30 research outputs found
rinikerlab/irsa: Boeselt et. al
No full textRelease corresponding to the paper:
@article{Boeselt2022, title={Improving the IR Spectra Alignment Algorithm with Spectra Deconvolution and Combination with Raman or VCD Spectroscopy}, author={L. Boeselt and R. Aerts and W. Herrebout and S. Riniker}, journal={PhysChemChemPhys}
The Relationship between Ownership Structure and Capital Structure: Evidence from Chemical Sector of Pakistan
No full textObjective – The main objective of this study is to measure the relationship between ownership structure and capital structure by using the chemical sector of Pakistan.
Design – This study is used the panel data and retrieved from the annual reports of the chemical sector of Pakistan for the time period of 2012 to 2017.
Findings – The finding the statistical analysis shows that ownership structure has a significant positive relationship on capital structure. Which mitigate the agency conflicts among managers and shareholders, because the majority of the shareholders would like to have a higher level of debt over equity financing.
Policy Implications – The findings of this study also can be helpful to the policymakers, investors and financial institution in designing ownership structures and financing decisions for firms.
Originality – This is the first study that examined the relationship between ownership structure and capital structure in the context of the chemical sector of Pakistan
How Islamic and Conventional Banks Use Discretionary Loan Loss Provision in Pakistan
No full textThe purpose of this paper is to investigate the use of DLLP in the banking sector of Pakistan. First, the study identifies the factors affecting the use of DLLP in Islamic banks of Pakistan. Secondly, the study also tries to examine the difference between the use of discretion in Islamic and conventional banks. The study used secondary data collection method and applied regression technique for analysis. The study provide evidence that all the factors including CAR, bank size and profitability effect the use of DLLP in Islamic banks except LD and EBTP. The study also found that conventional banks are more involved in DLLP compared with Islamic banks. The reason may be that Islamic banks in Pakistan work under Sharia supervisory board and avoid the practices of earnings management. The sharia principled are based on fairness, justice, and equal chances of profit and loss. This study may be helpful for regulators who can make policies for financial statements to be more transparent. This study can also be useful for investors to get to know how much discretion banks has made on the main accounting item. Keywords: Loan loss provision, Discretionary loan loss provision, Islamic banks, conventional banks, Earnings Management DOI: 10.7176/JPCR/49-03 Publication date:June 30th 202
Matrix metalloproteinases 1, 2, 3 and 9 functional single-nucleotide polymorphisms in idiopathic recurrent spontaneous abortion
No full textARTICLE
Matrix metalloproteinases 1, 2, 3 and 9
functional single-nucleotide polymorphisms
in idiopathic recurrent spontaneous abortion
Nina Pereza
a
, Sas
ˇ
a Ostojic
́
a,
*
, Marija Volk
b
, Miljenko Kapovic
́
a
,
Borut Peterlin
b
a
Department of Biology and Medical Genetics, Faculty of Medicine, University of Rijeka, B. Branchetta 20, 51000 Rijeka,
Croatia;
b
Institute of Medical Genetics, Department of Gynaecology and Obstetrics, UMC Ljubljana, 1000 Ljubljana,
Slovenia
*
Corresponding author.
E-mail address:
[email protected]
(S Ostojic
́).
Nina Pereza, MD, is a PhD student at the Faculty of Medicine, University of Rijeka. She works at the Department
of Biology and Medical Genetics and her main interest of research is reproductive genetics, especially genetic
causes associated with idiopathic recurrent spontaneous abortion.
Abstract
Idiopathic recurrent spontaneous abortion (IRSA) has been associated with abnormalities in the remodelling of endome-
trial extracellular matrix, as well as aberrant matrix metalloproteinase (MMP) gene expression in endometrium of IRSA women and
chorionic villi of IRSA concepti. This study investigated the association of five functional MMP gene promoter polymorphisms (MMP1
1607 1G/2G, MMP2
735 C/T, MMP2
1306 C/T, MMP3
1612 5A/6A and MMP9
1562 C/T) with IRSA. A total of 149 couples with
at least three consecutive IRSA and 149 fertile couples were included in a case–control study. Genotype analysis was performed
using PCR restriction fragment length polymorphism. Statistically significant differences were found in distributions of MMP2
735
CT (chi-squared 10.21,
P
= 0.006; OR 2.15, 95% CI 1.34–3.45,
P
= 0.001), and MMP9
1562 CC (chi-squared 9.06,
P
= 0.010; OR 2.21,
95% CI 1.30–3.80,
P
= 0.004) between IRSA women and controls. Combined analysis of MMP gene polymorphisms did not increase
their predictive value. There were no statistically significant differences in genotype and allele frequencies of any polymorphism
between IRSA men and controls. MMP2
735 C/T and MMP9
1562 C/T functional gene polymorphisms might be associated with
an increased risk of IRSA in women
AGU hydrology days 2013
No full text2013 annual AGU hydrology days was held at Colorado State University on March 25 - March 27, 2013.Includes bibliographical references.Much work has been done in developing and applying inverse methods to aquifer simulation problems. A new direct inversion method was proposed by Irsa and Zhang (2012) which proved that boundary condition is not required for estimating parameters in small-scale aquifer problems. The scope of this paper is to investigate the applicability of this new method for large simulation problems and to incorporate uncertainty measures in the inversion outcomes. The problem considered is a two-dimensional inverse model (50×50 grid) of steady-state flow for a heterogeneous ground truth model (100 ×100 grid) with two hydrofacies types (Chambers et al. 2000). From the ground truth model, twenty wells were sampled for facies types, based on which experimental indicator histogram and directional variograms were computed. These parameters and models were used by Sequential Indicator Simulation (SIS) to generate 60 realizations of hydrofacies patterns, which were conditioned to the facies measurements at wells. These realizations were further smoothed with Simulated Annealing, before they were conditioned with the direct inversion method to the dynamic data, i.e., observed heads and groundwater fluxes sampled at the same well locations. A set of realizations of estimated conductivities, flow fields, and boundary conditions have been created, which center on the "true" solutions from solving the flow problem with the ground truth model. For conductivity estimation, the estimated K was accurate within ±10% of the true values; for boundary condition estimation, the accuracy was within ± 15% of the true values. The inversion system of equations was solved with LSQR (Paige and Saunders 1982) for which we have adopted a matrix scaling preprocessor which speeds up the convergence of the solver by 50 times. In summary, the inverse method was proven applicable for integrating static and dynamic data within a stochastic framework. For inverting large problems, however, careful scaling analysis is needed to improve the performance of the iterative solver. Below we present the true model, 3 of the SIS realizations, and the corresponding inverted models. Both the estimated conductivity distribution and the inverted hydraulic head boundary condition were compared to the true values
An Analysis of Energy Intensity in Indonesian Manufacturing
No full textMany countries utilize their resources at optimal capacity in fostering countries’ economic growth without any concern on environmental impact. Even though the importance of environmental issue as one of the important aspects in sustainable development is fully understood, the economic growth still remained as the priority target. In Indonesia, industry is one of the important sectors both in term of its contribution to national output and national energy consumption. Based on Indonesian Statistic Bureau, industry is always at the top list of contributor of national energy consumption since 2000. This paper employs the decomposition analysis to calculate what factors contribute to the change in energy intensity. We also conduct a panel data analysis to investigate the determinants of energy intensity using firm level data. The result suggests that, even though the industrial sector’s energy intensity is higher than national level, it varied across sub sectors within the industry. Meanwhile, the econometric analysis suggests that wage, age, capital intensity and share of capital owned by private sector have positive impact on energy intensity, whereas size of firms, labor productivity and technology intensity has negative impact on energy intensity.energy intensity, industry, firm, decomposition, panel data
Rythmes Sud-Américains / les Orchestres Jack Irsa, Vincent Casino, F. Bardan et L. Marchat
No full textCollection : Club des variétésComprend : Le facteur de Santa-Cruz : baïon / Franck Barcellini - MUSTAPHA : chacha-cha / Bob Azam - MI NUEVO RITMO : cha-cha-cha / Garcia - Marchand d'eau : cha cha cha / M. Vidalin et J. Datin - Rendez-vous à Brasilia : samba / Ch. Aznavour et Garvarentz - Mambo de Paris / L. Barona - Vivent les vacances : calypso / J. Chabrier et Jo Moutet - PEANUT'S VENDOR : mambo-guaracha / M. Simons - La route enchantée : samba-marchina / Ch. Trenet - MI MUSICA ES PARA TI : cha-cha-cha / R. Touzet - Fleur bleue : baïon / Charles Trénet - A SANTIAGO : baïon / Franck Barcellini - Dans le bleu du ciel bleu : boléro / D. Modugno - Une heure ou deux : boléro cha-cha-cha / F. Bonifay et Jack IrsaBnF-Partenariats, Collection sonore - BelieveContient une table des matière
ESTIMASI PENGGUNAAN VENDOR MANAGED INVENTORY TERHADAP PENGURANGAN BULLWHIP EFFECT PADA VENDOR DAN DISTRIBUTOR PRODUK INFUS (STUDI KASUS: PT OTSUKA INDONESIA)
No full textJika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email [email protected] atau [email protected] Dipublikasikan tanggal 18 November 202
The impact of geopolitical risks on green finance::the moderating role of institutional quality
No full textPurposeThis study examines the impact of geopolitical risk on three key green-finance instruments: green bonds, green credit and green investment. It also examines whether institutional quality can moderate that impact across 54 countries from 2014 to 2022.Design/methodology/approachWe compile a panel of annual data on geopolitical risk, institutional-quality indices and green-finance indicators. Econometric identification relies on feasible generalised least squares, fully modified ordinary least squares and system-GMM estimators, supplemented by interaction models.FindingsGeopolitical risks significantly hinder the development of green finance. However, our findings reveal that institutional quality plays a crucial moderating role, potentially transforming the negative impact of geopolitical risks into a positive one. The interaction analysis demonstrates that high institutional quality not only buffers against adverse geopolitical effects but also can enhance the resilience of green finance.Practical implicationsThe study offers important policy implications, that strengthening institutional quality should be a priority in national strategies for sustainable finance development, particularly in contexts of heightened geopolitical uncertainty. Governments seeking to safeguard sustainable finance flows under rising geopolitical uncertainty should prioritise institutional reforms, such as stronger rule-of-law safeguards and predictable regulatory frameworks, as part of their national green finance strategies.Originality/valueThis study demonstrates that robust institutions can safeguard and even enhance green finance during times of heightened geopolitical risk. It provides a crucial cross-country analysis to assess the impact of green finance across various types
The sustainability challenge and social benefits of industrialisation in NICs
No full textThis study examines the impact of industrialisation, innovation, foreign capital, and financial development on resource management and social well-being in newly industrialised countries from 1999 to 2022. Using fixed effects models as the foundation for regression analysis, we incorporate advanced econometric techniques, including Fully Modified Ordinary Least Squares (FMOLS) and Generalised Method of Moments (GMM) to effectively tackle issues of heteroscedasticity and autocorrelation, thereby ensuring robust and reliable estimates. Our findings demonstrate that industrialisation and innovation increase material consumption and social well-being. This research adds to the existing literature by providing nuanced insights into the complementary roles of industrialisation and innovation in promoting sustainable development within newly industrialised nations (NICs). The implications of this study are crucial for policymakers and stakeholders, as they offer a strategic framework for fostering economic growth while ensuring resource efficiency and enhancing social welfare
