills amongst students, clear guidelines need to be developed to prepare students to work in a dental team and the use of appropriate assessment tools can facilitate the development of these soft skills.
    Matched MeSH terms: Problem Solving
  3. Fulltext In-service training and teaching resource proficiency amongst Chemistry teachers: the mediating role of teacher collaboration
    Copriady J, Zulnaidi H, Alimin M, Albeta SW
    Heliyon, 2021 May;7(5):e06995.
    PMID: 34027189 DOI: 10.1016/j.heliyon.2021.e06995
    This study aims to determine the level of collaboration, in-service training and teaching resource proficiency amongst Chemistry teachers by investigating the intermediary role of collaboration for training and teaching resources competency. A total of 184 Chemistry teachers in Riau, Indonesia, have participated in the survey. Using AMOS and SPSS 25.0 software to analyse the research data, we find a high level of collaboration, training and teaching resource proficiency amongst Chemistry teachers. Male teachers have higher proficiency level on all aspects than female teachers. The MANOVA test results show a significant difference in teacher resource competency based on gender. Male teachers are significantly more proficient than their female counterparts. However, they do not significantly differ in terms of collaboration and in-service training. The structural equation modelling test results show that collaboration has a significant role in Chemistry teachers' involvement in training and teaching resources. These research findings encourage relevant parties to design effective collaborations amongst Chemistry teachers. They also offer new insights for Chemistry teachers to keep on mastering teaching resources nationally and internationally.
    Matched MeSH terms: Problem Solving
  4. Fulltext TRIZ or DFMA Combined With QFD as Product Design Methodology: A Review
    Rosnani Ginting, Amir Yazid Ali
    Pertanika Journal of Science & Technology, 2016;24(1):1-25.
    MyJurnal
    Quality Function Deployment (QFD) is a structured methodology that uses customer and technical
    requirements for designers and manufacturers to provide better products. Many researchers combine or
    integrate the technique of QFD with other methodologies such as Theory Inventive of Problem Solving
    (TRIZ) or Design for Manufacture and Assembly (DFMA) to optimise product design innovation and
    improvement. The combined methodologies are even used to solve process problems. Initial literature
    review of the application of stand-alone QFD poised several problems. Combining QFD with other
    techniques, such as TRIZ and DFMA, has helped to address these issues and forms the basis of future
    research. The integrated methods can solve main contradictory problems more precisely from product
    demand analysis to product design, production and application. Review work of the literature, specifically
    that on research and development of QFD, TRIZ and DFMA, showed that the said methodologies have
    been widely and successfully implemented in several practical applications such as resolving conflicts
    between customer and technical/engineering requirements and reducing production cost. This review work
    provides an in-depth analysis of identifying and finding issues of strengths, weaknesses and outcomes
    of the QFD when combined with TRIZ and also of QFD integrated with DFMA.
    Matched MeSH terms: Problem Solving
  5. Fulltext Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
    Emambocus BAS, Jasser MB, Mustapha A, Amphawan A
    Sensors (Basel), 2021 Nov 13;21(22).
    PMID: 34833621 DOI: 10.3390/s21227542
    Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dragonflies, and it has been found to have a higher performance in comparison to other swarm intelligence and evolutionary algorithms in numerous applications. There are only a few surveys about the dragonfly algorithm, and we have found that they are limited in certain aspects. Hence, in this paper, we present a more comprehensive survey about DA, its applications in various domains, and its performance as compared to other swarm intelligence algorithms. We also analyze the hybrids of DA, the methods they employ to enhance the original DA, their performance as compared to the original DA, and their limitations. Moreover, we categorize the hybrids of DA according to the type of problem that they have been applied to, their objectives, and the methods that they utilize.
    Matched MeSH terms: Problem Solving
  6. Fulltext Cube polygon: a new modified Euler method to improve electric circuit efficiency
    Nurhafizah Moziyana Mohd Yusop, Nooraida Samsudin, Nooraida Samsudin, Anis Shahida Mokhta, Siti Rohaidah Ahmad, Mohd Fahmi Mohammad Amran, et al.
    ZULFAQAR International Journal of Defence Science, Engineering & Technology, 2020;3(1):8-14.
    MyJurnal
    Euler method is a numerical order process for solving problems with the Ordinary Differential Equation (ODE). It is a fast and easy way. While Euler offers a simple procedure for solving ODEs, problems such as complexity, processing time and accuracy have driven others to use more sophisticated methods. Improvements to the Euler method have attracted much attention resulting in numerous modified Euler methods. This paper proposes Cube Polygon, a modified Euler method with improved accuracy and complexity. In order to demonstrate the accuracy and easy implementation of the proposed method, several examples are presented. Cube Polygon’s performance was compared to Polygon’s scheme and evaluated against exact solutions using SCILAB. Results indicate that not only Cube Polygon has produced solutions that are close to identical solutions for small step sizes, but also for higher step sizes, thus generating more accurate results and decrease complexity. Also known in this paper is the general of the RL circuit due to the ODE problem.
    Matched MeSH terms: Problem Solving
  7. Fulltext Draft Genome Sequence of Clostridium perfringens Strain JJC, a Highly Efficient Hydrogen Producer Isolated from Landfill Leachate Sludge
    Wong YM, Juan JC, Gan HM, Austin CM
    Genome Announc, 2014;2(2).
    PMID: 24604637 DOI: 10.1128/genomeA.00064-14
    Clostridium perfringens strain JJC is an effective biohydrogen and biochemical producer that was isolated from landfill leachate sludge. Here, we present the assembly and annotation of its genome, which may provide further insights into the gene interactions involved in efficient biohydrogen production.
    Matched MeSH terms: Problem Solving
  8. Fulltext Drosophila melanogaster: Deciphering Alzheimer's Disease
    Tan FHP, Azzam G
    Malays J Med Sci, 2017 Mar;24(2):6-20.
    PMID: 28894399 MyJurnal DOI: 10.21315/mjms2017.24.2.2
    Alzheimer's disease (AD) is the most widespread neurodegenerative disorder worldwide. Its pathogenesis involves two hallmarks: aggregation of amyloid beta (Aβ) and occurrence of neurofibrillary tangles (NFTs). The mechanism behind the disease is still unknown. This has prompted the use of animal models to mirror the disease. The fruit fly, Drosophila melanogaster has garnered considerable attention as an organism to recapitulate human disorders. With the ability to monopolise a multitude of traditional and novel genetic tools, Drosophila is ideal for studying not only cellular aspects but also physiological and behavioural traits of human neurodegenerative diseases. Here, we discuss the use of the Drosophila model in understanding AD pathology and the insights gained in discovering drug therapies for AD.
    Matched MeSH terms: Problem Solving
  9. Fulltext Effects of ultrashort laser pulses on angular distributions of photoionization spectra
    Ooi CHR, Ho WL, Bandrauk AD
    Sci Rep, 2017 07 27;7(1):6739.
    PMID: 28751648 DOI: 10.1038/s41598-017-05915-8
    We study the photoelectron spectra by intense laser pulses with arbitrary time dependence and phase within the Keldysh framework. An efficient semianalytical approach using analytical transition matrix elements for hydrogenic atoms in any initial state enables efficient and accurate computation of the photoionization probability at any observation point without saddle point approximation, providing comprehensive three dimensional photoelectron angular distribution for linear and elliptical polarizations, that reveal the intricate features and provide insights on the photoionization characteristics such as angular dispersions, shift and splitting of photoelectron peaks from the tunneling or above threshold ionization(ATI) regime to non-adiabatic(intermediate) and multiphoton ionization(MPI) regimes. This facilitates the study of the effects of various laser pulse parameters on the photoelectron spectra and their angular distributions. The photoelectron peaks occur at multiples of 2ħω for linear polarization while  odd-ordered peaks are suppressed in the direction perpendicular to the electric field. Short pulses create splitting and angular dispersion where the peaks are strongly correlated to the angles. For MPI and elliptical polarization with shorter pulses the peaks split into doublets and the first peak vanishes. The carrier envelope phase(CEP) significantly affects the ATI spectra while the Stark effect shifts the spectra of intermediate regime to higher energies due to interference.
    Matched MeSH terms: Problem Solving
  10. Fulltext A Review on the Bioinformatics Tools for Neuroimaging
    Man MY, Ong MS, Mohamad MS, Deris S, Sulong G, Yunus J, et al.
    Malays J Med Sci, 2015 Dec;22(Spec Issue):9-19.
    PMID: 27006633 MyJurnal
    Neuroimaging is a new technique used to create images of the structure and function of the nervous system in the human brain. Currently, it is crucial in scientific fields. Neuroimaging data are becoming of more interest among the circle of neuroimaging experts. Therefore, it is necessary to develop a large amount of neuroimaging tools. This paper gives an overview of the tools that have been used to image the structure and function of the nervous system. This information can help developers, experts, and users gain insight and a better understanding of the neuroimaging tools available, enabling better decision making in choosing tools of particular research interest. Sources, links, and descriptions of the application of each tool are provided in this paper as well. Lastly, this paper presents the language implemented, system requirements, strengths, and weaknesses of the tools that have been widely used to image the structure and function of the nervous system.
    Matched MeSH terms: Problem Solving
  11. Fulltext Delay in treatment of primary malignant and aggressive musculoskeletal tumours
    Pan KL, Zolqarnain A, Chia YY
    Med J Malaysia, 2006 Feb;61 Suppl A:53-6.
    PMID: 17042231
    Patients with aggressive musculoskeletal tumours often arrive at specialised treatment centres late. Such a delay could mean disfavour for potentially curable or long-term disease-free outcome of limb preserving surgery. This study was undertaken to identify the underlying problem-related delay with a view to propose solution for solving it. We reviewed 30 patients to determine the periods of delay between onset of the first symptom and the definitive treatment. The delays were categorized as 'patient' delay, 'referral' delay and 'treatment' delay. There was 'patient' delay in 57% of patients (n=17), ranging from 1 to 18 months; 'referral' delay in 67% of patients (n=20) ranging from 1 to 19 months and 23% of patients (n=7) had treatment delay (average 23 days) at the treatment centre. The causes of late arrival are not solely patient-related but are multifactorial. Measures to minimize such delays include enhancing awareness only with high index of suspicion among primary care practitioners, creating a special lane specialized imaging studies and establishing a dedicated musculoskeletal tumour unit.
    Matched MeSH terms: Problem Solving
  12. Fulltext Sustaining Continuous Engagement in Value Co-creation Among Individuals in Universities Using Online Platforms: Role of Knowledge Self-Efficacy, Commitment and Perceived Benefits
    Al-Kumaim NH, Alhazmi AK, Ramayah T, Shabbir MS, Gazem NA
    Front Psychol, 2021;12:637808.
    PMID: 33643168 DOI: 10.3389/fpsyg.2021.637808
    Value Co-Creation (VCC) plays a major role in engaging knowledgeable individuals in a community via innovation, problem solving, and new service/product development. This study investigates the personal factors that influence individuals' engagement in value co-creation in Higher Education Institutions (HEIs) through the use of online platforms. Some higher education institutions have successfully established or used appropriate online platforms, such as online forums, web applications, and mobile applications to engage their community in ideation or crowdsourcing as a part of the value co-creation process. On the other hand, some HEIs have failed to engage their community in value co-creation activities, and even if they managed to engage some individuals in value co-creation once, they failed to sustain these individuals' engagement in value co-creation using online platforms. Using the Stimulus Organism Response (S-O-R) framework, this study examines the relationship between relevant personal factors (commitment and knowledge self-efficacy) and other motivational factors that provide perceived benefits with value co-creation engagement. Data was collected from 308 respondents at five Malaysian research universities. The software analysis tool Smart PLS is used for data analysis and validation. The results demonstrate that personal factors and perceived benefits as a motivational factor has a significant effect on individual engagement in value co-creation. However, the significance of these findings varies from one individual to another. The implications of these findings are discussed.
    Matched MeSH terms: Problem Solving
  13. Fulltext IUPS Physiology Education Workshop series in India: organizational mechanics, outcomes, and lessons
    Chandran DS, Muthukrishnan SP, Barman SM, Peltonen LM, Ghosh S, Sharma R, et al.
    Adv Physiol Educ, 2020 Dec 01;44(4):709-721.
    PMID: 33125254 DOI: 10.1152/advan.00128.2020
    Active learning promotes the capacity of problem solving and decision making among learners. Teachers who apply instructional processes toward active participation of learners help their students develop higher order thinking skills. Due to the recent paradigm shift toward adopting competency-based curricula in the education of healthcare professionals in India, there is an emergent need for physiology instructors to be trained in active-learning methodologies and to acquire abilities to promote these curriculum changes. To address these issues, a series of International Union of Physiological Sciences (IUPS) workshops on physiology education techniques in four apex centers in India was organized in November 2018 and November 2019. The "hands-on" workshops presented the methodologies of case-based learning, problem-based learning, and flipped classroom; the participants were teachers of basic sciences and human and veterinary medicine. The workshop series facilitated capacity building and creation of a national network of physiology instructors interested in promoting active-learning techniques. The workshops were followed by a brainstorming meeting held to assess the outcomes. The aim of this report is to provide a model for implementing a coordinated series of workshops to support national curriculum change and to identify the organizational elements essential for conducting an effective Physiology Education workshop. The essential elements include a highly motivated core organizing team, constant dialogue between core organizing and local organizing committees, a sufficient time frame for planning and execution of the event, and opportunities to engage students at host institutions in workshop activities.
    Matched MeSH terms: Problem Solving
  14. Fulltext Mental Health Conceptualization and Resilience Factors in the Kalasha Youth: An Indigenous Ethnic and Religious Minority Community in Pakistan
    Choudhry FR, Khan TM, Park MS, Golden KJ
    Front Public Health, 2018;6:187.
    PMID: 30065918 DOI: 10.3389/fpubh.2018.00187
    The Kalasha are a religious, ethnic, and linguistic minority community in Pakistan. They are indigenous people living in remote valleys of the Hindu Kush Mountains in northern Pakistan, neighboring Afghanistan. The Kalasha are pastoral, as well as agricultural people to some extent, although they are increasingly facing pressures from globalization and social change, which may be influencing youth and community development. Their traditional world view dichotomizes and emphasizes on the division of the pure (Onjeshta) and the impure (Pragata). There remains a scarcity of literature on mental health and resilience of indigenous communities in South Asia and Pakistan generally, and the polytheistic Kalasha community specifically. Thus, the current study was conducted with the aim to explore the cultural protective factors (resilience) of the Kalasha youth (adolescents and emerging adults) and to explore their perceived etiological understandings and preferred interventions for mental health support systems. The theoretical framework of Bronfenbrenner's (1, 2) ecological systems model was used. Interpretative Phenomenological Analysis (IPA) was conducted, considering the advantage of its idiographic approach and the "double hermeneutic" analytic process. This methodology was consistent with the aim to understand and make sense of mental health and resilience from the Kalasha indigenous perspective. A total of 12 in-depth interviews were conducted with adolescents and emerging adults (5 males, 7 females), along with ethnographic observations. The analysis revealed 3 superordinate themes of mental health perceptions and interventions, each with more specific emergent themes: (1) Psychological Resilience/Cultural Protective Factors Buffering Against Mental Health Problems (Intra-Communal Bonding & Sharing; Kalasha Festivals & Traditions; Purity Concept; Behavioral Practice of Happiness and Cognitive Patterns); (2) Perceived Causes of Mental Health Issues (Biological & Psychosocial; Supernatural & Spiritual; Environmental); and (3) Preferred Interventions [Shamanic Treatment; Ta'awiz (Amulets); Communal Sharing & Problem Solving; Medical Treatment; Herbal Methods]. The overall findings point to the need for developing culturally-sensitive and indigenous measures and therapeutic interventions. The findings highlighted the Kalasha cultural practices which may promote resilience. The findings also call for indigenous sources of knowledge to be considered when collaboratively designing public health programs.
    Matched MeSH terms: Problem Solving
  15. Fulltext Latent profiles of elite Malaysian athletes' use of psychological skills and techniques and relations with mental toughness
    Ponnusamy V, Lines RLJ, Zhang CQ, Gucciardi DF
    PeerJ, 2018;6:e4778.
    PMID: 29780672 DOI: 10.7717/peerj.4778
    Background: The majority of past work on athletes' use of psychological skills and techniques (PSTs) has adopted a variable-centered approach in which the statistical relations among study variables are averaged across a sample. However, variable-centered-analyses exclude the possibility that PSTs may be used in tandem or combined in different ways across practice and competition settings. With this empirical gap in mind, the purposes of this study were to identify the number and type of profiles of elite athletes' use of PSTs, and examine differences between these clusters in terms of their self-reported mental toughness.

    Methods: In this cross-sectional survey study, 285 Malaysian elite athletes (170 males, 115 females) aged 15-44 years (M = 18.89, SD = 4.49) completed measures of various PSTs and mental toughness. Latent profile analysis was employed to determine the type and number of profiles that best represent athletes' reports of their use of PSTs in practice and competition settings, and examine differences between these classes in terms of self-reported mental toughness.

    Results: Our results revealed three profiles (low, moderate, high use) in both practice and competition settings that were distinguished primarily according to quantitative differences in the absolute levels of reported use across most of the PSTs assessed in practice and competition settings, which in turn, were differentially related with mental toughness. Specifically, higher use of PSTs was associated with higher levels of mental toughness.

    Conclusion: This study provides one of the first analyses of the different configurations of athletes' use of PSTs that typify unique subgroups of performers. An important next step is to examine the longitudinal (in) stability of such classes and therefore provide insight into the temporal dynamics of different configurations of athletes' use of PSTs.

    Matched MeSH terms: Problem Solving
  16. Understanding pore formation and structural deformation in carbon spheres during KOH activation
    Mohammed Salisu Musa, Mohd Marsin Sanagi, Wan Aini Wan Ibrahim, Hadi Nur
    Sains Malaysiana, 2015;44:613-618.
    Carbon spheres (CSs) were synthesized from sucrose by hydrothermal reaction. The synthesized materials were further
    activated with potassium hydroxide (KOH) at different concentrations. The effects of KOH concentration on the surface area
    and morphology were investigated. The route for pore formation and structural deformation in carbon spheres during
    activation has been proposed and discussed based on micrographs and porosity trends. It was suggested that the pore
    formation and structural deformation phenomena were due to the intercalating power of energized K+ into the carbon.
    This work provides an insight of the pore formation in carbon spheres for the development of adsorbents as well as for
    the understanding of the structural deformation of such materials at higher KOH concentrations.
    Matched MeSH terms: Problem Solving
  17. Fulltext The role of similarity measurement in an agent-based supplier selection framework
    Alireza Jahani, Masrah Azrifah Azmi Murad, Md. Nasir Sulaiman, Hasan Selamat
    Pertanika Journal of Science & Technology, 2013;21(1):261-272.
    MyJurnal
    Similarity measurement is a critical component in any case-based reasoning (CBR) system. CBR is
    a superior technique for solving new problems based on previous experiences. Main assumption in
    CBR relies on the hypothesis that states similar problems should have similar solutions. This paper
    describes a comparative analysis on several commonly used similarity measures (Canberra, Clark, and Normalized Euclidean distance) in retrieving phase of the case-based reasoning approach to facilitate supplier selection. In addition, the proposed agent-based supplier selection framework was designed to use customer’s defined weights to evaluate the price, volume, quality grade, and delivery date of supply materials, and also provide them with alternative products which are closest to their first order if it was out of stock. Finally, based on the proposed framework, a numerical example of the used approach is illustrated.
    Matched MeSH terms: Problem Solving
  18. Fulltext Round Randomized Learning Vector Quantization for Brain Tumor Imaging
    Sheikh Abdullah SN, Bohani FA, Nayef BH, Sahran S, Al Akash O, Iqbal Hussain R, et al.
    Comput Math Methods Med, 2016;2016:8603609.
    PMID: 27516807 DOI: 10.1155/2016/8603609
    Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is amongst the potential. The main goal of this paper is to enhance the performance of LVQ technique in order to gain higher accuracy detection for brain tumor in MRIs. The classical way of selecting the winner code vector in LVQ is to measure the distance between the input vector and the codebook vectors using Euclidean distance function. In order to improve the winner selection technique, round off function is employed along with the Euclidean distance function. Moreover, in competitive learning classifiers, the fitting model is highly dependent on the class distribution. Therefore this paper proposed a multiresampling technique for which better class distribution can be achieved. This multiresampling is executed by using random selection via preclassification. The test data sample used are the brain tumor magnetic resonance images collected from Universiti Kebangsaan Malaysia Medical Center and UCI benchmark data sets. Comparative studies showed that the proposed methods with promising results are LVQ1, Multipass LVQ, Hierarchical LVQ, Multilayer Perceptron, and Radial Basis Function.
    Matched MeSH terms: Problem Solving
  19. Problem-solving skills and hardiness as protective factors against stress in Iranian nurses
    Abdollahi A, Talib MA, Yaacob SN, Ismail Z
    Issues Ment Health Nurs, 2014 Feb;35(2):100-7.
    PMID: 24502467 DOI: 10.3109/01612840.2013.843621
    Nursing is a stressful occupation, even when compared with other health professions; therefore, it is necessary to advance our knowledge about the protective factors that can help reduce stress among nurses. The present study sought to investigate the associations among problem-solving skills and hardiness with perceived stress in nurses. The participants, 252 nurses from six private hospitals in Tehran, completed the Personal Views Survey, the Perceived Stress Scale, and the Problem-Solving Inventory. Structural Equation Modeling (SEM) was used to analyse the data and answer the research hypotheses. As expected, greater hardiness was associated with low levels of perceived stress, and nurses low in perceived stress were more likely to be considered approachable, have a style that relied on their own sense of internal personal control, and demonstrate effective problem-solving confidence. These findings reinforce the importance of hardiness and problem-solving skills as protective factors against perceived stress among nurses, and could be important in training future nurses so that hardiness ability and problem-solving skills can be imparted, allowing nurses to have more ability to control their perceived stress.
    Matched MeSH terms: Problem Solving*
  20. Fulltext Problem-solving skills appraisal mediates hardiness and suicidal ideation among malaysian undergraduate students
    Abdollahi A, Talib MA, Yaacob SN, Ismail Z
    PLoS One, 2015;10(4):e0122222.
    PMID: 25830229 DOI: 10.1371/journal.pone.0122222
    Recent evidence suggests that suicidal ideation is increased among university students, it is essential to increase our knowledge concerning the etiology of suicidal ideation among university students. This study was conducted to examine the relationships between problem-solving skills appraisal, hardiness, and suicidal ideation among university students. In addition, this study was conducted to examine problem-solving skills appraisal (including the three components of problem-solving confidence, approach-avoidance style, and personal control of emotion) as a potential mediator between hardiness and suicidal ideation.
    Matched MeSH terms: Problem Solving*
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