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In the context of the high-dimensional Gaussian linear regression for ordered variables, we study the variable selection procedure via the minimization of the penalized least-squares criterion. We focus on model selection where we propose to control predictive risk and False Discovery Rate simultaneously. For this purpose, we obtain a convenient trade-off thanks to a proper calibration of the hyperparameter K appearing in the penalty function. We obtain non-asymptotic theoretical bounds on the False Discovery Rate with respect to K. We then provide an algorithm for the calibration of K. It is based on completely observable quantities in view of applications. Our algorithm is validated by an extensive simulation study., 37 pages, 9 figures, 1 algorithm, 1 table

Penelitian ini bertujuan untuk memahami indikator yang dapat mempengaruhi profitabilitas ROA dalam bank umum syariah. Indikator yang digunakan pada penelitian ini ialah Financing To Deposit Ratio, Debt To Equity Ratio, dan Current Ratio dengan Non Performing Financing sebagai variabel moderating pada bank umum syariah di Indonesia periode 2015-2019. Total sampel pada penelitian ini yaitu sebanyak 11 bank umum syariah di Indonesia yang dipilih menggunakan metode Purposive Sampling. Penelitian ini menggunakan jenis penelitian data panel dan diuji menggunakan analisis regresi linear berganda. Hasil penelitian menunjukan bahwa secara simultan FDR, DER dan Current Ratio terdapat pengaruh secara signifikan terhadap ROA. Namun secara parsial FDR dan DER memiliki pengaruh negatif terhadap ROA, Current Ratio berpengaruh positif terhadap ROA. Berdasarkan uji MRA (Moderated Regression Analysis), NPF dapat memperkuat pengaruh FDR terhadap ROA, namun NPF tidak dapat memoderasi DER terhadap ROA, Sedangkan NPF dapat melemahkan Current Ratio terhadap ROA.

Sample size calculation for adequate power analysis is critical in optimizing RNA-seq experimental design. However, the complexity increases for directly estimating sample size when taking into consideration confounding covariates. Although a number of approaches for sample size calculation have been proposed for RNA-seq data, most ignore any potential heterogeneity. In this study, we implemented a simulation-based and confounder-adjusted method to provide sample size recommendations for RNA-seq differential expression analysis. The data was generated using Monte Carlo simulation, given an underlined distribution of confounding covariates and parameters for a negative binomial distribution. The relationship between the sample size with the power and parameters, such as dispersion, fold change and mean read counts, can be visualized. We demonstrate that the adjusted sample size for a desired power and type one error rate of α is usually larger when taking confounding covariates into account. More importantly, our simulation study reveals that sample size may be underestimated by existing methods if a confounding covariate exists in RNA-seq data. Consequently, this underestimate could affect the detection power for the differential expression analysis. Therefore, we introduce confounding covariates for sample size estimation for heterogeneous RNA-seq data.

Perbankan syariah di Indoneisa menghadapi sejumlah tantangan di tengah wabah Covid-19. Di masa pandemi Covid 19 saat ini, Perbankan syariah akan menghadapi beberapa kemungkinan resiko terhadap kinerja keuangan. Untuk itu perlu di lakukan Penelitian untuk menganalisis dampak Covid-19 terhadap kinerja keuangan Perbankan Syariah dengan melakukan analisa Laporan Keuangan menggunakan rasio keuangan yaitu rasio Return On Asset (ROA), Capital Adequacy Ratio (CAR), Non Performing Finance (NPF) dan Financing Deposit to Ratio (FDR). Penelitian ini adalah penelitian kuantitatif dengan pendekatan deskriptif. Data yang diambil adalah 6 Bulan (September 2019-Februari 2020) sebelum dan 6 Bulan (April 2020-September 2020) setelah diumumkannya kasus pertama Covid-19 yaitu pada 2 Maret 2020. Data diolah dengan paired sample t-tes, dengan menggunakan SPSS versi 25. Dari hasil pengolah data, menunjukkan Secara keseluruhan dampak Covid-19 terhadap kinerja keuangan perbankan syariah di Indonesia yang dilihat dari hasil tabel Uji Beda (Uji Paired Sample T-Test) rasio CAR, ROA, NPF dan FDR tidak signifikan menunjukan adanya perbedaan kinerja keuangan.

Funder: GlaxoSmithKline foundation; doi: http://dx.doi.org/10.13039/501100002066, BACKGROUND: Genome-wide association studies (GWAS) are limited in power to detect associations that exceed the stringent genome-wide significance threshold. This limitation can be alleviated by leveraging relevant auxiliary data, such as functional genomic data. Frameworks utilising the conditional false discovery rate have been developed for this purpose, and have been shown to increase power for GWAS discovery whilst controlling the false discovery rate. However, the methods are currently only applicable for continuous auxiliary data and cannot be used to leverage auxiliary data with a binary representation, such as whether SNPs are synonymous or non-synonymous, or whether they reside in regions of the genome with specific activity states. RESULTS: We describe an extension to the cFDR framework for binary auxiliary data, called "Binary cFDR". We demonstrate FDR control of our method using detailed simulations, and show that Binary cFDR performs better than a comparator method in terms of sensitivity and FDR control. We introduce an all-encompassing user-oriented CRAN R package ( https://annahutch.github.io/fcfdr/ ; https://cran.r-project.org/web/packages/fcfdr/index.html ) and demonstrate its utility in an application to type 1 diabetes, where we identify additional genetic associations. CONCLUSIONS: Our all-encompassing R package, fcfdr, serves as a comprehensive toolkit to unite GWAS and functional genomic data in order to increase statistical power to detect genetic associations.

Whole brain ionic and metabolic imaging has potential as a powerful tool for the characterization of brain diseases. In this study we combined sodium MRI (23Na MRI) and 1H-MR Spectroscopic Imaging (1H-MRSI) and compared ionic/metabolic changes probed by this multimodal approach to intracerebral stereotactic-EEG (SEEG) recordings.We applied a multi-echo density adapted 3D projection reconstruction pulse sequence at 7T (23Na MRI) and a 3D echo planar spectroscopic imaging sequence at 3T (1H-MRSI) in 19 patients suffering from drug-resistant focal epilepsy who underwent presurgical SEEG. We investigated 23Na MRI parameters including total sodium concentration (TSC) and the sodium signal fraction associated of with the short component of T2* decay (f), alongside the level of metabolites N-acetyl aspartate (NAA), choline compounds (Cho) and total creatine (tCr). All measures were extracted from spherical regions of interest (ROIs) centered between two adjacent SEEG electrode contacts and z-scored against the same ROI in controls.Group comparison showed a significant increase in f only in the epileptogenic zone (EZ) compared to controls and compared to patients propagation zone (PZ) and non-involved zone (NIZ). TSC was significantly increased in all patients’ regions compared to controls. Conversely, NAA levels were significantly lower in patients compared to controls, and lower in the EZ compared to PZ and NIZ. Multiple regression analyzing the relationship between sodium and metabolites levels revealed significant relations in PZ and in NIZ but not in EZ.Our results are in agreement with the energetic failure hypothesis in epileptic regions associated with widespread tissue reorganization.

This study analyzes the macroeconomic and fundamentals of Islamic banking factors towards the non-performing financing (NPF) of Bank Muamalat Indonesia in the long run and short-run period 2005-2018. The data used in this study are quarterly time-series data of Bank Muamalat Indonesia Financial Report as the source of fundamentals of Islamic banking data and Bank Indonesia Monetary Policy Review as the source of macroeconomic data period 2005 - 2018. The analytical method used is the Error Correction Model (ECM). This study shows that in the long run, inflation, central bank (Bank Indonesia/BI) Rate, and capital adequacy ratio (CAR) significantly affect the NPF; meanwhile, the financing to deposit (FDR) ratio does not affect NPF. In the short term context, only CAR has a significant effect, yet inflation, BI Rate, and FDR have no significant impact on NPF. Thus, the novelty can present the result of analysis of factors that affect NPF in the long run and short run. The limitation of the study is the use of time-series data that are very likely to spurious regression.Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh faktor makroekonomi dan fundamental perbankan syariah terhadap NPF Bank Muamalat Indonesia dalam jangka panjang dan jangka pendek periode 2005-2018. Data yang digunakan dalam penelitian ini yaitu data runtun waktu Laporan Keuangan Triwulan Bank Muamalat Indonesia sebagai sumber data fundamental perbankan syariah dan Tinjauan Kebijakan Moneter Bank Indonesia sebagai sumber data makroekonomi periode 2005 – 2018. Faktor makroekonomi diwujudkan dalam variabel Inflasi dan BI Rate. Faktor fundamental perbankan syariah diwujudkan dalam variabel CAR dan FDR. Alat analisis yang digunakan yaitu Error Correction Model (ECM). Hasil analisis menunjukkan dalam jangka panjang Inflasi, BI Rate, dan CAR dengan nilai signifikansi 0.0026, 0.0001, dan 0.0032 berpengaruh signifikan dan FDR dengan nilai signifikansi 0.6940 tidak berpengaruh signifikan terhadap NPF. Dalam jangka pendek hanya CAR dengan nilai signifikansi 0.0056 yang berpengaruh signifikan sedangkan Inflasi, BI Rate, dan FDR dengan nilai signifikansi 0.0666, 0.9532, and 0.2065 berpengaruh tidak signifikan terhadap NPF. Kebaharuan penelitian ini yaitu penelitian ini mampu menyajikan hasil analisis faktor-faktor yang mempengaruhi NPF dalam jangka panjang dan jangka pendek. Meski begitu, terdapat juga limitasi pada penelitian ini yaitu penggunaan data time series yang rawan terkena regresi lancung.

Finding differentially expressed circular RNAs (circRNAs) is instrumental to understanding the molecular basis of phenotypic variation between conditions linked to circRNA-involving mechanisms. To date, several methods have been developed to identify circRNAs, and combining multiple tools is becoming an established approach to improve the detection rate and robustness of results in circRNA studies. However, when using a consensus strategy, it is unclear how circRNA expression estimates should be considered and integrated into downstream analysis, such as differential expression assessment. This work presents a novel solution to test circRNA differential expression using quantifications of multiple algorithms simultaneously. Our approach analyzes multiple tools' circRNA abundance count data within a single framework by leveraging generalized linear mixed models (GLMM), which account for the sample correlation structure within and between the quantification tools. We compared the GLMM approach with three widely used differential expression models, showing its higher sensitivity in detecting and efficiently ranking significant differentially expressed circRNAs. Our strategy is the first to consider combined estimates of multiple circRNA quantification methods, and we propose it as a powerful model to improve circRNA differential expression analysis.

“Pengaruh Financing to Deposit Ratio (FDR), Biaya Operasional per Pendapatan Operasional (BOPO), Non Performing Financing (NPF), dan Capital Adequacy Ratio (CAR) Terhadap Return On Assets (ROA) pada PT. Bank Syariah Mandiri Periode 2012-2019”. Tujuan penelitian ini adalah untuk mengetahui pengaruh FDR, BOPO, NPF, dan CAR terhadap ROA pada PT. Bank Syariah Mandiri Periode 2012-2019. Populasi yang digunakan dalam penelitian ini adalah semua Laporan Keuangan PT. Bank Syariah Mandiri dengan menggunakan teknik purposive sampling dengan kriteria yang ditetapkan penulis. Analisis yang digunakan adalah metode analisis regresi linier berganda. Berdasarkan hasil pengujian secara simultan diperoleh bahwa variabel FDR, BOPO, NPF, dan CAR secara simultan mempunyai pengaruh positif dan signifikan terhadap ROA pada PT. Bank Syariah Mandiri Periode 2012-2019, sedangkan secara parsial variabel FDR mempunyai pengaruh positif dan signifikan terhadap ROA pada PT. Bank Syariah Mandiri, BOPO mempunyai pengaruh negatif dan signifikan sekaligus dominan terhadap ROA pada PT. Bank Syariah Mandiri, NPF mempunyai pengaruh negatif dan tidak signifikan terhadap ROA pada PT. Bank Syariah Mandiri, dan CAR mempunyai pengaruh positif dan tidak signifikan terhadap ROA pada PT. Bank Syariah Mandiri.

Accurate determination of soil water contents (SWC) is crucially important in many scientific fields, particularly in agriculture. In this study, the performance of conventional FDR MI2X and New WiTu Technology water sensors was statistically evaluated under the impact of changing vegetative cover type (corn and weeds). A three replicated randomized complete block design (RCBD) field experiment was conducted from late April to August, 2019. The spring corn Nongda-1505 variety was planted and the field was left unsown to allow weeds to grow. To determine the SWC, six WiTu Technology sensors were installed in the middle of each plot. For FDR sensor measurements, PVC tubes were inserted at 30 cm distance from WiTu sensors and soil samples from the 0-20 cm, 20-40 cm and 40-60 cm depths were taken using soil sampling auger for measurement of gravimetric water content. Both FDR and new Technology of WiTu sensors showed varied performance as soil depth increased from the top layer to deep layer. FDR efficiency was significantly high at the topsoil layer (0-20 cm) with an average accuracy level of 98.01% and reduced in the middle soil layer to 91.78%, then increased to 95.13% in the deep soil layer. While, the average accuracy of the WiTu Technology sensor ranged 98.24%, 95.85% and 92.02% for top, middle and deep soil layers, respectively, these results demonstrate that the soil water detection ability of WiTu Technology is high at the soil depth of 0-40 cm, whereas FDR's ability to detect SWC changes is satisfactory in top to deep layers and low in the middle layer. Furthermore, the FDR showed good consistency with WiTu in all soil layers of the corn field, but there was a larger error for the weed field, which indicated a huge difference in the data measured by FDR and WiTu Technology. The SWC estimation of FDR and WiTu technology more fluctuated with changing vegetation cover type. Thus, the findings of this study provide an opportunity to further study on FDR MI2X and New WiTu Technology sensors for deep-rooted crops under the soil and climatic conditions of Zhengzhou, China.

1936 brought a lot more than the re-election of president Franklin Delano Roosevelt. It was also a year which brought a broad and radical challenge to the New Deal reform policies. American democracy demonstrated its com­plexity and unfinishedness. The conflict between FDR and the Supreme Court has many dimensions: institutional – conflict between the govern­ment (the president, Congress and the Administration) and the US Supre­me Court over the range of powers of each actor; political – regarding the accountability of political elites; socio-economic – regarding the direction of development of American democracy; philosophical – over the meaning of liberty; legal – regarding the separation of powers between the levels of government; personal – between persons and personalities represen­ting divergent visions of power; and historical – reviving the constitutional debates from the early republic. For some, the clash between FDR and the USSC touched the very essence of the representative democracy. After a year, the level of tensions subsided and all parties were scarred, yet the po­litical system as such demonstrated its resilience. Its outcome to these days serves as a pretext for deliberations about the relations between leaders and followers. Events in America may be useful for all countries where the auto­nomy of the judicial branch of government becomes a political issue.

The IL-17A inhibitor secukinumab is efficacious for the treatment of psoriasis. To better understand its mechanism of action, we investigated its impact on psoriatic lesions from 15 patients with moderate-to-severe plaque psoriasis undergoing secukinumab treatment. We characterized the longitudinal transcriptomic changes of whole lesional skin tissue as well as cutaneous CD4+ and CD8+ T effector cells and CD4+ T regulatory cells across 12 weeks of treatment. Secukinumab was clinically effective and reduced disease-associated overexpression of IL17A , IL17F, IL23A, IL23R, and IFNG in whole tissue as soon as 2 weeks after initiation of treatment. IL17A overexpression in T-cell subsets, primarily CD8+ T cells, was also reduced. Although secukinumab treatment resolved 89‒97% of psoriasis-associated expression differences in bulk tissue and T-cell subsets by week 12 of treatment, we observed expression differences involved in IFN signaling and metallothionein synthesis that remained unresolved at this time point as well as potential treatment-associated expression differences involved in IL-15 signaling. These changes were accompanied by shifts in broader immune cell composition on the basis of deconvolution of RNA-sequencing data. In conclusion, our study reveals several phenotypic and cellular changes within the lesion that underlie clinical improvement from secukinumab.

This study aims to analyze the effect of internal and external factors on the profitability of Islamic commercial banks in Indonesia during 2012-2018. The internal factors used in this study are derived from bank-specific factors such as capital adequacy ratio (CAR), efficiencyratio/operation costs on operating income (BOPO), financing to deposit ratio (FDR), and nonperforming financing(NPF).Theexternalfactorused inthisstudysuchas interestrate,inflation,andGross Domestic Product (GDP). The profitability of Sharia Comercial Banks proxied byReturn on Assets (ROA). The Population of this study is 11 Sharia Commercial Banks that publishfinancial reports during the quarterly period 2012-2018. The novelty of this study such as,comprehensive study of Sharia Banking, using quarterly data, using macroeconomic factorswhich in previous studies were not discussed in-depth, and using panel data regression analysis.The result of this study indicates that CAR and GDP have a significant positive effect on ROA. Meanwhile, BOPO, FDR, and NPF have a significant negative effect on ROA. &nbsp

This material presented in ICU: DIHEc 2020 Surabaya Indonesia

BACKGROUND: Whole-genome transcription has been measured in peripheral blood samples as a candidate biomarker of inflammation associated with major depressive disorder. METHODS: We searched for all case-control studies on major depressive disorder that reported microarray or RNA sequencing measurements on whole blood or peripheral blood mononuclear cells. Primary datasets were reanalyzed, when openly accessible, to estimate case-control differences and to evaluate the functional roles of differentially expressed gene lists by technically harmonized methods. RESULTS: We found 10 eligible studies (N = 1754 depressed cases and N = 1145 healthy controls). Fifty-two genes were called significant by 2 of the primary studies (published overlap list). After harmonization of analysis across 8 accessible datasets (n = 1706 cases, n = 1098 controls), 272 genes were coincidentally listed in the top 3% most differentially expressed genes in 2 or more studies of whole blood or peripheral blood mononuclear cells with concordant direction of effect (harmonized overlap list). By meta-analysis of standardized mean difference across 4 studies of whole-blood samples (n = 1567 cases, n = 954 controls), 343 genes were found with false discovery rate

International audience; In this study, a multiple-comparison approach is developed for detecting faint hyperspectral sources. The detection method relies on a sparse and non-negative representation on a highly coherent dictionary to track a spatially varying source. A robust control of the detection errors is ensured by learning the test statistic distributions on the data. The resulting control is based on the false discovery rate, to take into account the large number of pixels to be tested. This method is applied to data recently recorded by the three-dimensional spectrograph Multi-Unit Spectrograph Explorer (MUSE).

Macroeconomic factors and internal factors are variables that affect sharia banking. These factors are GDP, inflation, and interest rates, FDR, OER, which can affect directly or indirectly, the financial performance of sharia banks in Indonesia. The result has shown GDP has a significant positive effect on ROA, it is matching with several previous research, Inflation has no significant and negative effect on ROA, because when inflation central bank will give policy to increase BI rate, and sharia bank doesn’t affect with interest rate because interest is riba, interest rate has no significant effect on ROA because sharia bank doesn’t effect with interest but use profit and loss sharing to financing, so in macroeconomic the result only GDP has significant and positive effect on ROA. The result has shown FDR has no significant effect on ROA but has positive effect and the result match with previous research in relationship FDR and ROA, OER has a significant negative effect on ROA

Summary Having identified that the lack of replicability of results in earlier phases of clinical medical research stems largely from unattended selective inference, we offer a new hierarchical weighted false discovery rate controlling testing procedure alongside the single-level weighted procedure. These address the special structure of clinical research, where the comparisons of treatments involve both primary and secondary endpoints, by assigning weights that reflect the relative importance of the endpoints in the error being controlled. In the hierarchical method, the primary endpoints and a properly weighted intersection hypothesis that represents all secondary endpoints are tested. Should the intersection hypothesis be among the rejected, individual secondary endpoints are tested. We identify configurations where each of the two procedures has the advantage. Both offer higher power than competing hierarchical (gatekeeper) familywise error-rate controlling procedures being used for drug approval. By their design, the advantage of the proposed methods is the increased power to discover effects on secondary endpoints, without giving up the rigor of addressing their multiplicity.

This study aims to determine the effect of profitability ratio (ROA) the cost-revenue ratio (BOPO) and financing to deposit ratio (FDR) toward profit sharing of time deposit mudharaba in Islamic banking in Indonesia. This research is a quantitative study using heading the entire population of Islamic banks in Indonesia and the sample was selected using purposive sampling method. Samples were obtained at 7 Islamic banks and research data in the form of quarterly reports Islamic Banks 2011-2014 period. The analysis namely with the used is a multiple linear regression analysis. The results of the data analysis showed that ROA, BOPO and FDR significant positive effect on the level of profit sharing of time deposit mudharaba. Is divided in changes in the rise and fall rate for the time deposits mudharaba can be explained 47.9 percent by ROA, BOPO and FDR, while 52.1 percent can be explained by other variables not examinedDOI: 10.15408/etk.v15i1.3109

This study aims to analyze the significance effect of Minimum Capital Requirement (KPMM), Financing to Deposit Ratio (FDR), Operating Expenses to Operations Revenue (BOPO), and Gross Domestic Product (GDP) toward Non-Performing financing (NPF) at Sharia Commercial Banks in Indonesia. This study uses analysis multiple linear regression (PLS) method. The sample in this study is the quarterly Sharia Commercial Banks (BUS) in the period of 2014-2019. The result of this study showed that KPMM, FDR, BOPO, and GDP simultaneously have a significant effect toward NPF. Partially KPMM, FDR, and BOPO have a significant effect toward NPF, and GDP partially not significant effect toward NPF in Indonesia Sharia Commercial Banks period 2014-2019.

Ben Hecht had seen his share of death-row psychopaths, crooked ward bosses, and Capone gun thugs by the time he had come of age as a crime reporter in gangland Chicago. His grim experience with what he called “the soul of man” gave him a kind of uncanny foresight a decade later, when a loose cannon named Adolf Hitler began to rise to power in central Europe. In 1932, Hecht solidified his legend as "the Shakespeare of Hollywood" with his thriller Scarface, the Howard Hughes epic considered the gangster movie to end all gangster movies. But Hecht rebelled against his Jewish bosses at the movie studios when they refused to make films about the Nazi menace. Leveraging his talents and celebrity connections to orchestrate a spectacular one-man publicity campaign, he mobilized pressure on the Roosevelt administration for an Allied plan to rescue Europe’s Jews. Then after the war, Hecht became notorious, embracing the labels “gangster” and “terrorist” in partnering with the mobster Mickey Cohen to smuggle weapons to Palestine in the fight for a Jewish state. The Notorious Ben Hecht: Iconoclastic Writer and Militant Zionist is a biography of a great twentieth century writer that treats his activism during the 1940s as the central drama of his life. It details the story of how Hecht earned admiration as a humanitarian and vilification as an extremist at this pivotal moment in history, about the origins of his beliefs in his varied experiences in American media, and about the consequences. Who else but Hecht could have drawn the admiration of Ezra Pound, clowned around with Harpo Marx, written Notorious and Spellbound with Alfred Hitchcock, launched Marlon Brando’s career, ghosted Marilyn Monroe’s memoirs, hosted Jack Kerouac and Salvador Dalí on his television talk show, and plotted revolt with Menachem Begin? Any lover of modern history who follows this journey through the worlds of gangsters, reporters, Jazz Age artists, Hollywood stars, movie moguls, political radicals, and guerrilla fighters will never look at the twentieth century in the same way again., https://docs.lib.purdue.edu/purduepress_previews/1025/thumbnail.jpg

Having experienced significant growth, sharia commercial bank in Indonesia has become one of the drivers of economic growth in Indonesia. This study aims to analyze the effect of macroeconomic and financial ratios on the profitability of Islamic commercial banks in Indonesia. This study used qualitative data using secondary data during the period 2011-2018. The methodology used is panel data which combines time series data and cross section data. Variables used include Non Performing Finance (NPF), Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), Operational Efficiency Ratio (OER), Inflation, Domestic Product Growth (GDP), and Exchange Rates. The results of this study indicate that Non-Performing Finance (NPF), Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), Operational Efficiency Ratio (OER) have a significant influence on Islamic Bank Return On Assets (ROA) in Indonesia. Meanwhile, Growth Domestic Product (GDP), and Exchange Rate appear with no significant effect on the Return on Assets (ROA) of Sharia Commercial Banks in Indonesia.

Research aims to test the influence of macroeconomic and microeconomic factors in the problem financing of Sharia Bank in Indonesia. The indicators of macroeconomic and microeconomic factors are inflation, BI Rate, CAR and FDR. The indicators of problematic financing of Sharia Bank in Indonesia is NPF. The research method uses a quantitative approach with multiple linear regression analysis techniques. Data used secondary data in the form of a monthly data From The Financial Report of Sharia Commercial Bank and Sharia Business Unit published by Sharia Banking Directorate, Bank Indonesia and the Bank Licensing and Banking Information Department, Indonesia Financial Services Authority through Sharia Banking Statistics Bank Indonesia/Indonesia Financial Services Authority from January 2006 to Juli 2016. The following research results: (1) The model estimate shows its R Square value of 0,319 representing the value of coefficient of determination. This means that 31,90% of the variable variations of the NPF are capable of being described by free variables in this model. The remaining 68,10% is explained by other reasons that do not fit into the model; (2) A regression model on the independent variable simultaneously affects the dependent variable, so that the independent variable regression model can be used to predict the dependent variable; and (3) Inflation and BI Rate significantly influence on NPF, but CAR and FDR have no impact on NPF.

Objectives Minimal clinically important differences (MCIDs) are used as fixed numbers in the interpretation of clinical trials. Little is known about its dynamics. This study aims to explore the impact of baseline score, study setting, and patient characteristics on health status MCIDs in chronic obstructive pulmonary disease (COPD). Study Design and Setting Baseline and follow-up data on the COPD Assessment Test (CAT), Clinical COPD Questionnaire (CCQ), and St. George's Respiratory Questionnaire (SGRQ) were retrospectively analyzed from pulmonary rehabilitation (PR) and routine clinical practice (RCP). Anchor- and distribution-based MCID estimates were calculated and tested between settings, gender, age, Global initiative for Obstructive Lung Disease (GOLD) classification, comorbidities, and baseline health status. Results In total, 658 patients were included with 2,299 change score measurements. MCID estimates for improvement and deterioration ranged for all subgroups 0.50–6.30 (CAT), 0.10–0.84 (CCQ), and 0.33–12.86 (SGRQ). Larger MCID estimates for improvement and smaller ones for deterioration were noted in patients with worse baseline health status, females, elderly, GOLD I/II patients, and patients with less comorbidities. Estimates from PR were larger. Conclusion Baseline health status and setting affected MCID estimates of COPD health status questionnaires. Patterns were observed for gender, age, spirometry classification, and comorbidity levels. These outcomes would advocate the need for tailored MCIDs.

Pengaruh Pendapatan Pelanggan, Modal Bisnis, Margin, Dan Nilai Collateral Terhadap Pembiayaan Murabahah Pada Bank Bni Syariah Mikro Kantor Cabang Pembantu Praya. Penelitian ini bertujuan untuk mengukur efisiensi Bank Umum Syariah hasil pemisahan dan non-pemisahan serta menganalisis perbedaan efisiensi Bank Umum Syariah hasil pemisahan dan non-pemisahan. Selain itu, juga akan menganalisis pengaruh ukuran bank, Capital Adequacy Ratio (CAR), Return on Assets (ROA), Non Performing Financing (NPF), Financing to Deposit Ratio (FDR) serta Biaya Operasional terhadap Pendapatan Operasional (BOPO) terhadap efisiensi. Populasi dalam penelitian ini sebanyak 13 Bank Umum Syariah, sedangkan sampel dalam penelitian ini adalah sebanyak 6 Bank Umum Syariah yang terbagi menjadi 2 kelompok bank yaitu bank hasil pemisahan dan bank bukan hasil pemisahan. Metode yang digunakan untuk mengukur efisiensi adalah Stochastic Frontier Approach (SFA) dengan pendekatan intermediasi. Uji Mann Whitney U-Test digunakan untuk menganalisis perbedaan Bank Umum Syariah hasil pemisahan dan non-pemisahan.Metode Generalized Least Squared (GLS) digunakan untuk mengetahui pengaruh faktor determinan terhadap efisiensi. Hasil penelitian ini menunjukkan bahwa tidak terdapat perbedaan efisiensi antara Bank Umum Syariah hasil pemisahan dan non-pemisahan. Hasil penelitian lainnya menunjukkan bahwa ukuran bank dan FDR berpengaruh positif signifikan terhadap efisiensi, serta NPF berpengaruh negatif signifikan terhadap efisiensi.

BackgroundThe ability of finding complex associations in large omics datasets, assessing their significance, and prioritizing them according to their strength can be of great help in the data exploration phase. Mutual Information based measures of association are particularly promising, in particular after the recent introduction of the TICeand MICeestimators, which combine computational efficiency with good bias/variance properties. Despite that, a complete software implementation of these two measures and of a statistical procedure to test the significance of each association is still missing.FindingsIn this paper we present MICtools, a comprehensive and effective pipeline which combines TICeand MICeinto a multi-step procedure that allows the identification of relationships of various degrees of complexity. MICtools calculates their strength assessing statistical significance using a permutation-based strategy. The performances of the proposed approach are assessed by an extensive investigation in synthetic datasets and an example of a potential application on a metagenomic dataset is also illustrated.ConclusionsWe show that MICtools, combining TICeand MICe, is able to highlight associations that would not be captured by conventional strategies. MICtools is implemented in Python, and is available for download athttps://github.com/minepy/mictools.

Background & Aims Multicopper ferroxidases (MCFs) facilitate intestinal iron absorption and systemic iron recycling, likely by a mechanism involving the oxidization of Fe2+ from the iron exporter ferroportin 1 for delivery to the circulating Fe3+ carrier transferrin. Hephaestin (HEPH), the only MCF known to be expressed in enterocytes, aids in the basolateral transfer of dietary iron to the blood. Mice lacking HEPH in the whole body (Heph-/-) or intestine alone (Hephint/int) exhibit defects in dietary iron absorption but still survive and grow. Circulating ceruloplasmin (CP) is the only other known MCF likely to interact with enterocytes. Our aim was to assess the effects of combined deletion of HEPH and CP on intestinal iron absorption and homeostasis in mice. Methods Mice lacking both HEPH and CP (Heph-/-Cp-/-) and mice with whole-body knockout of CP and intestine-specific deletion of HEPH (Hephint/intCp-/-) were generated and phenotyped. Results Heph-/-Cp-/- mice were severely anemic and had low serum iron, but they exhibited marked iron loading in duodenal enterocytes, the liver, heart, pancreas, and other tissues. Hephint/intCp-/- mice were moderately anemic (similar to Cp-/- mice) but were iron loaded only in the duodenum and liver, as in Hephint/int and Cp-/- mice, respectively. Both double knockout models absorbed iron in radiolabeled intestinal iron absorption studies, but the iron was inappropriately distributed, with an abnormally high percentage retained in the liver. Conclusions These studies indicate that HEPH and CP, and likely MCFs in general, are not essential for intestinal iron absorption but are required for proper systemic iron distribution. They also point to important extra-intestinal roles for HEPH in maintaining whole-body iron homeostasis., Graphical abstract

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase the power of detecting true between-group effects. We present an adaptive strategy that exploits the data structure and the prior information concerning positive dependence between nodes and connections, without relying on strong assumptions. As a first step, we decompose the brain network, i.e., the connectome, into subnetworks and we apply a screening at the subnetwork level. The subnetworks are defined either according to prior knowledge or by applying a data driven algorithm. Given the results of the screening step, a filtering is performed to seek real differences at the node/connection level. The proposed strategy could be used to strongly control either the family-wise error rate or the false discovery rate. We show by means of different simulations the benefit of the proposed strategy, and we present a real application of comparing connectomes of preschool children and adolescents.

Computer Aided Diagnosis (CAD) for functional brain images helps to analysis the structure of the brain images. The Multi Level Discrete Wavelet Transform method helps to decompose image and then the features are extracted. The brain image is classified by using PNN-RBF training and classification method, whether the disease is of normal, benign or malignant stages. This method helps to detect the disease in early stage itself. The Fisher Discriminant Ratio (FDR) method is used to reduce the computational cost by identifying the relationships among discriminate brain areas. The Morphological Filter technique is used to segment the images according to the Region of Interest (ROI), which is applied to abnormal images. This method yields better accuracy and sensitivity to find the discriminate brain areas. The early diagnosis of the tumor in brain is possible.

International audience; The vocabulary of theoretical statistics can be difficult to embrace from the viewpoint of computational proteomics research, even though the notions it conveys are essential to publication guidelines. For example, “adjusted p-values”, “q-values”, and “false discovery rates” are essentially similar concepts, whereas “false discovery rate” and “false discovery proportion” must not be confused, even though “rate” and “proportion” are related in everyday language. In the interdisciplinary context of proteomics, such subtleties may cause misunderstandings. This article aims to provide an easy-to-understand explanation of these four notions (and a few other related ones). Their statistical foundations are dealt with from a perspective that largely relies on intuition, addressing mainly protein quantification but also, to some extent, peptide identification. In addition, a clear distinction is made between concepts that define an individual property (i.e., related to a peptide or a protein) and those that define a set property (i.e., related to a list of peptides or proteins).

As early as the first months after the Second World War had ended, newly founded Jewish communities were beginning to form in Germany. These communities were established further in the years to follow, in the course of which new synagogues and community centers were erected. In today&rsquo, s perceptions, these building projects are often seen in the context of the efforts of gentile society to make reparations (Wiedergutmachung). This article examines the possibilities and conditions under which non-Jewish post-Nazi society was operating in regard to enabling &ldquo, Jewish building (J&uuml, disches Bauen)&rdquo, and highlights the tremendous influence that political action has had on the projects of the Jewish communities. The synagogue projects in Mannheim and W&uuml, rzburg are used as examples to illustrate this issue as it reflects in the Federal Republic of Germany. This article brings forth, for the first time, a description of the situation in the German Democratic Republic providing an overview on the extent of the construction activity. Subsequently, observations over the use of the term and the concept of &ldquo, are outlined.

Purpose of this study is to determine economic fundamentals influence and financial performance on non-performing loans in sharia banks in Indonesia. Used quarterly panel data from 2008-2016, which came from BPS, BI, and OJK. Eleven banks used as a sample, with a purposive sampling approach. Using regression methods, with the dependent variable is NPF, and independent variable for economic fundamentals using exchange rates, inflation, GDP and financial performance with FDR, CAR, OER. Result shown that fundamental economice do not affect the NPF and OER as a financial performance has a positive and significant influence to NPF, CAR has negative and significant influence to NPF, but has no effect to FDR.

Background Stability of multiple testing procedures, defined as the standard deviation of total number of discoveries, can be used as an indicator of variability of multiple testing procedures. Improving stability of multiple testing procedures can help to increase the consistency of findings from replicated experiments. Benjamini-Hochberg’s and Storey’s q-value procedures are two commonly used multiple testing procedures for controlling false discoveries in genomic studies. Storey’s q-value procedure has higher power and lower stability than Benjamini-Hochberg’s procedure. To improve upon the stability of Storey’s q-value procedure and maintain its high power in genomic data analysis, we propose a new multiple testing procedure, named Bon-EV, to control false discovery rate (FDR) based on Bonferroni’s approach. Results Simulation studies show that our proposed Bon-EV procedure can maintain the high power of the Storey’s q-value procedure and also result in better FDR control and higher stability than Storey’s q-value procedure for samples of large size(30 in each group) and medium size (15 in each group) for either independent, somewhat correlated, or highly correlated test statistics. When sample size is small (5 in each group), our proposed Bon-EV procedure has performance between the Benjamini-Hochberg procedure and the Storey’s q-value procedure. Examples using RNA-Seq data show that the Bon-EV procedure has higher stability than the Storey’s q-value procedure while maintaining equivalent power, and higher power than the Benjamini-Hochberg’s procedure. Conclusions For medium or large sample sizes, the Bon-EV procedure has improved FDR control and stability compared with the Storey’s q-value procedure and improved power compared with the Benjamini-Hochberg procedure. The Bon-EV multiple testing procedure is available as the BonEV package in R for download at https://CRAN.R-project.org/package=BonEV. Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-1414-x) contains supplementary material, which is available to authorized users.

This first-level report describes the first two phases of a study comparing the performance of four different full-depth pavement reclamation strategies, namely pulverization with no stabilization (FDR-NS), stabilization with foamed asphalt and portland cement (FDR-FA), stabilization with portland cement only (FDR-PC), and stabilization with engineered asphalt emulsion (FDR-EE). A literature review, the test track layout and design, stabilization and asphalt concrete mix designs, and test track construction are discussed, as well as the results of Heavy Vehicle Simulator (HVS) and preliminary laboratory testing, and a forensic investigation of the HVS test sections. A number of problems were experienced during construction of the FDR-PC and FDR-EE lanes on the test track and consequently only the FDR-NS and FDR-FA lanes and one section of the FDR-PC lane (5 percent measured cement content) were considered satisfactorily uniform for the purposes of HVS testing. The FDR-FA and FDR-PC sections performed very well under both dry and wet conditions, with testing under dry conditions terminated long before the terminal rut of 0.5 in. (12.5 mm) or average crack density of 0.75 ft/ft2 (2.5 m/m2 ) were reached (cracks were observed on the wet tests only). The two FDR-NS sections tested performed acceptably, with a section with thicker asphalt surfacing (0.4 ft [120 mm]) outperforming a section with thinner asphalt surfacing (0.2 ft [60 mm]) under both dry and wet conditions, as expected. Terminal rut was reached on both sections. No cracks were observed during dry tests, but cracking was severe after completion of the wet tests. Observations during a forensic investigation confirmed the measurements taken during HVS testing. The performance advantages of full-depth reclamation strategies that either use foamed asphalt with cement or cement only over those with no stabilization are clearly evident from the results. Additional laboratory and field testing is in progress to collect sufficient data for the development of mechanisticempirical design criteria (and revised gravel factors) for full-depth reclaimed pavements. However, there is sufficient evidence to show that pavements that are rehabilitated using full-depth reclamation strategies will satisfactorily withstand design traffic levels common in California. Rehabilitation using this approach offers additional advantages of speed of construction, minimal disruption to traffic, reuse of all materials, and does not require removal of material from the site. FDR with these stabilization approaches also effectively replaces extensively cracked existing asphalt layers, providing a new base and thus preventing the reflective cracking that is common in more traditional overlay projects. Future research should include life cycle cost analysis (LCCA) and environmental life cycle assessment (LCA) to compare FDR with overlay strategies for the range of pavement, climate and traffic conditions where the two strategies might be used. Future research on partial- and full-depth reclamation should be coordinated to facilitate consistent design and specification documentation, and to facilitate the preparation of a comprehensive guide covering all forms of pavement recycling.

With the rise of both the number and the complexity of traits of interest, control of the false discovery rate (FDR) in genetic association studies has become an increasingly appealing and accepted target for multiple comparison adjustment. While a number of robust FDR-controlling strategies exist, the nature of this error rate is intimately tied to the precise way in which discoveries are counted, and the performance of FDR-controlling procedures is satisfactory only if there is a one-to-one correspondence between what scientists describe as unique discoveries and the number of rejected hypotheses. The presence of linkage disequilibrium between markers in genome-wide association studies (GWAS) often leads researchers to consider the signal associated to multiple neighboring SNPs as indicating the existence of a single genomic locus with possible influence on the phenotype. This a posteriori aggregation of rejected hypotheses results in inflation of the relevant FDR. We propose a novel approach to FDR control that is based on prescreening to identify the level of resolution of distinct hypotheses. We show how FDR-controlling strategies can be adapted to account for this initial selection both with theoretical results and simulations that mimic the dependence structure to be expected in GWAS. We demonstrate that our approach is versatile and useful when the data are analyzed using both tests based on single markers and multiple regression. We provide an R package that allows practitioners to apply our procedure on standard GWAS format data, and illustrate its performance on lipid traits in the North Finland Birth Cohort 66 cohort study.

Aircraft accident forensics include analyzing cockpit voice recorder (CVR) and flight data recorder (FDR) information. Each recorder is independent of the other and often share no common time frame. Analysts must align the two time scales using common events on each recorder, such as microphone keying events. Using test drive development and linear programming, we have created a two-step model to align the CVR and FDR recordings. The first linear model matches microphone keying events, while the second linear model optimizes alignment of the time scales. When the constrained optimization problem produces a feasible solution, a standardized computer-generated sentence is created that is useful for forensic reporting purposes.

In this paper, we address the problem of applying SAT-based bounded model checking (BMC) and temporal k-induction to asynchronous concurrent systems. We investigate refinement checking in the process-algebraic setting of Communicating Sequential Processes (CSP), focusing on the CSP traces model which is sufficient for verifying safety properties. We adapt the BMC framework to the context of CSP and the existing refinement checker FDR yielding bounded refinement checking which also lays the foundation for tailoring the k-induction technique. As refinement checking reduces to checking for reverse containment of possible behaviours, we exploit the SAT-solver to decide bounded language inclusion as opposed to bounded reachability of error states, as in most existing model checkers. Due to the harder problem to decide and the presence of invisible silent actions in process algebras, the original syntactic translation of BMC to SAT cannot be applied directly and we adopt a semantic translation algorithm based on watchdog transformations. We propose a Boolean encoding of CSP processes resting on FDR’s hybrid two-level approach for calculating the operational semantics using supercombinators. We have implemented a prototype tool, SymFDR, written in C++, which uses FDR as a shared library for manipulating CSP processes and the state-of-the-art incremental SAT-solver MiniSAT 2.0. Experiments with BMC indicate that in some cases, especially in complex combinatorial problems, SymFDR significantly outperforms FDR and even copes with problems that are beyond FDR’s capabilities. SymFDR in k-induction mode works reasonably well for small test cases, but is inefficient for larger ones as the threshold becomes too large, due to concurrency.

The increasing number of sharia financial institutions in Indonesia is accompanied by an increase in literature review regarding sharia financial institutions. Renewal of studies related to the development of Islamic finance in Indonesia is important to continue. This study aims to examine the factors that affect the level of profitability of Islamic banking in Indonesia in the latest conditions and the latest data. The approach used is quantitative descriptive. Based on the F test, the f-statistic value obtained was 0.000085 below 0.05 (five percent). In other words, the independent variables including CAR, NPF, FDR, and inflation simultaneously have a significant effect on the dependent variable ROA. Whereas in a formal manner, based on the t-test, the NPF variable has a positive and significant effect on ROA. While the CAR, FDR and inflation variables have no effect on ROA.

47 Pag., 7 Fig., 4 Tabl. The definitive version is available at: http://www.sciencedirect.com/science/journal/03783774, In this work, maize (Zea mays L.) and alfalfa (Medicago sativa L.) were irrigated in two adjoining plots with the same sprinkler solid-set system. Irrigation was evaluated between four sprinklers in the central position within each plot, above the canopy with pluviometers and in the soil with a FDR probe. Maize and alfalfa were simultaneously irrigated under the same operational and technical conditions during two seasons: in 2005, the solid-set irrigation system layout was rectangular, 15 m between sprinklers along the irrigation line and 15 m among lines (R15 × 15), and the seasonal irrigation applied according to the crop evapotranspiration (ETc); in 2006, the solid-set layout was R18 × 15 and the seasonal irrigation was around 30% lower than the ETc. The irrigation depth above the canopies (IDC) and the soil water recharge after irrigation (RW) were monitored using a 3 m × 3 m grid (25 points in 2005 and in 30 points in 2006). For maize, RW was assessed both in the lines of plants (CL) and between the lines (BCL). The average values of IDC were similar between crops during both seasons but the uniformity (CUC) of the IDC noticeably depended on the crop: the differences were greater between crops than between sprinklers spacings (R15 × 15 and R18 × 15). The CUC of IDC, the RW and the CUC of RW were greater for alfalfa than for maize. The CUC of IDC was greater than the CUC of RW for both crops. The RW was significantly related with the IDC throughout the irrigation season for alfalfa. The correlation was weaker for maize, with important differences between positions and between growth stages. At the beginning of the season, the RW significantly correlated with the IDC, both in the CL and BCL positions. However, the correlation weakened when the maize grew, especially in the CL, because the maize plants redistributed the water. The results show that the height and canopy architecture of the crop must be considered in the analysis of the sprinkler water distribution as factors influencing the irrigation performance., This research was funded by the CICYT of the Government of Spain through grants AGL2004-06675-C03-03/AGR and AGL2007-66716-C03 and by the Government of Aragón through grant PIP090/2005 and by the INIA and CITA through the PhD grants program.

Background RNA-Sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in the context of differential expression analysis with RNA-seq data. One challenge is that there are no closed-form formulae to calculate power for the popularly applied tests for differential expression analysis. In addition, false discovery rate (FDR), instead of family-wise type I error rate, is controlled for the multiple testing error in RNA-seq data analysis. So far, there are very few proposals on sample size calculation for RNA-seq experiments. Results In this paper, we propose a procedure for sample size calculation while controlling FDR for RNA-seq experimental design. Our procedure is based on the weighted linear model analysis facilitated by the voom method which has been shown to have competitive performance in terms of power and FDR control for RNA-seq differential expression analysis. We derive a method that approximates the average power across the differentially expressed genes, and then calculate the sample size to achieve a desired average power while controlling FDR. Simulation results demonstrate that the actual power of several popularly applied tests for differential expression is achieved and is close to the desired power for RNA-seq data with sample size calculated based on our method. Conclusions Our proposed method provides an efficient algorithm to calculate sample size while controlling FDR for RNA-seq experimental design. We also provide an R package ssizeRNA that implements our proposed method and can be downloaded from the Comprehensive R Archive Network (http://cran.r-project.org). Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-0994-9) contains supplementary material, which is available to authorized users.

In this paper we describe the internal structures of FDR, the refinement model checker for Hoare's Communicating Sequential Processes (CSP), as well as an Application Programming Interface (API) allowing one to interact more closely with, and have fine grained control over, FDR's behaviour and data structures. With such information it is possible to create optimised CSP code to perform refinement checks that are more space/time efficient, hence enabling the analysis of more complex and data intensive specifications. This information is very valuable for both CSP users and tools that automatically generate CSP code, such as those related to security analysis generating test-cases as CSP processes. We also present a simple example of using the tool. Finally, we show how one can transform FDR's graph format into a graph notation (e.g., JGraph), hence enabling visualisation of Labelled Transition Systems (LTS) of CSP specifications.

In this paper, we combine the Box Structure Development Method (BSDM) [H.D. Mills, R.C. Linger, and A.R. Hevner. Principles of Information Systems Analysis and Design. Academic Press, 1986, S.J. Prowell, C.J. Trammell, R.C. Linger, and J.H. Poore. Cleanroom Software Engineering - Technology and Process. Addison-Wesley, 1998] and CSP [C.A.R. Hoare. Communicating Sequential Processes. Prentice Hall, 1985, A.W. Roscoe. The Theory and Practice of Concurrency. Prentice Hall, 1998], integrating them into industrial software development processes. BSDM was developed with practical software projects in mind and provides a framework for developing formal design specifications that are fully traceable to the informal requirements. It integrates well into an industrial setting and forms an ideal bridge between the actual system being developed and the abstract models used for formal analysis. CSP complements BSDM by providing the mathematical framework for formal verification, together with its model checker FDR. In this paper, we present generic algorithms for translating specifications from BSDM into CSP, illustrate how they can be formally verified using FDR and summarise an industrial case-study. to. The Program Committee consisted of Farhad Arbab (CWI, Amsterdam); Jean-Jacques Levy (Inria Roquencourt); Ugo Montanari (University of Pisa, co-chair); Antonio Porto (Universidade Nova De Lisboa); Vladimiro Sassone (University of Sussex and University of Catania, co-chair) and Bjorn Victor (Uppsala University). The Organizing Committee of ConCoord consisted of Alfredo Ferro (University of Catania), Ugo Montanari and Vladimiro Sassone. The papers in this volume were reviewed by the program committee members and by Chiara Bodei, Roberto Bruni, Michele Bugliesi, Luis Caires, Alessandro Fantechi, Kohei Honda, Francesca Levi, Massimo Merro, Giuseppe Milicia, Ana Moreira, Uwe Nestmann, Rosario Pugliese, Davide Sangiorgi, Francesca Scozzari, Alan Schmitt and Laura Semini. This volume will appear in the series Electronic Notes in Theoretical Computer Science (ENTCS), a series published electronically through the facilities of Elsevier Science B.V. and its auspices. The volumes in the ENTCS series can be accessed at the URL http://www.elsevier.nl/locate/entcs July 2001 Ugo Montanari and Vladimiro Sassone

This study is about syariah banking. The secondary data, obtained from the published reports of Bank Indonesia (BI) was used. It consists of Islamic Banking Statistics (SPS) and the Progress Report on Islamic Banking (LPPS). The analytical methods used were multiple linear regression, F test and t test. Based on the calculation of F test, deposit indicators - ROA, NPF, FDR, and the ratio jointly influence the market share of Islamic banking in Indonesia. Further, based on t test that had been done, the variable deposits, ROA, NPF and the ratio have a significant effect, while the FDR variables have no significant effect to the market share of Islamic banking in Indonesia. Then, DPK variables, ROA, and FDR have a positive effect while the NPF and the ratio have a negative effect on the market share of Islamic banking in Indonesia. From the analysis, it can be implied that the bank should increase deposits and ROA because they will have an effect on increasing the market share of Islamic banking in Indonesia; and the NPF and the bank should lower the ratio because they will reduce the market share of Islamic banking in Indonesia. Penelitian ini mengenai perbankan syariah. Data pada penelitian ini adalah data sekunder dan diperoleh dari laporan bank Indonesia yang dipublikasikan. Data-data tersebut terdiri dari Statistik Perbankan Syariah (SPS) and Laporan Perkembangan Perbankan Syariah (LPPS). Metode analitik yang digunakan adalah multiple linear regression, F test dan t test. Berdasarkan perhitungan F tes, bisa dikatakan bahwa indikator-indikator seperti ROA, NPF, FDR, dan nisbah secara bersama-sama mempengaruhi pangsa pasar perbankan Islam di Indonesia. Sedangkan berdasarkan t tes yang sudah dilakukan, deposit variabel termasuk di dalamnya adalah ROA, NPF dan nisbah mempunyai efek yang signifikan sedangkan variabel FDR tidak berpengaruh signifikan terhadap pangsa pasar perbankan Islam di indonesia. Kemudian, variabel DPK, ROA, dan FDR mempunyai pengaruh positif sedangkan NPF dan nisbah berpengaruh negatif terhadap pangsa pasar perbankan Islam di Indonesia. Berdasarkan analisis yang dilakukan, bisa disimpulkan bahwa bank seharusnya meningkatkan deposits dan ROA karena berefek pada peningkatan pada pangsa pasar perbankan Islam di Indonesia kemudian NPF dan bank seharusnya menurunkan nisbah karena akan menurunkan pangsa pasar perbankan Islam di Indonesia.

Obesity has dramatically increased in prevalence, making it essential to understand its accompanying metabolic changes. Modeling diet-induced obesity in Drosophila melanogaster (fruit flies), we elucidated transcriptional and metabolic changes in w1118 flies on a high-fat diet (HFD). Mass spectrometry-based metabolomics revealed altered fatty acid, amino acid, and carbohydrate metabolism with HFD. Microarray analysis uncovered transcriptional changes in nitrogen metabolism, including CG9510, homolog of human argininosuccinate lyase (ASL). CG9510 knockdown in flies phenocopied traits observed with HFD, namely increased triglyceride levels and decreased cold tolerance. Restoration of CG9510 expression ameliorated observed negative consequences of HFD. Metabolomic analysis of CG9510 knockdown flies confirmed functional similarity to ASL, regulating the balance of carbon and nitrogen metabolism. In summary, we found that HFD suppresses CG9510 expression, a gene required for proper triglyceride storage and stress tolerance. These results draw an important link between regulation of amino acid metabolism and the response to diet-induced obesity. © 2013 The Authors.

It is known that the largest developmental changes in the hippocampus take place during the prenatal period and during the first two years of postnatal life. Few studies have been conducted to address the normal developmental trajectory of the hippocampus during childhood. In this study shape analysis was applied to study the normal developing hippocampus in a group of 103 typically developing 6- to 10-year-old preadolescent children. The individual brain was normalized to a template, and then the hippocampus was manually segmented and further divided into the head, body, and tail sub-regions. Three different methods were applied for hippocampal shape analysis: radial distance mapping, surface-based template registration using the robust point matching (RPM) algorithm, and volume-based template registration using the Demons algorithm. All three methods show that the older children have bilateral expanded head segments compared to the younger children. The results analyzed based on radial distance to the centerline were consistent with those analyzed using template-based registration methods. In analyses stratified by sex, it was found that the age-associated anatomical changes were similar in boys and girls, but the age-association was strongest in girls. Total hippocampal volume and sub-regional volumes analyzed using manual segmentation did not show a significant age-association. Our results suggest that shape analysis is sensitive to detect sub-regional differences that are not revealed in volumetric analysis. The three methods presented in this study may be applied in future studies to investigate the normal developmental trajectory of the hippocampus in children. They may be further applied to detect early deviations from the normal developmental trajectory in young children for evaluating susceptibility for psychopathological disorders involving hippocampus. © 2013 ISDN.

The purpose of this research is to analyze the influence of Third Party Fund, Non Performing Financing (NPF) and Financing Deposit to Ratio (FDR) toward Mark up margin and its implication to Murabahah Financing in BMT.. BMT study population is located in South Jakarta and Tangerang, which had stood at least 5 years and already have a good financial statements and according to standards that have been set. All sample was determined using convenience sampling, the samples were chosen based on the ease of obtaining data and not troublesome to measure and cooperative. This research used path analysis method with decomposition model. The result of substructure I indicate that Third Party Fund, Non Performing Financing (NPF) and Financing Deposit to Ratio (FDR) variabels have significantly effect to the Mark up margin. The result of substructure II indicate that Third Party Fund and Financing Deposit to Ratio (FDR) have significantly effect to the Murabahah Financing.DOI: 10.15408/sjie.v2i1.2371

Liquidity is the fulfillment of bank liabilities that must be considered in the Islamic banking operations and errors in the management of liquidity can cause loss of Islamic banking which have an impact on the decline for the profit sharing to deposits customers and shareholders of Islamic banking. This study was to investigate the influence of external factors (Economic Performance (EK), inflation (INF), the Global Financial Crisis (D07)) and internal (Non Performing Financing (NPF) and Rate of Return (Deposit)of banks to liquidity (FDR) of Sharia Banking in Indonesia.Data were collected on a monthly basis from January 2003 - October 2015 times series data are tested by unit root and cointegration using Eviews 6.1. to determine the relationship between the variables in the long run.Based on the results of cointegration tests indicate that in long term relationships, NPF and EK variables have a significant and negative influence on the FDR, RRD variables have significant and positive influence on the FDR while variable INF and D07 does not have a significant influence on the FDR. It can be concluded that the Islamic banking must pay attention to the increase in marketing of Islamic banking products to increase liquidity despite good economic conditions and lower financing problems to increase the liquidity of Islamic banking.

A Cramer moderate deviation theorem for Hotelling's $T^2$-statistic is proved under a finite $(3+\delta)$th moment. The result is applied to large scale tests on the equality of mean vectors and is shown that the number of tests can be as large as $e^{o(n^{1/3})}$ before the chi-squared distribution calibration becomes inaccurate. As an application of the moderate deviation results, a global test on the equality of m mean vectors based on the maximum of Hotelling's $T^2$-statistics is developed and its asymptotic null distribution is shown to be an extreme value type I distribution. A novel intermediate approximation to the null distribution is proposed to improve the slow convergence rate of the extreme distribution approximation. Numerical studies show that the new test procedure works well even for a small sample size and performs favorably in analyzing a breast cancer dataset., Comment: Published in at http://dx.doi.org/10.1214/12-AOS1082 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)

The fluctuation of an EEG signal is a useful symptom of EEG quasi-stationarity. Linear predictive models of three types and their prediction error are studied via traditional and robust measures. The resulting EEG characteristics are applied to the diagnosis of Alzehimer’s disease. Our aim is to decide among: forward, backward, and predictive models, EEG channels, and also robust and non-robust variability measures, and then to find statistically significant measures for use in the diagnosis of Alzheimer’s disease from EEG.