Decision Stage Research Articles

Suicide decision-making: Differences in proximal considerations between individuals who aborted and attempted suicide.

The transition from suicidal thoughts to behaviors often involves considering the consequences of suicide as part of the decision-making process. This study explored the relationship between this consideration process and the decision to either abort or carry out a suicide attempt. Among inpatients with a suicide-related event in the past 2 weeks (suicide attempt n = 30 or aborted attempt n = 16), we assessed the degree to which they considered six domains of consequences, the impact of these considerations on their inclination to attempt suicide, and the duration of their decision-making. All the participants who aborted and 87% of those who attempted considered consequences of suicide. Participants who aborted took longer to progress through decision-making stages and considered more suicide-hindering factors, especially interpersonal ones, though these differences were no longer significant after correction. Group status moderated the relationship between the balance of suicide-facilitating and suicide-hindering considerations and decision-making duration. Considering the consequences of suicide more favorably was related to a shorter ideation-to-action period before a suicide attempt and a longer ideation period before aborting an attempt. This study highlights the complexity of suicide decision-making and its role in better understanding the progression from ideation to action.

The role of the family’s ethnicity and correlates in social workers’ risk perceptions: Evidence from a vignette study in Hungary

Studies have shown that children from some ethnic minority families are disproportionately represented in the child protection system. Ethnic-based treatment is problematic because it challenges whether child protection decision-making is based on the principle of’the best interests of the child’. Roma children are also overrepresented in the child protection systems of many European countries, but little research has explored why this is so. The present study seeks to address this gap by examining child welfare workers’ perceptions of risk at the early stages of child protection decision-making. The main research question is whether they perceive higher levels of risk if the parents are Roma. Method: We use data from a vignette-based survey conducted among child welfare workers (N = 600) in Hungary in 2018. The factors influencing social workers’ risk perceptions are analysed using multilevel ordinal logistic regressions. The regression models of risk perception include case variables (harm to child, parents’ ethnicity, mother’s education, parents’ employment, housing conditions, living environment, parental alcoholism, mother’s willingness to cooperate), and the individual characteristics of the social worker. Ethnicity is examined individually as well as in interaction with other case characteristics. Results: Findings show that physical harm to the child, parental alcoholism, a messy living environment, and the non-cooperative behaviour of the mother increase the level of risk perceived by child welfare workers. There is no evidence of a statistical association between parental socioeconomic status and the social worker’s perception of risk. Family ethnicity also does not have a statistically significant impact on risk perception (main effect). However, some case characteristics affect risk perception differently when the family is of Roma origin (interaction effects). Physical abuse has a strong effect on the social worker’s perception of risk, but this effect is more modest when the family is of Roma origin. Likewise, the mother’s non-cooperative behaviour is a risk-increasing factor, but this effect disappears for Roma families. Conclusions: Although, no ethnic bias was found in social workers’ perception of risk, our findings indicate that the perception of risk for Roma families is less dependent on the circumstances of the case than for majority families. In some cases, this may lead to an unjustified overestimation of risk or, conversely, an underestimation when the family is Roma.

How water circularity can help to reduce and regulate water waste in urban districts

Abstract Global water consumption has increased sixfold in the past 100 years and is growing at about 1% per year due to population growth, economic development, and changing consumption patterns; therefore, climate change, combined with urbanization and population growth, is causing water availability problems in cities around the world. Rethinking circular cities that put water at the centre of their priorities and that manage it cyclically and keep it within the urban environment as much as possible to maximize its value must become the fundamental goal. However, to date, cities are not even close to maximizing the use of water that reaches their buildings. As a result, two main issues have emerged as crucial in the international debate: the scarcity of water resources due to its wastefulness and overuse, and extreme weather events, such as heavy rains alternating with periods of prolonged drought, a consequence of global warming. In response to these issues, this research aims to investigate the potential of a design approach that takes into account the two phenomena of water excess and shortage, integrating water from the earliest decision-making stages of building design. Starting from the definition of architectural strategies, replicable solutions are defined and evaluated against specific KPIs to develop a resilient and climate-neutral architectural and urban design model.

How survey scoring decisions can influence your study's results: A trip through the IRT looking glass.

Though much effort is often put into designing psychological studies, the measurement model and scoring approach employed are often an afterthought, especially when short survey scales are used (Flake & Fried, 2020). One possible reason that measurement gets downplayed is that there is generally little understanding of how calibration/scoring approaches could impact common estimands of interest, including treatment effect estimates, beyond random noise due to measurement error. Another possible reason is that the process of scoring is complicated, involving selecting a suitable measurement model, calibrating its parameters, then deciding how to generate a score, all steps that occur before the score is even used to examine the desired psychological phenomenon. In this study, we provide three motivating examples where surveys are used to understand individuals' underlying social emotional and/or personality constructs to demonstrate the potential consequences of measurement/scoring decisions. These examples also mean we can walk through the different measurement decision stages and, hopefully, begin to demystify them. As we show in our analyses, the decisions researchers make about how to calibrate and score the survey used has consequences that are often overlooked, with likely implications both for conclusions drawn from individual psychological studies and replications of studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Disparate impact of risk assessment instruments: A systematic review.

One concern about the use of risk assessment instruments in legal decisions is the potential for disparate impact by race or ethnicity. This means that one racial or ethnic group will experience harsher legal outcomes than another because of higher or biased risk estimates. We conducted a systematic review of the literature to synthesize research examining the real-world impact of juvenile and adult risk instruments on racial/ethnic disparities in legal decision making. Given the nature of research synthesis, we did not test formal hypotheses. Our systematic literature search as of July 2023 identified 21 articles that investigated the disparate impact of 13 risk assessment instruments on various legal outcomes. Most of these instruments were actuarial pretrial screening instruments. Our narrative synthesis indicated that there is not strong evidence of risk instruments contributing to greater system disparity. Ten articles indicated that adopting risk instruments did not create (or exacerbate preexisting) disparities, and eight articles found that instrument use reduced disparities in legal decision making. Three articles reported evidence of disparate impact of risk instruments; only one of these studies received a strong study quality assessment score. We observed a scarcity of high-quality articles that employed what we deem to be the gold standard approach for examining the disparate impact of risk instruments (i.e., pretest-posttest design). The evidence signals that risk instruments can contribute to reductions in disparities across multiple stages of legal decision making. Yet study quality remains low, and most research has been conducted on decisions during the pretrial stage. More rigorous research on disparate impact across diverse legal decision points and approaches to risk assessment is needed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Two-stage stochastic multi-criteria group decision making for wind-photovoltaic-hydropower scheduling

Scheduling of wind-photovoltaic-hydropower systems is a complex multi-objective collaborative problem which requires multi-criteria decision making (MCDM) to assist in formulating the most-preferred scheduling scheme. There are uncertainties existing in criteria weights (CWs) due to the limitations of the knowledge level of decision makers and the subjectivity of preferences. This paper proposes a two-stage stochastic multi-criteria group decision making model considering the uncertainties in the decision making environment and the progression of the decision making process. For the prophase decision making (the first stage), the stochastic multi-criteria acceptability analysis (SMAA) theory and the MCDM model VIKOR are combined to construct a SMAA-VIKOR model for inverse weight space analysis on the situation that the initial CW information is completely unknown. In the second stage of decision making, the decision makers are allowed to express their fuzzy preferences based on the information provided in the first stage by coupling the intuitionistic fuzzy analytic hierarchy process (IFAHP) into the SMAA-VIKOR model to obtain the final scheme. The wind-photovoltaic-hydropower system in Yalong River Basin is selected as the case study. Results show that among the 12 alternative schemes, scheme A2 is ranked first with the probability of 0.69 in the first stage while the probability of taking the first ranking in the second stage is increased to 1. More explicit ranking results are obtained based on the results of the first stage, which effectively enhances the confidence of decision makers and improves decision making efficiency.

Pengaruh Kepemimpinan Kepala Desa terhadap Partisipasi Masyarakat dalam Pembangunan Desa Sruwi Kecamatan Winongan Kabupaten Pasuruan

Leadership is the ability to persuade or influence others to achieve certain goals and the authority to establish responsibility. The role and community is consciously and voluntarily in the stage of decision making, implementation of activities, monitoring and evaluation, as well as the use of development results from the development process is called "community participation". The population used is the community of Sruwi village with a sample of 100 respondents with a sampling technique using non probability techniques with slovin formulas, the division method using Random sampling Technique where researchers divided into several groups. Analysts used are Instrument Test, Description Analysis, Classic Assumption Test, Simple Linear Regression Analysis, Coefficient Determinant Analysis, Koofisien Correlation And Hypothesis Tests. The results showed that 1) Leadership had a partial effect on community participation with a value of sig.0,000 <0.05 and the value of count> t table is 15.763> 1.984 2) There is a relationship and influence between leadership variables and participation with a value of 0,000 <0.05. With the value of pearson correlation 0,847 which means correlation relations rates are very strong.

Neural mechanisms of cooperation and fairness in iterative prisoner’s dilemma

Cooperation is a universal human principle reflecting working with others to achieve common goals. The rational decision-making model contends that cooperation is the best strategy for maximizing benefits in an iterative prisoner’s dilemma. However, the motivations for cooperation (or betrayal) are complex and diverse, and often include fairness reflections. In this study, we used functional magnetic resonance imaging to study underlying neural differences in brain regions related to fairness when people interact with an opponent who tend to cooperate or betray, at different decision-making stages. Results based on 40 university students (25 women) indicate that experiences of cooperation or betrayal affect people’s fairness perception. Distinct neural activities occur in expectation, decision, and outcome phases of decisions. In the expectation phase, those in the cooperative condition exhibited increased activation in the anterior cingulate gyrus, medial superior frontal gyrus, and caudate nucleus compared to those in the uncooperative condition. During the decision phase, those in the cooperative condition showed greater activation in the middle frontal gyrus, caudate nucleus/frontal insula, inferior frontal gyrus, and cingulate gyrus compared to those in the uncooperative condition. In the outcome feedback phase, the caudate nucleus, insula, cingulate gyrus, and inferior frontal gyrus of the orbit were more active in the uncooperative condition than in the cooperative condition. Results also showed a significant correlation between caudate activity and the perception of fairness when expecting uncooperative conditions.

Социальный выбор личности в повседневности

The article examines the peculiarities of a person’s social choice in an everyday situation. Against the back-ground of global transformations, daily life is the most sustainable social education. However, information technologies in various spheres of society have also affected the daily existence of a person, which has led to an interest in an area that previously acted as a background for more significant processes. The study of the phenomenon of social choice in everyday life is interdisciplinary in nature due to its multidimensional and mul-tilevel nature. Analyzing everyday life allows for the identification of the principles governing decision-making processes. The article highlights both the negative and positive consequences of these choices in the context of human activity: anonymity, avoidance of responsibility, and stereotyping. Furthermore, it examines the influ-ence of everyday life as an essential attribute of social existence on the stages of individual decision-making.

Improving Pedestrian Safety with Head-Up Display Warning in a Connected Environment

In this paper, the potential of using a head-up display (HUD) in the connected environment to improve a vehicle’s running comfort and pedestrian safety is tested, by providing warning information to drivers in advance. To achieve this objective, driving simulation technology is used to construct the connected environment and develop the HUD, and the effectiveness of the system is then tested. Specifically, thirty-four participants were recruited to conduct driving simulation experiments in six scenarios: three warning display types (Baseline/Head-down display/Head-up display) combined with two weather conditions (clear weather/foggy weather). The effects of the three different warning display types on braking risk-avoidance strategy were studied by comparing the drivers’ performance during the perception and decision stage (position of accelerator-pedal release, position of first braking), the risk-avoidance manipulation stage (maximum deceleration, braking distance) and the risk-avoidance result stage (minimum collision distance, position of minimum speed). The influences of weather conditions and driver attributes were also considered. When the HUD warnings were activated, drivers started to decelerate further away from pedestrians, with a more stable and moderate deceleration process and a greater safety margin between the vehicle and the pedestrians. Using HUD warnings in foggy conditions improved drivers’ perception and decision abilities, this study confirmed the great benefits that HUD warnings in the connected environment can bring to traffic safety, especially under risky situations and inclement weathers. The research results provide a reference for the more humanized and rationalized optimization design of these warning systems.

Research on Assessment Method for Cognitive Influence Factors of Nuclear Power Plant Operators Based on Fuzzy Analytic Hierarchy Process and Deep Learning of Electroencephalogram Signals

This study explores the factors influencing the cognitive processes of operators in digital nuclear power plants, with a focus on the correlation between these factors and electroencephalogram (EEG) features. Initially, based on expert consultations, seven factors were considered: stress, time, fatigue, procedural complexity, user interface experience, procedural clarity, and efficiency. From these, four were identified as the most crucial for each stage of the cognitive process, highlighting their significant roles in influencing cognitive performance and potentially correlating with distinct EEG characteristics. These were assessed using the fuzzy analytic hierarchy process (FAHP) to determine the weightings of influences across the cognitive stages of monitoring, decision making, and execution. Employing a simulated scenario of a steam generator tube rupture, subjective questionnaires were utilized to gauge participant perceptions of influencer impacts at each stage, calculating human factors fuzzy synthetic values. Concurrently, EEG signals were segmented by operational steps, extracting around 114 features across the time, frequency, and time-frequency domains, which were then dimensionally reduced to 17 principal components via adaptive principal components analysis (APCA). A correlation analysis was performed between the human factors fuzzy synthetic values and the APCA-reduced EEG features of participants. Subsequently, the EEG feature columns of the eight selected participants were used as inputs to construct a transformer-based self-attention network model to evaluate the participants’ human factors fuzzy comprehensive values. The findings confirm the transformer model’s efficacy in assessing these values, evidencing a significant correlation between the EEG features and human factors fuzzy synthetic values. Integrating FAHP with machine learning methodologies, this model proficiently estimated operators’ cognitive states during various cognitive processes, significantly enhancing human-machine interface design and the operational safety and efficiency at nuclear power plants.

Clinicopathological Factors Predicting Pathological Complete Response to Neoadjuvant Anti-HER2 Therapy in HER2-Positive Breast Cancer

Plain Language SummaryNeoadjuvant treatment is the standard approach for human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Especially, pathologic response is an important prognostic factor and the adjuvant treatment is dependent on the response. Therefore, predicting the response is important for modulating the treatment sequence, especially in the initial stage of treatment decision. Therefore, we aimed to identify factors that can predict the effectiveness of neoadjuvant chemotherapy, and our results suggest that factors such as tumor size, grade, hormone receptor, and HER2 status should be considered in the treatment of breast cancer.

Network Analysis of Two-Stage Customer Decisions with Preference-Guided Market Segmentation

Abstract Network-based analyses have shown their effectiveness in understanding customer preferences through interactions and relationships between customers and products, particularly for tailored product design. There is limited research on applying this analysis to diverse customers with varied preferences. This paper introduces a market-segmented network modeling approach, guided by customer preference, to explore heterogeneity in customers' two-stage decision-making process: consideration-then-choice. In heterogeneous markets, like household appliances, even customers with similar characteristics or purchasing similar products can exhibit different decision-making processes. Therefore, In this method, we segment customers into groups based on preferences rather than just characteristics, allowing for more accurate choice modeling. Using Joint Correspondence Analysis, we identify associations between customer attributes and preferred products, characterizing market segments through clustering. We then build individual bipartite customer-product networks and apply the Exponential Random Graph Model to compare the product features influencing customer considerations and choices in various market segments. Using a US household vacuum cleaner survey, our method detected different customer preferences for the same product attribute at different decision-making stages. The market-segmentation model outperforms the non-segmented benchmark in prediction, highlighting its accuracy in predicting varied customer behaviors. This study underscores the vital role of preference-guided segmentation in product design, illustrating how a deeper understanding of customer preferences at different decision stages can inform and refine design strategies, ensuring products are more closely aligned with the dynamic needs and tastes of diverse markets.

Collaborative rescheduling of train timetables to relieve passenger congestions in an urban rail transit network: A rolling horizon approach

At some urban rail transit (URT) stations, large activities, emergencies, or holidays usually lead to a significant surge in passenger flow demand quickly, known as Large Passenger Flow (LPF) events. The passenger congestion will spread quickly via transfer stations and affect other stations and lines in the URT network. This study develops a timetable rescheduling and coordinating method for the URT network under LPF events. Firstly, a collaborative adjustment model of train timetables with an implement backup vehicle strategy is formulated to simultaneously consider rescheduling and coordinating problems, to reduce the congestion influence for an URT network. Then, a rolling horizon approach is developed to divide the whole adjustment problem into several decision-making stages to ensure solution efficiency. In each decision-making stage, the influence of LPF propagation within the URT network is firstly evaluated. Based on the congestion evaluation results, the proposed method determines whether it’s necessary to adjust timetables of the LPF Line or other lines. The proposed method is applied to the Xi’an Metro network in China. The results indicate that the proposed method can effectively evaluate and adjust the train timetables for large URT networks under the LPF events.

A study of Islamic banking and finance for interest-free investors: A bibliometric analysis

Islamic banking is one of the fastest-growing sectors of the financial industry. Several works have been written in this field, but none attempt to learn the entire Islamic banking and financial system. Furthermore, the study could not locate any publications investigating the conceptual and intellectual foundations of this emerging field of inquiry. The current study uses bibliometric methodologies to assess the current state of Islamic banking, financial research, and the upcoming trends. For the people who choose interest-free investments, the current research examines a conceptual research context on Islamic banking and finance at various planning and decision-making stages. One thousand research studies appearing in scholarly journals between 2005 and 2023 were reviewed for the purpose. In order to examine the works on Islamic banking and finance, bibliometric techniques were used, including analysis of citation network, content, co-citation, keyword, and publishing trends. By suggesting thirteen clusters, to enhance research on Islamic banking and finance to help interest-free investors learn more, the goal of the research is to promote the body of knowledge. The field of Islamic banking and finance has grown from a young lot to a prominent teaching and research tool. Investigating and identifying current research trends in this area is crucial. As institutions and society are placing more emphasis on Islamic banking to raise individual citizens’ responsibilities in developing interest-free investing strategies, the findings are crucial to the community of interest-free financiers. Further research urges with the studies not restricted to a thousand researches only.

Kontribusi Televisi Lokal TVku Semarang Dalam Membentuk Kompetensi Profesional Mahasiswa Melalui Program Magang Inkubator Kerja

Based on Kemenristekdikti Press Release Number: 3 / SP / HM / BKKP / I / 2019 with “Research, Technology and Open Higher Education, Flexible and Excellent” themes, there are points that nowdays we need to prepare graduates who have competencies and work ability and employability by giving certification, increasing student achievement, and giving professional experience. TVKU as a local television in Semarang has an internship program called Incubator. This research aims to determine the extent of the relevance aspects of Incubator program towards formation of competencies and professional experience for students of Dian Nuswantoro University Semarang before they graduate from college and go into the real world of work. The method used in this research is descriptive. The data in this research were obtained by field studies through interviews, observation and documentation. The process of data analysis uses descriptive-qualitative analysis methods with the stages of data collection, data reduction, data presentation, decision making or verification. The results of this study, there is a relationship or relevance between TVKU Incubator programs with the formation of competencies and professional experience of students, proven by the existence of alumni who succeeded to work after joining the Incubator program.

Regulating programmed cell death in plant cells: Intracellular acidification plays a pivotal role together with calcium signaling.

Programmed cell death (PCD) occurs in different tissues in response to a number of different signals in plant cells. Drawing from work in several different contexts, including root-cap cell differentiation, plant response to biotic and abiotic stress, and some self-incompatibility (SI) systems, the data suggest that, despite differences, there are underlying commonalities in the early decision-making stages of PCD. Here, we focus on how 2 cellular events, increased [Ca2+]cyt levels and cytosolic acidification, appear to act as early signals involved in regulating both developmental and stimulus-induced PCD in plant cells.

The impact of task measurements on sequential dependence: a comparison between temporal reproduction and discrimination tasks

Decisions about a current stimulus are influenced by previously encountered stimuli, leading to sequential bias. However, the specific processing levels at which serial dependence emerges remain unclear. Despite considerable evidence pointing to contributions from perceptual and post-perceptual processes, as well as response carryover effects impacting subsequent judgments, research into how different task measurements affect sequential dependencies is limited. To address this gap, the present study investigated the role of task type in shaping sequential effects in time perception, employing a random-dot kinematogram (RDK) in a post-cue paradigm. Participants had to remember both the duration and the direction of the RDK movement and perform the task based on a post-cue, which was equally likely to be direction or duration. To delineate the task type, we employed the temporal bisection task in Experiment 1 and the duration reproduction task in Experiment 2. Both experiments revealed a significant sequential bias: durations were perceived as longer following longer previous durations, and vice versa. Intriguingly, the sequential effect was enhanced in the reproduction task following the same reproduction task (Experiment 2), but did not show significant variation by the task type in the bisection task (Experiment 1). Moreover, comparable response carryover effects were observed across two experiments. We argue that the differential impacts of task types on sequential dependence lies in the involvement of memory reactivation process in the decision stage, while the post-decision response carryover effect may reflect the assimilation by subjective, rather than objective, durations, potentially linking to the sticky pacemaker rate and/or decisional inertia.

Analysis of the Use of Qris as Social Change Among Students

Background: This research aims to analyze the use of QRIS as an alternative to digital payments at Hasanuddin University, explore the factors influencing its adoption among students, and provide recommendations for increasing its implementation, while assessing social changes related to the shift from cash to digital money. Objective: This research aims to describe Hasanuddin University students' awareness of the use of QRIS as a digital payment solution and analyze the social changes that occur as a result of the use of QRIS among students. Method: This research uses a quantitative approach with descriptive research type. The population in this study were students registered in the Hasanuddin University FISIP Sociology Masters Program, and the sampling technique in this study was a probability sampling method with types. The type of method used was total sampling where the sample size was the same as the population with the number of research samples being 86 person. Results: The results of this research show that: first, the level of awareness of Hasanuddin University FISIP Masters students regarding the use of the QRIS application as a transaction method is in the "Enough" category with a TCR of 60.093; second, QRIS functions as a social fact that maintains social order by reducing criminal acts and building trust between individuals; third, there are five stages of the innovation diffusion process in the practice of using the QRIS application among students, namely the stages of introduction, persuasion, decision, implementation, and confirmation. Conclusion: Digital awareness in the use of the QRIS application among students of the Master of Sociology FISIP University of Hasanuddin involves seven main aspects: Posthumanism, Human-Machine Interaction, Digital Aesthetics, Fluidity of Identity and Consciousness, Technology and the Evolution of Consciousness, Transcendence of Physical Boundaries, and Interdisciplinarity.

Partisipasi Masyarakat dalam Pengelolaan Pariwisata Berkelanjutan Desa Wisata Samiran, Kecamatan Kabupaten Boyolali

Samiran Tourism Village has developed since 2009 based on community empowerment, so it is necessary to identify its management aspects to realize sustainable tourism. The research method is a qualitative approach through data collection of literature studies, observation, in-depth and semi-structured interviews. The interview informants were Samiran Tourism Village stakeholders who were determined by purposive sampling method tailored to the research objectives. Data analysis was conducted descriptively qualitatively through three steps of reduction, data presentation, and conclusion drawing. Samiran Tourism Village has achieved sustainable tourism management by involving various stakeholders but still placing the community as the main actor through the management structure and framework, stakeholder involvement, and management of change. The level of participation was identified through 5 stages. The high category level is at the implementation stage of enjoying results, and reporting because the community is fully involved in it, while the moderate level of participation is at the decision-making and evaluation stages, where the community still plays a role but is not independent / cooperates with other stakeholders. The factors that determine the level of participation can be divided into two, internal and external. Internal factors that influence are gender, social position, length of stay, and local hero, while external factors are influenced by policies made by the government, so that it is beyond the authority of the tourist village and cannot be controlled.Keywords: participation, management, sustainability, tourism village