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Investigating Job Satisfaction as a Mediator in the Relationship Between Digital Transformational Leadership and Employee Retention in Public Sector Organizations
No full textThis study explores the relationship between Digital Transformational Leadership (DTL) and Employee Retention (ER), while also investigating the role of Job Satisfaction (JS) as a mediating factor in this relationship. Much disruption and change have resulted from political unrest, economic uncertainty, and digital development. Therefore, change management continues to be a major concern for HR directors and is currently a popular trend in the industry related to policy implementation in the public sector organizations in Egypt. Employees are becoming less agile to adapt to change and administrative efficiency is at stake. Prioritizing employee job satisfaction to align with the latest theories related to Behavioral Economics where employees’ decision making aligns with both policy implementation of digital transformation in leadership strategies and employee retention enhances the originality of the research. The study\u27s technique methodology is convergent mixed methods. The sample included employees from 10 companies that produced military products in Egypt (following the Military Production Ministry) made up the sample, in addition, 200 HR managers and staff members working with technology in the chosen companies were the focus of this study. Regression analysis, correlation, and the structural equation module are statistical analytical tools that apply SPSS. This study demonstrated that the relationship between Digital Transformational Leadership and Employee Retention is mediated by Job Satisfaction. Moreover, it endeavors to develop and validate a framework that underscores the significance of Job Satisfaction (JS) in enhancing employee performance within the context of Digital Transformational Leadership (DTL) and Employee Retention (ER) in the workplace
Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic‐Assisted System for Neurosurgery
No full textBackground: Neurosurgery demands high precision, and robotic‐assisted systems are increasingly employed to enhance surgical outcomes. This study focuses on a hybrid robotic‐assisted system for neurosurgery, addressing forward and inverse kinematics, Jacobian matrices, and system singularities.
Methods: The system is simulated using MATLAB/Simscape Multibody to achieve accurate kinematic and dynamic representations. An inverse kinematics framework was developed for generating and validating a circular trajectory at the end‐ effector tip. Two control strategies are compared: traditional active joint PID control and combined trajectory feedback plus feedforward control.
Results: The combined control strategy significantly improves performance, reducing the maximum absolute error of each output by an average of 46.5% and the mean square error by 50.31% under optimal conditions.
Conclusion: The findings highlight the potential of trajectory feedback and feedforward control to enhance the precision and reliability of robotic‐assisted neurosurgical procedure
Neurophisology Biosignals of Cognitive Training Classification in Virtual Reality Environment Using Deep Learning Model
No full textThis research investigates the potential of neurophysiological biosignals fusion, such as electroencephalogram (EEG) and Eye Tracking signals (ET), to classify cognitive states during virtual reality (VR) training, specifically for the rehabilitation of neurodegenerative diseases. By analyzing EEG data collected from participants engaged in VR-based cognitive exercises, we aim to identify patterns associated with different cognitive states and develop a robust classification system. A Convolutional Neural Network (CNN) model was developed to predict task performance utilizing neurophysiological inputs in an immersive world. This system could be used to monitor cognitive function, assess treatment efficacy, and provide real-time feedback to adapt the VR environment to the individual\u27s needs. The findings of this study could contribute to the development of personalized VR-based rehabilitation programs for neurodegenerative diseases, leading to improved outcomes for patients. The preliminary results of this framework were promising with an overall accuracy of 97% and an average precision of 96.7
Effect of Virgin Coconut Oil and Propolis Against Methotrexate Toxic Effect on Submandibular Salivary Glands in Albino Rats
No full textAdvancing Sustainable CO2 Mitigation: Experimental And Computational Analysis Of Thermal Carbon Chitosan Sorbent For Automotive Exhaust Capture
No full textThis study investigated the efficiency of thermal carbon chitosan (TCCS) sorbent for CO2 capture from vehicle exhaust emissions within a designed adsorption system. TCCS was synthesized and meticulously characterized using a series of analytical techniques, including Brunauer-Emmett-Teller (BET) surface area analysis, Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Ther- mogravimetric Analysis (TGA), Energy Dispersive X-ray Spectroscopy (EDX), and Differential Scanning Calo- rimetry (DSC). The TCCS adsorbent showed high thermal stability and a heating value (HHV) of 23.5 MJ/kg. Adsorption isotherm study demonstrated that the maximum capacity of CO2 adsorption is 0.084 kg.CO2/kg. TCCS, as well as confirmation of the exothermic nature of the process with an enthalpy change (ΔH) of − 26.42 kJ/mol. Kinetics study indicated that the adsorption mechanism was physical in nature, characterized by an activation energy (ED) of 4.27 kJ/mol, which is lower than the threshold of 8 kJ/mol. The experimental breakthrough curve revealed a breakpoint time (tb ) of 1280 s, a saturation time (t ) of 2300 s and illustrated that s about 70 % of the adsorption bed (Hb) was used during the CO2 adsorption process. To further validate the experimental results, a Computational Fluid Dynamics (CFD) simulation was conducted, revealing a strong correlation with the experimental data. The low error values between the experimental and CFD predicted results underscore the reliability of the TCCS-based adsorption system for effective CO2 capture. This research con- tributes valuable insight into the potential of TCCS as a sustainable adsorbent for mitigating CO2 emissions from automotive sources
A Newly Fabricated Electrochemical Sensor for Apomorphine Detection in Human Plasma
No full textParkinson’s disease is the second leading cause of central nervous system degeneration. Apomorphine (APO), a dopamine agonist, is used to manage Parkinson’s disease by reducing recurrent symptoms during off-time. Due to its narrow therapeutic window and risk of serious side effects, reliable monitoring of APO is required to personalize treatment plans, guaranteeing therapeutic effectiveness and patient safety. This work presents the first voltammetric sensor for detecting APO in bulk and spiked human plasma samples. The preparation of the sensor involves the modification of carbon paste electrode with nitrogen-doped graphite. The electrochemical determination using differential pulse voltammetry revealed the presence of three peaks (0.05, 0.5, and 0.8 V). The quantitation was carried out by plotting the current peak height at 0.8 V against the relative concentrations in the range of 5.63 × 10-6-1.0 × 10-3 M with a limit of detection equal to 1.82 × 10-6 M and a limit of quantification of 5.50 × 10-6 M. The method was validated as per the guidelines of the International Conference on Harmonization and was also assessed using Analytical Eco-scale showing excellent green analysis. The method was then successfully applied to determine APO in spiked human plasma samples in the range of 2.50 × 10-5-1.0 × 10-3 M, including its plasma level. © 2025 The Electrochemical Society (“ECS”). Published on behalf of ECS by IOP Publishing Limited. All rights, including for text and data mining, AI training, and similar technologies, are reserved
Smart dressings accelerating wound healing with tranexamic acid-infused aligned electrospun nanofibers: In vitro and In vivo assessments
No full textThe development of advanced wound dressings capable of accelerating healing and achieving effective hemostasis remains a critical challenge in managing traumatic and surgical wounds. This study reports the fabrication and comprehensive evaluation of a novel multilayered, sandwich-structured nanofiber scaffold composed of Tranexamic acid (TXA), chitosan (CS), polyvinyl alcohol (PVA), L-arginine, and polylactic acid (PLA) for biodegradable wound dressing applications. Using sequential electrospinning, a four-layered scaffold was developed as a smart wound dressing, comprising an immediate-release TXA-CS-PVA layer for rapid clotting, a hydrophobic PLA barrier layer for protection, a sustained-release L-arginine-PVA layer to promote tissue regeneration, and a final PLA protective layer to enhance durability. The morphology and fiber alignment were optimized by employing both flat plate and rotating disc collectors to achieve random and aligned nanofiber structures, respectively. Characterization studies confirmed successful Tranexamic acid (TXA) encapsulation and structural integrity of the scaffolds. In vitro cytotoxicity tests showed excellent biocompatibility, while in vivo full-thickness wound models demonstrated superior wound closure rates, enhanced collagen deposition, and elevated TGF-β1 expression with minimal skin irritation. Notably, scaffolds with aligned fibers and thinner PLA barriers significantly accelerated healing compared to random fibers and marketed formulations. These findings highlight the promising potential of the fabricated multilayered electrospun nanofiber scaffold as an effective biodegradable wound dressing that not only accelerates hemostasis but also promotes enhanced wound healing
Cisplatin palbociclib combination differentially modulates PTEN AKT signaling via Hsp90 in hepatocellular carcinoma cells.
No full textHepatocellular carcinoma (HCC) presents a significant global health challenge, marked by high mortality and recurrence. This study investigated the synergistic potential of cisplatin and palbociclib (C + P) against HCC cell lines. RT-qPCR revealed that C + P significantly downregulated HCC-related genes, including Hsp90, β-catenin, and components of the PI3K/AKT/mTOR pathway, compared to cisplatin alone and controls. Western blotting confirmed a reduction in phosphorylated AKT (P-AKT) with palbociclib and C + P, while PTEN, a tumor suppressor, was upregulated in the C + P group. Annexin V-FITC assays demonstrated a substantial increase in apoptosis in palbociclib and C + P treated cells. Cell cycle analysis indicated S and G0–G1 phase arrest with C + P, suggesting a combined cytotoxic effect. Scratch wound assays showed that both palbociclib and C + P significantly inhibited cell migration compared to cisplatin and controls. These findings suggest a promising synergistic effect of C + P in overcoming cisplatin resistance in HCC. However, further research is needed to fully elucidate the complex interactions between these drugs
Excess bio-sludge and contamination load minimisation: A comparative study on conventional activated sludge (CAS) and integrated treatment of CAS–AnMBR for environmental optimisation
No full textSlaughterhouse wastewater (SWW) contains high levels of biodegradable organic compounds, posing significant environmental hazards. The wastewater often exceeds regulatory discharge limits for contaminants, exacerbating eutrophication. Thus, biological treatment methods like activated sludge and anaerobic digestion remain preferable over physical or chemical processes for handling this wastewater. This study evaluated an integrated conventional activated sludge (CAS) and anaerobic membrane bioreactor (AnMBR) system for SWW to achieve high treatment efficiency while minimising excess sludge production. The wastewater was initially treated by a CAS system operated at a food-to-microorganism ratio of 0.2; the effluent then underwent anaerobic digestion in the AnMBR with an organic loading rate of 0.5 g COD/L/h. The integrated system achieved over 90% removal for COD and suspended solids and over 80% for nitrogen and phosphorus removal. It also reduced excess sludge by 30% compared to standalone CAS. Estimated biogas production was 0.6 m3/h with 50–70% methane content. The high pollution removal, sludge minimisation, and renewable energy generation indicate that the integrated CAS–AnMBR system is a promising sustainable SWW treatment approach. The positive initial results warrant further examinations of methane yields, cost-effectiveness, and optimisation