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Background: There is a growing body of literature that indicates positive outcomes of group treatment approaches to intervention for communication difficulties in chronic traumatic brain injury (TBI). The published research to date examines face‐to‐face group intervention. Aim: This study draws on one of these approaches, 'Improving Natural Social Interaction: Group reHabilitation after Traumatic brain injury' (INSIGHT), and examines the adaptation of this program to a virtual setting. The principles underlying the program, which involved providing an authentic contextualised and natural environment for group interactions and enhancing opportunities for identity expression, were maintained. Methods & Procedures: Six participants with mild to severe TBI and cognitive communication difficulties participated in an 8‐week pilot program of the virtual INSIGHT program. Goal Attainment Scaling (GAS) scores completed over the course of the intervention served as the primary outcome measure. Secondary outcomes measures included The Repeatable Battery for the Assessment of Neuropsychological Status Update, The Awareness of Social Inference Test‐Revised, the La Trobe Communication Questionnaire and the Satisfaction with Life Scale. Outcomes & Results: A mixed multilevel analysis revealed significant improvement in GAS scores. A Wilcoxon signed rank test revealed no significant changes in secondary measures. Conclusions & Implications: There is a growing potential for this group treatment approach, in an online medium, and progress towards individualised goals was clear. The data have implications for examining the assessment measures typically used to document functional outcomes in clinical intervention. Future directions indicate a need to pursue more ecologically valid assessment methods. What this paper adds: What is already known on the subject: Recent literature has focused on the benefits of group intervention for cognitive communication diffuclties after traumatic brain injury (TBI). However, research to date examines only face‐to‐face group rehabilitation. As there has been a demand for a shift in the way we communicate worldwide, we must make adaptations to current intervention procedures to continue to serve individuals with diverse communication needs. What this paper adds to existing knowledge: This study contributes new information about the feasibility of a virtual communication skills group for individuals with TBI. This virtual INSIGHT (Improving Natural Social Interaction: Group ehabilitation after Traumatic brain injury) group intervention facilitates progress towards collaboratively set communication goals and the online setting has the potential to increase the accessibility of these services. What are the potential or actual clinical implications of this work?: Progress towards cognitive and social communication goals can be facilitated by an online group intervention. However, this progress was not correlated with scores on standard assessments of cognitive communication, social communication and quality of life. This has implications for the evaluation of the assessments typically used and their ecological validity and applicability to the communication context. [ABSTRACT FROM AUTHOR]

Social workers have long been active in social and political organizing to ensure a living wage. Yet recent social work research largely neglects efforts to raise wages and effective means for organizing to do so. This paper draws on in-depth interviews from a longitudinal study of low-wage hospital workers who formed a union and negotiated annual, incremental wage increases to achieve a $15 minimum wage floor to understand their perceptions of the effects of the initial wage increase. Results show workers have a wide spectrum of perceptions, with many feeling no effect or even a negative effect due to losses in public benefits. A visualization used to aid interpretation of results identifies race and family structure as salient factors, pointing to the role of structural discrimination in experiences and perceptions of wage increases. Given that this workplace, like many other employers and localities, has implemented a $15 minimum wage through incremental raises across time, it is important that social workers be aware of the experiences of workers at each stage of this process. This study examines the impact of the first raise, establishing a framework from which future research can examine how individuals' perceptions and experiences develop over time. [ABSTRACT FROM AUTHOR]

Objectives: The objectives of this paper is to conduct a bibliometric analysis to examine the research status and development trend of anterior cruciate ligament injury and reconstruction in children and adolescents over the past 20 years. Design: Descriptive Research. Methods: This study obtained information regarding studies on Anterior Cruciate Ligament Reconstruction in Children and Adolescents from the Web of Science Core Collection database. Visual and bibliometric analysis were conducted using VOSviewer, Origin 2022, Pajek64 5.18and Excel 2019. These analytic tools facilitated the analysis of various aspects, including countries/regions, institutions, authors, journals and keywords related to the research. Results: From 2003 to 2023, a total of 1328 articles were retrieved in WOS, and 637 articles were selected by two authors. The most productive institutions are Childrens Hosp Philadelphia, Kocher, ms. Their articles have the highest number of publications and citations. The American journal of sports medicine is the most frequently cited journal for articles on anterior cruciate ligament reconstruction in children and adolescents. The most common keywords used in these articles were "anterior cruciate ligament reconstruction", "injury, children, adolescent", and "skeletally immature patients". Conclusions: This study provides valuable insights into the research focus of anterior cruciate ligament reconstruction in children and adolescents. In recent years, there has been significant attention paid to areas of "the return to sport, re-repture rate and functional recovery after anterior cruciate ligament reconstruction" in this specific population. These aspects have emerged as key directions for future research in this field. [ABSTRACT FROM AUTHOR]

The lives of caregivers can be deeply impacted by having a child with a developmental disability (DD). To offset those impacts, caregivers may engage in accommodations, or strategies to bolster everyday functioning. The nature and extent of these accommodations can provide insight into how the family is doing and what supports are needed from a family-centered perspective. This paper presents the development and preliminary validation of the Accommodations & Impact Scale for Developmental Disabilities (AISDD). The AISDD is a rating scale that measures day-to-day accommodations and impacts of raising a child with a DD. A sample of 407 caregivers of youth with DDs (Mage = 11.7 years; 63% males) completed the AISDD, along with measures of caregiver strain, daily challenges, child adaptive behavior, and behavior and emotional regulation. The AISDD is a unidimensional, 19-item scale with excellent internal consistency (ordinal alpha =.93) and test–retest (ICC =.95) reliability. Scores were normally distributed and sensitive to age (r = −.19), diagnosis (ASD + ID > ASD > ID), adaptive functioning (r = −.35), and challenging behaviors (r =.57). Finally, the AISDD showed excellent convergent validity with similar measures of accommodations and impacts. These findings support the use of the AISDD as a valid and reliable tool for measuring accommodations among caregivers of individuals with DDs. This measure shows promise in its ability to identify which families may need additional support for their children. [ABSTRACT FROM AUTHOR]

Prostate cancer is the most common cancer after non-melanoma skin cancer and the second leading cause of cancer deaths in US men. Its incidence and mortality rates vary substantially across geographical regions and over time, with large disparities by race, geographic regions (i.e., Appalachia), among others. The widely used Cox proportional hazards model is usually not applicable in such scenarios owing to the violation of the proportional hazards assumption. In this paper, we fit Bayesian accelerated failure time models for the analysis of prostate cancer survival and take dependent spatial structures and temporal information into account by incorporating random effects with multivariate conditional autoregressive priors. In particular, we relax the proportional hazards assumption, consider flexible frailty structures in space and time, and also explore strategies for handling the temporal variable. The parameter estimation and inference are based on a Monte Carlo Markov chain technique under a Bayesian framework. The deviance information criterion is used to check goodness of fit and to select the best candidate model. Extensive simulations are performed to examine and compare the performances of models in different contexts. Finally, we illustrate our approach by using the 2004-2014 Pennsylvania Prostate Cancer Registry data to explore spatial-temporal heterogeneity in overall survival and identify significant risk factors. [ABSTRACT FROM AUTHOR]

Background: Recruiting large cohorts efficiently can speed the translation of findings into care across a range of scientific disciplines and medical specialties. Recruitment can be hampered by factors such as financial barriers, logistical concerns, and lack of resources for patients and clinicians. These and other challenges can lead to underrepresentation in groups such as rural residents and racial and ethnic minorities. Here we discuss the implementation of various recruitment strategies for enrolling participants into a large, prospective cohort study, assessing the need for adaptations and making them in real-time, while maintaining high adherence to the protocol and high participant satisfaction. Methods: While conducting a large, prospective trial of a multi-cancer early detection blood test at Geisinger, an integrated health system in central Pennsylvania, we monitored recruitment progress, adherence to the protocol, and participants' satisfaction. Tracking mechanisms such as paper records, electronic health records, research databases, dashboards, and electronic files were utilized to measure each outcome. We then reviewed study procedures and timelines to list the implementation strategies that were used to address barriers to recruitment, protocol adherence and participant satisfaction. Results: Adaptations to methods that contributed to achieving the enrollment goal included offering multiple recruitment options, adopting group consenting, improving visit convenience, increasing the use of electronic capture and the tracking of data and source documents, staffing optimization via leveraging resources external to the study team when appropriate, and integrating the disclosure of study results into routine clinical care without adding unfunded work for clinicians. We maintained high protocol adherence and positive participant experience as exhibited by a very low rate of protocol deviations and participant complaints. Conclusion: Recruiting rapidly for large studies – and thereby facilitating clinical translation – requires a nimble, creative approach that marshals available resources and changes course according to data. Planning a rigorous assessment of a study's implementation outcomes prior to study recruitment can further ground study adaptations and facilitate translation into practice. This can be accomplished by proactively and continuously assessing and revising implementation strategies. [ABSTRACT FROM AUTHOR]

Physical activity is known to contribute to good health, but most adults in the United States do not meet recommended physical activity guidelines. Social incentive interventions that leverage insights from behavioral economics have increased physical activity in short-term trials, but there is limited evidence of their effectiveness in community settings or their long-term effectiveness. The STEP Together study is a Hybrid Type 1 effectiveness-implementation study to address these evidence and implementation gaps. This paper describes the process of adapting study procedures prior to the effectiveness trial using Community Engagement (CE) Studios, facilitated meetings during which community members provide feedback on research projects. Six CE Studios were held with community members from the priority population. They were conducted remotely because of the COVID-19 pandemic. Fifteen liaisons representing 13 community organizations and 21 community members from different neighborhoods in Philadelphia participated. Three elements of the study design were modified based on feedback from the CE Studios: lowering the age requirement for an 'older adult', clarifying the definition of family members to include second-degree relatives, and adding a 6-month survey. These adaptations will improve the fit of the effectiveness trial to the local context and improve participant engagement and retention. CE Studios can be used to adapt intervention strategies and other aspects of study design during hybrid implementation-effectiveness trials. This approach was successfully used with remote online participation due to the COVID-19 pandemic and serves as a model for future community-engaged implementation research. [ABSTRACT FROM AUTHOR]

Batteries participating in frequency regulation (FR) markets earn revenue at the expense of longevity. The declining reward prices and highly stochastic automatic generation control (AGC) signals with short update intervals necessitate research into aging-aware real-time FR strategies for the battery. To address these challenges, this paper develops an online battery dispatch strategy based on Lyapunov optimization, accounting for Ah-throughput, C-rate, and temperature aging effects to enhance the service profitability of the battery. The strategy operates independently of probabilistic data from random processes, with its optimality gap inversely correlated with the control parameter. A systematic and intuitive approach is established for constructing virtual queues and determining the maximum feasible parameter. The proposed method is validated through extensive numerical simulations using actual lithium-ion battery aging data, along with year-long regulation signal and market price data from Pennsylvania-New Jersey-Maryland (PJM). Results show that the strategy can extend the battery lifespan by 83.41% and increase the net present value (NPV) by 172.67% compared to the conventional Ah-based strategy. • An aging-aware online frequency regulation strategy for profit-driven batteries. • Critical aging factors Ah-throughput, C-rate, and temperature are considered. • Lyapunov optimization enables the strategy not reliant on future forecasts. • A systematic method is designed to determine virtual queues and control parameter. [ABSTRACT FROM AUTHOR]

• Paper estimates a CMF for high friction surface treatment (HFST) applied to horizontal curves on undivided two-lane roads. • Propensity score matching is incorporated into EB before-after methodology to select more appropriate reference group. • Results indicate significant reductions in crash frequency (of all types considered) when applying HFST. Horizontal curves are locations that, as a result of the changing alignment, may be a contributing factor in roadway departure crashes. One low-cost countermeasure to mitigate crashes at these locations is the installation of the high friction surface treatment (HFST), which increases roadway friction and is intended to help keep drivers on the roadway when traversing a horizontal curve. This treatment has been implemented at numerous curves in Pennsylvania, but the overall safety effectiveness is not known. The purpose of this study is to estimate a suite of Crash Modification Factors (CMFs) for HFST applied to curve sections of undivided two-lane roadways. A novel combination of the empirical Bayes observational before-after study design and propensity score matching was used to estimate CMFs for multiple crash types, crash severities, and roadway settings (urban and rural). Propensity score matching was implemented to identify the most appropriate reference group to use within the empirical Bayes methodology. The results indicate that the installation of HFST is associated with a statistically significant decrease in all crash types and severities considered. [ABSTRACT FROM AUTHOR]

Despite significant efforts to improve access to medications for opioid use disorder (MOUD), uptake remains low relative to the scope of the problem in the United States. A growing body of quantitative and qualitative research has documented consistent barriers to MOUD treatment access and retention, at the level of individuals, institutions, and society at large. Stigma - surrounding both people who use opioids (PWUO) and treatment using MOUD – is among the most-cited barriers by patients and providers alike, yet few studies have examined provider-based stigma specifically, or considered its interaction with other impediments to OUD care. This paper employs a qualitative approach to the analysis of provider-based stigma among professionals involved in the treatment or supervision of individuals with OUD. We conducted and analyzed interviews with 19 professionals as part of a larger mixed methods study on stigma among substance use treatment providers and court personnel in Pennsylvania. Beyond capturing providers' perceptions of PWUO and MOUD, the authors asked participants to describe barriers to recovery, and the effective delivery of care within this population. Interviewees enumerated multiple entrenched barriers that sometimes operated at different levels, such as criminal-legal involvement, which weakened PWUO's social networks and employment prospects, while undermining providers' attempts at continuity of care; moreover, participants cited the "War on Drugs" as an overarching impediment to effective substance use treatment, not least for its role in perpetuating stigma against PWUO. Interestingly, while an overwhelming majority of participants named stigma as a barrier to treatment at every level, most also articulated stigmatizing beliefs around PWUO. Namely, providers evoked one element of stigma – blameworthiness – in their contention that many PWUO are inadequately motivated to recover. In addition to adding further complexity to MOUD barriers research, this study troubles the notion that professional training and education on the disease model of addiction serve to eradicate stigma. • Uptake of medications for opioid use disorder remains low despite efforts to expand access. • Individual, institutional, and systemic barriers to MOUD interact to reduce usage. • Treatment providers identify stigma as a primary barrier to MOUD effectiveness at all levels. • Many treatment providers also express conceptions of people who use opioids as "blameworthy." [ABSTRACT FROM AUTHOR]

The main challenge in addressing constrained multi-objective optimization problems (CMOPs) lies in achieving a balance among convergence, diversity, and feasibility. To address this issue, this paper proposes a constrained multi-objective evolutionary algorithm with Pareto estimation via neural network named CMOEA-PeNN. In order to exploit and explore the decision space, the proposed algorithm employs a dual-population mechanism, which is trained with a self-organizing map (SOM). Firstly, the population distribution structure in decision space is mapped to objective space while preserving neighborhood information, and then the neuron weight is utilized to estimate the Pareto front (PF). Secondly, a novel approach is devised to preserve the feasibility of the population and enhance the estimation of the Pareto front by SOM. The achievement scalarizing function (ASF) is employed to choose promising solutions. This strategy could guide the population toward the optimal solution while exploring the small feasible regions. Finally, the performance of CMOEA-PeNN is compared with five state-of-the-art constrained multi-objective evolutionary algorithms (CMOEAs) on three widely used benchmark problems and a real-world problem. The experimental results show that CMOEA-PeNN could archive competitive performance in solving CMOPs. [ABSTRACT FROM AUTHOR]