Miracle-dz/UniFAR-FTUs huggingface dataset:
. (2023). Average Tail Risk and Aggregate Stock Returns. Journal of International Financial Markets, Institutions and Money, 82, [101699].

We investigate the role of the average risk across stocks in predicting subsequent market returns using measures of risk that capture the higher moments of the return distribution including variance, skewness and kurtosis, as well as measures of tail risk that combine these. We find that average tail risk has statistically and economically significant predictive ability for market returns, even after controlling for market tail risk, suggesting that average idiosyncratic tail risk contains information about future returns. Average tail risk dominates other measures of average risk that have been documented in the literature, such as variance and skewness. Our results are robust to the inclusion of control variables that capture business cycle effects, and to the use of different measures of tail risk.
Modélisation et caractérisation de matériaux actifs pour la conception de dispositifs magnéto-électriques

La these porte sur la caracterisation experimentale et la modelisation de materiaux a magnetostriction geante et sur leur association avec des materiaux piezoelectriques. Une plateforme de caracterisation dediee a l'etude du couplage magneto-mecanique a ete realisee. Cette plateforme permet la creation dans un echantillon ferromagnetique massif d'une zone homogene de sollicitations magnetique et mecanique. Une instrumentation adaptee mesure la reponse magneto-mecanique de l'echantillon a ces sollicitations. Cette plateforme a ete utilisee pour caracteriser le comportement d'echantillons de Terfenol-D, un materiau a magnetostriction geante. Les resultats obtenus montrent notamment la tres forte influence de la contrainte appliquee sur le comportement magnetique et sur la deformation de magnetostriction du materiau. Un modele de couplage maneto-elastique, s'appuyant sur la definition de coefficients de couplage thermodynamique, est propose pour decrire le comportement anhysteretique du Terfenol-D. A partir de la minimisation d'une fonctionnelle d'energie, les formulations elements finis relatives aux problemes magneto-elastique et electro-elastique sont etablies. La formulation elements finis du probleme magneto-electrique est ensuite obtenue par couplage des deux problemes. Quelques applications sont enfin abordees, notamment celle de structures composites magneto-electriques associant des couches magnetostrictives a des couches piezoelectriques. L'etude de ces structures composites met en avant l'interet d'une telle association de materiaux actifs.
Gene expression Causality and pathway search in microarray time series experiment

Motivation: Interaction among time series can be explored in many ways. All the approach has the usual problem of low power and high dimensional model. Here we attempted to build a causality network among a set of time series. The causality has been established by Granger causality, and then constructing the pathway has been implemented by finding the Minimal Spanning Tree within each connected component of the inferred network. False discovery rate measurement has been used to identify the most significant causalities. Results: Simulation shows good convergence and accuracy of the algorithm. Robustness of the procedure has been demonstrated by applying the algorithm in a non-stationary time series setup. Application of the algorithm in a real dataset identified many causalities, with some overlap with previously known ones. Assembled network of the genes reveals features of the network that are common wisdom about naturally occurring networks. Contact: nitai@lilly.com; chatterjee@stat.umn. edu
Visfatin, an Adipocytokine with Proinflammatory and Immunomodulating Properties1

Adipocytokines are mainly adipocyte-derived cytokines regulating metabolism and as such are key regulators of insulin resistance. Some adipocytokines such as adiponectin and leptin affect immune and inflammatory functions. Visfatin (pre-B cell colony-enhancing factor) has recently been identified as a new adipocytokine affecting insulin resistance by binding to the insulin receptor. In this study, we show that recombinant visfatin activates human leukocytes and induces cytokine production. In CD14+ monocytes, visfatin induces the production of IL-1β, TNF-α, and especially IL-6. Moreover, it increases the surface expression of costimulatory molecules CD54, CD40, and CD80. Visfatin-stimulated monocytes show augmented FITC-dextran uptake and an enhanced capacity to induce alloproliferative responses in human lymphocytes. Visfatin-induced effects involve p38 as well as MEK1 pathways as determined by inhibition with MAPK inhibitors and we observed activation of NF-κB. In vivo, visfatin induces circulating IL-6 in BALB/c mice. In patients with inflammatory bowel disease, plasma levels of visfatin are elevated and its mRNA expression is significantly increased in colonic tissue of Crohn’s and ulcerative colitis patients compared with healthy controls. Macrophages, dendritic cells, and colonic epithelial cells might be additional sources of visfatin as determined by confocal microscopy. Visfatin can be considered a new proinflammatory adipocytokine.
“I Am Here to Assist You Today”: The Role of Entity, Interactivity and Experiential Perceptions in Chatbot Persuasion

ABSTRACT Online users are increasingly exposed to chatbots as one form of AI-enabled media technologies, employed for persuasive purposes, e.g., making product/service recommendations. However, the persuasive potential of chatbots has not yet been fully explored. Using an online experiment (N = 242), we investigate the extent to which communicating with a stand-alone chatbot influences affective and behavioral responses compared to interactive Web sites. Several underlying mechanisms are studied, showing that enjoyment is the key mechanism explaining the positive effect of chatbots (vs. Web sites) on recommendation adherence and attitudes. Contrary to expectations, perceived anthropomorphism seems not to be particularly relevant in this comparison.
Breaking tidal bore: comparison between field data and laboratory experiments

A tidal bore is a surge of waters propagating upstream as the tidal flow turns to rising and the flood tide rushes into a funnel shaped river mouth with shallow waters. The present study focused on the unsteady turbulence induced by a breaking tidal bore through some physical modelling. The laboratory data were compared systematically with some field measurements conducted in the breaking bore of the Selune River (France) by Mouaze et al. [12]. A key finding was the close agreement in terms of dimensionless free-surface and velocity data between laboratory and field observations. The results supported the implementation of the Froude dynamic similarity.
PARENTS' PREPARATION FOR THE DEHOSPITALIZATION OF CHILDREN USING TRACHEOSTOMY AND GASTROSTOMY

Objective: to report the experience of an educational action for the preparation of parents for the dehospitalization of children using tracheostomy and gastrostomy. Method: experience report on an educational action, which is part of a Training Program of a public hospital of high complexity reference in pediatrics, from December 2017 to December 2018. Results: the preparation of those responsible for the dehospitalization of children using tracheostomy and gastrostomy was made from 5 stages: 1) Instructions to parents; 2) Training of parents to handle the device used by the child; 3) Manipulation of the devices by parents under the supervision of the nurse; 4) Feedback offered by Nursing; and 5) Evaluation of educational action. Final considerations: It is believed that the therapeutic education provided to those involved contributed to the qualification of care for children using tracheostomy and gastrostomy, favoring their quality of life and reducing home complications related to inadequate handling of the devices in question.
Quality Control of Soil Water Data in ACIS – A Case Study in Quality Control of Soil Water Data in ACIS – A Case Study in Nebraska Nebraska

Soil moisture is the key state variable from both climate and hydrologic cycle assessment perspectives. Automated measurements of soil moisture were not possible in the past decades. Sensors deployed in the field with real-time monitoring networks such as the Automated Weather Data Network (AWDN) in Nebraska have not only become affordable but enhanced the monitoring capability of the network with valuable soil moisture data added to the existing stream of hourly and daily weather data for precipitation, air temperature, humidity, solar radiation, wind speed, and soil temperature. However, to assure the quality of the data, quality control (QC) tools are needed. Earlier studies lacked the QC of soil water data in general as they were not part of a network that routinely collected soil water measurements. This paper presents a systematic QC analysis and methodology to evaluate the performance of candidate QC techniques using spatially-extenstive soil water dataset available from the AWDN network. The six tests included are based on the general behavior of soil moisture, the statistical characteristics of the measurements, the soil properties, and the precipitation measurements. The threshold, step change, and spatial regression test proved most effective in identifying data problems. The results demonstrate that these methods will lead to early identification of potential instrument failures and other disturbances to the soil water measurements.
A Brief Review on Identification, Categorization and Elimination of Power Quality Issues in a Microgrid Using Artificial Intelligent Techniques

Power quality is the manifestation of a disruption in the supply voltage, current, or frequency that damages the utility equipment and has become an important issue with the introduction of more sophisticated and sensitive devices. So, the supply power quality issue still remains a major challenge as its degradation can cause huge destabilization of electrical networks. As renewable energy sources have irregular nature, a microgrid essentially needs an energy storage system containing advanced power electronic converters, which is the root cause of the majority of power quality disturbances. Also, the integration of non-linear and unbalanced loads into the grid adds to its power quality problems. This article gives a compact overview of the identification, categorization, and mitigation of these power quality events in a microgrid by using various Artificial Intelligence-based techniques like Optimization techniques
THE IMPACT OF BURNOUT ON TURNOVER INTENTION AMONG NURSES: THE MEDIATING ROLE OF JOB SATISFACTION

Nursing is one of the most demanding profession, which plays a central role in all healthcare facilities. However, the nature of the work is very challenging that it often causes a state of emotional, physical, and mental exhaustion among these professionals which includes loss of motivation, emotional exhaustion, frustration, poor relationships with colleagues, longer working hours and lack of autonomy. Thus, a good environment is provided in the hospital with a safe and comfortable space for them to work without being stressed. Yet still, the nursing profession is facing another shortage era, which makes this problem even more pressing in addition to high demands of healthcare. Despite of existing stress, the retention of experienced staff nurses is paramount to ensure patient safety and quality of care. There is an absolute need for scientific investigations to look over nursing problems, particularly burnout and turnover intention. This research aims to analyze the correlation between burnout, job satisfaction, and turnover intentions among nurses in Madinat Zayed Hospital, where one of the pressing problems in management is the high bad attrition of nurses which negatively impacts the hospital finances and service quality. This study examines the causes and consequences of burnout among nurses, review the influence of empowering work conditions and how job satisfaction provide a mediating effect and will scrutinize the incivility of nurses' experiences of occupational burnout. A survey was conducted which was participated by 186 nurses in MZH out of 235 nurses, it focused on how they perceive burnout, job satisfaction, and turnover intention. statistical analyses were performed to test the hypotheses, namely is Linear Regression Analysis. The present study’s findings indicate a positive relationship between burnout and turnover, as well as a negative relationship between burnout and job satisfaction, On the other hand, negative relationship between job satisfaction and turnover intention for those who took part in the survey. The findings also revealed a partial negative mediating effect of job satisfaction on the relationship between burnout and turnover intention. This research can be useful to develop and enhance policies that may significantly reduce turnover intentions and sustain high-quality healthcare services in the UAE. Studying the relationships between psychosocial risks and health emergencies would be relevant in protecting nurses and other healthcare professionals.
Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique

Abstract. Source apportionment models were widely used to successfully assign highly time-resolved aerosol data to specific emissions and/or atmospheric chemical processes. These techniques are necessary for targeting the sources affecting air quality and for designing effective mitigation strategies. Moreover, evaluation of the toxicity of airborne particulate matter is important since the classically measured particulate matter (PM) concentrations appear insufficient for characterizing the impact on human health. Oxidative potential (OP) measurement has recently been developed to quantify the capability of PM to induce an oxidative imbalance in the lungs. As a result, this measurement unit could be a better proxy than PM mass concentration to represent PM toxicity. In the present study, two source apportionment analyses were performed using positive matrix factorization (PMF) from organic aerosol (OA) mass spectra measured at a 15 min time resolution using a time-of-flight aerosol chemical speciation monitor (ToF-ACSM) and from 19 trace elements measured on an hourly basis using an online metal analyser (Xact 625i). The field measurements were carried out in summer 2018. While it is common to perform PMF studies individually on ACSMs and more recently on Xact datasets, here we used a two-step methodology leading to a complete PM1 source apportionment. The outputs from both OA PMF and Xact PMF, the inorganic species concentrations from the ACSM, and the black carbon (BC) fractions (fossil fuel and wood burning) measured using an Aethalometer (AE33) were gathered into a single dataset and subjected to a combined PMF analysis. Overall, eight factors were identified, each of them corresponding to a more precise source than performing single PMF analyses. The results show that besides the high contribution of secondary ammonium sulfate (28 %) and organic nitrate (19 %), about 50 % of PM1 originated from distinct combustion sources, including emissions from traffic, shipping, industrial activities, cooking, and biomass burning. Simultaneously, PM1 filters were collected during the experimental period on a 4 h sampling basis. On these filters, two acellular OP assays were performed (dithiothreitol; OPDTT and ascorbic acid; OPAA) and an inversion method was applied on factors issued from all PMFs to assess the contribution of the PM sources to the OP. This work highlights the sensitivity of OPAA to industrial and dust resuspension sources and those of OPDTT to secondary ammonium sulfate, shipping, and biomass burning.
The productivity impact of R&D investment: are high-tech sectors still ahead?

Our aim is to investigate the relationship between a firm's R&D expenditures and its productivity, looking at sectoral peculiarities. We use a unique longitudinal database consisting of 1809 US and European manufacturing and service firms over the period 1990–2008. Our main findings can be summarised as follows. Consistently with previous literature, the knowledge stock has a significant positive impact on a firm's productivity. More interestingly, the coefficient turns out to be significantly larger in the R&D-user services and high-tech manufacturing sectors than in the non-high-tech manufacturing sectors. Contrary to the ‘latecomer advantage’ approach, these outcomes suggest that firms in high-tech sectors are still ahead in terms of impact on productivity of R&D investments.
. (2019). Pain and analgesia in pet rabbits within the veterinary environment: a review. Veterinary Anaesthesia and Analgesia, 46(2), 151-162.

Objective To provide an overview of pain and analgesia in rabbits with the aim of developing a more accurate understanding of these topics. To illustrate and discuss the areas that have advanced in recent years and those that still require further research. Databases used Three key subject resources were used: Web of Science, Medline and CAB Abstracts. Search terms including rabbits, lagomorphs, laboratory animals, pet, pain, surgical procedures, ovariohysterectomy, orchiectomy, castration, analgesia, opioids, and non-steroidal-anti-inflammatory drugs were included. References from books and articles relevant to the topics were also included. Conclusions Rabbit medicine has improved over the last 20 years, but the literature suggests that pain management in this species is still inadequate and veterinary professionals believe their knowledge of pain and analgesia in this species is limited. Assessment and quantification of pain in rabbits can be challenging in a clinical environment not only because as prey species rabbits tend to hide signs of pain but also because there are no validated methods to assess pain except the Rabbit Grimace Scale (RbtGS) which is based on only one rabbit breed. It is the current consensus that peri-operative multimodal analgesia is best practice. However, it is not widely used in rabbits. In rabbits, analgesia protocols and dosages reported in the literature are often poorly researched and do not result in complete pain amelioration with the return of normal behaviour of the rabbit. The present literature on rabbit pain and analgesia presents gaps either due to unexplored areas or insufficient findings. Further research should focus on these areas with the aim of improving the welfare of rabbits within a veterinary clinic.
Macroeconomic Factors and the Prospects of Economic Prosperity in a Developing Economy: Evidence from Dynamic ARDL Simulations and KRLS Techniques

This study simulated the counterfactual shock effects of inflation and exchange rates on economic prosperity (measured by GDP per capita) when considering deficit financing, foreign investment, and financial development for Nigeria from 1970 to 2020. Empirical inferences were derived by applying the novel dynamic ARDL and the Kernel regularised least squares models. Applying both techniques enabled the response of economic prosperity to future counterfactual shocks to the inflation and exchange rate variables. It was observed that inflationary shocks might have long-term beneficial effects on economic prosperity; however, shocks to the exchange rate will erode these benefits. Findings also showed that inflation rate and deficit financing adversely impacted short and long-term economic wealth. Contemporaneously, the exchange rate and financial development only benefited economic prosperity in the long term, while foreign investment was ineffectual. The study also proposed several policy measures.
Impact of temperature on the role of Criegee intermediates and peroxy radicals in dimer formation from β-pinene ozonolysis

Abstract. Stabilized Criegee intermediates (SCIs) and organic peroxy radicals (RO2) are critical in atmospheric oxidation processes and secondary organic aerosol (SOA) formation. However, the influence of temperature on their corresponding reaction mechanisms in SOA formation is unclear. Through utilizing formic acid as a SCI scavenger and regulating the ratio of hydroperoxyl radials (HO2) to RO2 ([HO2]/[RO2]) from ∼ 0.3 to ∼ 1.9 using different concentrations of CO, the roles of RO2 and SCIs in SOA formation were investigated from 248 to 298 K, particularly for dimer formation in β-pinene ozonolysis. The SOA yield increased by 21 % from 298 to 273 K, while it decreased by 40 % from 273 to 248 K. Both changing [HO2]/[RO2] and scavenging SCIs significantly affect SOA yield and composition. SCI reactions accounted for more than 40 % of dimer and SOA mass formation for all temperatures. Increasing [HO2]/[RO2] inhibited dimer and SOA formation, and this inhibition became larger with decreasing temperature. Compared to low [HO2]/[RO2] (0.30–0.34), the dimer abundance at high [HO2]/[RO2] (1.53–1.88) decreased by about 31 % at 298 K and 70 % at 248 K. [HO2]/[RO2] has a specific impact on SCI-controlled dimers at lower temperatures by especially influencing the C9–SCI reactions with RO2. The dimers formed from C9–SCI reactions with RO2 were estimated to decrease by 61 % at high [HO2]/[RO2] compared to low [HO2]/[RO2] at 248 K. The high reactivity and substantial contribution to SOA of β-pinene-derived SCIs at lower temperatures observed in this study suggest that monoterpene-derived SCI reactions should be accounted for in describing colder regions of the atmosphere.
Analisis Pengaruh NPF, FDR, BOPO, CAR, dan GCG terhadap Kinerja Keuangan Bank Umum Syariah di Indonesia Periode 2013-2017

This study aims to determine the Influence of NPF, FDR, BOPO, CAR, and GCG on Financial Performance of Sharia Commercial Banks in Indonesia Period 2013-2017. This research use quantitative research method with population in this research is all sharia commercial bank in Indonesia period 2013-2017. The total sample is eight of sharia commercial banks, based on purposive sampling method. Data collection is done by library method from journals, articles or literatures that related to required data, and documentation method of annual report and GCG implementation report of sharia public bank in question as well as data from OJK website. The research method used is statistical descriptive test, descriptive test by analyzing GCG through GCG implementation report using content analysis method, classical assumption test, multiple regression test. The results showed that simultaneously NPF, FDR, BOPO, CAR, and GCG variables significantly influence the Financial Performance of Sharia Commercial Banks in Indonesia Period 2013-2017. While the partial variable of NPF has positive effect not significant to ROA, FDR variable has positive effect not significant to ROA, BOPO variable has significant negative effect to ROA, CAR variable has positive effect not significant, and GCG variable has positive effect not significant to ROA of Sharia Commercial Bank in Indonesia 2013-2017 period.