Collection Methodology Research Articles

Aspects of Quality of Life: Single vs. Mated People.

Not having an intimate partner constitutes a common state in contemporary post-industrial societies. The current research aimed to address the question of whether single people score higher than mated people in various dimensions of quality of life. For this purpose, we employed quantitative research methods, measuring different aspects of quality of life that we treated as the dependent variables, with relationship status as the independent variable. In a sample of 1929 participants from Greece and Turkey, we found that relationship status was not significantly associated with physical health, relationships with friends and family, self-development, independence, recreation, or participation in social and communal activities. On the other hand, it was significantly associated with material goods, disposable income, social support, sexual satisfaction, and having children, with mated people scoring higher than single people. Despite using different methodologies for data collection, similar results were obtained in the two cultural contexts.

КОПІНГ-СТРАТЕГІЇ В КОНТЕКСТІ КРИЗОВОГО УПРАВЛІННЯ

The ongoing humanitarian crisis in Ukraine, intensified by the conflict that began in February 2022, has resulted in 14.7 million individuals requiring humanitarian aid by 2024. This crisis has led to significant socioeconomic challenges, with households adopting various coping strategies to manage economic stress. Understanding these strategies and their regional variations is crucial for effective crisis response and resource allocation. The purpose of the article. To analyze and present findings on the coping strategies adopted by Ukrainian households in response to the ongoing humanitarian crisis and conflict, with a particular focus on regional differences and the most severely affected areas. The object of the research. Household coping strategies across different regions of Ukraine, including selling assets, spending savings, purchasing food on credit, seeking additional employment, reducing health and education expenditures, and using degrading income sources. The methods of the research. The study employed a quantitative data collection methodology developed by REACH, utilizing both face-to-face household surveys and computer-assisted telephone interviews. The dataset encompassed 10,434 interviews conducted at the household level across 23 oblasts, targeting a 95% confidence level and an 8% margin of error. The hypothesis of the research. The research appears to hypothesize that there are significant regional variations in the adoption of coping strategies, with areas closer to the conflict zone experiencing more severe economic stress and resorting to more extreme coping measures. The statement of basic materials. The research identified ten distinct coping strategies and analyzed their adoption rates across different regions of Ukraine. Eastern and southern regions, particularly Donetska, Kharkivska, Zaporizka, Khersonska, and Sumska oblasts, consistently demonstrated higher adoption rates of various coping strategies. Donetska oblast emerged as the epicenter of economic stress, with 50% of households reporting the sale of assets or spending of savings. Zaporizka oblast led in purchasing food on credit (18.63%) and reducing health expenditures (55.28%). Significant regional disparities were observed, with some oblasts showing coping strategy adoption rates far exceeding national averages. The originality and practical significance of the research. This study provides a comprehensive, region-specific analysis of household coping strategies in Ukraine during an ongoing crisis, offering valuable insights for targeted interventions. The research's practical significance lies in its potential applications for socio-economic management, including informing the design of targeted social safety nets and economic support programs, guiding efficient resource allocation based on region-specific needs, and supporting the development of tailored healthcare and education policies. Conclusions and prospects for further research. It provides a baseline for monitoring and evaluating the effectiveness of future interventions and informs long-term regional development strategies and crisis response planning. By offering a nuanced understanding of how different regions are coping with the crisis, this research enables policymakers to develop more effective, localized approaches to addressing Ukraine's complex humanitarian challenges.

Simbolik Geometri Dalam Catan Sulaiman Esa Melalui Prinsip Seni Islam

This paper explains geometric motifs through Islamic aesthetic point of view in the painting Garden of Mystery VI (1992) by Sulaiman Esa. Islamic art prescribes the whole way of life and all the activities that humans carry out in syumul (complete togetherness), including in the study of art. Islamic art is one of the advances in the civilization of the Islamic world and geometry is among the three motifs of Islamic art that are highly praised by the world community apart from calligraphy and Arabes. Islam has established those religious aspects play an important role in determining the basis and foundation to produce an element in the arts. It can be identified in geometric motifs through shape, meaning and symbolism that tend to have the concept of ‘Shari'a’. The main purpose of the study was to identify the types of geometric motifs and patterns in the painting artwork Garden of Mystery VI (1992). Explore the relationship between formalistic aspects of Islamic art and aesthetics through the production of Sulaiman Esa's paintings. This study also aims to see the aesthetic value of Islam which involves the pronunciation of symmetry in the context of mathematical culture. The written and visual data collection methodology in this study uses a qualitative approach that involves the design of case studies based on fieldwork empirical data obtained. Methods of observation, documentation and visual recording were used for the collection of research information. The findings of the study show that geometric motifs are decorations in Islamic art that comply with Islamic law and have their own privileges. An understanding of the form, purpose, philosophy, concept and purpose of geometric design application should be applied in Islamic painting artwork to form Islamic images and identities. Once again guide Islamic painters to internalise, understand and try to stimulate painters to dignify the true motives of Islam.

Comprehensive treatment strategy for improving surgical resection rate of retroperitoneal sarcomas: a histology-specific approach narrative review.

Retroperitoneal sarcoma (RPS) represents a rare and heterogeneous group of malignancies, posing significant challenges in evaluation and management. Surgery, the cornerstone of RPS treatment, critically depends on complete resection for a favorable prognosis. The extent of resection is a crucial determinant of local control and survival. This review delves into the evolution of multidisciplinary management of localized RPS, highlighting the imperative to adapt surgical strategies to tumor histology, location, and patient functional status. We explore the principles of compartmental surgery-an extended first-line approach that involves resecting adjacent viscera for wide negative margins-and its effectiveness across different histological subtypes of RPS and more limited resections for other types. Particular emphasis is placed on the heterogeneity of the disease, as various histological subtypes exhibit distinct biological behaviors. This necessitates a shift away from a one-size-fits-all treatment approach. The review analyzes the role of different surgical strategies, focusing on histological type and location. Additionally, the potential benefits of (neo)adjuvant treatments, such as radiotherapy and chemotherapy, are examined, recognizing their specific histological indications and limitations. This comprehensive review consolidates recent data on surgical strategies and complementary therapies, advocating for a personalized approach tailored to histology. As understanding of the molecular and genetic underpinnings of RPS continues to evolve, so will strategies for its effective management, underscoring the need for global collaboration among specialists in this field to enhance our collective knowledge and treatment methodologies.

Indigenous knowledge for climate action at the Ekyisalhalha kya Karoro sacred site, adjacent to Rwenzori mountains national park in Kasese

PurposeThis case study examines the contribution of Indigenous knowledge (IK) and practices to climate action at Ekisalhalha kya Kororo sacred site, adjacent to Rwenzori Mountains National Park in the Kasese district of Western Uganda. This paper is intended to make a case for IK as an important component of climate change mitigation strategies especially if the knowledge is profiled and publicised. The paper presents aspects of traditional knowledge in terms of ceremonies, rituals, norms and customs that can be re-energised for climate change.Design/methodology/approachThe authors employed mainly a participatory and qualitative data collection methodology. The data were collected in Kasese district largely from the local government officials, cultural leaders, civil society actors and representatives of indigenous minority communities such as the Basongora. Data were collected from both primary and secondary sources, at the desk and through community interactions to collect various narratives based on IK. Primary data were collected during individual interviews, by administering a semi-structured questionnaire and holding focus group discussions with different stakeholders in Kasese, Uganda. The respondents were carefully identified and included cultural leaders, young people, local government authorities and representatives of civil society organisations responsible for implementing climate change mitigation strategies.FindingsClimate change effects are manifest in rising temperatures, flooding, desertification and other natural hazards. The Kasese district, in particular, has faced several climatic change catastrophes and there has been limited use or mainstreaming of the existing IK of the communities in the region in different climate action interventions. Amongst the key research findings was that IK can be utilised to address or mitigate climate change risks/hazards and provide valuable insights into climate adaptation strategies, including rain-water harvesting, weather forecasting and preparedness, and sustainable farming practices. In addition, it is easily accessible, especially in areas that modern science has not reached.Research limitations/implicationsFew elders with IK related to climate change mitigation and the disconnect between young people and IK bearers were limitations encountered during data collection.Originality/valueThe information in the article is an original compilation by the authors based on previous published work from the NetZero Heritage for Climate Action research project.

Making bloodwork work: the impact of sample collection, processing, and storage on plasma glutathione measurement, and implications for translation

Psychiatry has traditionally focused on the study of neurons and neurotransmitter physiology in the pathophysiology and treatment of psychiatric disorders. A growing literature highlights REDOX imbalance (a state in which demand for antioxidants surpasses their bioavailability) as a common pathophysiology for a diverse array of brain conditions (e.g., trichotillomania, schizophrenia, autism, Parkinson’s disease). REDOX imbalance is typically measured via plasma glutathione, as glutathione is critical to the adaptive antioxidant response in the brain. Accordingly, glutathione, its precursors, and/or metabolites serve as biomarkers of disease risk, therapeutic targets, and measures of treatment response. However, as with any emerging field, there are currently several different methods for collection, processing, storage, and calculation of summary measures of plasma glutathione metabolism, within and between preclinical and clinical research. The lack of evidence-based best-practice methodology hampers reproducibility (preclinical or clinical), and translation (between preclinical and clinical work). To address this methodological need, here we used a repeated measures within-subject design to investigate how sample preparation (type of anticoagulant used during blood collection, deproteinization status, and storage temperature) affects plasma glutathione levels. Accordingly, we collected whole blood from mice (N = 13), and then, using a commercially available kit, quantified glutathione in plasma stored in four different ways. Presuming that these preparation conditions and post-processing calculations are unimportant, we would expect to see no difference in glutathione levels and summary measures from the same sample. However, we found each of these variables to significantly alter quantified glutathione levels. Accordingly, we propose a vital, gold-standard methodology for both sample collection, processing, and storage of plasma used for glutathione quantification and for summary calculations of glutathione that can be used preclinically and clinically, thus yielding more streamlined translation.

Efficient End-to-End Convolutional Architecture for Point-of-Gaze Estimation.

Point-of-gaze estimation is part of a larger set of tasks aimed at improving user experience, providing business insights, or facilitating interactions with different devices. There has been a growing interest in this task, particularly due to the need for upgrades in e-meeting platforms during the pandemic when on-site activities were no longer possible for educational institutions, corporations, and other organizations. Current research advancements are focusing on more complex methodologies for data collection and task implementation, creating a gap that we intend to address with our contributions. Thus, we introduce a methodology for data acquisition that shows promise due to its nonrestrictive and straightforward nature, notably increasing the yield of collected data without compromising diversity or quality. Additionally, we present a novel and efficient convolutional neural network specifically tailored for calibration-free point-of-gaze estimation that outperforms current state-of-the-art methods on the MPIIFaceGaze dataset by a substantial margin, and sets a strong baseline on our own data.

Indigenous Practices for Achieving Sustainable Construction

The objective of the present research is to explore the concept of sustainability in construction by examining indigenous construction practices followed in various regions of India, in line with the Sustainable Development Goals (SDGs) that promote safe, resilient, and environmentally friendly human settlements. This study aims to investigate indigenous construction practices that have been used for generations and assess their applicability in the present context. Through the collection of qualitative data from participants, the study seeks to develop a theoretical model of sustainable construction that incorporates region-specific indigenous practices. As Constructivist Grounded Theory (CGT) lends itself useful for such theory development, we have used it as the methodology for data collection, analysis and model development. CGT enables in-depth inductive analysis of qualitative data. Data have been gathered through interviews and conversations as primary sources, supplemented by secondary sources. The study primarily focuses on key parameters such as construction materials and techniques, labour, economic considerations, and region-specific indigenous practices related to sustainable construction. This study develops a theoretical model that integrates indigenous practices with contemporary practices, and thus endeavours to bridge the past and present, offering a blend of traditional wisdom and contemporary relevance. It aims to inspire customers, architects, and engineers to reconnect with their cultural heritage and embrace local knowledge in construction practices, which have demonstrated sustainability over thousands of years. Findings from the study pave the way for better environmental management through sustainable indigenous construction practices.

Pervasive impacts of railway edge effects on edaphic parameters and vegetation distribution patterns

Addressing the ecological impacts of transport corridors while planning any transport network is paramount for a better of understanding ecological processes, biodiversity distribution, and ecosystem resilience. Here, we evaluated the impacts of railway edges on edaphic parameters, plant diversity, and composition in the northwestern Himalaya as a function of perpendicular distance from the railway track. In 2014 and 2017, we sampled vegetation plots across 31 sites distributed along 119 km of the Kashmir railway to test the effect of railway tracks on edaphic and vegetative parameters in short-term periods. T-shaped plots were laid comprising four sub-plots, one parallel to the track and the other three perpendiculars to it. We adopted the Mountain Invasion Research Network road survey methodology for data collection. We found (i) an increasing trend in all soil parameters (electrical conductivity, salinity, organic carbon, available nitrogen, and available phosphorus), except pH, as the distance from the railway track increased; (ii) significant railway edge effects on the importance value index of plant growth forms, life span, nativity and taxonomic group across space (distance of plots from the track) and time (2014–2017); and (iii) a significant spatiotemporal railway edge effects on plant species composition. Our results are pioneering in showing that railway tracks crossing through different ecosystems alter the edaphic conditions, resulting in direct and indirect edge effects on key abiotic and biotic factors, which in turn impact the vegetation of the surrounding natural habitats on both sides of the railway track. Our study contributes toward a better understanding of the role of anthropogenic edges like railways on edaphic parameters and vegetation distribution.

Fine-scale monitoring of catkins reveals an association between catkin concentration and plant community characteristics and microclimate

Catkins, as a significant source of plant-caused pollution, disrupts daily human activities and industrial processes. Despite their impact, catkins have not been included in official environmental quality monitoring indicators, leading to a deficiency in scientifically rigorous collection and monitoring methodologies, as well as a lack of ecological prevention and management strategies. In this study, we introduced a fine-scale monitoring approach for catkins. Qualitative and quantitative relationships between catkin concentrations, plant community characteristics and microclimate factors were elucidated by analyzing on-site catkin concentration data from 33 representative plant communities in Beijing. Furthermore, we summarized the ecological strategies for the prevention and management of these catkins. The results indicated that (1) TS (three-dimensional green volume of trees in the catkin source layer), SB (three-dimensional green volume of shrubs in the catkin barrier layer), GB (three-dimensional green volume of ground cover plants in the catkin barrier layer), T (three-dimensional green volume of trees in the whole plant community), W (three-dimensional green volume of the whole plant community), species diversity, and relative air humidity were key plant community characteristics and microclimate factors influencing catkin concentration. Among these factors, TS, T, W, and relative air humidity showed a significant positive correlation with catkin concentration, while SB, GB, and species diversity exhibited a significant negative correlation with catkin concentration. (2) All seven key factors exhibited nonlinear relationships with catkin concentration. (3) TS served as the primary deciding factor for catkin concentration within the plant community. When TS > 744.0755 m3, the secondary decision factor for catkin concentration was GB. Otherwise, the determinants were SB and species diversity. The results showed that enhancing tree species diversity, enhancing the three-dimensional green volume of shrubs and ground cover plants, and increasing air humidity were practical means to facilitate the sedimentation of catkins. The measures used to obstruct catkins vary depending on the TS. When catkin source plants are abundant within a plant community, it is advisable to prioritize increasing ground cover plants. Conversely, when fewer sources of such plants exist, emphasis can be placed on augmenting mid-layer shrubs and diversifying plant species. These findings provide a scientific foundation for the planting design and stock optimization of communities containing catkin source plants.

Adolescents in transition: experiences and appraisals of immigrant students in school education

ABSTRACT Compulsory secondary education is constituted as a stage of high risk or academic vulnerability for the immigrant population. This multiple case study examines difficulties and opportunities faced by seventeen immigrant schoolchildren in compulsory schooling education cycles as elucidated by the evaluative resources they employ as they construct a narrative discourse shaped by academic-professional transitions and expectations. Specifically, we focus on the semantic-discursive component of attitude, analysing its three levels of appraisal: affect, judgement, and appreciation. We conducted in-depth interviews with immigrants attending public high school in Chile and a collective participatory methodology, both of a biographical-narrative nature. The findings highlight the influence of various influential factors on student trajectories: the characteristics of the host country, the challenges posed by the pandemic, family support, racism, the role of teachers, and academic-professional aspirations. Regarding the obstacles, racist bullying is identified between the end of primary school and the beginning of secondary school, which coincides with the results of the literature reviewed. Regarding opportunities, the influential adult figure represented by parents and teachers is positioned as a decisive protective support in the development and progress of educational transitions. Similarly, the configuration of high academic-professional expectations functions as a predictor of educational success.

Integrating the SDGs into the agenda of an Argentine university

PurposeThe purpose of this study is to explore the incorporation of the sustainable development goals (SDGs) at the National University of Moreno (Universidad Nacional de Moreno, UNM, in Spanish), focusing on teaching and research activities, encountering difficulties from primary and secondary information sources, to integrate the SDGs, and contribute with actions for their incorporation into teaching and learning processes and research, in a newly established university.Design/methodology/approachTo describe the implementation of the SDGs, an empirical study was conducted using a mixed methodology for data collection. Data collected from the survey were combined with information from the UNM project database for the period 2017–2022. Non-parametric methods were used to analyse both sets of data.FindingsThis study provides an initial overview of SDG implementation at UNM, allowing the identification of constraints and challenges to scale up contributions to the SDGs at UNM, as well as the generation of relevant action lines in the interaction with university's authorities.Research limitations/implicationsConducting studies through questionnaires has limitations, similar to other cases analysed. To increase the validity of the data, prior consultations were carried out. In addition, the database of research projects was used to identify the application of the SDGs in research. However, an approximation of the current situation could be obtained.Practical implicationsParticular importance was given to the challenges encountered during the data analysis phase in relation to capacity building needs. This enabled a set of actions to be defined to bring the SDGs closer to the UNM.Originality/valueAlthough the paper used methodologies already proposed by other authors, such as survey collection, its value lies in demonstrating the possibility of using them to analyse whether the SDGs are integrated into teaching and research activities in a recently founded university, where the SDGs are integrated into its principles. The analysis also complements the survey results with information from project databases, which has not yet been analysed in the literature. Based on the results, activities are designed so that the SDGs could begin to guide teaching and research activities.

MEASURING CAREER EXPECTATIONS OF GENERATION Z: KARABUK UNIVERSITY EXAMPLE

This study aims to ascertain the career expectations of Generation Z. To achieve this objective, it analyzes the concepts and characteristics of Traditionalists, Baby Boomers, Generation X, Generation Y, and Generation Z, with the underlying reasons for their distinctions. The research comprises 551 male and 253 female students currently enrolled at Karabük University in Türkiye. This study utilizes a descriptive research model, employing online survey forms as the primary data collection methodology. The gathered data analysis was done using t-tests and ANOVA statistical measurements. After a thorough evaluation, the findings revealed significant differences in the responses between participants from Generation Z and Generation X. While the majority of the respondents expressed confidence in possessing adequate knowledge about their future job prospects and expectations, most respondents expressed the need for assistance with career services. Therefore, the findings recommend that employers should be prepared to address the unique needs and work styles of Gen Z.

The 4Rs: A collective reflexive methodology for realising critical self‐transformation in ICT4D research practice

The <scp>4Rs</scp>: A collective reflexive methodology for realising critical self‐transformation in <scp>ICT4D</scp> research practice

Training set optimization is a feasible alternative for perennial orphan crop domestication and germplasm management: an Acrocomia aculeata example.

Orphan perennial native species are gaining importance as sustainability in agriculture becomes crucial to mitigate climate change. Nevertheless, issues related to the undomesticated status and lack of improved germplasm impede the evolution of formal agricultural initiatives. Acrocomia aculeata - a neotropical palm with potential for oil production - is an example. Breeding efforts can aid the species to reach its full potential and increase market competitiveness. Here, we present genomic information and training set optimization as alternatives to boost orphan perennial native species breeding using Acrocomia aculeata as an example. Furthermore, we compared three SNP calling methods and, for the first time, presented the prediction accuracies of three yield-related traits. We collected data for two years from 201 wild individuals. These trees were genotyped, and three references were used for SNP calling: the oil palm genome, de novo sequencing, and the A. aculeata transcriptome. The traits analyzed were fruit dry mass (FDM), pulp dry mass (PDM), and pulp oil content (OC). We compared the predictive ability of GBLUP and BayesB models in cross- and real validation procedures. Afterwards, we tested several optimization criteria regarding consistency and the ability to provide the optimized training set that yielded less risk in both targeted and untargeted scenarios. Using the oil palm genome as a reference and GBLUP models had better results for the genomic prediction of FDM, OC, and PDM (prediction accuracies of 0.46, 0.45, and 0.39, respectively). Using the criteria PEV, r-score and core collection methodology provides risk-averse decisions. Training set optimization is an alternative to improve decision-making while leveraging genomic information as a cost-saving tool to accelerate plant domestication and breeding. The optimized training set can be used as a reference for the characterization of native species populations, aiding in decisions involving germplasm collection and construction of breeding populations.

Events as a Strategy to Enhance Destination’s Brand: Millennium Estoril Open Case Study

This research, based on a case study, aims to examine the contributions of the Millennium Estoril Open, a tennis event (ATP 250), to enhance and promote the Cascais destination brand. To such end, an empirical study was conducted in the 2019 edition, using a mixed data collection methodology through the application of questionnaires to spectators, interviews with stakeholders, and direct observation at the event. Results suggest that this event contributes to enhancing the destination brand, despite the identification of some limitations. The contribution of this sport event to the enhancement of the destination’s image cannot be dissociated from the portfolio of events promoted by the region and from its consistency and regularity.

Three-dimensional conservation planning of fish biodiversity metrics to achieve the deep-sea 30×30 conservation target.

Accelerating rate of human impact and environmental change severely affects marine biodiversity and increases the urgency to implement the Convention on Biological Diversity (CBD) 30×30 plan for conserving 30% of sea areas by 2030. However, area-based conservation targets are complex to identify in a 3-dimensional (3D) ocean where deep-sea features such as seamounts have been seldom studied mostly due to challenging methodologies to implement at great depths. Yet, the use of emerging technologies, such as environmental DNA combined with modern modeling frameworks, could help address the problem. We collected environmental DNA, echosounder acoustic, and video data at 15 seamounts and deep island slopes across the Coral Sea. We modeled 7 fish community metrics and the abundances of 45 individual species and molecular operational taxonomic units (MOTUs) in benthic and pelagic waters (down to 600-m deep) with boosted regression trees and generalized joint attribute models to describe biodiversity on seamounts and deep slopes and identify 3D protection solutions for achieving the CBD area target in New Caledonia (1.4millionkm2). We prioritized the identified conservation units in a 3D space, based on various biodiversity targets, to meet the goal of protecting at least 30% of the spatial domain, with a focus on areas with high biodiversity. The relationship between biodiversity protection targets and the spatial area protected by the solution was linear. The scenario protecting 30% of each biodiversity metric preserved almost 30% of the considered spatial domain and accounted for the 3D distribution of biodiversity. Our study paves the way for the use of combined data collection methodologies to improve biodiversity estimates in 3D structured marine environments for the selection of conservation areas and for the use of biodiversity targets to achieve area-based international targets.

4IR Applications in the Transport Industry: Systematic Review of the State of the Art with Respect to Data Collection and Processing Mechanisms

Transportation systems through the ages have seen drastic evolutions in terms of transportation methods, speed of transport, infrastructure, technology, connectivity, influence on the environment, and accessibility. The massive transformation seen in the transportation sector has been fueled by the Industrial Revolutions, which have continued expansion and progress into the fourth Industrial Revolution. However, the methodologies of data collection and processing used by the many drivers of this progress differ. In order to achieve a better understanding of the impact of these technologies, in this study, we methodically reviewed the literature on the subject of the data collection and processing mechanisms of 4IR technologies in the context of transport. Gaps in present practices are identified in the study, especially with regard to the integration and scalability of these technologies in transportation networks. In order to fully reap the rewards of 4IR technologies, it is also necessary to apply standardized methods for data gathering and processing. In this report, we offer insights into current obstacles and make recommendations for future research to solve these concerns through a comprehensive evaluation of the literature, with the goal of promoting the development of intelligent and sustainable transportation systems.

The aspects of behavioral finance with new insights: an analysis of individual investors at Pakistan Stock Exchange (PSX)

PurposeThe cognitive biases exhibited by investors could hinder their capacity for logical reasoning and impact their perception and reaction to information when making financial choices. So, this study was done to identify the behavioral biases that hinder investors' sound decision-making at the Pakistan Stock Exchange (PSX).Design/methodology/approachA cross-sectional study was undertaken employing a causal research design approach. Questionnaires were administered to individual investors of the PSX as the data collection methodology. The data were subsequently analyzed through the utilization of the Smart PLS Structural Equation Modeling (SEM) technique.FindingsThe results suggest that information factors and cognitive biases, namely home bias, geographical bias, investor sentiment, salience, and over/under reaction have a positive association with the investors' choices at PSX.Research limitations/implicationsThe study’s emphasis is on the impact of behavioral biases on individual investors only, even though such biases also influence the investment decisions of institutional investors.Practical implicationsThe study holds implications for scholars engaged in the field of behavioral finance as well as professionals involved in the stock market, particularly those interacting with individual investors and personal finance. Additionally, the current study will take into account investors, financial advisors, practitioners, policymakers, investment experts, stakeholders or target groups, etc. to support various groups in their professional activity and to help them overcome such biases that influence their sound decision-making power.Originality/valueThe innovative aspect of this research is its ability to advance the understanding of the conceptual underpinnings and social structure of behavioral biases by critically analyzing the body of prior research and adding value to the existing body of literature on behavioral finance in Pakistan by investigating the combined impact of never-studied variables, i.e. geographical bias and information variables, understudied behavioral variables, i.e. home bias and salience and studied variables, i.e. investor sentiment and over/under reaction on individual investor investment decisions at PSX.

Methodology of collection, recording and markup of biophysical multimodal data in the study of human psychoemotional states

Methodology of collection, recording and markup of biophysical multimodal data in the study of human psychoemotional states