Athens Technical College

Purpose: This paper aims to explore the multifaceted role of leadership in determining the success of complex construction projects. It synthesizes a select body of academic literature to analyze how specific leadership styles, soft skills, and technological proficiencies influence key project outcomes. Methodology: A qualitative narrative synthesis was conducted based on 12 authoritative sources, including academic journals and industry reports. The study analyzes documented case studies of both project success (London 2012 Olympics) and failure (Boston Big Dig) to illustrate the practical implications of leadership theory. Findings: The findings suggest that no single leadership style is universally effective. Instead, a hybrid approach that integrates the inspirational, team-oriented qualities of transformational leadership with the structured, goal-driven aspects of transactional management is most impactful. Soft skills like emotional intelligence were found to be critical for fostering team cohesion and resolving conflict, particularly in multicultural environments. The rise of digital tools like Building Information Modeling (BIM) is also reshaping leadership by enabling more data-informed decision-making. Originality/Value: This paper provides a conceptual framework that bridges the gap between traditional leadership theory and the unique demands of the modern construction industry. It offers a new perspective on how future construction leaders must cultivate a blend of human-centric skills and technological expertise to navigate the challenges of the 21st century.

This article provides a contemporary and systematic review of the research on the prevalence of intimate partner violence (IPV) in the last decade and extends the work of Carney and Barner (2012). Under review are emotional abuse and control, sexual coercion, and stalking, along with a separate examination of when these IPV subsets are combined with physical assaults on intimate partners. In the sections that follow, each subtopic is operationally defined using the same definitions employed in the original review (Carney & Barner, 2012) and which are common to the social science research, and tabular and narrative data on the incidence and prevalence of each subtopic and the combined category are presented. The studies sampled for this review are further categorized into those that study large populations, smaller communities, university- or school-based samples, clinical samples, forensic or legal samples, and, when possible, samples of particularly relevant subpopulations. The focus of this article is on prevalence, but this background explains the difficulties with clearly capturing the prevalence of physical abuse, psychological abuse, sexual coercion, and stalking, both in the reporting due to differing methodologies, potential overrepresentation among low socioeconomic communities and communities of color, and the reluctance to capture IPV perpetrated by women. The article ends with conclusions that can be drawn from the review and the potential implications for research, practice, and IPV scholarship.

BackgroundDespite advances in treatments, 30% to 50% of stage III‐IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after treatment. The Big Data to Decide (BD2Decide) project aimed to build a database for prognostic prediction modeling.MethodsStage III‐IV HNSCC patients with locoregionally advanced HNSCC treated with curative intent (1537) were included. Whole transcriptomics and radiomics analyses were performed using pretreatment tumor samples and computed tomography/magnetic resonance imaging scans, respectively.ResultsThe entire cohort was composed of 71% male (1097)and 29% female (440): oral cavity (429, 28%), oropharynx (624, 41%), larynx (314, 20%), and hypopharynx (170, 11%); median follow‐up 50.5 months. Transcriptomics and imaging data were available for 1284 (83%) and 1239 (80%) cases, respectively; 1047 (68%) patients shared both.ConclusionsThis annotated database represents the HNSCC largest available repository and will enable to develop/validate a decision support system integrating multiscale data to explore through classical and machine learning models their prognostic role.

The relationship between academic affairs and student affairs units in higher education settings has traditionally and historically been troubled by the divergent understandings of each other's institutional role and the systematic division of labor between the two. However, for a variety of reasons, not the least of which is a desire to substantiate student learning across the institution, the roles of these units have begun to blur. This has led to increased collaboration between the units and increased research on such collaborations. This research project explores the nature of collaboration between academic affairs and student affairs in the community college setting, an area frequently left out of the collaboration conversation. Through analyzing the words of chief officers of these two units, the findings of this qualitative study indicate that community colleges have a unique opportunity to foster collaborations that focus on student learning. Based on these unique factors, the authors offer suggestions for how other institutions can nurture collaborations in their own settings.

It has long been speculated that the spontaneous symmetry breaking (SSB) of SO(D) occurs in matrix models obtained by dimensionally reducing super Yang-Mills theory in D=6,10 dimensions. In particular, the D=10 case corresponds to the IIB matrix model, which was proposed as a nonperturbative formulation of superstring theory, and the SSB may correspond to the dynamical generation of four-dimensional space-time. Recently, it has been shown by using the Gaussian expansion method that the SSB indeed occurs for D=6 and D=10, and interesting nature of the SSB common to both cases has been suggested. Here we study the same issue from first principles by a Monte Carlo method in the D=6 case. In spite of a severe complex-action problem, the factorization method enables us to obtain various quantities associated with the SSB, which turn out to be consistent with the previous results obtained by the Gaussian expansion method. This also demonstrates the usefulness of the factorization method as a general approach to systems with the complex-action problem or the sign problem.

The goal of this qualitative 2-year study was to examine the resilience building process in four novice secondary science teachers and its link to teacher retention. To achieve the research goal, a resilience framework was established. Three factors were instrumental in creating the framework. The first focused on stressors and protective factors in the lives of novice secondary science teachers and provided direction and goals for the research. Second, a case study was developed for each of the four teachers participating in the research in order to emphasize the detailed analysis of factors linked to resilience. Finally, cross-case analysis was employed to identify similarities and differences and provide insight into issues concerning the resilience process. Results of this study suggest that the interaction between stressors and protective factors acts as a primary force in the resilience process and stimulate responses to help counteract negative effects of resulting stress. Therefore, it can be reasoned that resilience can be fostered in novice teachers as a means to encourage teacher retention.

The matrix model formulation of superstring theory offers the possibility to understand the appearance of 4d space-time from 10d as a consequence of spontaneous breaking of the SO(10) symmetry. Monte Carlo studies of this issue is technically difficult due to the so-called sign problem. We present a practical solution to this problem generalizing the factorization method proposed originally by two of the authors (K.N.A. and J.N.). Explicit Monte Carlo calculations and large-N extrapolations are performed in a simpler matrix model with similar properties, and reproduce quantitative results obtained previously by the Gaussian expansion method. Our results also confirm that the spontaneous symmetry breaking indeed occurs due to the phase of the fermion determinant, which vanishes for collapsed configurations. We clarify various generic features of this approach, which would be useful in applying it to other statistical systems with the sign problem.