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Papillomavirus-induced oncogenesis : bridging molecular mechanisms, diagnostics, and global prevention strategies
No full textMachine learning-based failure prediction in United States of America lobbying firms : the role of director networks
No full textThe role of directors and their associated social networks is critical in determining corporate failure, particularly within lobbying firms in the United States. However, predicting corporate failure in increasingly complex organizational structures remains an underexplored challenge. Using firm-level director data from the United States between 2005 and 2018, we apply both traditional machine learning models – Logistic Regression, Random Forest, and Support Vector Machines (SVM) – and more recent tabular deep learning approaches, including TabTransformer and Feature Tokenizer Transformer, to predict and uncover complex non-linear relationships between director network attributes and firm failure. Our results demonstrate that corporate failure can be accurately predicted based on director network characteristics, achieving a mean performance of 99.98% Area Under the Receiver Operating Characteristic Curve (AUC-ROC), 85.10% Precision, and 80.23% Recall using a stratified 5-fold cross-validation procedure with a weighted averaging strategy. Furthermore, network-derived attributes such as centrality, betweenness, and remuneration significantly influence failure risk in lobbying firms. These findings contribute to the management literature by highlighting the predictive value of director networks in corporate failure and offer practical insights for directors, engineering practitioners, and policymakers seeking to mitigate organizational risk
The effects of personal brand equity on hiring recommendation : why, how, when…?
No full textAlthough previous literature has identified personal branding as an important concept in marketing, little is understood about the effects of personal brand equity (PBE) during the personnel selection process. To address this research gap, we performed two experimental studies and one field study in the domains of sales and engineering to examine the effect of candidates’ PBE on hiring outcomes through recruiters’ perceptions. This research draws upon signaling theory and an integration of the accessibility-diagnosticity model with the competence-based view of careers and regards PBE as the interpreted outcome of personal branding signals, reflecting how recruiters perceive and evaluate the value conveyed by job candidates. We unveil that candidates’ PBE positively predicts hiring recommendation and that credibility mediates this relationship. Moreover, job hierarchy and objective job qualifications appear to negatively moderate the relationship between candidates’ PBE and hiring recommendation. Our findings also indicate that objective job qualifications negatively interact with candidates’ PBE in predicting their credibility. The present research contributes to personal branding and selection research by offering novel insights into the role of PBE during the interview process, thereby providing guidance for job candidates and practitioners
Design and kinematic analysis of a robotic manipulator for controlling fire monitors
No full textConventional firefighting methods expose personnel to significant risks, particularly in hazardous environments. Robotic systems, specifically manipulators for controlling fire monitors, offer a safer and more efficient alternative by enabling precise delivery of extinguishing agents. However, their effective deployment necessitates a thorough understanding of their kinematic capabilities and limitations. Purpose. This research aims to conduct a comprehensive design and kinematic analysis of a five-degree-of-freedom (5-DOF) articulated robotic manipulator tailored for controlling fire monitors. The study focuses on establishing its foundational kinematic model, evaluating its workspace, and verifying its motion capabilities to lay the groundwork for advanced robotic firefighting systems. Methodology. The research involved the conceptual design of an all-revolute joint manipulator. The kinematic analysis was performed using the matrix transformation method to derive the forward kinematic equations. These equations define the position and orientation of the end-effector (fire monitor nozzle) based on joint variables. Numerical simulations of the gripper’s motion under various predefined joint input scenarios were conducted using Mathematica software to verify the derived equations. Furthermore, the manipulator’s operational workspace and motion were simulated and visualized using SolidWorks CAD/CAE software. Findings (results). The kinematic analysis successfully yielded the transformation matrices and explicit equations for the end-effector’s coordinates. Numerical simulations in Mathematica validated the correctness of these motion equations, demonstrating predictable trajectory generation for different joint inputs. The SolidWorks simulation visually confirmed the manipulator’s kinematic behavior and defined its operational workspace, suitable for targeted fire suppression tasks. The 5-DOF configuration was shown to provide substantial maneuverability for aiming a fire monitor. Originality (novelty). The work provides a detailed kinematic characterization and simulation-based validation of a specific 5-DOF manipulator configuration intended for fire monitor control. While building on established robotic principles, its novelty lies in the focused application and detailed kinematic groundwork for this specific firefighting task, bridging the gap between general manipulator theory and the practical requirements of fire monitor operation. It offers a foundational model that can be leveraged for more complex, dynamic, and control system designs in firefighting robotics. Practical value. The research provides essential kinematic data and a validated model crucial for the design and development of effective robotic firefighting systems. The findings can inform the engineering of manipulators capable of precise and agile fire monitor control, leading to improved firefighter safety, enhanced operational efficiency in hazardous environments, and more effective fire suppression through accurate delivery of extinguishing agents. Scopes of further investigations. Future research will focus on dynamic modeling to account for link masses, inertias, and jet reaction forces; development of robust control systems; integration with perception systems (e.g., thermal cameras) for autonomous operation; coupling with jet trajectory models for enhanced accuracy; structural optimization for harsh environments; and experimental validation with a physical prototype
Knowledge brokering inside the policymaking process : an analysis of evidence use inside a UK government department
Full text linkKnowledge brokering plays an important role in the evidence-to-policy system, but little is known about whether and how it occurs within government departments. Using empirical evidence from one UK government department, this article analyses how knowledge brokering takes place inside the policy making process and what shapes brokering activities
Experimental investigation on the application of cold-mist direct evaporative cooling in data centers
No full textOptimizing power control in cellular and cell-free massive MIMO systems : a SVM/RBF approach
Full text linkThis paper explores the optimization of power control in both cellular (CL) and cell-free (CF) massive MIMO (mMIMO) systems using a hybrid approach combining support vector machine (SVM) and radial basis function (RBF). The traditional WMMSE method, while effective, exhibits high computational complexity and suboptimal convergence in large-scale systems. The proposed SVM/RBF method addresses these challenges by significantly reducing the computational overhead, as detailed in the computational complexity analysis in Section IV. To address these challenges, we propose an SVM/RBF-based method for power control (PC) that leverages SVM regression to predict optimal PC vectors and utilizes RBF kernels to enhance prediction accuracy by transforming input features into higher-dimensional spaces. The proposed method dynamically adjusts transmission power levels of user devices based on real-time channel conditions, thereby optimizing resource utilization and system performance. Simulation results demonstrate that the SVM/RBF approach significantly outperforms the WMMSE method in both spectral efficiency and computational efficiency. In terms of Area Under the Curve (AUC) metric, the SVM-RBF method shows a substantial performance gain with AUC values of 24,931 for CL-mMIMO systems compared to 12,698 for WMMSE. Additionally, the SVM-RBF method reduces execution time by approximately 30% in both CL and CF-mMIMO scenarios. This paper confirms that the SVM/RBF method offers a robust, efficient, and scalable solution for optimizing PC in complex wireless communication environments
Board interlocks and entry mode selection : the interplay between "experiential learning" and "vicarious learning"
No full textPredictors of re-referral to children’s social care services : an analysis of the national datasets for England
No full text11 topics among 7,591 employability research abstracts (1942–2024) : a structural topic model and call for interdisciplinary perspectives
No full textThe goal of this research was to empirically evaluate what topics can be discerned in employability scholarship. We sought to illustrate the diverse specialised expert knowledge across the full multidisciplinary breadth of employability literature, not only in the two predominant fields of graduate employability and career development. Recent calls for greater integration between graduate employability and career development scholarships are warranted. But this study demonstrates that employability is studied in a much broader range of disciplines than just those two areas. This research argues that future scholarship should foster the advancement and application of research insights across the full breadth of disciplines, education and training systems and socio-cultural contexts. By doing so, the often-noted fragmentation and fuzziness in the employability literature will begin to be addressed