A Study On Hpo From The Employees’ Perspective In Selected Public Sector In Pakistan

This study aims to test the five indicators of High Performance Organization (HPO) framework derived by the Professor De Wall in the selected public sector organization in Pakistan with the purpose to identify the performance status and to propose the solution to improve the identified poor factors resulted from the tested HPO framework. For this purpose, explanatory sequential method of mix methodology is applied whereby the quantitative method is used to assess the performance status and the qualitative method is used to propose the improvement solutions to the public sectors organizations. HPO framework had a structured questionnaire of 35 items and it was used to collect data from 513 respondents from three selected public service organizations of Pakistan. The quantitative study results indicated low performance status of public sector organizations. This study found that HPO framework explained 27.5% variance in the performance of public sector organizations in Pakistan. Therefore, this study concluded that the HPO framework is applicable in Pakistani context but it is not a “quick fix” to achieve HPO in Pakistan. In the qualitative method, there were twelve interviews attending to three main interview questions had been conducted in the same organization to the top management of public sector organizations in Pakistan. Thematic network analysis was applied to analyze these public organizations’ understanding on HPO, and to explore the reasons of low mean score of the tested factors in the HPO framework. This study concluded that there is good level of understanding on HPO in public sector organizations of Pakistan, however, the practiced of HPO was found missing in the public sector organizations

Justice Institutions Performance and Employees’ Job Satisfaction: A Case of Afghanistan Justice Institutions

This study intends to know justice sector employees views of their institutions in terms of their satisfaction, access to justice level and their standard perofrmance. Present research consider employees of three main justice sector institutions namely Attorney general Office, Ministry of justice and Supreme Court employees. Quantitative methodology is applied through five point lickert scale questionnaire. Questionnaire was administered among 234 subjects of the same institutions who were the training participants, train by independent directorate of local governance of Afghanistan. Data was properly entered in IBM-SPSS and analyzed through descriptive and inferential statistics. Analysis of Variance (ANOVA) and t-test was applied to test five hypotheses of the study. Study concluded that majority of the justice sector employees is of the view that justice sector institutions’ performance is not up to the mark. Keywords: Employees’ Views, Justice System, Performance, Afghanistan

Study on Biodiesel plants growth performance and tolerance to water stress under semi desert conditions

In this research, we studied the growth performance and tolerance of three biodiesel plants namely; Jatropha curcas, Moringa oleifera and Ricinus communis to water stress. Research conducted on the three different soils from Kaita, Jibiya and Mai’adua in the semi-desert environments of Katsina State, Nigeria. The findings revealed that pH, electrical conductivity, water holding capacity and moisture retention of the soils were less variable in the soils. Regarding the growth performance, J. Curcas has the highest number of germinating seeds from 45% to 65% without amendments and 80% to 85% soil under amendments. In M. oleifera was 35% to 40% and 65% to 80% while, R. communis has least counts ranging from 20% to 30% and 35% to 50% under two different conditions. Similarly, J. curcas has lesser time for seed germination in non-amended conditions, but under amendments, J. curcas and M. oleifera shown more or less similar time for seeds germination. In R. communis, was late but there was most significant decrease to about 41.53% after treatments. The growth rate from the growth parameters (length, number of leaves and biomass) indicated that M. oleifera has the highest rate reaching up to 42.19cm in length, 320 numbers of leaves and 38.03g biomass per plant. However, the growth rate in J. curcus was average by comparing the three species and found lowest in R. cummunis under both conditions. However, there was no significant increase in plants growth in amended soil as in jibia soil. The tolerance of plants to water stress varies with J. curcus having greater tolerance as it prolongs it’s temporary taking up to 19 days before attaining permanent wilting in jibia soil. However, M. oleifera has an average tolerance in comparison, between the three, but early temporary and permanent wilting period in 1 to 3 days exhibits by R. communis portrays its disability to tolerate water stress in the environments.Key Words: Amendment, Biodiesel, Retention, Tolerance, Texture, Wiltin

Motion of falling object

A simple setup was assembled to study the motion of an object while it falls. The setup was used to determine the instantaneous velocity, terminal velocity and acceleration due to gravity. Also, since the whole project was done within $20 it can easily be popularized.Comment: 11 pages, 4 figur

MARTINS: A foam/film flow model for molten material relocation in HWRs with U-Al-fueled multi-tube assemblies

Some special purpose heavy-water reactors (EM) are made of assemblies consisting of a number of coaxial aluminum-clad U-Al alloy fuel tubes and an outer Al sleeve surrounding the fuel tubes. The heavy water coolant flows in the annular gaps between the circular tubes. Analysis of severe accidents in such reactors requires a model for predicting the behavior of the fuel tubes as they melt and disrupt. This paper describes a detailed, mechanistic model for fuel tube heatup, melting, freezing, and molten material relocation, called MARTINS (Melting and Relocation of Tubes in Nuclear subassembly). The paper presents the modeling of the phenomena in MARTINS, and an application of the model to analysis of a reactivity insertion accident. Some models are being developed to compute gradual downward relocation of molten material at decay-heat power levels via candling along intact tubes, neglecting coolant vapor hydrodynamic forces on molten material. These models are inadequate for high power accident sequences involving significant hydrodynamic forces. These forces are included in MARTINS

Analytical formula for fuel particle to liquid sodium heat transfer

In the analysis of unprotected loss-of-flow and overpower transients of liquid metal fast breeder reactors, the modeling of heat transfer from molten fuel, ejected into the coolant channel after cladding rupture, to liquid sodium is an important part of fuel-coolant interaction (FCI). Some of the ejected molten fuel fragments into small particles and gets dispersed in the coolant. In the PLUT02 code model and other modeling efforts of FCI it is assumed that the fuel particle to liquid sodium heat transfer is limited only by the thermal conduction resistance of the fuel because the thermal conductivity of liquid sodium is about 30 times higher than that of mixed oxide. The fuel particle (assumed to be a sphere) surface temperature, under this assumption, equals the coolant temperature. The purpose of the present analysis is to obtain the value of meter C/sub 1/ (for V/sub l/ = 1) by solving the linear transient heat conduction equation a constant parameter in the equation for evaluating the fuel-coolant heat transfer coefficient

ハイノRNAノアンテイセイニシテンヲオイタイネノシュシジュミョウニカンスルケンキュウ

博士（農学）東京農工大

Multiresolution Dynamic Mode Decomposition (mrDMD) of Elastic Waves for Damage Localisation in Piezoelectric Ceramic

The performance of piezoelectric sensors deteriorated due to the presence of defect, delamination, and corrosion that needed to be diagnosed for the effective implementation of the structural health monitoring (SHM) framework. A novel experimental approach based on Coulomb coupling is devised to visualise the interaction of ultrasonic waves with microscale defects in the Lead Zirconate Titanate (PZT). Multiresolution dynamic mode decomposition (mrDMD) technique in conjunction with image registration, and Kullback Leibler (KL) divergence is utilised to diagnose and localise the surface defect in the PZT. The mrDMD technique extracts the spatiotemporal coherent mode and provides an equation-free architecture to reconstruct underlying system dynamics. Additionally, due to the strong connection between mrDMD and Koopman operator theory, the proposed technique is well suited to resolve the nonlinear and dispersive interaction of elastic waves with boundaries and defects. The mrDMD sequentially decomposes the three-dimensional spatiotemporal data into low and high frequency modes. The spectral modes are sensitive to defects based on the scaling of wavelength with the size of the defect. The error due to offset and distortion was minimised with ad hoc image registration technique. Further, localisation and quantification of defect are performed by evaluating the distance metric of the probability distribution of coherent data of mrDMD acquired from healthy and defected samples. In the arena of big-data that is ubiquitous in SHM, the paper demonstrates an efficient damage localisation algorithm that explores the nonlinear system dynamics using spectral multi-mode resolution techniques by sensitising the damage features

A deep learning approach for anomaly identification in PZT sensors using point contact method

The implementation of piezoelectric sensors is degraded due to surface defects, delamination, and extreme weathering conditions, to mention a few. Hence, the sensor needs to be diagnosed before the efficacious implementation in the structural health monitoring (SHM) framework. To rescue the problem, a novel experimental method based on Coulomb coupling is utilised to visualise the evolution of elastic waves and interaction with the surface anomaly in the lead zirconate titanate (PZT) substrate. Recently, machine learning (ML) has been expeditiously becoming an essential technology for scientific computing, with several possibilities to advance the field of SHM. This study employs a deep learning-based autoencoder neural network in conjunction with image registration and peak signal-to-noise ratio (PSNR) to diagnose the surface anomaly in the PZT substrate. The autoencoder extracts the significant damage-sensitive features from the complex waveform big data. Further, it provides a nonlinear input–output model that is well suited for the non-linear interaction of the wave with the surface anomaly and boundary of the substrate. The measured time-series waveform data is provided as input into the autoencoder network. The mean absolute error (MAE) between the input and output of the deep learning model is evaluated to detect the anomaly. The MAEs are sensitive to the anomaly that lies in the PZT substrate. Further, the challenge arising from offset and distortion is addressed with ad hoc image registration technique. Finally, the localisation and quantification of the anomaly are performed by computing PSNR values. This work proposes an advanced, efficient damage detection algorithm in the scenario of big data that is ubiquitous in SHM

Writing English Public Service Information Booklet in Immigration Office Class II Tasikmalaya

This job training report is entitled “Writing English Public Service Information Booklet in Immigration Office Class II Tasikmalaya”. It was held on March 08, 2022 - April 08, 2022. The purpose of implementing this job training is to provide English booklet for making it easier for foreign citizens to find out the public service information that is in Immigration Office Class II Tasikmalaya, and know the obstacles and to find the solutions. In this job training activity, the methods were observation, interview, and documentation. In carrying out the job training, it was found that the use of English in booklet of the company is seldom used. Besides, the use of social media as the publication was not maximum in the company. There were several obstacles faced in carrying out this job training, such as the limited knowledge of the writer about the job description carried out during job training to support the information in the booklet, the lacked of the writer’s skill in design about the cover and the content of the booklet, the limited knowledge of the writer in mastering several languages, grammar, and vocabulary that are often spoken in immigration office. Based on the discussion, there are several conclusions. English is a language that can help the foreign visitors. This English booklet can be very useful because it helps to make it easier for foreign visitors to know about public service information at Immigration Office Class II Tasikmalaya