Pengaruh Kepemimpinan dan Motivasi Intrinsik terhadap Kinerja Karyawan Koperasi Pondok Pesantren Darussalam Kecematan Kabun Kabpaten Rokan Hulu

The purpose of this study is to explain the variable of Leadership and Intrinstic Motivation to the Employee Performance at Cooperative Boarding School Darussalam Kecamatan Kabun Rokan Hulu.The sampling method in this study using census methods, which all members of the population used as a sample, which amounted to 37 people. Data collection methods used were interviews, documentation and providing questionnaires to employees in accordance with the research conducted. Method of Multiple Regression Analysis using SPSS version 17.0The results from this study showed that simultaneously Leadership variabel and Intrinsic Motivation significantly influence the Employee performance at Cooperative Boarding School Darussalam Darussalam Kecamatan Kabun Rokan Hulu. While partially leadership variables influence the performance of the performance, and as well as for intrinsic motivation variable partially influence on employee performance. From the research that has been conducted, the leaders of cooperative boarding school Darussalam should be able to direct the employee to work independently, must have a high level of patience, to be able to adjust to the employee and also to have a good communicating. From intrinsic motivation, cooperative boarding school Darussalam must give feedback, critics and appreciation to employees in order to achieve good performance.Keywords: Leadership, Intrinsic Motivation, Performanc

Advanced Research and Development of Face Masks and Respirators Pre and Post the Coronavirus Disease 2019 (COVID-19) Pandemic: A Critical Review

The outbreak of the COVID-19 pandemic, in 2020, has accelerated the need for personal protective equipment (PPE) masks as one of the methods to reduce and/or eliminate transmission of the coronavirus across communities. Despite the availability of different coronavirus vaccines, it is still recommended by the Center of Disease Control and Prevention (CDC), World Health Organization (WHO), and local authorities to apply public safety measures including maintaining social distancing and wearing face masks. This includes individuals who have been fully vaccinated. Remarkable increase in scientific studies, along with manufacturing-related research and development investigations, have been performed in an attempt to provide better PPE solutions during the pandemic. Recent literature has estimated the filtration efficiency (FE) of face masks and respirators shedding the light on specific targeted parameters that investigators can measure, detect, evaluate, and provide reliable data with consistent results. This review showed the variability in testing protocols and FE evaluation methods of different face mask materials and/or brands. In addition to the safety requirements needed to perform aerosol viral filtration tests, one of the main challenges researchers currently face is the inability to simulate or mimic true aerosol filtration scenarios via laboratory experiments, field tests, and in vitro/in vivo investigations. Moreover, the FE through the mask can be influenced by different filtration mechanisms, environmental parameters, filtration material properties, number of layers used, packing density, fiber charge density, fiber diameter, aerosol type and particle size, aerosol face velocity and concentration loadings, and infectious concentrations generated due to different human activities. These parameters are not fully understood and constrain the design, production, efficacy, and efficiency of face masks

Financial Performance, Audit Delay and Firm Values Banking in Indonesia

Fraud cases in capital market concerning financial report delay were the main issues ofthe research. The aim of this research was to investigate the effect of financial performance,audit delay, and firm value. Population of the research was all companies listedin Indonesian Stock Exchange, from 2011-2013. The total of research samples were 38banking companies with 97 annual reports done by using purposive sampling method.Data analyses used were classical assumption test and hypothesis test with multiplelinear regression analysis. The result of the research showed that financial performancehad a significant influence to audit delay, while financial performance had a significantinfluence to firm value. Meanwhile audit delay did not significantly influence to firmvalue. The practical implication of the research suggested the delay of the financial report\u27sdelivery had an impact toward company\u27s image in front of the stakeholders

Treatment results and prognostic factors of pediatric neuroblastoma: a retrospective study

<p>Abstract</p> <p>Background</p> <p>We conducted a retrospective analysis to investigate treatment results and prognostic factors of pediatric neuroblastoma patients.</p> <p>Methods</p> <p>This retrospective study was carried out analyzing the medical records of patients with the pathological diagnosis of neuroblastoma seen at South Egypt Cancer Institute, Assiut University during the period from January 2001 and January 2010. After induction chemotherapy, response according to international neuoblastoma response criteria was assessed. Radiotherapy to patients with residual primary tumor was applied. Overall and event free survival (OAS and EFS) rates were estimated using Graphed prism program. The Log-rank test was used to examine differences in OAS and EFS rates. Cox-regression multivariate analysis was done to determine the independent prognostic factors affecting survival rates.</p> <p>Results</p> <p>Fifty three cases were analyzed. The median follow-up duration was 32 months and ranged from 2 to 84 months. The 3-year OAS and EFS rates were 39.4% and 29.3% respectively. Poor prognostic factors included age >1 year of age, N-MYC amplification, and high risk group. The majority of patients (68%) presented in high risk group, where treatment outcome was poor, as only 21% of patients survived for 3 year.</p> <p>Conclusion</p> <p>Multivariate analysis confirmed only the association between survival and risk group. However, in univariate analysis, local radiation therapy resulted in significant survival improvement. Therefore, radiotherapy should be given to patients with residual tumor evident after induction chemotherapy and surgery. Future attempts to improve OAS in high risk group patients with aggressive chemotherapy and bone marrow transplantation should be considered.</p

The impact of memory effect on space fractional strong quantum couplers with tunable decay behavior and its numerical simulation

The nontrivial behavior of wave packets in the space fractional coupled nonlinear Schrödinger equation has received considerable theoretical attention. The difficulty comes from the fact that the Riesz fractional derivative is inherently a prehistorical operator. In contrast, nonlinear Schrödinger equation with both time and space nonlocal operators, which is the cornerstone in the modeling of a new type of fractional quantum couplers, is still in high demand of attention. This paper is devoted to numerically study the propagation of solitons through a new type of quantum couplers which can be called time-space fractional quantum couplers. The numerical methodology is based on the finite-difference/Galerkin Legendre spectral method with an easy to implement numerical algorithm. The time-fractional derivative is considered to describe the decay behavior and the nonlocal memory of the model. We conduct numerical simulations to observe the performance of the tunable decay and the sharpness behavior of the time-space fractional strongly coupled nonlinear Schrödinger model as well as the performance of the numerical algorithm. Numerical simulations show that the time and space fractional-order operators control the decay behavior or the memory and the sharpness of the interface and undergo a seamless transition of the fractional-order parameters

Application of Robust Estimation Methods for Detecting and Removing Gross Errors from Close-Range Photogrammetric Data

Systematic, random and gross errors are considered the main problems facing those working in the photo-triangulation processes. The influence of systematic errors on photo-measurements may include lens distortion, film deformation, refraction and other distortions. Usually, these types of errors can be solved by the calibration process. Meanwhile, the traditional least-squares method was used to adjust photogrammetric data in order to solve the problems of random errors. In case observations contain gross errors, the reliability of least-squares estimates is strongly affected. In this paper, two independent mathematical models (photo-variant self-calibration and robust estimation) are combined for solving and processing the problems of systematic and gross errors in one step. Also, this paper investigated the effectiveness of robust estimation models on solving gross errors in close-range photogrammetric data sets that require photo bundle adjustment solution. The results of investigation indicate that all robust methods have the advantage of detecting and removing gross errors over the least squares method especially in cases of observation contains large-sized errors. Moreover, the Modified M-estimator (IGGIII) method has the best performance and accuracy. Furthermore, gross error was also revealed in the residuals

Interpolating Stabilized Element Free Galerkin Method for Neutral Delay Fractional Damped Diffusion-Wave Equation

A numerical solution for neutral delay fractional order partial differential equations involving the Caputo fractional derivative is constructed. In line with this goal, the drift term and the time Caputo fractional derivative are discretized by a finite difference approximation. The energy method is used to investigate the rate of convergence and unconditional stability of the temporal discretization. The interpolation of moving Kriging technique is then used to approximate the space derivative, yielding a meshless numerical formulation. We conclude with some numerical experiments that validate the theoretical findings. © 2021 Mostafa Abbaszadeh et al

Identifikasi Model Fuzzy Pada Proses Distilasi Vakum Bioetanol

Bioetanol merupakan bahan bakar alternatif pengganti bahan bakar fosil. Pada penelitian ini dikembangkan pembuatan bioetanol dengan distilasi vakum pada suhu dan tekanan tertentu. Awal pengembangan yang dilakukan adalah mengidentifikasi plant suhu pada proses distilasi vakum. Struktur model yang digunakan untuk identifikasi sistem adalah ANFIS.Penelitian ini menggunakan sensor suhu PT100 untuk mendeteksi suhu bahan baku. Data dari sensor diproses dan diakuisisi menggunakan mikrokontroler Arduino Mega. Data terkontrol dikirim ke dimmer circuit sebagai driver aktuator elemen pemanas. Sinyal uji yang digunakan sebagai masukan sistem adalah Pseudo Random Binary Sequence (PRBS).Dari pengujian yang telah dilakukan didapatkan hasil pelatihan ANFIS dengan RMSE 0.22527 dan pengecekan ANFIS dengan RMSE 0.2253

An Efficient Hybrid Numerical Scheme for Nonlinear Multiterm Caputo Time and Riesz Space Fractional-Order Diffusion Equations with Delay

In this paper, we construct and analyze a linearized finite difference/Galerkin-Legendre spectral scheme for the nonlinear multiterm Caputo time fractional-order reaction-diffusion equation with time delay and Riesz space fractional derivatives. The temporal fractional orders in the considered model are taken as 0<β0<β1<β2<⋯<βm<1. The problem is first approximated by the L1 difference method on the temporal direction, and then, the Galerkin-Legendre spectral method is applied on the spatial discretization. Armed by an appropriate form of discrete fractional Grönwall inequalities, the stability and convergence of the fully discrete scheme are investigated by discrete energy estimates. We show that the proposed method is stable and has a convergent order of 2-βm in time and an exponential rate of convergence in space. We finally provide some numerical experiments to show the efficacy of the theoretical results. © 2021 A. K. Omran et al.A. K. Omran is funded by a scholarship under the joint executive program between the Arab Republic of Egypt and Russian Federation. M. A. Zaky wishes to acknowledge the support of the Nazarbayev University Program (091019CRP2120). M. A. Zaky wishes also to acknowledge the partial support of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant “Dynamical Analysis and Synchronization of Complex Neural Networks with Its Applications”)

The impact of memory effect on space fractional strong quantum couplers with tunable decay behavior and its numerical simulation

The nontrivial behavior of wave packets in the space fractional coupled nonlinear Schrödinger equation has received considerable theoretical attention. The difficulty comes from the fact that the Riesz fractional derivative is inherently a prehistorical operator. In contrast, nonlinear Schrödinger equation with both time and space nonlocal operators, which is the cornerstone in the modeling of a new type of fractional quantum couplers, is still in high demand of attention. This paper is devoted to numerically study the propagation of solitons through a new type of quantum couplers which can be called time-space fractional quantum couplers. The numerical methodology is based on the finite-difference/Galerkin Legendre spectral method with an easy to implement numerical algorithm. The time-fractional derivative is considered to describe the decay behavior and the nonlocal memory of the model. We conduct numerical simulations to observe the performance of the tunable decay and the sharpness behavior of the time-space fractional strongly coupled nonlinear Schrödinger model as well as the performance of the numerical algorithm. Numerical simulations show that the time and space fractional-order operators control the decay behavior or the memory and the sharpness of the interface and undergo a seamless transition of the fractional-order parameters. © 2021, The Author(s).This study was supported financially by RFBR Grant (19-01-00019), the National Research Centre of Egypt (NRC) and Ghent university