E-Marketing Jaya Abadi Computer (JAC)

Internet has been widely used by manufacturers and distributors to expand product markets for its advantageous in quick process, practicality and low cost. Jaya Abadi Computer (JAC) as a sales distributor and service agent of computer equipment still perform its direct marketing manually on the spot, so that the marketing only reaches a small scope. This article analyzes the market opportunity of JAC; determines the marketing strategy and builds e-marketing website for JAC based on customer experience using The Seven Stage Cycle of Internet Marketing. The results obtained are an e-marketing website to support the marketing activities of JAC. Eventually it can be concluded that by building an e-marketing, JAC can reach as well as expand market opportunities in virtual world, use the right marketing strategy, and meet customer needs through features on the website

Towards a Flexible Learning Ecosystem in Philippine Tertiary Education

The Philippines has responded to the COVID-19 pandemic by implementing a lockdown in an effort to suppress the spread of the disease. This measure has led to unprecedented disruption in many sectors of the economy. Educational institutions have similarly been affected. As schools are the ideal breeding ground for “super spreader” events, the suspension of face-to-face instruction is an important control measure from a public health perspective. Physical closures may need to be maintained even after the lockdown is eased. This situation poses a challenge on how to maintain the continuity of the Philippines’ human capital development during the pandemic

The Economic Impact of the Metro Manila (NCR) Enhanced Community Quarantine

Metro Manila (NCR) comprises 37.5 percent of the Philippine gross domestic product (GDP) and the 30-day enhanced community quarantine (ECQ) will cause a significant decline in the national economy. This policy brief is based on a persistent inoperability input-output model to estimate two metrics: inoperability and economic losses. This takes into account the interdependent nature of the different sectors of the economy and considers the impact of the pandemic on the productivity of sectors directly affected by the ECQ such as the manufacturing, construction, trade, finance, private sector services, and transport sectors. Unlike previous model, PIIM results will provide insights on the impact of the prolonged inoperabilities on the economy. Results show the degree by which each sector is affected and how much economic losses they incur. Such information will be essential in developing strategies for recovery

Comparing world regional sustainable supply chain finance using big data analytics:A bibliometric analysis

Purpose: Sustainable supply chain finance (SSCF) is a fascinated consideration for both academics and practitioners because the indicators are still underdeveloped in achieving SSCF. This study proposes a bibliometric data-driven analysis from the literature to illustrate a clear overall concept of SSCF that reveals hidden indicators for further improvement. Design/methodology/approach: A hybrid quantitative and qualitative approach combining data-driven analysis, fuzzy Delphi method (FDM), entropy weight method (EWM) and fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is employed to address the uncertainty in the context. Findings: The results show that blockchain, cash flow shortage, reverse factoring, risk assessment and triple bottom line (TBL) play significant roles in SSCF. A comparison of the challenges and gaps among different geographic regions is provided in both advanced local perspective and a global state-of-the-art assessment. There are 35 countries/territories being categorized into five geographic regions. Of the five regions, two, Latin America and the Caribbean and Africa, show the needs for more improvement, exclusively in collaboration strategies and financial crisis. Exogenous impacts of wars, natural disasters and disease epidemics are implied as inevitable attributes for enhancing the sustainability. Originality/value: This study contributes to (1) boundary SSCF foundations by data driven, (2) identifying the critical SSCF indicators and providing the knowledge gaps and directions as references for further examination and (3) addressing the gaps and challenges in different geographic regions to provide advanced assessment from local viewpoint and to diagnose the comprehensive global state of the art of SSCF

Reduced-Order Model for Supersonic Transport Takeoff Noise Scaling with Cruise Mach Number

The recent interest in the development of supersonic transport raises concerns about an increase in community noise around airports. As noise certification standards for supersonic transport other than Concorde have not yet been developed by the International Civil Aviation Organization, there is a need for a physics-based scaling rule for supersonic transport takeoff noise performance. Assuming supersonic transport takeoff noise levels are dominated by the engine mixed jet velocity and the aircraft-to-microphone propagation distance, this paper presents a reduced-order model for supersonic transport takeoff noise levels as a function of four scaling groups: cruise Mach number, takeoff aerodynamic efficiency, takeoff speed, and number of installed engines. This paper finds that, as cruise Mach number increases, supersonic transport takeoff noise levels increase while their thrust cutback noise reduction potential decreases. Assuming constant aerodynamic efficiency, takeoff speed, and number of installed engines, the takeoff noise levels and noise reduction potential of a Mach 2.2 aircraft are found to be similar to 15.3 dB higher and similar to 19.2 dB less compared to a Mach 1.4 aircraft, respectively. This scaling rule can potentially yield a simple guideline for estimating an approximate noise limit for supersonic transport, depending on their cruise Mach number

Research-based versus clinical serum creatinine measurements and the association of acute kidney injury with subsequent kidney function: findings from the Chronic Renal Insufficiency Cohort study.

Background:Observational studies relying on clinically obtained data have shown that acute kidney injury (AKI) is linked to accelerated chronic kidney disease (CKD) progression. However, prior reports lacked uniform collection of important confounders such as proteinuria and pre-AKI kidney function trajectory, and may be susceptible to ascertainment bias, as patients may be more likely to undergo kidney function testing after AKI. Methods:We studied 444 adults with CKD who participated in the prospective Chronic Renal Insufficiency Cohort (CRIC) Study and were concurrent members of a large integrated healthcare delivery system. We estimated glomerular filtration rate (eGFR) trajectories using serum creatinine measurements from (i) the CRIC research protocol (yearly) and (ii) routine clinical care. We used linear mixed effects models to evaluate the associations of AKI with acute absolute change in eGFR and post-AKI eGFR slope, and explored whether these varied by source of creatinine results. Models were adjusted for demographic characteristics, diabetes status and albuminuria. Results:During median follow-up of 8.5 years, mean rate of eGFR loss was -0.31 mL/min/1.73 m2/year overall, and 73 individuals experienced AKI (55% Stage 1). A significant interaction existed between AKI and source of serum creatinine for acute absolute change in eGFR level after discharge; in contrast, AKI was independently associated with a faster rate of eGFR decline (mean additional loss of -0.67 mL/min/1.73 m2/year), which was not impacted by source of serum creatinine. Conclusions:AKI is independently associated with subsequent steeper eGFR decline regardless of the serum creatinine source used, but the strength of association is smaller than observed in prior studies after taking into account key confounders such as pre-AKI eGFR slope and albuminuria

Techno-economic and life-cycle assessment of volatile oil extracted from Aquilaria sinensis using supercritical carbon dioxide

Extracts of Aquilaria sinensis possess pharmacological activity that has been widely used in traditional medicines since ancient times. In this study, techno-economic assessment was conducted for extraction of volatile oil from abundant biomass (lignified ring) and resin of A. sinensis to evaluate their respective economic feasibility using supercritical carbon dioxide (SC-CO2) extraction in Malaysia. The assessment revealed that for a production capacity of 5280 kg/y volatile oil, the total capital investment (TCI) was $7.11 million from summation of fixed capital cost and working capital. In terms of operating expenditure (OPEX), the volatile oil extracted from resin and lignified ring of A. sinensis required$ 81.96 million and $52.39 million, respectively. The selling price of volatile oil from resin and lignified ring were estimated to be$ 0.025 million/kg and $ 0.0125 million/kg, respectively. Both volatile oil extracted from resin and lignified ring showed a positive net profit which indicated their profitability. In addition, a cradle-to-gate analysis of life-cycle assessment (LCA) was performed, whereby the extraction process contributed the highest impact towards the environment due to its high energy consumption. Nevertheless, this study estimated that the process might reduce the environmental impacts by approximately 90% when the technology readiness levels (TRLs) reach the level of 9–10. These findings are beneficial in providing preliminary insights in terms of economic and environmental aspects for volatile oil extraction using SC-CO2 technology

A detailed analysis of the HD 73526 2:1 resonant planetary system

We present six years of new radial velocity data from the Anglo-Australian and Magellan Telescopes on the HD 73526 2:1 resonant planetary system. We investigate both Keplerian and dynamical ( interacting) fits to these data, yielding four possible configurations for the system. The new data now show that both resonance angles are librating, with amplitudes of 40 degrees and 60 degrees, respectively. We then perform long-term dynamical stability tests to differentiate these solutions, which only differ significantly in the masses of the planets. We show that while there is no clearly preferred system inclination, the dynamical fit with i = 90 degrees provides the best combination of goodness-of-fit and long-term dynamical stability.Peer reviewe