1,198 research outputs found

    IFS Green Budget, Chapter 9 : Investment in training and skills : October 2023

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    Do Print Media Cater the Needs of Society? A Study to Analyze the Coverage of Health Issues in Major Dailies of Pakistan

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    This research study is conducted to identify the contribution of print media in highlighting the health specific information for their readers. A content analysis was made for five major Urdu and English dailies, to understand the importance given to health issues in terms of space given, frequency and tone of the contents. The findings of study concluded that mostly articles discussed the health education, specific diseases were less reported. Mostly articles were in neutral and positive tone respectively. Almost one fourth of the articles presented the multiple viewpoints with conclusion as elaborated multiple aspects such as diagnosis, precautionary measures, treatments and remedies/suggestions. Two-thirds of the articles discussed the non-scientific evidence. It was conclude that Information related to health was treated very casually and no serious and result oriented effort was made by the print media

    Frequency and phase locking of a CW magnetron:with a digital phase locked loop using pushing characteristics

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    The main body of work presented in this thesis is precise frequency and phase control of a 1.2 kW CW cooker magnetron (National 2M137) locked to a 10 MHz reference injected with a very small RF signal (of the order of -40 dBc) creating a suitable RF source for particle accelerators and other sophisticated applications. We will go on to discuss the characterization of the magnetron with differing heater powers and load conditions when operated with a low cost switched mode power supply. We similarly identify three different regimes of the magnetron operation with respect to the heater power: firstly low noise operation for small heater powers (up to 15W), secondly unstable operation for mid-range heater powers (15W to 30W) and thirdly high noise operation at high heater powers (30W to 54W). We then introduce a novel method to lock the magnetron output frequency to the 10 MHz reference using a digital frequency synthesizer IC (Analog Devices ADF4113) in a negative feedback loop, with this method we exploit the use of the pushing mechanism where the ADF41113 controls the power supply output to vary the magnetron’s anode current, keeping its natural frequency locked to the reference. We next investigate the injection locking of the frequency locked magnetron with small injection levels (-29 dBc to -43 dBc) under differing operating conditions and observe a phase jitter performance of the order of+/-13 o for very small heater power and -29 dBc injection level. We then fast switch/ramp the injection phase and establish the maximum rate of change of the magnetron output phase. This rate was found to be 4p/us for -29 dBc injection level and 44W heater power. We finally discuss the implementation of a fast DSP based feedback control on the injection phase to improve the magnetron phase jitter performance to below 1o r.m.s

    A Deep-Unfolded Spatiotemporal RPCA Network For L+S Decomposition

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    Low-rank and sparse decomposition based methods find their use in many applications involving background modeling such as clutter suppression and object tracking. While Robust Principal Component Analysis (RPCA) has achieved great success in performing this task, it can take hundreds of iterations to converge and its performance decreases in the presence of different phenomena such as occlusion, jitter and fast motion. The recently proposed deep unfolded networks, on the other hand, have demonstrated better accuracy and improved convergence over both their iterative equivalents as well as over other neural network architectures. In this work, we propose a novel deep unfolded spatiotemporal RPCA (DUST-RPCA) network, which explicitly takes advantage of the spatial and temporal continuity in the low-rank component. Our experimental results on the moving MNIST dataset indicate that DUST-RPCA gives better accuracy when compared with the existing state of the art deep unfolded RPCA networks

    PSYCHOLOGICAL ANALYSIS OF MYSTICAL EXPERIENCES IN HERMAN HESSE’S SIDDHARTHA

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    This paper is an attempt to study Siddhartha’s spiritual quest for self-knowledge in psychological perspective. It is meant to explore how far and in what ways is the mystical experience on par with secondary integration of personality that occurs only in the wake of the disintegration of several existing psychological structures. The protagonist’s act of overcoming ego-consciousness and disassociating himself with the social labels and ultimately realizing his ‘self’ are analyzed psychologically using Kazimierz Dabrowski’s theory of positive disintegration as a conceptual framework. Herman Hesse’s novel Siddhartha is selected for the study, and textual analysis is employed as a tool to analyse the text culling the relevant passages as evidence. The study reveals that the protagonist of the novel achieves higher level of personality development and the previously held assumptions which confuse spirituality with psychic disorders are overruled. It also asserts the validity of mystical experiences as higher form of consciousness yielding wisdom allowing mystics to transcend the temporal cum spatial barriers thereby elevating to the level of humanity. This paper suggests that the study of different mystical traditions may well lead to one’s personal development and may prove a step towards gaining maturity.Keywords: Mysticism, mystical experience, self-realization, positive disintegration, secondary integration.  Cite as: Imran, M., Bhatti, A. G., & Naveed, R.T. (2018). Psychological analysis of mystical experiences in Herman Hesse’s Siddhartha. Journal of Nusantara Studies, 3(2), 66-79. http://dx.doi.org/10.24200/jonus.vol3iss2pp66-7

    Use of self-calibration data for multifunctional MEMS sensor prognostics

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    This paper proposes a solution to monitor the degradation of a multifunctional microelectromechanical systems (MEMS) sensor (MFS) and to recalibrate the sensor output accordingly. The solution is able to predict the remaining useful life based on the recalibration history. The MFS used is a dual pressure-humidity hybrid sensor where model data have been used to demonstrate the applicability and performance of the proposed method for diagnosis, self-correction, and prognosis

    Impact of Leader-Member Exchange Relationship and Job design on Counterproductive Work Behavior (CWB): The Role of Job Burnout

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    The aim of this study is to synthesize the effect of Leader-member exchange relationship (LMX) and Job design on Counterproductive work behavior (CWB) through the mediating lens of all three dimensions of Job Burnout that based upon Conservation of Resource (COR) theory. A sample size of 350 respondents was used for collecting data with the help of research survey by distributing questionnaires to the employees who are working in public sector universities of higher education sector that are currently based in twin cities (Islamabad and Rawalpindi) of Pakistan. Techniques of Simple and Multiple linear regressions were carried out for accessing mediation analysis via SPSS version 21.0 and AMOS version 27.0.  Findings of this study has revealed that LMX relationship is significantly but negatively related to Counterproductive work behavior (CWB) and Job design is significantly and positively related to (CWB). Also Job Burnout is a significant variable that mediates between Leader-member exchange for developing quality exchange relationships, job design and counterproductive work behaviors. This study gave into new insights and results into the existing body of knowledge along with practical implications and outcomes. Limitations for this study along with future directions of research are also discussed at the end

    Blind Detection of Copy-Move Forgery in Digital Audio Forensics

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    Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark or signature in an audio that is unknown in most of the real-life scenarios. Therefore, forgery localization becomes more challenging, especially when using blind methods. In this paper, we propose a novel method for blind detection and localization of copy-move forgery. One of the most crucial steps in the proposed method is a voice activity detection (VAD) module for investigating audio recordings to detect and localize the forgery. The VAD module is equally vital for the development of the copy-move forgery database, wherein audio samples are generated by using the recordings of various types of microphones. We employ a chaotic theory to copy and move the text in generated forged recordings to ensure forgery localization at any place in a recording. The VAD module is responsible for the extraction of words in a forged audio, and these words are analyzed by applying a 1-D local binary pattern operator. This operator provides the patterns of extracted words in the form of histograms. The forged parts (copy and move text) have similar histograms. An accuracy of 96.59% is achieved, and the proposed method is deemed robust against noise

    Limits of UK Counterterrorism Policy and its Implications for Islamophobia and Far Right Extremism

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    The UK Government has recently announced a new Counter-Terrorism and Security Act 2015 to facilitate tackling the threat of violent extremism. In light of this and previous initiatives, this paper provides a critical assessment of UK counterterrorism policy. This policy has created a notion of ‘suspect communities’ such that it has alienated young Muslims at the community engagement level, conceivably and empirically, potentially further exacerbating concerns government and communities have over questions of radicalisation, extremism, and the associated political and criminal violence. This paper argues that such policies can lead to the institutionalisation of Islamophobia, acting as an echo chamber for far right extremism to flourish. Significant gaps in government policy in this area can only be addressed by fostering effective relations between communities and policy makers, with enablers such as police officers, youth workers, activists and faith leaders empowered to formulate nuanced approaches in various local area settings. Given the social, cultural and political situation regarding British Muslim youth, including those presently thought to be fighting in parts of Iraq and Syria, as well as ongoing threats on UK soil presented as imminent and dangerous by UK government, there remain acute challenges with limited opportunities

    DIGITALISASI GUA PRASEJARAH BERGAMBAR DI KAWASAN KARST MAROS-PANGKEP: STUDI KASUS LEANG LAMBATORANG KABUPATEN MAROS

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    The Maros and Pangkep areas contain a number of damaged caves that require immediate attention. Preserving our cultural heritage demands documentation, mapping, and modeling. The utilization of 3D visualization is paramount in recording cultural heritage data. Moreover, it contributes to the conservation, rehabilitation, and maintenance of historical structures. In the current era of scientific and technological advancements, laser scanners have made rapid progress. The data generated by these scanners plays a critical role as a backup to safeguard cultural heritage objects in case of damage, destruction, or loss. The benefits of employing 3D visualization lie in its ability to create detailed and integrated models, resulting in a comprehensive database accessible to all stakeholders. This study utilized the Block Bundle Adjustment methodology to map the prehistoric cave Leang Lambatorang and create a 3D visualization using a laser scanner. The research findings include the 3D visualization of the data from Leang Lambatoran
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