Explore the vast range of titles available.

PurposeThe current pandemic will introduce many novel policies, adaptations, innovations and procedures by innovative human resource (HR) creativity. In particular, information technology (IT) implementation is a field that needs more significant focus and a wider range of creative interventions. The author would undoubtedly see a more human-focused approach to HR management (HRM) in the post-coronavirus disease 2019 (post-COVID-19) era, where enterprises and workers have had to reinvent themselves in a brief amount of time drastically. Following the nationwide lockdown caused by COVID-19, many companies were pushed to opt for remote working, which presents both difficulties and benefits for workers and employers. So the purpose of this study is to investigate some key consequences resulting from COVID-19’s effect on multiple HRM roles, how technology is empowering and fostering HRM, informative forecasts based on how organizations are coping and finally, the path in the post-pandemic environment.Design/methodology/approachThe COVID-19 epidemic has had a significant effect on every area of the global economy. It has had severe implications for public institutions and raises particular questions for medical schools. The emergence of COVID-19 has disrupted many activities and requires intense and prompt attention from medical educators. So, HR leaders now face the difficult task of managing the interests of workers and their corporations. The outbreak of COVID-19 has proved that this is not just a difficult time but rather a testing time for companies across the globe to check and ensure how swiftly they adapt themselves by thinking and planning differently. An enterprise evolves with nature, and change is unavoidable if performance and productivity are to improve. Changes in structure, technology and priorities are overgrowing, posing big obstacles to leaders. Corporations worldwide have looked to technology to pursue creative solutions to some of the world’s most pressing problems. This study provides a review of articles related to the role of technology in HRM in the COVID-19 period. The analyzed articles are divided into three groups, including articles related to the role of information communication technology, cloud computing and teleworking in HRM in the COVID-19 era. Also, the most important key challenges are collected, and solutions are provided for them.FindingsIn times of trouble, authentic leadership shines through. The actions of pioneering HR leaders throughout the COVID-19 epidemic will significantly affect their respective organizations. When COVID-19 expanded around the world, HR agencies made their workers’ health and welfare a top priority. HRM’s long-term sustainability can be dictated by how they deal with the current crisis. Web-based solutions, such as cloud computing, will also address a vital resource allocation gap. It illustrates the possible efficacy of patient-oriented, web-based applications built on result-driven design, which continues to be validated by more testing and assessment. Many studies have emphasized business innovation as a necessity due to changes in the environment and various challenges and requirements facing businesses. The challenge of observing social distance and limiting face-to-face business services is the challenge of the COVID-19 pandemic era.Research limitations/implicationsThis study could entail a joint international collaboration initiative among research centers, allowing information about COVID-19 impacts to be shared more easily. It will favor a worldwide policy to find a response to the epidemic but still address cultural and social issues.Practical implicationsThe survey concludes that, whenever possible, employers and medicals should explore remote working opportunities in all industries to alleviate uncertainty and improve employee psychological well-being. The facilitating considerations and problems are often addressed in order to supply practical views for developing cloud-based solutions.Originality/valueThis research aims to lead to the advancement of scientific knowledge in the HRM area through the use of IT-based technology. It allows businesses to reinvent HRM techniques to save money and maximize efficiency without compromising their employees’ life quality and well-being. More in-depth studies at various pandemic stages would yield more valuable insights into HRM’s emerging position.

امرأة أمريكية من أصل فلسطيني تتصارع مع الإيمان والخسارة والهوية قبل أن تواجه وجها لوجه مع مطلق النار في المدرسة في هذه الظهور الأول المثير. قصة أمريكية فريدة من نوعها تروى بنثر قوي ومثير للذكريات، جمال وجهك يتنقل في بلد ينمو باستمرار. أكثر انقساما. عفاف الرحمن، ابنة مهاجرين فلسطينيين، هي مديرة مدرسة نور الدين للبنات، وهي مدرسة إسلامية في ضواحي شيكاغو. في صباح أحد الأيام، هاجم مسلح - متطرف من اليمين المتطرف عبر الإنترنت - المدرسة. بينما كانت عفاف تستمع ومع تقدمه المرعب، تعود بنا ذكرياتها : التعصب الذي واجهته عندما كانت طفلة، وأحلام والدتها بالعودة إلى فلسطين، والاختفاء المدمر لأختها الكبرى الذي مزق عائلتها. ومع ذلك، لا تزال هناك حلاوة \"موسيقى عود والدها، والأمل والمجتمع الذي وجدته عفاف أخيرا في الإسلام. جمال وجهك هو استكشاف عميق ومؤثر لحياة امرأة واحدة في أمة تتعارض مع مثلها\".

In the field of data security, biometric security is a significant emerging concern. The multimodal biometrics system with enhanced accuracy and detection rate for smart environments is still a significant challenge. The fusion of an electrocardiogram (ECG) signal with a fingerprint is an effective multimodal recognition system. In this work, unimodal and multimodal biometric systems using Convolutional Neural Network (CNN) are conducted and compared with traditional methods using different levels of fusion of fingerprint and ECG signal. This study is concerned with the evaluation of the effectiveness of proposed parallel and sequential multimodal biometric systems with various feature extraction and classification methods. Additionally, the performance of unimodal biometrics of ECG and fingerprint utilizing deep learning and traditional classification technique is examined. The suggested biometric systems were evaluated utilizing ECG (MIT-BIH) and fingerprint (FVC2004) databases. Additional tests are conducted to examine the suggested models with:1) virtual dataset without augmentation (ODB) and 2) virtual dataset with augmentation (VDB). The findings show that the optimum performance of the parallel multimodal achieved 0.96 Area Under the ROC Curve (AUC) and sequential multimodal achieved 0.99 AUC, in comparison to unimodal biometrics which achieved 0.87 and 0.99 AUCs, for the fingerprint and ECG biometrics, respectively. The overall performance of the proposed multimodal biometrics outperformed unimodal biometrics using CNN. Moreover, the performance of the suggested CNN model for ECG signal and sequential multimodal system based on neural network outperformed other systems. Lastly, the performance of the proposed systems is compared with previously existing works.

This paper reviews recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by the rapid developments in sensor technologies and data analytics leading to ever-advancing systems for assessing and monitoring structures. Conventional and advanced sensor technologies are systematically reviewed and evaluated in the context of providing input parameters for NDT and SHM systems and for their suitability to determine the health state of structures. The presented sensing technologies and monitoring systems are selected based on their capabilities, reliability, maturity, affordability, popularity, ease of use, resilience, and innovation. A significant focus is placed on evaluating the selected technologies and associated data analytics, highlighting limitations, advantages, and disadvantages. The paper presents sensing techniques such as fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.

The propagation of high-frequency (HF) waves through a magnetized plasma with nonuniform density in the presence of energetic electron populations is studied. A Fully electromagnetic particle-in-cell method is employed to simulate the interaction between a high-power left-hand circularly polarized HF wave and the plasma. The energetic electron population and its anisotropy are modeled using a bi-kappa distribution, while the cold background electrons and ions follow Maxwellian distributions. The presence of energetic electrons influences the plasma by creating non-equilibrium velocity distributions. The energetic electrons are considered to have anisotropy in momentum. Simulation results show that energetic electrons characterized by an excess of perpendicular momentum, induce strong coupling between the HF wave and plasma, exciting strong plasma waves. The interaction of HF wave with the excited plasma modes generates higher-frequency HF components. Furthermore, whistler turbulence-driven by momentum anisotropy-couples efficiently to the HF wave, attenuating the incident HF signal while amplifying the whistler mode. The nonlinear interaction between the whistler wave and excited plasma modes additionally generates higher-frequency whistler emissions. Conversely, energetic electron populations with an excess of parallel momentum have no significant influence on HF radio wave propagation. Energy and spectrum analysis are conducted to reveal the nature of these transverse and longitudinal modes and the mechanisms by which they are generated in the plasma. These results enable optimized wave-based technologies such as space communication systems resilient to anisotropic plasmas, high-precision remote sensing, and advanced plasma diagnostics.

Stringent environmental regulations may encourage industrial innovation, as technological advancements lower the cost of pollution abatement (Popp et al. in Handbook of the economics of innovation, vol II. Academic Press, Burlington, pp 873–938, 2010 ). The pollution-havens hypothesis, on the other hand, indicates that, rather than innovating, dirty industries may relocate to countries with less stringent environmental regulations (Copeland and Taylor in J Econ Lit 42(1):7–71, 2004 ). Thus, more stringent environmental regulations may increase or decrease innovative activities. This paper examines empirically the impact of environmental regulations on R&D intensities and R&D expenditures in 21 manufacturing industries in 28 OECD countries from 2000 to 2007. I consider pollution intensity and the relative ease of relocation (immobility) as industry characteristics that determine the optimal industry response to increased environmental policy stringency. I find that more pollution intensive industries innovate less as regulatory environments become more restrictive relative to less pollution intensive industries. At the same time, more immobile industries innovate more than more mobile industries as environmental regulations become more stringent, illustrating innovation as an alternative to relocation.