Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of diversification on systemic risk of conventional banks listed on the Indonesia Stock Exchange

It is believed that bank diversification increases financial stability. However, several theories argue that diversification can trigger the spread of failure because of the increased interconnectivity between institutions. The aim of this study is to determine the impact of diversification on the systemic risk of banks. The sample of the study consists of 21 conventional banks listed on the Indonesia Stock Exchange from 2009 to 2018. The study uses firm-year fixed effect panel regression and an instrumental variable approach to examine how firm-specific variables determine the level of systemic risk. Diversification is measured by bank assets, funding, and revenue diversification. To measure the systemic risk, the Conditional Value-at-Risk (ΔCoVaR) methodology is applied. The results show that an increase in funding diversification leads to a decrease in ΔCoVaR, indicating that funding diversification exacerbates the level of systemic risk, whereas asset diversification and revenue diversification do not have significant effects on the level of systemic risk. The empirical findings suggest that the interconnectivity between banks should be reduced by limiting the diversification of funding in the banks to minimize their systemic risks.
The role of collaborative interorganizational relationships in supply chain risks: a systematic review using a social capital perspective

PurposeThe purpose of this paper is to systematically review, synthesize and critically evaluate the current research status on the role of collaborative interorganizational relationships (CIRs) in supply chain risks (SCRs) from a social capital perspective and provide an organizing lens for future scholarship in this area Design/methodology/approachThis study adopts a systematic literature review approach to investigate 126 articles from 27 peer-reviewed journals between 1995 and 2020 FindingsThis paper investigates supply chain CIRs using a social capital perspective to explain the role of structural, relational and cognitive capital that resides in these relationships in various SCRs (i e environmental, supply, manufacturing, demand, information, financial and transportation) The review reveals that the three social capital dimensions uniquely and both positively and negatively affect different SCRs The findings further suggest that the perceived SCRs can influence the structural and relational capital Practical implicationsThis study calls for practitioners to consider the cognitive alignment with their supply network partners, their relational investments, as well as the interorganizational processes and systems in managing and alleviating SCRs Originality/valueThis review offers a theoretical articulation of how various aspects of CIRs affect SCRs Specifically, this study extends the existing understanding of the role of social capital in SCRs through offering a synthesis of dominant findings and discourses, and avenues for future research
Dynamics of Buyer-Seller Relations in Norwegian Wine Imports

Abstract As for all traded products, aggregated wine imports build on numerous trades at the firm level. To ensure consumers access to a variety of wines with different qualities, importers need to connect to different wine exporters. Some of these relationships will last for a long time, while the duration of others may be short. In this article, we employ transaction-level data to analyze the duration of trade relationships in wine imports to Norway from 2004 to 2014. We find that most relationships are short-lived, as more than 75% of trade relationships end after less than two years. Furthermore, we find that higher-quality wines, as indicated by the import price, increase trade duration. Deeper firm-to-firm trade relationships for more exclusive wines are likely due to higher search costs for high-quality products. The results also show that the size of the initial trade between the partners, or degree of commitment, is a positive determinant for persistent relationships. (JEL Classifications: C41, F14, Q27)
The influence of dietary interventions on paraclinical parameters in patients
with metabolic syndrome

Introduction. Les patients atteints du syndrome métabolique (SM) présentent fréquemment des altérations des tests paracliniques. L’efficacité de l’intervention diététique a été étudiée de manière intensive au cours de la dernière décennie. L’objectif de l’étude. Cette recherche a suivi la corrélation de l’acide urique avec l’évolution des paramètres paracliniques (indice HOMA, cholestérol, triglycérides et protéine C-réactive) chez des patients atteints de SM, suivant l’évolution de déséquilibres spécifiques de la SM, après un régime anti-inflammatoire, associé ou non avec le sport. Matériaux et méthodes. Le suivi des paramètres a été réalisé sur une période de 12 mois, sur un nombre de 110 patients, âgés de> 18 ans, d’indice HOMA> 2, répartis en trois groupes : groupe témoin, groupe diététique, groupe diététique et sportif, respectivement. Résultats. Suite au traitement statistique, la corrélation des paramètres paracliniques indique les éléments ABSTRACT
Expression of long-form prolactin receptor is associated with lower disease-free and overall survival in node-negative breast cancer patients.

Background Breast cancer is the most frequent female malignancy in Thailand. Prolactin (PRL) and prolactin receptor (PRLR) play an important role in normal breast development and carcinogenesis of breast cancer. There are two major isoforms of PRLR, consisting of long-form (LF-PRLR) and short-form (SF-PRLR) that stimulate different signaling pathways. This study aims to explore the associations between all PRLR isoforms (all-PRLR) and LF-PRLR with clinicopathological parameters in breast cancer patients. Methods A total of 340 patients were recruited from January 2009 to December 2015. Expressions of PRLR in breast cancer tissue were determined by immunohistochemistry using specific antibodies that recognize different domains of PRLR (B6.2 for all-PRLR and H-300 for LF-PRLR). The associations between all-PRLR and LF-PRLR expressions with clinicopathological parameters were evaluated. Results Expression of all-PRLR was observed in 86.2% of all patients while LF-PRLR expression was observed in 54.4%. All-PRLR was co-expressed with estrogen receptor (ER) and progesterone receptor (PR). LF-PRLR expression was associated with high grade tumor and human epidermal growth factor receptor-2 (HER2) overexpression (P=0.010 and <0.001, respectively). Subgroup analysis revealed that LF-PRLR expression was the independent predictor for lower disease-free survival (DFS) in node-negative breast cancer patients with high expression of all-PRLR [hazard ratio (HR): 5.224, 95% confidence interval (CI): 1.089-25.064, P=0.039]. Conclusions The presence of LF-PRLR in the patients with high expression of all-PRLR was associated with adverse outcome. Evaluation of all-PRLR and LF-PRLR might be used as novel prognosticators in node-negative breast cancers.
Developmental and Tissue Patterns of the Basal Expression of Chicken Avian β-Defensins

Defensins are a class of antimicrobial peptides in vertebrates that function as the first line of innate immunity with potent antimicrobial and immunomodulatory activities. Fourteen defensins, namely, avian β-defensin 1 to 14 (AvBD1-14), have been identified in chickens. Before characterizing the role of AvBDs in innate immunity during the early development of chickens, we collected tissue segments from the liver, spleen, and gastrointestinal (GI) tract including the esophagus, crop, proventriculus, gizzard, duodenum, jejunum, ileum, cecum, and colon from broilers at days 1, 3, 7, 14, and 28. After RNA isolation and reverse transcription, we determined the expression levels of the 14 AvBD genes in these tissues during the first 28 days after hatching by real-time PCR. The results suggested the AvBDs were widely expressed in the chicken liver, spleen, and gastrointestinal (GI) tract. Interestingly, we did not detect AvBD11 expressed in the GI tract, even in the liver and spleen. Additionally, AvBDs were differentially expressed in the chicken GI tract. AvBD5 and AvBD14 were expressed most abundantly in the proximal GI tract, especially the esophagus and crop. Moreover, AvBD5, AvBD7, AvBD9, and AvBD14 were expressed in an inverted-V pattern with the peak being the observed expression at days 3, 7, or 14 in the chicken spleen, esophagus, duodenum, and cecum. Other AvBDs presented biphasic or inverted-V expression patterns in different tissues. The expression levels of all detected AvBDs were strengthened after hatching rather than decreasing steadily. Therefore, AvBDs were found to be expressed widely in the chicken liver, spleen, and GI tract and their expression levels were primarily up regulated during the early development of chicken, implying the potential essential roles of AvBDs in early innate defense and infection resistance of chickens.
APFoam-1.0: integrated CFD simulation of O3–NOx–VOCs
chemistry and pollutant dispersion in typical street canyon

Abstract. Urban air quality issues are closely related to the human health and economic development. In order to improve the resolution and numerical accuracy of urban air quality simulation, this study has developed the Atmospheric Photolysis calculation framework (APFoam-1.0), an open-source CFD code based on OpenFOAM, which can be used to examine the micro-scale reactive pollutant formation and dispersion in the urban area. The chemistry module of the newly APFoam has been modified by adding five new types of reaction, which implements the coupling with atmospheric photochemical mechanism (full O3–NOx–VOCs chemistry) and CFD model. Additionally, numerical model has been validated and shows the good agreement with wind tunnel experimental data, indicating that the APFoam has sufficient ability to study urban turbulence and pollutant dispersion characteristics. By applying the APFoam, O3–NOx–VOCs formation processes and dispersion of the reactive pollutants are analyzed in an example of typical street canyon (aspect ratio H / W = 1). Chemistry mechanism comparison shows that O3 and NO2 are underestimated while NO is overestimated if the VOCs reactions are not considered in the simulation. Moreover, model sensitivity cases reveal that 82 %–98 % and 75 %–90 % of NO and NO2 are related to the local vehicle emissions which are verified as the dominated contributors to local reactive pollutant concentration in contrast to their background conditions. Besides, a large amount of NOx emission, especially NO emission, is beneficial to reduce the O3 concentrations since NO consumes O3. Background precursors (NOx/VOCs) from boundary conditions only contribute 2 %–16 % and 12 %–24 % of NO and NO2 concentrations and raise O3 concentration by 5 %–9 %. Weaker ventilation conditions lead to accumulation of NOx and higher NOx concentration, but a lower O3 concentrations due to the stronger NO titration effect consuming O3. Furthermore, in order to reduce the reactive pollutant concentrations under the odd-even license plate policy (reduce 50 % of the total vehicle emissions), vehicle VOCs emissions should be reduced by at least another 30 % to effectively lower O3, NO and NO2 concentrations at the same time. These results indicate that the examination of the precursors (NOx/VOCs) from both traffic emissions and background boundaries is the key point for better understanding O3–NOx–VOCs chemistry mechanisms in street canyons and providing effective guidelines for the joint prevention and control of local street air pollution.
Classification of Congestive Heart Failure from ECG Segments with a Multi-Scale Residual Network

Congestive heart failure (CHF) poses a serious threat to human health. Once the diagnosis of CHF is established, clinical experts need to assess the severity of CHF in a timely manner. It is proved that electrocardiogram (ECG) signals are useful for assessing the severity of CHF. However, since the ECG perturbations are subtle, it is difficult for doctors to detect the differences of ECGs. In order to help doctors to make an accurate diagnosis, we proposed a novel multi-scale residual network (ResNet) to automatically classify CHF into four classifications according to the New York Heart Association (NYHA) functional classification system. Furthermore, in order to make the reported results more realistic, we used an inter-patient paradigm to divide the dataset, and segmented the ECG signals into two different intervals. The experimental results show that the proposed multi-scale ResNet-34 has achieved an average positive predictive value, sensitivity and accuracy of 93.49%, 93.44% and 93.60% respectively for two seconds of ECG segments. We have also obtained an average positive predictive value, sensitivity and accuracy of 94.16%, 93.79% and 94.29% respectively for five seconds of ECG segments. The proposed method can be used as an auxiliary tool to help doctors to classify CHF.
NITRATE UPTAKE KINETICS IN LETTUCE AS INFLUENCED BY LIGHT AND NITRATE NUTRITION

A mathematical relationship was developed which shows environmental influences of light and nitrate nutrition on growth and nitrate uptake kinetics. Growth chamber experiments provided data for model development and validation. Ion-specific macroelectrodes determined nitrate depletion from recirculating solutions in short-term kinetic tests. Lettuce (Lactuca sativa, cv. Ostinata) was grown under three light levels and three nutrient solution nitrate contents which represented a range of adequate and inadequate environments. Larger, faster-growing plants should have a larger demand for nitrate and hence larger uptake rates than smaller, environmentally stressed plants. Results showed higher sustained levels of nitrate uptake by larger plants. Neither the severity of stress under which a plant was grown nor the plant size were the sole determinants of maximum potential uptake behavior, however. Increased light level was related to an increased ability to transport nitrate on a short-term basis. Increased light level was associated with increased maximum nitrate uptake rates (Vmax) as described by the Michaelis-Menten relationship. The effects of environmental light and nitrate levels on nitrate uptake was incorporated into a power relationship where the maximum uptake velocity was determined in relation to the shoot growth rate.
Analytical Statistics Techniques of Classification and Regression in Machine Learning

This chapter aims to introduce the common methods and practices of statistical machine learning techniques. It contains the development of algorithms, applications of algorithms and also the ways by which they learn from the observed data by building models. In turn, these models can be used to predict. Although one assumes that machine learning and statistics are not quite related to each other, it is evident that machine learning and statistics go hand in hand. We observe how the methods used in statistics such as linear regression and classification are made use of in machine learning. We also take a look at the implementation techniques of classification and regression techniques. Although machine learning provides standard libraries to implement tons of algorithms, we take a look on how to tune the algorithms and what parameters of the algorithm or the features of the algorithm affect the performance of the algorithm based on the statistical methods.
EFFICIENCY OF DISTORTION PRODUCT OTOACOUSTIC EMISSIONS AS A METHOD FOR OTOTOXICITY MONITORING

Objective: The purpose of this study is to describe hearing and auditory functional changes in patients receiving platinum-based treatments and to estimate the capacity of DPOAE and pure tone audiometry in evaluating ototoxicity as well as evaluating the risk factors of ototoxicity. Design: Standard pure tone audiometry at frequencies of 250–8000 Hz, and also at 12000 Hz and DPOAE recording were tested prior to starting chemotherapy and once again at the end of our program. Study sample: 56 patients receiving cisplatin and carboplatin were tested. Results: At the conventional frequencies, ototoxicity occurred in 6 (33%) of 18 patients who received cisplatin and in 12 (32%) of 38 carboplatin patients. Ototoxic hearing loss only at 12000 Hz occurred in 5 (28%) patients who received cisplatin and in 2 (5%) carboplatin patients. DPOAEs declined in 9 (75%) of 12 patients who received cisplatin and in 7 (44%) of 16 carboplatin patients. Increased dosage of platinum brought about hearing loss. Our study also investigated the initial hearing threshold as a risk factor for ototoxicity development. Conclusion: Ototoxicity monitoring ought to be an important and valuable option in patients being treated with chemotherapy.
Using the Canadian Institute for Health Information’s Information Quality Framework to Support Integration and Utilization of Complex, Multi-Jurisdictional Data

The Canadian Institute for Health Information (CIHI) provides essential information on Canada’s health systems and the health of Canadians. This presentation discusses information quality’s role in the integration and utilization of CIHI’s complex, multi-sector and multi-jurisdictional data. IntroductionCIHI’s Data and Information Quality Program is recognized internationally for its comprehensiveness and high standards. As the need for linked data research increases, the requirements on quality continue to grow. CIHI’s multi-sector, multi-jurisdictional healthcare system and the varying health policies, care delivery models, and data collection practices that go with it pose challenges for researchers as they try to pull the data together in a comprehensive way. CIHI’s Information Quality Framework forms the foundation for addressing these challenges and ensuring data are fit for integration and are properly utilized. Objectives and ApproachIn 2019, a connected data quality project was initiated to improve the usability of CIHI’s analytical data. Information quality framework concepts were applied across CIHI data sources to better understand data linkage challenges, measure inconsistencies across data sources, identify opportunities to improve data and standards, and develop resources to support users. ResultsFindings from the project identified key connected data quality activities for the organization to operationalize. These focus on quality assessment and reporting; harmonization of data standards; expanded documentation and analytical resources; data classification and profiling tools to support descriptive analysis; and new source of truth and pre-linked datasets. Quality activities were prioritized based on need and complexity, and “connected data teams” were established to carry out the work. Conclusion / ImplicationsExpansion of CIHI’s quality framework across data sources facilitates its data linkage capabilities and “connected data” use. It enables the evolution of CIHI’s analytical environments and information products from being database specific to integrated-data driven, and facilitates the use of CIHI’s analytical data for research.
Effects of Authentic Leadership on Employees’ Turnover Intention and Self-efficacy in South Korea’s Casino Industry: The Moderating Roles of Employees’ Gender and Age

ABSTRACT Although managers in South Korea’s casino industry have continued to consciously adopt leadership styles, the literature on how authentic leadership has impacted the industry remains scarce. Therefore, the purpose of our study was to investigate the relationships between authentic leadership, employees’ self-efficacy, and turnover intention at casinos, as well as whether employees’ gender and age moderate the relationship between authentic leadership and their self-efficacy. After data were collected from casino employees in South Korea, 281 usable surveys were processed using structural analysis. Among the results, not only did authentic leadership and employees’ self-efficacy positively relate to each other, but customer satisfaction significantly influenced turnover intention as well. Moreover, employees’ gender and age indeed moderated the relationship between their self-efficacy and authentic leadership. This study discusses the several implications of its findings for researchers and practitioners.
Fixed‐time stability of stochastic nonlinear systems and its application into stochastic multi‐agent systems

The paper devotes to study ﬁxed-time stability of stochastic nonlinear systems and ﬁxed-time consensus of stochastic multi-agent systems (SMASs). Firstly, a new ﬁxed-time stability theorem is established and a high-precise estimation of settling time is provided. Secondly, as an application, the ﬁxed-time consensus problem of SMASs is discussed in virtue of the established theorem. A new class of ﬁxed-time nonlinear consensus protocols with stochastic perturbation is designed by employing the neighbour’s information. Based on graph theory, matrix theory and ﬁxed-time stability theorem, we prove that ﬁxed-time consensus of SMASs is achieved under the designed protocol. Moreover, some sufﬁcient conditions are proposed to guarantee ﬁxed-time consensus of SMAS. It is shown that the settling time is not only independent of the initial conditions, but also it has higher precise. In the end, three numerical examples are provided to illustrate correctness of our theoretical results.
Design of a Super Compact UWB Filter Based on Hybrid Technique with a Notch Band Using Open Circuited Stubs

This paper presents a new design of a super compact Ultra wideband (UWB) band-pass filter (BPF) with rejection of X-band satellite applications. For covering the UWB bandpass, the proposed filter is realized using hybrid technique which is achieved by using a Microstrip-Coplanar waveguide-Microstrip transition. The basic structure consists of a modified microstrip in the top layer and CPW in the bottom layer. Later, open-circuited stubs are embedded in the top to implement in-band transmission zeros (TZ) so as to circumvent interference. The simulated results show that the UWB bandpass filter has a high adaptation (S11 ≤ −18 dB) and insertion loss better than 0.4 dB at the passband. The impedance bandwidths are about 114% (3–11 GHz) with upper stopband extends to more than 14 GHz with a depth of greater than 38 dB. In addition, the UWB BPF shows a flat group delay performance with a variation of about 0.15 ns over the entire bandwidth. A prototype of the filter is fabricated and tested. Good agreement is achieved between measurement and simulation. The proposed UWB BPF is compact in size with overall dimensions of 14 by 9.2 mm2. Consequently, the obtained results prove that the presented filter is suitable for UWB wireless devices.