Integrated Use of Rational and Intuitive Decision Making Style: Modern Trends in Organizational Decision Making

The present study reviewed the literature based on a centuryof the theoretical and empirical work on decision making styles.Both in theory and research, the traditional trends limited thedecision makers to either rational or intuitive strategies in decisionmaking. Limited amount of literature emphasized on both rationalityand intuition in decision making until in the recent decades whensome researchers emphasized the use of mixed strategies in decisionmaking. Thus the present study illustrates the importance ofcombining the rational and intuitive style and using a mixed-stylein decisional scenarios. Thus the rational-intuitive and the intuitiverationalstyle double the benefits as both styles have some sharedand some other unique qualities which maximize the outcomes whenused in connection. Finally, the present study suggests a transitionfrom uni-style tradition to mixed style decision making

Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things

Introduction Particularly within the Internet of Medical Things (IoMT) context, skin lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of skin lesion analysis, CAD systems play a crucial role. To segment and classify skin lesions from dermoscopy images, this study focuses on using hybrid deep learning techniques. Method This research uses a hybrid deep learning model that combines two cutting-edge approaches: Mask Region-based Convolutional Neural Network (MRCNN) for semantic segmentation and ResNet50 for lesion detection. To pinpoint the precise location of a skin lesion, the MRCNN is used for border delineation. We amass a huge, annotated collection of dermoscopy images for thorough model training. The hybrid deep learning model to capture subtle representations of the images is trained from start to finish using this dataset. Results The experimental results using dermoscopy images show that the suggested hybrid method outperforms the current state-of-the-art methods. The model's capacity to segment lesions into distinct groups is demonstrated by a segmentation accuracy measurement of 95.49 percent. In addition, the classification of skin lesions shows great accuracy and dependability, which is a notable advancement over traditional methods. The model is put through its paces on the ISIC 2020 Challenge dataset, scoring a perfect 96.75% accuracy. Compared to current best practices in IoMT, segmentation and classification models perform exceptionally well. Conclusion In conclusion, this paper's hybrid deep learning strategy is highly effective in skin lesion segmentation and classification. The results show that the model has the potential to improve diagnostic accuracy in the setting of IoMT, and it outperforms the current gold standards. The excellent results obtained on the ISIC 2020 Challenge dataset further confirm the viability and superiority of the suggested methodology for skin lesion analysis.© 2023 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.fi=vertaisarvioitu|en=peerReviewed

Investigating the role of transformation leadership on Public sector employee’s job satisfaction during Covid-19: The mediating role of employee Empowerment

The global economy is suffering as a result of the Covid-19 pandemic. Because of the health and psychosocial issues, both private and public sector organizations are impacted. Leaders and employees must be committed, engaged, and supportive during this crucial process. To ensure that the overall process runs smoothly, leaders should act and energize on the same page and same attitudes, i.e., transformational leadership styles. Hence, this study attempted to examine the effect of transformational leadership on employee satisfaction during Covid-19, along with the mediating role of employee empowerment between the transformational leadership and employee satisfaction of employees working in public sector organizations. The results of this study revealed the positive association between characteristics of transformational leadership such as coping with uncertainty and ambiguity, guidance and support, risk management, and supporting teamwork, with job satisfaction. Moreover, the mediating results of this study show that employee empowerment significantly mediates the relationship between coping with uncertainty and ambiguity, guidance and support, risk management, and job satisfaction. The current study validates that the characteristics of transformational leadership have a strong effect on job satisfaction among public sector employees. Therefore, the role of transformational leaders during increased healthcare and psychosocial challenges is highly influential. The limitations and future recommendations are also conveyed in this study

Structural modulation of π-conjugated linkers in D–π–A dyes based on triphenylamine dicyanovinylene framework to explore the NLO properties

A donor–π–acceptor type series of Triphenylamine–dicyanovinylene-based chromophores (DPMN1–DPMN11) was designed theoretically by the structural tailoring of π-linkers of experimentally synthesized molecules DTTh and DTTz to exploit changes in the optical properties and their nonlinear optical materials (NLO) behaviour. Density functional theory (DFT) computations were employed to understand the electronic structures, absorption spectra, charge transfer phenomena and the influence of these structural modifications on NLO properties. Interestingly, all investigated chromophores exhibited lower band gap (2.22–2.60 eV) with broad absorption spectra in the visible region, reflecting the remarkable NLO response. Furthermore, natural bond orbital (NBO) findings revealed a strong push–pull mechanism in DPMN1–DPMN11 as donor and π-conjugates exhibited positive, while all acceptors showed negative values. Examination of electronic transitions from donor to acceptor moieties via π-conjugated linkers revealed greater linear (〈α〉 = 526.536–641.756 a.u.) and nonlinear (βtot = 51 313.8–314 412.661 a.u.) response. It was noted that the chromophores containing imidazole in the second p-linker expressed greater hyperpolarizability when compared with the ones containing pyrrole. This study reveals that by controlling the type of π-spacers, interesting metal-free NLO materials can be designed, which can be valuable for the hi-tech NLO applications

First principles study of electronic and nonlinear optical properties of A–D–π–A and D–A–D–π–A configured compounds containing novel quinoline–carbazole derivatives

Materials with nonlinear optical (NLO) properties have significant applications in different fields, including nuclear science, biophysics, medicine, chemical dynamics, solid physics, materials science and surface interface applications. Quinoline and carbazole, owing to their electron-deficient and electron-rich character respectively, play a role in charge transfer applications in optoelectronics. Therefore, an attempt has been made herein to explore quinoline–carbazole based novel materials with highly nonlinear optical properties. Structural tailoring has been made at the donor and acceptor units of two recently synthesized quinoline–carbazole molecules (Q1, Q2) and acceptor–donor–π–acceptor (A–D–π–A) and donor–acceptor–donor–π–acceptor (D–A–D–π–A) type novel molecules Q1D1–Q1D3 and Q2D2–Q2D3 have been quantum chemically designed, respectively. Density functional theory (DFT) and time-dependent density functional theory (TDDFT) computations are performed to process the impact of acceptor and donor units on photophysical, electronic and NLO properties of selected molecules. The λ(max) values (321 and 319 nm) for Q1 and Q2 in DSMO were in good agreement with the experimental values (326 and 323 nm). The largest shift in absorption maximum is displayed by Q1D2 (436 nm). The designed compounds (Q1D3–Q2D3) express absorption spectra with an increased border and with a reduced band gap compared to the parent compounds (Q1 and Q2). Natural bond orbital (NBO) investigations showed that the extended hyper conjugation and strong intramolecular interaction play significant roles in stabilising these systems. All molecules expressed significant NLO responses. A large value of β(tot) was elevated in Q1D2 (23 885.90 a.u.). This theoretical framework reveals the NLO response properties of novel quinoline–carbazole derivatives that can be significant for their use in advanced applications

A Review on Pharmaceutical Waste Pollution in Water: Extent, Management and Removal Strategies

Pharmaceutical waste and presence of hazardous pollutants in them is a growing concern due to their fate, origin, higher rate of utilization and varying nature of active ingredients resulting in water contamination. However, there is few research on the graving nature of the problem. Cascading impacts on human and ecosystems can be expected from contaminated groundwater and other aquatic channels. While, various technologies used and studied for the removal/reduction/sedimentation of pharmaceutical pollutants. At the initial stages, level of toxicity should check with respect to flora, fauna, environment, and human health. Furthermore, the production of by-products from pharmaceutical pollutants should also be checked and regulated. These by-products can be much more toxic, than the original contaminants and can exert significant toxic effects. It was concluded that there should be ongoing efforts to reduce the cost associated with pharmaceutical waste and their pollutants removal processes to ensure sustainability in the environment and human being