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This study examines public library services for people with hearing and vision impairments, conducted through website visits and an online survey from summer 2023 over 1.5 years. Surveying 250 libraries nationwide, findings reveal strong ADA awareness, with most libraries addressing physical accessibility but fewer supporting visually impaired and Deaf or Hard of Hearing patrons equally. Assistive resources availability varies significantly, from 0.8% to 83.4%, covering accessible print materials, online resources, magnifiers, and assistive technology. This study underscores specific areas for improvement in supporting these communities in U.S. public libraries.

To increase patrons’ ability to find resources, it is imperative to investigate barriers and biases in thedescriptive catalog data for inclusive collection management and development standards. This studyused a specially designed descriptive approach to gather quantitative data from 101 public librariansin Connecticut via a Qualtrics survey to identify the key variables that influence the successfulenhancement of online public access catalog (OPAC) metadata after a diversity audit of the librarymaterials. The results revealed factors that promote or impede the integration of inclusive catalogingthat reflects the diversity of the community: (1) appreciating the benefits of audit methods that arefocused on bibliographic records, (2) recognizing the need for buy-in and participation from theentire organization, and (3) stressing the useful integration of institutional and community feedbackto improve the collection’s accessibility and representation. The findings provide practical adviceto public libraries that want to satisfy the diverse demands of their user base by integrating criticalcataloging frameworks into their diversity and inclusion objectives.

Entering a counselor education program is just the first step in becoming a Professional Counselor, which includes developing a solid Professional Counselor identity and a plan for a fulfilling career. In this chapter, the authors provide a step-by-step plan for understanding key elements of becoming a Professional Counselor, beginning to work as a Professional Counselor, and contributing to the counseling profession. These activities include professional involvement, service, and scholarship as well as other meaningful pursuits for building one's successful career. The authors present a professional involvement pyramid to illustrate how Counselors can engage in professional identity development from graduate school throughout their careers. © Oxford University Press 2025. All rights reserved.

For decades, adapted physical education advocates have passionately engaged in a debate over two adjectives: adapted vs. adaptive. This article explores the reasons why one is preferred over the other and why it matters, especially to students with disabilities. © 2025 SHAPE America.

Traditional brain tumor diagnosis and classification are time-consuming and heavily reliant on radiologist expertise. The ever-growing patient population generates vast data, rendering existing methods expensive and inefficient. Deep Learning (DL) is a promising approach for developing automated systems to diagnose or segment brain tumors with high accuracy in less time. Within Deep Learning, Convolutional Neural Networks (CNNs) are potent tools for image classification tasks. This is achieved through a series of specialized layers, including convolution layers that identify patterns within images, pooling layers that summarize these patterns, fully connected layers that ultimately classify the image, and a feedforward layer to produce the output class. This study employed a CNN to classify brain tumors in T1-weighted contrast-enhanced images with various image resolutions, including 30×30, 50×50, 70×70, 100×100, and 150×150 pixels. The model successfully distinguished between three tumor types: glioma, meningioma, and pituitary. The CNN's impressive accuracy on training data reached up to 86.38% for image resolution (30×30) and 94.64% for higher resolution (150×150). This indicates its potential as a valuable tool in real-world brain tumor classification tasks. © 2025 IEEE.

The λ-fold complete 3-uniform hypergraph on v vertices has the edge multiset consisting of λ copies of each 3-element subset of its vertex set. A tight 6-cycle, denoted TC6, is a hypergraph with vertex set {a,b,c,d,e,f} and edge set {{a,b,c},{b,c,d},{c,d,e},{d,e,f},{e,f,a},{f,a,b}}. We give necessary and sufficient conditions on v for the existence of a TC6-decomposition of the λ-fold complete 3-uniform hypergraph on v vertices for any positive integer λ. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Managers often need to stay motivated and effectively motivate others. Therefore, they should rely on evidence-based interventions to effectively motivate and self-motivate. This research investigated how self-determination theory-based interventions affect employees' motivation dynamics and motivational consequences within short time frames (i.e., within an hour, within a few weeks or months) in two empirical studies. Study one focused on assessing the effectiveness of a one-day training workshop in helping to improve managers' work motivation, basic psychological needs satisfaction/frustration, subordinates' motivation, and perceptions of managers' needs-supportive/thwarting behaviors within a few weeks. Results support the effectiveness of the training, as managers were rated by their direct subordinates as having fewer needs-thwarting behaviors and reported self-improvement in needs satisfaction and frustration six weeks after completing the training program. Study two used the mean and covariance structure analysis and tested the impact of three types of basic psychological needs-supportive/thwarting and control conditions (3 × 2 × 1 factorial design) on participants' situational motivation, vitality, and general self-efficacy for playing online word games within 30 min. Multi-group confirmatory factor analysis (CFA) confirmed the scalar measurement invariance, then latent group mean comparison results show consistently lower controlled motivation across the experimental conditions. During a quick online working scenario, the theory-based momentary intervention effectively changed situational extrinsic self-regulation in participants. Supplementary structural equation modeling (SEM; cross-sectional) analyses using experience samples supported the indirect dual-path model from basic needs satisfaction to vitality and general efficacy via situational motivation. We discussed the theoretical implications of the temporal properties of work motivation, the practical implications for employee training, and the limitations.

Practical wisdom is the intellectual virtue relating to the ability to fix ends and discern in a concrete circumstance how to achieve those ends. It is cultivated through engagement with experience rather than book learning. However, a whole matrix of convergent technologies, such as headsets, haptic suits, AI-driven chatbots, and extended realities, such as augmented and virtual reality (AR/VR), creates new conditions for training practical wisdom. How can moral educators facilitate practical wisdom in this extended reality (XR)? Drawing on Nussbaum’s account of phronesis, we contend the job of moral education in XR is mostly about ensuring students’ critical engagement. We suggest AI assistants can contribute to this task, so long as these technologies and the people using them manifest Socratic humility ensuring that no single interaction serves as an ‘oracle of truth’, leaving critical thinking and judgment firmly in the hands of the student.

Sexual minority women (SMW) are a resilient yet vulnerable population who may experience poor psychosocial outcomes due to minority stress associated with their marginalized status and traumatic experiences resulting from interpersonal and structural violence. When SMW are incarcerated, the trauma of this experience can exacerbate existing mental health challenges. Self-concept is a key measure of mental health that is associated with increased self-efficacy and positive psychosocial outcomes. This analysis explores the ways in which incarceration impacts the self-concept of SMW. Secondary data analysis of three qualitative interviews with formerly incarcerated SMW was conducted. Specifically, Gilligan’s Listening Guide was used to create “I poems” that articulate the participants’ narratives and contrapuntal voices. These poems were then analyzed to build knowledge about participants’ self-concept. This analysis informs our understandings of self-concept among SMW, violence against women, the vulnerability of binary constructs, and the ways in which people negotiate past, present and future selves. The findings can inform interventions that seek to mitigate the psychosocial risks faced by SMW and formerly incarcerated people and improve outcomes for these populations.

Abstract: The purpose of this study was to explore how students of different generations perceived presence and caring behaviors by faculty in online Registered Nurse to Bachelor of Science in Nursing programs. Results showed that millennials reported statistically significant higher perceptions of social presence when compared with nonmillennials. Although generation was not a predictor of caring, all presence subscales were positively and significantly correlated with the total caring score. Teaching presence was a significant predictor of students' perceptions of caring in online courses.

Abstract Metaheuristic methods have demonstrated their utility in tackling global optimization problems with and without constraints. However, existing state-of-the-art (SOTA) algorithms often suffer from limitations such as premature convergence, inefficient exploration-exploitation balance, and poor adaptability to complex discrete optimization problems like Team Formation (TF). The Golden Eagle Optimizer (GEO) algorithm is a promising metaheuristic that addresses some of these challenges by effectively managing its hunting spiral motion using two control parameters: cruise (exploration) and attack (exploitation). Despite its strengths, the standard GEO algorithm requires modifications to handle the discrete and multi-objective nature of the TF problem effectively. This paper proposes an amended version of GEO, called AGEO, which integrates specialized operators to enhance its performance in TF scenarios. A skillful TF aims to form teams of experts with complementary skills in social networks (SN) while optimizing multiple objectives, including minimizing communication costs, maximizing the similarity score between team members, and achieving minimal team cardinality. AGEO preserves GEO’s powerful exploitation and exploration mechanisms while introducing tailored operator strategies to overcome the challenges inherent in TF. The AGEO undergoes testing on several well-established benchmark datasets, including Universiti Malaysia Pahang (UMP), Internet Movie Database (IMDB), Association for Computing Machinery (ACM), and Database Systems & Logic Programming (DBLP). Additionally, a comparative study against SOTA metaheuristic algorithms such as Particle Swarm Optimization (PSO), Butterfly Optimization Algorithm (BOA), Crow Search Algorithm (CSA), and Jaya Algorithm demonstrates AGEO’s superior performance in forming highly optimized teams with the least communication cost, lowest team cardinality, and highest similarity score.

Background: Numerous barriers to moderate to vigorous physical activity exist for youths with type 1 diabetes (T1D). The virtual exercise games for youth with T1D (ExerT1D) intervention implement synchronous support of moderate to vigorous physical activity including T1D peers and role models. Objective: This study aims to understand the acceptability of this intervention to participants. Methods: We conducted postprogram, semistructured, televideo interviews with participating youths to elicit perspectives on the acceptability of the intervention and experience with the program. Two coders independently reviewed and analyzed each transcript using a coding scheme developed inductively by senior researchers. Discrepancies were resolved by team discussion, and multiple codes were grouped together to produce 4 main thematic areas. Results: All 15 participants provided interviews (aged 14-19 years; 2 nonbinary, 6 females; median hemoglobin A1c level of 7.8% (IQR 7.4%-11.2%), 5 with a hemoglobin A1c level of ≥10%). Qualitative data revealed four themes: (1) motivation to engage in physical activity (PA)—improving their physical capabilities and stabilizing glucose levels were cited as motivation for PA and challenges of living with T1D were cited as PA barriers; (2) experience with and motivation to manage diabetes while engaging in PA—participants provided details of accommodating the inherent uncertainty or limitations of PA with diabetes and sometimes preparing for PA involved psychological and motivational adjustments while some relayed feelings of avoidance; (3) peer support encouraged engagement with the intervention—participants appreciated the peer aspects of components of ExerT1D and participants’ reflections of the facilitated group experience highlight many benefits of a small-group virtual program; and (4) improvements in PA and diabetes self-management efficacy—all participants credited the program with improving or at least raising awareness of T1D management skills. Conclusions: Our virtual PA intervention using an active video game and discussion component provided adolescents with T1D the confidence and peer support to engage in PA, improved awareness of diabetes-specific tasks to prepare for exercise, and improved understanding of the effect of PA on glucose levels. Engaging youths with a virtual video game intervention is a viable approach to overcome barriers to PA for adolescents with T1D. Trial Registration: ClinicalTrials.gov NCT05163912; https://clinicaltrials.gov/ct2/show/NCT05163912