Nuclear structure of some even and odd nuclei using shell model calculations

Singh, Bhopendra; Rajest, S. Suman; Praghash, K.; Uppalapati,; Regin, Srilakshmi R.

doi:10.1063/5.0030932

Cited by 9 publications

(6 citation statements)

References 38 publications

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“…According to Bhopendra Singh, et al, [3] the so-called autocratic leadership approach contributes to nearly all officials depending on the chief. The leader enforces actions with incentives, and all who perform what they are ordered to do are fearful of rewards for retribution.…”

Section: Autocratic Leadership Stylementioning

confidence: 99%

“…The autocratic government may be in a low economic and social growth stage, where physiological and social fulfilment criteria stay lower. The autocratic form of leadership in Bhopendra Singh, et al, [3] can be extended where the followers have to be coerced, supervised and managed to carry out the function. Therefore, the autocratic model is one end of the leadership spectrum decision-making in this leadership style just inside the leader's province.…”

Section: Autocratic Leadership Stylementioning

confidence: 99%

“…The chief is dogmatic and responds to incentives and retribution by his willingness to offer or deny. Bhopendra Singh, et al, [3] says that if the leaders' strategies are focused on motivation and punishment, they would be defined as positive leaders who, by benevolence or coercion, are allowed to enforce their judgment. To get the desired outcome, the successful leader utilizes constructive strategies as praise, tact and diplomacy.…”

Section: Autocratic Leadership Stylementioning

confidence: 99%

“…He has a clever way to make his own choices while making sense of the subordinates' presence. The benefit of autocratic leadership is that decisions can be reached instantly, according to Bhopendra Singh, et al, [3]. Before settling, the chief shall not seek the permission of the community members.…”

Section: Autocratic Leadership Stylementioning

confidence: 99%

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The Impact of Leadership Styles on Employees Productivity in Organizations: A Comparative Study Among Leadership Styles

et al. 2021

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Successful leaders are facilitators who specifically target skilled and committed workers. Studies in organizational psychology and the research on an organization's actions suggest that management styles and staff motivation are key factors of business performance or failure. This study aimed to study the influence of leadership on the performance of employers in the education ministry and higher education of Somaliland and to define four types, namely, autocratic, transformational, democratic and transactional leadership. This study analyzed the effects of leadership styles on employee efficiency. The final findings have shown that the autocratic leadership model has a detrimental effect on the department's efficiency,

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Section: Autocratic Leadership Stylementioning

confidence: 99%

Section: Autocratic Leadership Stylementioning

confidence: 99%

Section: Autocratic Leadership Stylementioning

confidence: 99%

Section: Autocratic Leadership Stylementioning

confidence: 99%

See 2 more Smart Citations

The Impact of Leadership Styles on Employees Productivity in Organizations: A Comparative Study Among Leadership Styles

et al. 2021

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“…It is clearly shown from the table (6) that the increasing training percent would not have an impact on the accuracy of the proposed system. However, time is increased for the Modified DBSCAN [30]. The results show that the proposed system displays superior performance in accuracy metrics compared with the k-means, which has an accuracy (93%) and time (88 secs).…”

Section: Resultsmentioning

confidence: 95%

Unsupervised Approach for Email Spam Filtering using Data Mining

Manaa¹,

Dosh²

2018

EAI Endorsed Transactions on Energy Web

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The computer networks overwhelm with unwanted emails, which are called spam emails. This email brings financial damage to companies and losses of user reputation. In this paper, the increasing volume of these emails has created the intense need to design and implement robust anti-spam filtering using the vector space model and Machine Learning (ML). ML algorithms have successfully used to detect and filter spam emails that jeopardize the network resources and consume the bandwidth. The main objective is to apply unsupervised learning M-DBSCAN to classify spam and ham emails. A robust method using the Modified Density-Based Spatial Clustering of Applications with Noise (M-DBSCAN) is implemented. The extracted N-representative points from each cluster are applied in the online test. These points represent the cluster objects to detect spherical and non-spherical clusters. These N-representative points are formed from the training step to detect spam email using distance measures. The data set used from the Kaggle website included many objects of ham and spam emails. The results show good performance accuracy with 97.848% in M-DBSCAN compared with 95.918% for standard DBSCAN accuracy and efficient values in false-negative rate, false-positive rate, f-score and online time detection.

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