Nonparametric Measurements Research Articles

Corneal nerve changes by anti-glaucoma medications examined by in vivo confocal microscopy.

To evaluate the effects of antiglaucoma eye drops on corneal nerves by in vivo confocal microscopy (IVCM). This study comprised 79 patients diagnosed with glaucoma and 16 healthy control individuals. Among the glaucoma patients, 54 were treated with medication, while 25 remained untreated. Central corneal images were evaluated by IVCM, and then ACCMetrics was used to calculate the following parameters: corneal nerve fiber density (CNFD), branch density (CNBD), fiber length (CNFL), total branch density (CTBD), fiber area (CNFA), fiber width (CNFW), and fractal dimension (CNFrD). The correlation between IVCM parameters and drugs was evaluated using non-parametric measurements of Spearman's rank correlation coefficient. The CNFD was reduced in glaucoma groups compared to healthy subjects (P<0.01). Patients using anti-glaucoma medications exhibited poorer confocal parameters compared to untreated patients. As the number of medications and usage count increased, CNFD, CNBD, CNFL, CTBD, CNFA, and CNFrD experienced a decline, while CNFW increased (all P<0.01). For the brinzolamide-therapy group, there was a significant decrease in CNFD and CNFL compared to the other monotherapy groups (P<0.001). In the absence of medication, CNFD in males was lower than that in females (P<0.05). Among patients under medication therapy, CNFD remained consistent between males and females. Antiglaucoma eye drops affect the microstructure of corneal nerves. IVCM and ACCMetrics are useful tools that could be used to evaluate the corneal nerve changes.

Glucomannan Content Stability of Eddoe Taro Tuber based on Parametric, Non-Parametric, and Ammi Analysis

The consumption of taro tuber as an energy source is widespread due to its composition of complex carbohydrates, including starch and non-starch polysaccharides. Glucomannan is one of the non-starch polysaccharides found in taro tuber and has been shown to be a dietary fiber with positive effects on health and beauty. The development of new varieties of taro tuber with high glucomannan content is challenging and requires significant effort in order to produce high-quality food. Therefore, this study aimed to investigate the stability of glucomannan content among 14 eddoe taro tuber genotypes using parametric, non-parametric, and AMMI methods, and to determine genotypes with high glucomannan stability. The experiments were conducted in three different agro-climatic locations using a randomized full-block design. Glucomannan content of taro tuber was analyzed from a mixture of corms and cormlets harvested 5 months after planting following the gravimetric method. The combined analysis of variance for glucomannan content showed significant effects of the environment, genotypes, and G×E interaction. Genotypes S7, S35, S15, S18, S17, S34, and S24 produced glucomannan levels higher than the overall average, but genotypes S7, S17, S18, and S34 consistently displayed higher glucomannan content than the average in each experimental site. Parametric and non-parametric measurements provided comparable results. Based on parametric stability analysis, genotype S34 showed high-rank stability (Wᵢ², σ²ᵢ, CVi value). Additionally, genotypes S34 and S18 demonstrated high stability according to bᵢ, and genotypes S17 exhibited stability according to the s²dᵢ value. Non-parametric stability analysis showed that S34 was the most stable genotypes base on Nassar Huehn, Kang-Rangksum, and Thennarasu theories. Genotypes S7 was also identified as stable, according to Kang-Rangksum. The AMMI analysis indicated that genotypes S34, S17, and S7 were high glucomannan yielders, with S34 displaying wide adaptation and S17 and S7 having specific location adaptation.

The Sustainability Index and Other Stability Analyses for Evaluating Superior Fe-Tolerant Rice (Oryza sativa L.)

Rice (Oryza sativa L.) is an important agricultural commodity in Indonesia. The combination of stability analysis on yields was considered accurate in selecting superior genotypes. The objectives of this study were as follows: identify the effects of genotypes, the environment, and their interactions (GEIs) on the yields of Fe-tolerant rice; select superior genotypes (stable and high yields) under diverse environment conditions in Indonesia; and determine the mega-environments (MEs) and representative environments for Fe-tolerant rice development. Fifteen genotypes of Fe-tolerant rice were used for this study. Field experiments were conducted at six experimental fields in Indonesia using a randomized block design with two replications. A combined analysis of variance (ANOVA) was used to determine the effect of genotypes, the environment, and their interactions on Fe-tolerant rice yields. Parametric, non-parametric, AMMI (additive main effects and multiplicative interaction), GGE biplot, and SI (sustainability index) measurements were used to determine the superior genotypes. GGE biplot was also used to determine MEs and representative environments. The measurement results showed that genotypes, the environment, and their interactions significantly affected rice yields with contributions of 13.30%, 35.78%, and 50.92%, respectively. One superior Fe-tolerant rice genotype (stable and high yield) was selected based on all measurements, namely G4 (B14316E-KA-4). In this experiment, two MEs were generated. Lampung was identified as a representative environment for the development of superior genotypes. The results of this study can be used as a consideration in the release and development of new superior varieties of Fe-tolerant rice in Indonesia.

Early Results from GLASS-JWST. XVIII. A First Morphological Atlas of the 1 < z < 5 Universe in the Rest-frame Optical

We present a rest-frame optical morphological analysis of galaxies observed with the NIRCam imager on the James Webb Space Telescope (JWST) as part of the GLASS-JWST Early Release Science program. We select 388 sources at redshifts 0.8 < z < 5.4 and use the seven 0.9–5 μm NIRCam filters to generate rest-frame gri composite color images, and conduct visual morphological classification. Compared to Hubble Space Telescope (HST)–based work we find a higher incidence of disks and bulges than expected at z > 1.5, revealed by rest-frame optical imaging. We detect 123 clear disks (58 at z > 1.5) of which 76 have bulges. No evolution of bulge fraction with redshift is evident: 61% at z < 2 (N = 110) versus 60% at z ≥ 2 (N = 13). A stellar mass dependence is evident, with bulges visible in 80% of all disk galaxies with mass >109.5 M ⊙ (N = 41) but only 52% at M < 109.5 M ⊙ (N = 82). We supplement visual morphologies with nonparametric measurements of Gini and asymmetry coefficients in the rest-frame i band. Our sources are more asymmetric than local galaxies, with slightly higher Gini values. When compared to high-z rest-frame ultraviolet measurements with HST, JWST shows more regular morphological types such as disks, bulges, and spiral arms at z > 1.5, with smoother (i.e., lower Gini) and more symmetrical light distributions.

Settling Time Optimization in Wire Bonder Systems via Extremum-Seeking Control1

Adequate tuning of control laws is essential for high positioning accuracy, large system throughput, and reliability in high-end mechatronic and robotic systems. However, a population of such systems generally shows slight variations in dynamic responses due to, e.g., manufacturing tolerances, different disturbance situations, or position-dependent dynamics. Given the time-consuming nature of controller design, even by experienced control engineers, typically just one control law is designed for the whole system population based on worst-case bounds on variations in dynamic responses, resulting in a loss of individual system performance. The main contribution of this paper is the development of an automated controller tuning approach, based on extremum-seeking control, for settling time optimization via individual controller tuning. While other automated controller tuning methods exist, the developed approach allows inclusion of closed-loop stability and robustness constraints based solely on non-parametric frequency-response measurements of open-loop plant dynamics, and therewith directly optimizes transient system performance in a purely data-based manner. The proposed approach has been applied in simulation in an industrial case study for settling time optimization in point-to-point motions of a wire bonder system. In this case study, the effectiveness of the approach has been shown by achieving significant performance increases of 39.4% and 40.6% compared to controllers designed by experienced control engineers using manual loop-shaping techniques and a frequency-based auto-tuner, respectively, without needing manual tuning effort.

Measurement Criteria and Metrics of Retail Store Performance: An Empirical Study

In this work, we analyze the need for evolution in conventional decision support techniques while keeping in mind the complex and ever-changing requirements of the corporate environment. The goal is to make integrated performance assessment and management more crucial to improving the current decision-making tools, which are now dependent on historical data. It is regarded as a suitable application scenario due to the nature of the difficulties and developments in the retail sector. A framework is also suggested, and a case study is provided as evidence for our claim. Measurement of retailer productivity is necessary to comprehend performance entirely. There are far too many metrics that rely on accounting and financial metrics. Nevertheless, these metrics do not consider the underlying factors influencing bottom-line success. This article examines the idea of productivity concerning retail businesses, emphasizing input and output components and parametric and non-parametric productivity measurements. Furthermore, given are a research agenda and managerial implications.

A Laurentian affinity for the Embu Terrane, Ribeira Belt (SE Brazil), revealed by zircon provenance statistical analysis

New and compiled detrital zircon U–Pb ages from the southern Neoproterozoic–Cambrian Ribeira Belt, SE Brazil, demonstrate Laurentian affinity of the Embu Terrane which is statistically distinct from the adjoining Apiaí and São Roque terranes with cratonic affinity (e.g., São Francisco Craton). Zircon provenance results indicate that the type-area of the Embu Terrane is dominated by detrital zircon age modes at ca. 1200 Ma, 1400 Ma, and 1800 Ma, with maximum depositional age of ca. 1000 Ma. In contrast, the Apiaí and São Roque terranes are dominated by Paleoproterozoic detrital zircon ages (ca. 2200–2000 Ma age dominant component), with maximum depositional ages of ca. 1400 Ma and 1750 Ma, respectively. Multidimensional scaling (MDS) analysis of non-parametric similarity measurements on zircon age populations indicates for the first time that the Embu Terrane encompass two statistically distinct detrital zircon age spectra, which is also reflected in the metamorphic zircon age record. The statistical characterization of the Embu Terrane through populational metrics allow a quantitative comparison with surrounding tectonic domains and rock samples classified such as Embu-type. Our results clearly highlight the distinction between the statistically differentiated Embu Terrane from the Apiaí and São Roque terranes, supporting an allochthonous interpretation. In addition, we demonstrate that rocks samples previously classified as Embu-type are significantly dissimilar to the definition of Embu Terrane, failing to support alternative tectonic models (e.g., intracontinental evolution). Detrital zircon age spectra reveal that the Apiaí and São Roque terranes have similar zircon provenance to domains sourced from the São Francisco Craton, whereas detrital zircon populations from the Embu Terrane have greater affinity with SW Laurentia basins (and their inferred sediment sources), consistent with previous findings. Therefore, we interpret the Embu Terrane as a Rodinia descendant developed along the active margin of the SW Laurentia that collided with the Ribeira Belt during early Neoproterozoic (810–760 Ma).

Photometric properties of nuclear star clusters and their host galaxies in the Fornax cluster

Aims. We aim to investigate the relations between nuclear star clusters (NSCs) and their host galaxies and to offer a comparison between the structural properties of nucleated and non-nucleated galaxies. We also address the environmental influences on the nucleation of galaxies in the Fornax main cluster and the Fornax A group. Methods. We selected 557 galaxies (105.5 M⊙ &lt; M*, galaxy &lt; 1011.5 M⊙) for which structural decomposition models and non-parametric morphological measurements are available from our previous work. We determined the nucleation of galaxies based on a combination of visual inspection of galaxy images and residuals from multi-component decomposition models, as well as using a model selection statistic, the Bayesian information criterion (BIC), to avoid missing any faint nuclei. We also tested the BIC as an unsupervised method to determine the nucleation of galaxies. We characterised the NSCs using the nucleus components from the multi-component models conducted in the g′, r′, and i′ bands. Results. Overall, we find a dichotomy in the properties of nuclei that reside in galaxies more or less massive than M*, galaxy ≈ 108.5 M⊙. In particular, we find that the nuclei tend to be bluer than their host galaxies and follow a scaling relation of $ M_{\mathrm{*,nuc}} \propto {M_{\mathrm{*,galaxy}}}^{0.5} $ for M*, galaxy &lt; 108.5 M⊙. In galaxies with M*, galaxy &gt; 108.5 M⊙, we find redder nuclei compared to the host galaxy, which follows M*, nuc ∝ M*, galaxy. Comparing the properties of nucleated and non-nucleated early-type galaxies, we find that nucleated galaxies tend to be redder in global (g′−r′) colour, have redder outskirts relatively to their own inner regions (Δ(g′−r′)), are less asymmetric (A), and exhibit less scatter in the brightest second-order moment of light (M20) than their non-nucleated counterparts at a given stellar mass. However, with the exception of Δ(g′−r′) and the Gini coefficient (G), we do not find any significant correlations with cluster-centric distance. Yet, we find the nucleation fractions to be typically higher in the Fornax main cluster than in the Fornax A group, and that the nucleation fraction is highest towards the centre of their respective environments. Additionally, we find that the observed ultra-compact dwarf (UCD) fraction (i.e. the number of UCDs over the number of UCDs and nucleated galaxies) in Fornax and Virgo peaks at the cluster centre and is consistent with the predictions from simulations. Lastly, we find that the BIC can recover our labels of nucleation up to an accuracy of 97% without interventions. Conclusions. The different trends in NSC properties suggest that different processes are at play at different host stellar masses. A plausible explanation is that the combination of globular cluster in-spiral and in situ star formation play a key role in the build-up of NSCs. In addition, the environment is clearly another important factor in the nucleation of galaxies, particularly at the centre of the cluster where the nucleation and UCD fractions peak. Nevertheless, the lack of significant correlations with the structures of the host galaxies is intriguing. Finally, our exploration of the BIC as a potential method of determining nucleation have applications for large-scale future surveys, such as Euclid.

Evaluation of Preliminary Results Of Laparoscopic and Open Surgery in Gastrectomy For Gastric Cancer: Single-Center Experience

Aim: This study aims to compare the early results of laparoscopic and open surgery of gastric cancer, which is the sixth most common cancer in all age groups and both genders. Materials and Methods: Patients who were operated on for gastric cancer between May 2018 and October 2021 were analyzed retrospectively. The data of patients who underwent laparoscopic and open surgery were collected and short-term results were compared. Kolmogorov-Smirnov test was used to determine the normal distribution, mean+standard deviation, and median (minimum-maximum) were used for continuous values. Student-t-test was used for parametric measurements and the Mann-Whitney-u test was used for non-parametric measurements. The chi-square test was used for categorical variables. Results: The results of 140 patients included in the study were analyzed. In laparoscopic surgery, the length of stay in the intensive care unit was shorter and the number of lymph nodes removed was found to be higher. Length of hospital stay and postoperative complications were similar. The operation time was longer in laparoscopic surgeries. Conclusion: Considering the results of this study, in which we compared our short-term results, we can predict that laparoscopic gastric resection can be safely performed by experienced surgeons in appropriate centers. As surgical experience increases, we believe that laparoscopy, which is the gold standard in surgeries such as gallbladder, appendectomy, and prostatectomy, may become the gold standard in gastric cancer surgery in the future.

Measuring the dynamic lead–lag relationship between the cash market and stock index futures market

This paper develops three new nonparametric and nonlinear measurements for the dynamic lead–lag relationship between stock index futures and the cash index based on the dynamic time warping algorithm: one point measurement (e.g, for one minute) and two interval measurements (e.g, for one day). The simulation experiment shows the satisfactory performance of our measurements. The empirical evidence suggests that the distribution of the lead–lag times of the CSI 300 index futures relative to the cash index is right skewed with high kurtosis, and the index futures usually lead the cash index by 0–5 min but occasionally lag the cash index.

Assessment of rhizome yield of local Indonesian turmeric (Curcuma longa L.) during two growing seasons

Abstract. Aulia R, Maulana H, Filio YL, Shafira NA, Anindita PA, Suganda T, Concibido V, Karuniawan A. 2022. Assessment of rhizome yield of local Indonesian turmeric (Curcuma longa L.) during two growing seasons. Biodiversitas 23: 2534-2543. In Indonesia, rhizome yield evaluation across diverse growing seasons is very useful for selecting turmeric genotypes that have the potential to be developed into commercial varieties. Evaluation using multiple measurements has high accuracy. This study aimed to select turmeric genotypes based on differences in agro-morphological traits, identify genotypes by season interactions (GEIs), and select stable and high-yielding turmeric during two seasons. The study was conducted for two growing seasons (Planting Season 1 in January - October 2019 and Planting Season 2 in January - October 2020) using an augmented design. Cluster analysis based on agro-morphological traits was used to select turmeric genotypes based on their proximity. A combined analysis of variance (ANOVA) was used to estimate the effect of GEIs on rhizome yield and yield attributes. Rhizome yield evaluation was analyzed using parametric and nonparametric measurements. The results showed that twenty-five turmeric genotypes were selected based on agro-morphological differences. GEIs caused the variation of rhizome yield with a contribution of 34.88%, and yield attributes of 7.04% for weight per plant (WPP), 10.97% for rhizome width (RW), 11.95% for Petiole length (PL), 47.25% for lamina length (LL), and 25.44% for lamina width (LW). The results of parametric and nonparametric measurements selected six genotypes of turmeric into ideal groups, namely G4 (CL-12), G6 (CL-20), G9 (CL-30), G12 (CL-37), G22 (CL-82), and G26 (Cek 1). They can be developed as superior local commodities and used as breeding materials for turmeric plants in the future.

Non-parametric Stability Analysis in Durum Wheat (Triticum durum Desf.) Genotypes Growing under Semi-arid Conditions

Field experiments were carried out in National Institute of Agronomic Research of Algeria INRAA- station of Setif, Algeria where grain yield of 10 durum wheat genotypes tested during 4 cropping seasons from 2009 to 2013 and sowing in the same period in December .The objectives were to determine stable genotypes based on non-parametric stability indices. The results of the Thennarasu (NP) as following: Si(1) (varied from 2 to 5), Si(2) (varied from 3 to 17), Si(3) (varied from 1.2 to 9.27) and Si(6) (varied from 0.67 to 2.55) based on these methods the genotype Mexicali75 is considered to be most stable and had highest grain yield. Based on NP1, NP3 and NP4 the genotype Mexicali75 is considered to be most stable and had highest grain yield, the genotype Hoggar had low values for the index NP2 we can considered more stable but with moderate grain yield. In addition, the results of the methods of Huehn demonstrate that the genotype Mexicali75 with the lowest values was identified as desirable. The results of Spearman’s rank correlation coefficients between mean yield and the non-parametric stability statistics are shown in Table 4. The mean grain yield as well as negatively and significantly correlated with NP2, NP3 and NP4 and insignificant negative correlation with NP1. In conclusion, according to results of these different non-parametric stability measurements, genotype Mexicali75 is recommended for commercial release as a favorable durum wheat genotype for the semi-arid condition.

The Intergluteal Fat Stripe in Patients With Hip Abductor Tears.

Background:With a hip abductor tendon tear, widening of the intergluteal space, or “fat stripe,” is a characteristic change seen in and around the gluteus medius and minimus.Purpose:To determine the relationship of the intergluteal fat stripe in hips with pathologic abductor tears compared with the contralateral side and to evaluate the association of fat stripe size with hip-specific patient-reported outcome measures.Study Design:Case series; Level of evidence, 4.Methods:Of the 43 patients (42 female, 1 male; mean age, 56.6 years; range, 38-85 years) who underwent endoscopic gluteus medius repair, 19 met inclusion criteria of preoperative bilateral hip magnetic resonance imaging (MRI) scans and 2-year follow up. A single board-certified fellowship-trained orthopaedic surgeon (J.F.), who was blinded to outcomes, evaluated the MRI scans to measure the intergluteal fat stripe on the operative and nonoperative sides. The 2-year postoperative International Hip Outcome Tool (iHOT-12) and modified Harris Hip Score (mHHS) values were analyzed to determine their relationship to the size of the fat stripe. Statistical analysis was performed using a paired t test, and associations were determined using Pearson product correlation as well as nonparametric measurements.Results:The size of the intergluteal fat stripe differed significantly between the operative and nonoperative sides. The area of the fat stripe on the operative side was 645.73 ± 513.09 mm2, and on the nonoperative side it was 313.47 ± 360.71 mm2, an average of 332.36 mm2 greater than the nonoperative side (P = .02). The width of the fat stripe was 9.10 ± 4.60 mm on the operative side and 5.15 ± 3.87 mm on the nonoperative side, 3.95 mm greater than the nonoperative side (P < .01). There was no correlation between the width or area of the fat stripe on the operative side and iHOT-12 or mHHS values at 2-year follow-up.Conclusion:The study findings indicated that the intergluteal fat stripe is significantly wider and has a significantly larger area in hips with abductor tears compared with unaffected hips. This did not correlate with 2-year patient-reported outcomes.

A Morphological Study of Galaxies Hosting Optical Variability-selected AGNs in the COSMOS Field

Abstract Morphological studies are crucial to investigate the connections between active galactic nucleus (AGN) activities and the evolution of galaxies. Substantial studies have found that radiative-mode AGNs primarily reside in disk galaxies, questioning the merger-driven mechanism of AGN activities. In this study, through Sérsic profile fitting and nonparametric morphological parameter measurements, we investigated the morphology of host galaxies of 485 optical variability-selected low-luminosity AGNs at z ≲ 4.26 in the COSMOS field. We analyzed high-resolution images of the Hubble Space Telescope to measure these morphological parameters. We only successfully measured the morphological parameters for 76 objects and most AGN hosts (∼70%) were visually compact point-like sources. We examined the obtained morphological information as a function of redshift and compared them with literature data. We found that these AGN host galaxies showed no clear morphological preference. However, the merger rate increased with higher host star formation rate and AGN luminosity. Interestingly, we found ongoing star formation consistent with the typical star-forming populations in both elliptical and spiral galaxies, while these two types of galaxies were more symmetric than normal star-forming galaxies. These results suggest that optical variability-selected AGNs have higher probabilities to reside in elliptical galaxies than infrared-selected AGNs, whose host galaxies have a strong disk dominance, and support recent findings that the AGN feedback can enhance star-forming activities in host galaxies.

Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning

Abstract At high redshift, due to both observational limitations and the variety of galaxy morphologies in the early universe, measuring galaxy structure can be challenging. Non-parametric measurements such as the CAS system have thus become an important tool due to both their model-independent nature and their utility as a straightforward computational process. Recently, convolutional neural networks (CNNs) have been shown to be adept at image analysis, and are beginning to supersede traditional measurements of visual morphology and model-based structural parameters. In this work, we take a further step by extending CNNs to measure well known non-parametric structural quantities: concentration (C) and asymmetry (A). We train CNNs to predict C and A from individual images of ∼150,000 galaxies at 0 &lt; z &lt; 7 in the CANDELS fields, using Bayesian hyperparameter optimization to select suitable network architectures. Our resulting networks accurately reproduce measurements compared with standard algorithms. Furthermore, using simulated images, we show that our networks are more stable than the standard algorithms at low signal-to-noise. While both approaches suffer from similar systematic biases with redshift, these remain small out to z ∼ 7. Once trained, measurements with our networks are &gt;103 times faster than previous methods. Our approach is thus able to reproduce standard measures of non-parametric morphologies and shows the potential of employing neural networks to provide superior results in substantially less time. This will be vital for making best use of the large and complex data sets provided by upcoming galaxy surveys, such as Euclid and Rubin-LSST.

Storage root yield and sweetness level selection for new honey sweet potato (Ipomoea batatas [L.] Lam)

Abstract Multilocation experiments are the steps to determine the genotype stability being tested. Honey sweet potato is a superior agricultural product from West Java, Indonesia. High yield and sweetness are the important traits of the new honey sweet potato breeding lines. In this study, the sweetness level used was the soluble solid level (°brix). The goals of this study were to determine the effects of genotype by environment interactions (GEIs) and to select for storage root yield stability and sweetness among the new promising honey sweet potato lines. Field trials have been carried out using randomized completed block design, which was repeated thrice for the 16 genotypes, across six locations in West Java, Indonesia. To estimate GEIs, data were analyzed using combined analysis of variance. Storage root yield stability (t/ha) and sweetness (°brix) were estimated using parametric measurements, nonparametric measurements, and GGE biplot. The results showed that the genotype (G), environment (E), and GEIs have significant influences on storage root yield and sweetness. Two genotypes, SP3 and SP16, have been identified as the most stable ones with high yield and sweetness across several locations. These two superior genotypes are recommended as potential new honey sweet potato varieties for West Java, Indonesia.

VIS3COS

We study the impact of local density and stellar mass on the structure and morphology of approximately 500 quiescent and star-forming galaxies from the VIMOS Spectroscopic Survey of a Superstructure in COSMOS (VIS3COS). We perform bulge-to-disc decomposition of the surface brightness profiles and find ∼41 ± 3% of &gt; 1010 M⊙ galaxies to be best fitted with two components. We complement our analysis with non-parametric morphological measurements and qualitative visual classifications. We find that both galaxy structure and morphology depend on stellar mass and environment for our sample as a whole. We only find an impact of the environment on galaxy size for galaxies more massive than 1011 M⊙. We find higher Sérsic indices (n) and bulge-to-total ratios (B/T) in high-density regions when compared to low-density counterparts at similar stellar masses. We also find that galaxies with higher stellar mass have steeper light profiles (high n, B/T) compared to galaxies with lower stellar mass. Using visual classifications, we find a morphology–density relation at z ∼ 0.84 for galaxies more massive than 1010 M⊙, with elliptical galaxies being dominant at high-density regions and disc galaxies more common in low-density regions. However, when splitting the sample into colour–colour-selected star-forming and quiescent sub-populations, there are no statistically significant differences between low- and high-density regions. We find that quiescent galaxies are smaller, have higher Sérsic indices (for single profiles, around n ∼ 4), and higher bulge-to-total light ratios (for decomposed profiles, around B/T ∼ 0.5) when compared to star-forming counterparts (n ∼ 1 and B/T ∼ 0.3, for single and double profiles, respectively). We confirm these trends with non-parametric quantities, finding quiescent galaxies to be smoother (lower asymmetry, lower M20) and to have most of their light over smaller areas (higher concentration and Gini coefficient) than star-forming galaxies. Overall, we find a stronger dependence of structure and morphology on stellar mass than on local density and these relations are strongly correlated with the quenching fraction. The change in average structure or morphology corresponds to a change in the relative fractions of blue disc-like galaxies and red elliptical galaxies with stellar mass and environment. We hypothesise that the processes responsible for the quenching of star formation must also affect the galaxy morphology on similar timescales.

EFFICIENCY PERFORMANCE ANALYSIS OF PANIN DUBAI SYARIAH BANK IN COLLECTING AND DISTRIBUTING THIRD PARTY FUNDS BEFORE AND AFTER MERGER

In this study, the researcher would make Panin Dubai Syariah Bank was the object of research on Islamic banks that carry out mergers and acquisitions. This research by using quarterly financial reports to determine the level of efficiency of the Panin Dubai Syariah Bank to be analyzed using the Data Envelopment Analysis (DEA) method. The researcher was used the annual report to find out the extent the Panin Dubai Syariah Bank carries out its Shariah values and objectives to be analyzed based on the Maqashid Index Sharia. The frontier approach can be divided into parametric approaches and non-parametric approaches. The parametric approach takes measurements using stochastic econometrics and seeks to eliminate interference from the effects of inefficiency. While the non-parametric approach with linear programs ( non-parametric linear programming approach ) performs non-parametric measurements using an approach is not stochastic and tends to combine the interference into inefficiency. This is based on the discovery and observation of the population and evaluates efficiency relative to the units observed. In the non- parametric method, the approaches that can be used are Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). The results of the measurement of Bank Panin Dubai Syariah using DEA indicate that the decision to merge carried out by Panin Syariah Bank with Dubai Islamic Bank was the right decision because, with the merger, Panin Dubai Syariah Bank could produce almost perfect efficiency value of 99% in the year 2015. With doing the merger, Bank Panin Dubai Syariah can minimize the inefficiencies that occur in the input variable so that it can maximize the efficiency that occurs in the output variable

Input allocation in multi-output settings: Nonparametric robust efficiency measurements

Comparing decision making units to detect their potential efficiency improvement, without relying on parametric unverifiable assumptions about the production process, is the goal of nonparametric efficiency analysis (such as FDH, DEA). While such methods have demonstrated their practical usefulness, practitioners sometimes have doubts about their fairness. In multi-output settings, two main limitations could give credit to their doubts: (1) the production process is modelled as a “black box,” i.e., it is implicitly assumed that all the inputs produce simultaneously all the outputs; (2) only techniques investigating for outliers in all output directions simultaneously exist. In this article, we tackle these two limitations by presenting two new nonparametric robust efficiency measurements for multi-output settings. Our new measurements present several attractive features. First, they increase the realism of the modelling by taking the links between inputs and outputs into account, and thus tackle (1). Second, they provide flexibility in the outlier detection exercise, and thus also tackle (2). Overall, our new measurements better use the data available, and can be seen as natural extensions of well-known nonparametric robust efficiency measurements for multi-output contexts. To demonstrate the usefulness of our method, we propose both a simulation and an empirical application.

A catalogue of structural and morphological measurements for DES Y1

We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parametric measurements are produced for g, r and i filters. The parameters from the best-fitting Sersic model (total magnitude, half-light radius, Sersic index, axis ratio and position angle) are measured with Galfit; the non-parametric coefficients (concentration, asymmetry, clumpiness, Gini, M20) are provided using the Zurich Estimator of Structural Types (ZEST+). To study the statistical uncertainties, we consider a sample of state-of-the-art image simulations with a realistic distribution in the input parameter space and then process and analyse them as we do with real data: this enables us to quantify the observational biases due to PSF blurring and magnitude effects and correct the measurements as a function of magnitude, galaxy size, Sersic index (concentration for the analysis of the non-parametric measurements) and ellipticity. We present the largest structural catalogue to date: we find that accurate and complete measurements for all the structural parameters are typically obtained for galaxies with SExtractor MAG AUTO I < 21. Indeed, the parameters in the filters i and r can be overall well recovered up to MAG AUTO < 21.5, corresponding to a fitting completeness of ~90% below this threshold, for a total of 25 million galaxies. The combination of parametric and non-parametric structural measurements makes this catalogue an important instrument to explore and understand how galaxies form and evolve. The catalogue described in this paper will be publicly released alongside the Dark Energy Survey collaboration Y1 cosmology data products at the following URL: https://des.ncsa.illinois.edu/releases/y1a1/gold/morphology.