Intersection Model Research Articles

Developing a Sustainable Traffic Management Framework Using Machine Learning Models for Fuel Consumption Minimization at Closely Spaced Intersections

Closely spaced intersections can be specified as special types of intersections with short-distance characteristics that are generally located in urban areas. This study aimed to develop a sustainable transportation framework of machine learning algorithms to predict and minimize fuel consumption as a measure of environmental impact at closely spaced intersections. In the theoretical framework, this study incorporates key traffic parameters such as left-turn-lane length, cycle time, distance between intersections, left-turn movement ratio, and traffic volume fluctuations to model fuel consumption. In this context, different scenarios were modeled and compared with SIDRA Intersection (version 6.1), which is a well-known traffic analysis and intersection modeling software, by using partial least square regression (PLSR), polynomial support vector machine (PSVM), and artificial neural network (ANN) models to conduct a comparative analysis of their applicability. The results demonstrated that the ANN model best captured fuel consumption variations across different key influencing factors. Among all models, cycle time showed the highest sensitivity, highlighting its critical impact; the optimization of left-turn-lane length and cycle time is performed using Particle Swarm Optimization (PSO) to minimize the impact of left-turns on fuel consumption. These enhancements promote more efficient and environmentally friendly traffic management. The integration of the predictive and optimized PSO-ANN model establishes a foundation for optimizing intersection performance. The findings indicate that an overall improvement of 8.9% in fuel consumption is achieved by evaluating the optimized parameters under varying traffic volumes. The proposed framework supports sustainable signalized intersection management by improving fuel efficiency and reducing environmental impact.

Progressively differentiated TFH13 cells are stabilized by JunB to mediate allergen germinal center responses.

Allergic diseases are common and affect a large proportion of the population. Interleukin-13 (IL-13)-expressing follicular helper T (TFH13) cells are a newly identified population of TFH cells that have been associated with high-affinity IgE responses. However, the origins, developmental signals, transcriptional programming and precise functions of TFH13 cells are unknown. Here, we examined the developmental signals for TFH13 cells and found a direct and progressive differentiation pathway marked by the production of IL-21. These two pathways differed in kinetics and extrinsic requirements. However, both pathways converged, forming transcriptionally similar TFH13 cells that express the transcription factor JunB as a critical stabilizing factor. Using an intersectional genetics-based TFH13-diphtheria toxin receptor model to perturb these cells, we found that TFH13 cells were essential to drive broad germinal center responses and allergen-specific IgG and IgE. Moreover, we found that IL-21 is a broad positive regulator of allergen germinal center B cells and synergizes with IL-13 produced by TFH13 cells to amplify allergic responses. Thus, TFH13 cells orchestrate multiple features of allergic inflammation.

Light driven photoswitches: three classes of molecular systems that result in a single photoproduct via a conical intersection and an exothermic reverse reaction.

A common feature of molecular photoswitches is the selectivity of their photo-processes. The photoswitching model must combine a selective photochemical direct route and a thermal reverse reaction from the product back to the parent reactant. The conical intersection model is an appropriate approach to this problem. Valence bond analysis of the ground state reactions between the photoswitching isomers provides a chemically oriented approach to locate the conical intersection and to define its two coordinates. Three different classes of molecular photoswitches have been identified:(1) A reactant and product are connected by two distinct reaction routes with two different transition states. The conical intersection is situated inside this phase-inverting loop. An example of this class of photoswitches is an isomerization around a polar double CC, CN or NN bond. The capacity to store energy is indicated by the energy gap between the reactant and product. However, this can also result in the destabilisation of the product. For instance, the addition of bulky substituents can disrupt the planar fragment around the double bond, leading to the loss of π-conjugation. Two non-equivalent isomers with different contributions of polar and biradical forms can exhibit a highly distorted conical intersection topology. (2) The photoreaction leading to two photoproducts is a regular case. However, this case could be a "quasi single product", if two products or the parent reactant and one of the products are equivalent isomers. This is the second type of photoswitch. (3) If one of the two products is at a higher energy level than both the reactant and the main product, then this is also a possible molecular photoswitching mechanism. The second high energy product is likely to be unstable and it is close to conical intersection. The norbornadiene-quadricyclane pair is an example of this type of photoswitch.

Sensory innervation in the prostate and a role for calcitonin gene-related peptide in prostatic epithelial proliferation.

The prostate is densely innervated like many visceral organs and glands. However, studies to date have focused on sympathetic and parasympathetic nerves and little attention has been given to the presence or function of sensory nerves in the prostate. Recent studies have highlighted a role for sensory nerves beyond perception of noxious stimuli, as anterograde release of neuropeptides from sensory nerves can affect vascular tone and local immune responses. To identify the degree of sensory innervation in the prostate, we utilized state-of-the-art tissue clearing and microscopy to visualize sensory innervation in the different lobes of the mouse prostate. To determine whether sensory nerves have a role in regulating proliferation within the prostate, we used an intersectional genetic and toxin approach to ablate peptidergic sensory nerves systemically. We found that sensory neurons are abundant in the prostate both in nerve bundles along the vasculature and as independent nerve fibers wrapped around prostatic acini in a net-like fashion. In addition to the dense innervation of the prostate, we found that Calca haploinsufficiency, the genotype control for our intersectional ablation model, results in a diminished level of Ki67 staining in the stromal compartment of the dorsal lobe and a diminishing Ki67 trend in other lobes. These findings suggest that sensory neurons might have developmental or homeostatic effects within the prostate. Further studies are warranted to assess the role of sensory neurons and the sensory neuropeptides on prostatic development and on proliferation in the presence of pro-inflammatory stimuli such as bacterial infection or tumor cells.

An Intersectional Analysis of Black Bisexual Men’s Internalized Stigmas

Despite existing research linking bisexuality to poorer health outcomes compared to gay and straight individuals, scholarship has largely neglected the unique vulnerabilities of Black bisexual men. The purpose of this research is to examine Black bisexual men’s reports of internalized stigma experiences with an intersectional framework. We utilize a purposive sampling method to target the engagement of Black bisexual men on a large anonymous social media platform. Our findings suggest that persisting stigmas of Black bisexual men, particularly related to hegemonic masculinity, heterosexism, and White supremacy, are underpinned by a matrix of domination seeking to retain the sub-status of Black sexualities. We end our article with a call for more intersectional models in Black LGBT mental health research. We extend the domains of stigma power as one possible strategy for future scholarship.

The protective role of siblings in sexual diverse emerging adult well-being

Close sibling relationships can serve as a salient source of support, particularly for individuals navigating stressors associated with emerging adulthood and minoritized identities. Using attachment theory and the temporal intersectional minority stress model as guiding frameworks, mixed-methods data were collected from 939 emerging adult college students to examine the role that siblings play in sexually diverse individual well-being. Sexually diverse emerging adults who perceived close sibling ties did not exhibit a negative effect of prospective anxiety on their self-esteem, but did experience an elevation in positive affect in the face of prospective anxiety, whereas sexually diverse individuals who had poor sibling relationships and heterosexual emerging adults did not show these protective effects. Interactions were not significant for negative affect. Sexually diverse emerging adults shared their lived experiences of how their siblings contribute to their well-being, including themes of affect, sibling interactions, sibling qualities, and coping within the relationship. Most sexually diverse individuals appeared to view a positive effect of siblings on their well-being despite less proximity to the family of origin.

Onset of Type 2 diabetes in adults aged 50 and older in Europe: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy

BackgroundDisparities in the development of Type 2 Diabetes (T2D) are associated with various social determinants, including sex/gender, migration background, living arrangement, education, and household income. This study applied an intersectional perspective to map social disparities and investigate intersectional effects regarding the onset of T2D among older adults across Europe.MethodsWe used data from the Survey of Health and Retirement in Europe (SHARE) to conduct an Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA) of T2D onset. Individuals aged 50 years or older without known T2D at Wave 4 (2011, baseline) were included and followed through Waves 5 (2013), 6 (2015), 7 (2016), and 8 (2019–2020). Intersectional models were used to estimate additive main effects of sex/gender, migration background, living arrangement, education level, and household income and intersectional interactions.ResultsA total of 39,108 individuals were included (age at baseline M = 65.18 years (SD = 9.62), 57.4% women). T2D onset was reported for 9.2% of the sample over the 9-year observation period. In the fully adjusted model, all social determinants showed significant additive associations with T2D onset, while the discriminatory accuracy of the social strata was found to be low (Variance Partition Coefficient = 0.3%).ConclusionsThis study provides a comprehensive mapping of intersectional disparities in onset of T2D among older adults in Europe. The results highlight the risk heterogeneity within the population and show social disadvantages faced by certain groups. However, while the T2D risks were higher in some strata than in others, the intersectional effects were small overall and mostly attributable to the additive main effects. The results suggest that public health strategies to prevent T2D should be universal but tailored to meet the specific situation of the different intersectional strata.

Why DON'T We "Say Her Name"? An Intersectional Model of the Invisibility of Police Violence Against Black Women and Girls.

Racialized police violence is a profound form of systemic oppression affecting Black Americans, yet the narratives surrounding police brutality have disproportionately centered on Black men and boys, overshadowing the victimization of Black women and girls. In 2014, the #SayHerName campaign emerged to bring attention to the often-overlooked instances of police brutality against Black women and girls, including incidents of both nonsexual and sexual violence. Despite these efforts, mainstream discourse and psychological scholarship on police violence continue to marginalize the experiences of Black women and girls. This raises a critical question: Why DON'T we "Say Her Name"? This article employs intersectional frameworks to demonstrate how the historic and systemic factors that render Black women and girls particularly vulnerable to police violence also deny their legitimacy as victims, perpetuate their invisibility, and increase their susceptibility to state-sanctioned violence. We extend models of intersectional invisibility by arguing that ideologies related to age, in addition to racial and gender identities, contribute to their marginalization. Finally, we reflect on how psychological researchers can play a pivotal role in dismantling the invisibility of Black women and girls through scientific efforts and advocacy.

Racialized Gender Stress and Mental Health Among Black Women: a Test of the Vance-wade Intersectional Suicide Risk Model with Longitudinal Data.

The recent shift in Black women's suicide risk calls for a new paradigm focused on unique factors specific to Black womanhood. The Vance-Wade Intersectional Suicide Risk Model (VWISRM) was introduced to contextualize this unexpected spike. According to the VWISRM, for Black women, psychosocial risk factors, gendered racism, and the Strong Black Woman script (SBW) lead to racialized gender stress (RGS) which results in mental health outcomes which are established predictors of suicide-related behaviors. The National Longitudinal Study of Adolescent Health (Add Health) was used to test for empirical evidence supporting the VWISRM. Our sample consisted of 418 Black female adolescent respondents who fully participated in data collection during Waves 1, 3, and 4. We ran bivariate analyses to examine both (1) what psychosocial factors of Black women are associated with SBW traits, gendered racism, and racialized gendered stress and (2) what mental health outcomes are predicted by SBW traits, gendered racism, and racialized gendered stress. Our analysis showed having both lower scores on the SBW traits and experiencing gendered racism are associated with a PTSD diagnosis. Specifically, the analysis explained 30% of the variation in PTSD diagnoses among Black women. Having both lower scores on the SBW traits predicted anxiety, PTSD, and contemplating suicide, and having experienced RGS linked to depression anxiety and contemplating suicide. Importantly, there were no moderating effects among SBW traits and RGS on PTSD, anxiety, or suicidality. Findings highlight important research and clinical implications for Black women's mental health. The Gendered Racism Intersectional Trauma model (GRIT) is introduced to better understand the breadth of mental health outcomes for Black women. Notably, our findings make a new contribution to the scientific inquiry of PTSD in Black women.

Moving beyond vulnerability and focusing on resilience: An intersectional posttraumatic growth model for LGBTQ+ people of color.

In the context of the legacy of deficit-focused research and application of theoretical models in research on minoritized groups that are underrepresented in the literature, we explored the strengths-based literature among lesbian, gay, bisexual, transgender, and queer (LGBTQ+) people of color to develop a more inclusive and relevant understanding of how posttraumatic growth (PTG) occurs in this population. Our intersectional PTG model is tailored to the experiences of LGBTQ+ people of color that builds upon previous models of PTG, intersectionality theory, and empirical findings of trauma and PTG among LGBTQ+ people of color. Our intersectional PTG model incorporates the unique intrapersonal, interpersonal, institutional, and cultural factors that are unique to this population and contribute to PTG. We challenge the limited scope of Criterion A traumatic events and emphasize empirical findings that support that LGBTQ+ people of color often experience posttraumatic stress after oppression and discrimination. Our model also recognizes the impact of intersecting risk factors, such as gendered racism, that may occur on various levels. Our model acknowledges that LGBTQ+ people of color have often demonstrated PTG in the face of adversity. Intrapersonal factors such as cognitive flexibility, interpersonal factors such as social support, and institutional and cultural factors such as identity-related activism are identified as key contributors to resilience. We discuss practice implications, highlighting that clinicians should recognize limitations of traditional trauma frameworks and adopt culturally sensitive approaches when working with LGBTQ+ people of color. Overall, our model provides a foundation for strengths-based interventions and research, emphasizing resiliency and potential for PTG in this population.

Traffic Safety Evaluation of Downstream Intersections on Urban Expressways Based on Analytical Hierarchy Process–Matter-Element Method

This study aimed to explore the traffic safety evaluation model for downstream intersections of urban expressway exits and make up for the shortcomings in safety research on downstream intersections of urban expressway exits. We constructed a comprehensive traffic safety evaluation index system, established a traffic safety evaluation model, and divided precise safety evaluation levels using the AHP–Matter-Element analysis method, establishing a traffic safety evaluation index system consisting of eleven indicators. The effectiveness of this method was validated through an assessment of traffic safety at the intersection of Dongsheng Street and Free Road in Changchun City. A theoretical basis for improving traffic safety at downstream intersections of urban expressways and a reference for subsequent related research were provided.

A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory

A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory

Coherent control from quantum commitment probabilities.

We introduce a general definition of a quantum committor in order to clarify reaction mechanisms and facilitate control in processes where coherent effects are important. With a quantum committor, we generalize the notion of a transition state to quantum superpositions and quantify the effect of interference on the progress of the reaction. The formalism is applicable to any linear quantum master equation supporting metastability for which absorbing boundary conditions designating the reactant and product states can be applied. We use this formalism to determine the dependence of the quantum transition state on coherences in a polaritonic system and optimize the initialization state of a conical intersection model to control reactive outcomes, achieving yields of the desired state approaching 100%. In addition to providing a practical tool, the quantum committor provides a conceptual framework for understanding reactions in cases when classical intuitions fail.

Intersectional socioeconomic disparities in continuous smoking through pregnancy among pre-pregnant smokers in Sweden between 2006 and 2016

BackgroundWhile well-established associations exist between socioeconomic conditions and smoking during pregnancy (SDP), less is known about social disparities in the risk of continuous SDP. Intersectional analyses that consider multiple social factors simultaneously can offer valuable insight for planning smoking cessation interventions.MethodsWe include all 146,222 pregnancies in Sweden between 2006 and 2016 where the mother smoked at three months before pregnancy. The outcome was continuous SDP defined as self-reported smoking in the third trimester. Exposures were age, education, migration status and civil status. We examined all exposures in a mutually adjusted unidimensional analysis and in an intersectional model including 36 possible combinations. We present ORs with 95% Confidence Intervals, and the Area Under the Curve (AUC) as a measure of discriminatory accuracy (DA).ResultsIn our study, education status was the factor most strongly associated to continuous SDP among women who smoked at three months before pregnancy. In the unidimensional analysis women with low and middle education had ORs for continuous SDP of 6.92 (95%CI 6.63–7.22) and 3.06 (95%CI 2.94–3.18) respectively compared to women with high education. In the intersectional analysis, odds of continuous SDP were 17.50 (95%CI 14.56–21.03) for married women born in Sweden aged ≥ 35 years with low education, compared to the reference group of married women born in Sweden aged 25–34 with high education. AUC-values were 0.658 and 0.660 for the unidimensional and intersectional models, respectively.ConclusionThe unidimensional and intersectional analyses showed that low education status increases odds of continuous SDP but that in isolation education status is insufficient to identify the women at highest odds of continuous SDP. Interventions targeted to social groups should be preceded by intersectional analyses but further research is needed before recommending intensified smoking cessation to specific social groups.

The role of race, gender, and poverty on length of pretrial jail stays: A multi‐site analysis

AbstractResearch SummaryThe average length of jail stays is increasing despite national efforts to reduce these populations. The current study examines variations in lengths of stay, differentiating between short and long pretrial stays. Using data from two large jails in metropolitan jurisdictions, we take an intersectional perspective and model potential differences among race, gender, and residing in a high‐poverty area. In both locations, we find that Black men are the most likely to have long lengths of stay, but that length of stay varies depending on the intersection of gender, race, and neighborhood poverty.Policy Implications:The human costs of pretrial detention are paid unequally by different groups of people. Given the downstream costs of pretrial detention, this work suggests that focusing policy efforts on the barriers to release among people of color, particularly Black men, would be fruitful. There is evidence that bail reform can reduce some barriers to release without increases in crime. Further, attending to obstacles to case processing could lead to pretrial system reform. This work also highlights another area of the criminal legal system where Black males, compared to their White counterparts, are disparately affected and denotes the continuing need for intersectional perspectives on reform.

Feminist Liberation Psychotherapy: Re-Politicizing Intersectionality Toward Socially Just Clinical Practice

Mainstream psychotherapy was not developed to address the harmful effects of systemic oppression. In addition to being largely rooted in Eurocentric values and knowledge systems, mainstream psychotherapy risks maintaining an unjust status quo rather than resisting and challenging sociopolitical oppression. Consequently, there is an urgent need for feminist intersectional models of healing that address sociopolitical power. We describe a liberation psychotherapy model that was developed to reconcile intersectional forms of power and foster conscientização, critical consciousness. This liberation psychotherapy model is theoretically grounded in liberation and critical-community psychologies and empirically derived out of qualitative data that explored expert therapists’ responsible navigation of intersectional power dynamics in feminist-multicultural and humanistic-existential psychotherapies. Liberation psychotherapists aim to empower clients’ exploration of their lived experiences through decolonial testimonio that supports liberatory transformation and social justice action. We illustrate examples of how a feminist liberation psychotherapy can be applied toward anti-racism and anti-oppression in clinical practice.

Evaluating the Performance of Right Turn Lanes at Signalized Intersection Using Traffic Simulation Model

The issue of traffic congestion at signalized intersections is a concern in transportation systems due to the growth of urban areas and increased vehicular transportation. To study the evolution of congestion and evaluate the traffic performance operation of signalized intersections under problematic congested and improved conditions, the microscopic simulation VISSIM software is utilized. The objectives of this paper are to evaluate operational techniques, build a simulation model, and produce a well-calibrated and validated model. The methodology procedure to evaluate the signalized intersection involves the application of a traffic simulation model to observe real-time delays and stopped vehicles. Using the VISSIM software Version 9 to create an intersection model and redesign geometry with an exclusive right turn to enhance the intersection functionality and reduce delay. Our research focused on the Al-Nakhala signalized intersection located in the southern part of Palestine urban street in Baghdad city. This intersection is one of the busiest along the corridor due to significant land-use changes in the study area, including residential, educational, or commercial areas generating daily pressure from additional trips and saturating the absorptive capacity of the intersections. The proposed scenario of an exclusive right–turn could reduce the queue length and vehicle delay at the signalized intersection, resulting in a more efficient traffic operation. As a result of the reduction in vehicle delay, the Level of service (LOS) for the north, west, and east approaches improved from F to D. However, there was only a slight improvement for the south approach, with the LOS changing from E to F. Nonetheless, there was a noticeable reduction in queue length and vehicle delay ranging from 25% to 50%. Doi: 10.28991/CEJ-2024-010-07-010 Full Text: PDF

ANALISIS KEMACETAN SIMPANG TAK BERSINYAL JALAN PADAT KARYA – JALAN SUMATERA KOTA PRABUMULIH MENGGUNAKAN PKJI 2023

There will undoubtedly be heavy traffic in this location, especially at the intersection of Jalan Padat Karya, as Prabumulih is one of the cross-Sumatra cities with heavy traffic. The second economic hub of Prabumulih City is the Karya Intensive Road. When primary data collecting takes place in the field, descriptive and quantitative research methodology is employed. 7 days a week, Monday through Sunday, from 07.00 to 18.00. Road width measurements are made on the spot at each approach using a measuring tool. Following the collection of all primary and secondary data, analysis will be conducted utilizing PTV Vissim Version Student for traffic modeling and the 2023 PKJI Book. Intersection performance analysis using PKJI 2023 produces results traffic flow is 836.2 pcu/hour, free flow speed is 43.70 km/hour, capacity of 1468 pcu/hour, degree of saturation of 0.85. Based on the results above, the service level flow section is D. The intersection model after being given a signal changes if using APILL with 2 phases because of the level of service that occurs changed to level A.

No Man Is an Island: Resiliency Among Older African American Men Living with HIV

ABSTRACT African American men face chronic illness earlier in life and earlier death due to higher severity of illness and poor control of chronic diseases than their white male counterparts. Preexposure and post-exposure prophylaxis PrEP and PREP have improved the odds of survival among those living with HIV. However, the anti-retroviral treatments, though effective, are only as effective as early prevention and detection and in cases where patients can adhere to treatment regimens. The mean age of participants (N = 11) was 56.44 (SD = 5.175, range = 47–63). The current study employs qualitative methodology to propose an ecosystems-driven intersectional model to identify resilience and the influence of personal, social, and societal forces shaping the lives of older African American men living with HIV. Findings determine stigma, community violence, and structural barriers to care as crucial stress areas. Participants discussed self-advocacy and family as constituent elements of resilience. Several implications for practice and research emerged. Practice must design and deploy assessment instruments to include exposure to racism and violence, including emotional and structural violence. Practice must include advocacy at the micro, meso, and macro levels. Assessment must also be self-reflexive. Organizational assessment should involve internal and structural reviews of barriers to meeting client preferences.

Influence of inertial and centrifugal forces on rate and flow patterns in natural fracture networks

Fluid production from fractured rock masses readily induces fracture flow velocities of meters per second. Yet, most discrete fracture flow models treat flow as laminar creeping flow or account for inertia effects only by single-fracture constitutive relationships.This numeric simulation study investigates water flow patterns and spatial velocity variations in a natural fracture network with mm-wide open fractures, studying the transition from laminar creeping to turbulent flow. After verification with a fracture intersection model, a Reynolds-time-averaged Navier Stokes solver serves to analyse flow regimes and velocity distribution. Our results show that for fracture flow velocities greater than ∼1-cm/s, fluid inertia begins to markedly alter flow patterns and the overall velocity distribution in the network. The pressure-gradient-flow relationship therefore becomes non-linear long before the flow in straight fractures enters the weak inertia regime. This prominence of inertia effects highlights the need to improve fracture network flow models.