UNDERSTANDING MARKET REACTION TO COVID-19 MONETARY AND FISCAL STIMULUS IN MAJOR ASEAN COUNTRIES

In this paper, we examine the effect of fiscal and monetary policy stimulus actions during the COVID-19 pandemic on the stock markets of four ASEAN countries, namely, Indonesia, Singapore, Malaysia, and Thailand. Using time-series regression models, we show the relative importance of monetary and fiscal policies. Our findings suggest that 7-days after the policy announcement, fiscal policies helped cushion financial market losses in Indonesia, Singapore and Thailand. We do not find any robust evidence of policy effectiveness for Malaysia. While our investigation is preliminary it opens an additional avenue for understanding the effectiveness of policy stimulus.In this paper, we examine the effect of fiscal and monetary policy stimulus actions during the COVID-19 pandemic on the stock markets of four ASEAN countries, namely, Indonesia, Singapore, Malaysia, and Thailand. Using time-series regression models, we show the relative importance of monetary and fiscal policies. Our findings suggest that 7-days after the policy announcement, fiscal policies helped cushion financial market losses in Indonesia, Singapore and Thailand. We do not find any robust evidence of policy effectiveness for Malaysia. While our investigation is preliminary it opens an additional avenue for understanding the effectiveness of policy stimulus

Biological nitrogen removal over nitritation/denitritation using phenol as carbon source

A laboratory scale activated sludge sequencing batch reactor was operated in order to obtain total removal of influent ammonia (200; 300 and 500 mg NH3-N.L-1) with sustained nitrite accumulation at the end of the aerobic stages with phenol (1,000 mg C6H5OH.L-1) as the carbon source for denitrifying microorganisms during the anoxic stages. Ammonia removal above 95% and ratios of (NO2--N / (NO2--N + NO3--N)) ranging from 89 to 99% were obtained by controlling the dissolved oxygen concentration (1.0 mg O2.L-1) and the pH value of 8.3 during the aerobic stages. Phenol proved to be an adequate source of carbon for nitrogen removal via nitrite with continuous feeding throughout part of the anoxic stage. Nitrite concentrations greater than 70.0 mg NO2--N.L-1 inhibited the biological denitritation process.FAPESP (The State of São Paulo Research Foundation

Displacement rate effects on mixed-mode I/II delamination of laminated carbon/epoxy composites

Mixed-mode delamination is one of the common failures of composites which has not been studied under low-impact loading. This paper studies the influence of displacement rate on mixed-mode I/II delamination of unidirectional carbon/epoxy composites. Single leg bending test is performed at displacement rates of 1, 10, 100, and 500 mm/min. Experimental results reveal that the mixed-mode I/II fracture toughness is invariant with the displacement rate. In addition, scanning electron micrographs shows that shear cusps are more obvious at 1, 10, and 100 mm/min. At 500 mm/min, significant matrix debris is noticed. Furthermore, the proposed three-dimensional rate-dependent fracture criterion is found to well predict the fracture toughness. Numerical simulation using cohesive zone model suggests that the lower numerical peak load is due to lower damage dissipated energy. In addition, the theoretical and numerical traction-separation responses show significant differences, which is also reflected in the numerical phase angle. This implies that the local mixed-mode ratio is not constant throughout the simulation process

Using illness scripts to teach clinical reasoning skills to medical students

Background and Objectives: Most medical students learn clinical reasoning skills informally during clinical rotations that have varying quality of supervision. We conducted a randomized controlled trial to determine if a workshop that uses "illness scripts" could improve students' clinical reasoning skills when making diagnoses of patients portrayed in written scenarios. Methods: In 2007-2008, 53 fourth-year medical students were randomly assigned to either a family medicine (intervention) or psychiatry (control) clerkship at The Chinese University of Hong Kong. Students in the intervention group participated in a 3-hour workshop on clinical reasoning that used illness scripts. The workshop was conducted with small-group teaching using a Web-based set of clinical reasoning problems, individualized feedback, and demonstration of tutors' reasoning aloud. The effectiveness of the intervention was assessed using the Diagnostic Thinking Inventory (DTI) and the measurement of individual students' performance in solving clinical reasoning problems (CRP). Results: The postintervention overall DTI scores between groups were similar (mean difference 0, 95% confidence interval [CI]= -7.4 to 7.4). However, the total scores on the CRP assessment were 14% (95% CI=8% to 21%) higher in the intervention group than in controls. Conclusion: A workshop on illness scripts may have some benefit for improving diagnostic performance in clinical reasoning problems.link_to_OA_fulltex

Kualitas Semen Segar dan Produksi Semen Beku Sapi Pejantan Madura pada Musim yang Berbeda

Variation among breed and seasons were speculated influence to the quality of fresh semen bull. The aim of this research was to evaluate the quality of fresh semen and the potential of frozen semen production madura bull in rainy and dry seasons at Lembang Artificial Insemination Center (AIC). This research used secondary data of semen production from January to December 2015. In this research were used 5 bulls. The observed variables for macroscopic characteristics of fresh semen were volume, color, pH, and consistency, and microscopic characteristics of fresh semen were mass movement, motility, and concentration of spermatozoa. It could be concluded that the quality of fresh semen and the potential of frozen semen production of several madura bulls were relatively different in the rainy and dry seasons

The Current Role of Viability Imaging to Guide Revascularization and Therapy Decisions in Patients With Heart Failure and Reduced Left Ventricular Function

This review describes the current evidence and controversies for viability imaging to direct revascularization decisions and the impact on patient outcomes. Balancing procedural risks and possible benefit from revascularization is a key question in patients with heart failure of ischemic origin (IHF). Different stages of ischemia induce adaptive changes in myocardial metabolism and function. Viable but dysfunctional myocardium has the potential to recover after restoring blood flow. Modern imaging techniques demonstrate different aspects of viable myocardium; perfusion (single-photon emission computed tomography [SPECT], positron emission tomography [PET], cardiovascular magnetic resonance [CMR]), cell metabolism (PET), cell membrane integrity and mitochondrial function (201Tl and 99mTc-based SPECT), contractile reserve (stress echocardiography, CMR) and scar (CMR). Observational studies suggest that patients with IHF and significant viable myocardium may benefit from revascularization compared with medical treatment alone but that in patients without significant viability, revascularization appears to offer no survival benefit or could even worsen the outcome. This was not supported by 2 randomized trials (Surgical Treatment for Ischemic Heart Failure [STICH] and PET and Recovery Following Revascularization [PARR] -2) although post-hoc analyses suggest that benefit can be achieved if decisions had been strictly based on viability imaging recommendations. Based on current evidence, viability testing should not be the routine for all patients with IHF considered for revascularization but rather integrated with clinical data to guide decisions on revascularization of high-risk patients with comorbidities.Peer reviewe

Effects of Seawater Salinity on Seedling Growth Nodulation and Tissue Nitrogen in Acacia nilotica (L.) Delile

A pot experiment was conducted to determine the effect of sea water salinity on growth, nodulation and nitrogen content of Acacia nilotica (L.) Delile seedlings. Eight weeks old seedlings were irrigated with 40, 50, 60, 70 and 80% sea water for one month. After 12 weeks the plants were uprooted and the nodules were observed for their frequency, shapes and sizes. Nodules showed morphological alterations in size and shape in different salinity levels. The root-shoot ratio, nitrogen contents in the leaf, stem and root were analyzed. In general salt stress resulted in a decrease of plant growth, nodulation and percent tissue nitrogen in A. nilotica plants. Root-shoot ratio showed gradual increase with increasing sea water concentrations. Nitrogen contents decreased in leaf and stem, whereas it increased in roots. Nodules showed morphological alterations in size and shape with increasing salinity. A. nilotica accumulated NaCl in the xylem of the roots that may be considered as a preliminary salt tolerant mechanism adopted by the plant

Modelling of Multi-Agent Systems: Experiences with Membrane Computing and Future Challenges

Formal modelling of Multi-Agent Systems (MAS) is a challenging task due to high complexity, interaction, parallelism and continuous change of roles and organisation between agents. In this paper we record our research experience on formal modelling of MAS. We review our research throughout the last decade, by describing the problems we have encountered and the decisions we have made towards resolving them and providing solutions. Much of this work involved membrane computing and classes of P Systems, such as Tissue and Population P Systems, targeted to the modelling of MAS whose dynamic structure is a prominent characteristic. More particularly, social insects (such as colonies of ants, bees, etc.), biology inspired swarms and systems with emergent behaviour are indicative examples for which we developed formal MAS models. Here, we aim to review our work and disseminate our findings to fellow researchers who might face similar challenges and, furthermore, to discuss important issues for advancing research on the application of membrane computing in MAS modelling.Comment: In Proceedings AMCA-POP 2010, arXiv:1008.314

Multiscale Bone Remodelling with Spatial P Systems

Many biological phenomena are inherently multiscale, i.e. they are characterized by interactions involving different spatial and temporal scales simultaneously. Though several approaches have been proposed to provide "multilayer" models, only Complex Automata, derived from Cellular Automata, naturally embed spatial information and realize multiscaling with well-established inter-scale integration schemas. Spatial P systems, a variant of P systems in which a more geometric concept of space has been added, have several characteristics in common with Cellular Automata. We propose such a formalism as a basis to rephrase the Complex Automata multiscaling approach and, in this perspective, provide a 2-scale Spatial P system describing bone remodelling. The proposed model not only results to be highly faithful and expressive in a multiscale scenario, but also highlights the need of a deep and formal expressiveness study involving Complex Automata, Spatial P systems and other promising multiscale approaches, such as our shape-based one already resulted to be highly faithful.Comment: In Proceedings MeCBIC 2010, arXiv:1011.005