Analisis Perbandingan Hubungan Perdagangan Surat Berharga Syariah Negara dan Variabel Makro Ekonomi Sebelum dan Selama Pandemi Covid-19

The development of Islamic finance has been very rapid in the last 10 years. From many varoius products, one instrument of Islamic finance that can drives economic growth is sukuk. One type of sukuk issued by Indonesian government is State Sharia Securities (SBSN). this study uses interest rate, exchange rate, and inflation as independent variables. The results of this study reveal that the interest rate variable has no significant impact on SBSN trading through transactions in the secondary market. However, there is a change in interest rate before and after the covid era. Then the exchange rate variable also does not have significant effect on SBSN but it also has an increasing coefficient change after the pandemic happened. Then finally there is inflation that does not have a significant effect on SBSN. However, there is also a change in coefficient which was initially positive to negative after the covid 19 pandemic

One Day Ahead Prediction of Wind Speed Class by Statistical Models

This paper deals with the clustering of daily wind speed time series based on two features, namely the daily average wind speed and the corresponding degree of fluctuation. Daily values of the feature pairs are first classified by means of the fuzzy c-means unsupervised clustering algorithm and then results are used to train a supervised MLP neural network classifier. It is shown that associating to a true wind speed time series a time series of classes allows performing some useful statistics. Further, the problem of predicting the class of daily wind speed 1-step ahead is addressed by using both the Hidden Markov Models (HMM) and the Non-linear Auto-Regressive (NAR) approaches. The performances of the considered class prediction models are finally assessed in terms of True Positive rate (TPR) and True Negative rate (TNR), also in comparison with the persistent model

A road map for applied data sciences supporting sustainability in advanced manufacturing: the information quality dimensions

Abstract Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. Sustainability is a critical asset of a manufacturing enterprise. It enables a business to differentiate itself from competitors and to compete efficiently and effectively to the best of its ability. This paper is a review of data analytics, and how it supports advanced manufacturing with an emphasis on sustainability. The objective is to present a context for a roadmap for applied data science addressing such analytic challenges. We start with a general introduction to advanced manufacturing and trends in modern analytics tools and technology. We then list challenges of analytics supporting advanced manufacturing and sustainability aspects. The information quality (InfoQ) framework is proposed as a backbone to evaluate the analytics needed in advanced manufacturing. The eight InfoQ dimensions are: 1) Data Resolution, 2) Data Structure, 3) Data Integration, 4) Temporal Relevance, 5) Chronology of Data and Goal, 6) Generalizability, 7) Operationalization and 8) Communication. These dimensions provide a classification of advanced manufacturing analytics domains. The paper provides a roadmap for the development of applied analytic techniques supporting advanced manufacturing and sustainability. The objective is to motivate researchers, practitioners and industrialists to support such a roadmap

Direct observation of irradiation-induced nanocavity shrinkage in Si

Nanocavities in Si substrates, formed by conventional H implantation and thermal annealing, are shown to evolve in size during subsequent Si irradiation. Both ex situ and in situ analytical techniques were used to demonstrate that the mean nanocavity diameter decreases as a function of Si irradiation dose in both the crystalline and amorphous phases. Potential mechanisms for this irradiation-induced nanocavity evolution are discussed. In the crystalline phase, the observed decrease in diameter is attributed to the gettering of interstitials. When the matrix surrounding the cavities is amorphized, cavity shrinkage may be mediated by one of two processes: nanocavities can supply vacancies into the amorphous phase and/or the amorphous phase may flow plastically into the nanocavities. Both processes yield the necessary decrease in density of the amorphous phase relative to crystalline material

Potensi Wakaf sebagai Islamic Social Finance dalam Pemulihan Ekonomi Indonesia Pasca Pandemi Covid-19

The pandemic that has occurred since 2020 has increase unemployment as well as micro, small and medium enterprises (MSMEs) which have suffered losses and exit from the market. These cause unstability condition of the Indonesian economy. Alternative solution that can be explored is Islamic Social Finance, one of which is waqf. Unfortunately, the huge potential of waqf is not followed by the realization which is so lomited. Therefore, many ways are needed to realise the potential of waqf. One that can be applied is to increase the use of cash waqf which can be channeled into qardhul hasan loan capital for people in need and another way, namely Cash Waqf Linked Sukuk. This study uses a descriptive qualitative approach and library research techniques, where the data is obtained from various literatures in the form of journals, articles, survey reports, and the results of previous research. By using the AD-AS curve analysis, if waqf is used as an Islamic social finance instrument as an economic recovery and its management runs optimally, they will be able to increase aggregate demand and aggregate supply so it will have a positive effect on the country's economic growth

Mechanism of improvement of TiN-coated tool life by nitrogen implantation

The life of TiN-coated tools can be improved by a post-coating ion implantation treatment, but the mechanism by which this occurs is still not clear. Nitrogen implantation of both physical-vapor-deposited TiN and CVD TiN leads to surface softening as the dose increases, which has been attributed to amorphization. In this study a combination of transmission electron microscopy and atomic force microscopy was used to characterize the microstructure of implanted TiN coatings on cemented carbide for comparison with mechanical property measurements (nanoindentation, residual stress, etc.), made on the same samples. Ion implantation leads to a slight reduction in the grain size of the TiN in the implanted zone, but there is no evidence for amorphization. Surface softening is observed for physical-vapor-deposited TiN, but this is probably due to a combination of changes in surface composition and the presence of a layer of bubbles generated by the very high implantation doses use

Magnetic field resistant quantum interferences in bismuth nanowires based Josephson junctions

We investigate proximity induced superconductivity in micrometer-long bismuth nanowires con- nected to superconducting electrodes with a high critical field. At low temperature we measure a supercurrent that persists in magnetic fields as high as the critical field of the electrodes (above 11 T). The critical current is also strongly modulated by the magnetic field. In certain samples we find regular, rapid SQUID-like periodic oscillations occurring up to high fields. Other samples ex- hibit less periodic but full modulations of the critical current on Tesla field scales, with field-caused extinctions of the supercurrent. These findings indicate the existence of low dimensionally, phase coherent, interfering conducting regions through the samples, with a subtle interplay between orbital and spin contributions. We relate these surprising results to the electronic properties of the surface states of bismuth, strong Rashba spin-orbit coupling, large effective g factors, and their effect on the induced superconducting correlations.Comment: 5 page