UNDERSTANDING THE ‘SHADOW ECONOMY’ IN SMES – A MALPRACTICE FROM INDONESIA, 2009-2020

<p>Concerns about the shadow economy in Indonesia, estimated to have hurt GDP by around 25% per year. We try to calculate the effect of the components involved in tax revenue caused by the shadow economy because we projected it to hinder the growth of SMEs. It aimed the orientation at Indonesia. We got data coverage from official institutions of national and international related to variable limits. We observe the development in the period 2009-2020, which requires linear regression analysis methods and non-linear logistic regression. The results confirm that among the six hypotheses we propose, five hypotheses are acceptable, i.e. FDI has a significant effect on the share of SMEs, corruption perceptions and control of corruption have a significant effect on income and profit taxes, then it also has a significant effect on the shadow economy, and the shadow economy also has an effect significant to tax revenue. From other findings, only the share of SMEs has no significant effect on income and profit taxes. The added value of this empirical finding can reduce the weaknesses of previous studies that predominantly consider financial (tax) and economic dimensions so that variables such as SMEs, corruption control, and public perceptions of corruption.</p>

Application of AIRS Soundings to Afternoon Convection Forecasting and Nowcasting at Airports

In Taiwan, the frequency of afternoon convection increases in summer (July and August), and the peak hour of afternoon convection occurs at 1500–1600 local solar time (LST). Afternoon convection events are forecasted based on the atmospheric stability index, as computed from the 0800 LST radiosonde data. However, the temporal and spatial resolution and forecast precision are not satisfactory. This study used the observation data of Aqua satellite overpass near Taiwan around 1–3 h before the occurrence of afternoon convection. Its advantages are that it improves the prediction accuracy and increases the data coverage area, which means that more airports can use results of this research, especially those without radiosondes. In order to determine the availability of Atmospheric Infrared Sounder (AIRS) in Taiwan, 2010–2016 AIRS and radiosonde-sounding data were used to determine the accuracy of AIRS. This study also used 2017–2018 AIRS data to establish K index (KI) and total precipitable water (TPW) thresholds for the occurrence of afternoon convection of four airports in Taiwan. Finally, the KI and TPW were calculated using the independent AIRS atmospheric sounding (2019–2020) to forecast the occurrence of afternoon convection at each airport. The average predictive accuracy rate of the four airports is 84%. Case studies at Hualien Airport show the average predictive accuracy rate of this study is 81.8%, which is 9.1% higher than that of the traditional sounding forecast (72.7%) during the same period. Research results show that using AIRS data to predict afternoon convection in this study could not only increase data coverage area but also improve the accuracy of the prediction effectively.

A comprehensive high cost drugs dataset from the NHS in England - An OpenSAFELY-TPP Short Data Report

Background: At the outset of the COVID-19 pandemic, there was no routine comprehensive hospital medicines data from the UK available to researchers. These records can be important for many analyses including the effect of certain medicines on the risk of severe COVID-19 outcomes. With the approval of NHS England, we set out to obtain data on one specific group of medicines, “high-cost drugs” (HCD) which are typically specialist medicines for the management of long-term conditions, prescribed by hospitals to patients. Additionally, we aimed to make these data available to all approved researchers in OpenSAFELY-TPP. This report is intended to support all studies carried out in OpenSAFELY-TPP, and those elsewhere, working with this dataset or similar data. Methods: Working with the North East Commissioning Support Unit and NHS Digital, we arranged for collation of a single national HCD dataset to help inform responses to the COVID-19 pandemic. The dataset was developed from payment submissions from hospitals to commissioners. Results: In the financial year (FY) 2018/19 there were 2.8 million submissions for 1.1 million unique patient IDs recorded in the HCD. The average number of submissions per patient over the year was 2.6. In FY 2019/20 there were 4.0 million submissions for 1.3 million unique patient IDs. The average number of submissions per patient over the year was 3.1. Of the 21 variables in the dataset, three are now available for analysis in OpenSafely-TPP: Financial year and month of drug being dispensed; drug name; and a description of the drug dispensed. Conclusions: We have described the process for sourcing a national HCD dataset, making these data available for COVID-19-related analysis through OpenSAFELY-TPP and provided information on the variables included in the dataset, data coverage and an initial descriptive analysis.

Assessment of α-Cypermethrin Pour-On Application and Diminazene Aceturate for Treating Trypanosome-Related Diseases Caused by Tsetse Flies on Cattle in Mô, Togo

The effects of tsetse-transmitted trypanosomosis control in high tsetse flies (Glossina spp.) challenge and trypanocidal drug resistance settings remain poorly understood in Togo owing to poor data coverage on the current disease impact. From March 2014 to November 2017, a database of zoo-sanitary surveys integrating the evolution of disease incidence and intervention coverage made it possible to quantify the apparent effects attributable to the control effort, focused on all sedentary cattle breeds in the 1,000 km² area of Mô in Togo. The strategy involved an initial phase with cross-sectional entomological and parasitological. Then, three times a year, 20% of the bovine animals of the study area received α-cypermethrin pour-on, and infected cattle with poor health (798 cattle in 2014 and 358 in 2017) were individually given diminazene aceturate at 7 mg/kg of body weight. The tsetse density in the area decreased significantly, from 1.78 ± 0.37 in March 2014 before the α-cypermethrin application to 0.48 ± 0.07 in February 2017. The α-cypermethrin pour-on application and diminazene aceturate treatment of cattle led to the largest reduction in disease incidence, from 28.1% in 2014 to 7.8% in 2017, an improvement in hematocrit from 24.27 ± 4.9% to 27.5 ± 4.6%, and a reduction in calf mortality from 15.9 ± 11% to 5.9%. Improved access to these interventions for different types of livestock and maintaining their effectiveness, despite high tsetse (Diptera: Glossinidae) challenges, should be the primary focus of control strategies in many areas of Togo.

A Review on Li-Fi: The Next Generation Wi-Fi

The Li-Fi stands for Light Fidelity. The technology is very new and was proposed by the German physicist Harald Haas in 2011 TED (Technology, Entertainment, Design) Global Talk on Visible Light Communication (VLC). Light Fidelity (LiFi) is a Visible Light Communication (VLC) based technology that making a light as a media of communication replacing the cable wire communication. LiFi is evolved to overcome the rate speed in Wi-Fi, while using LiFi the rate speed can reach until 14 Gbps. This paper includes an introduction of the LiFi technology including the architecture, working, performance, and the challenges Li-Fi, its applications, features and comparison with existing technologies like Wi-Fi etc. Wi-Fi is of major use for general wireless coverage within building, whereas Li-Fi is ideal for high density wireless data coverage in confined area and especially useful for applications in areas where radio interference issues are of concern, so the two technologies can be considered complimentary. Keywords: LED, Li-Fi Technology, Wi-Fi Technology, Data Transmission, Visible Light, Li-Fi Applications

Negatively buoyant CO2 solution sequestration in synformal traps

Dissolving CO2 into water or brine produces a denser fluid than the CO2-free equivalent at all salinity, temperature and pressure conditions relevant to sedimentary basins. Negative buoyancy of CO2 solutions opens the possibility of utilizing negative relief trapping configurations for CO2 sequestration, as opposed to structural highs conventionally sought for positively buoyant fluids such as hydrocarbons or pure CO2. Exploring sedimentary basins for negative buoyancy traps can readily utilize hydrocarbon exploration datasets and techniques. Some major systemic differences when exploring for negative as opposed to positive buoyancy traps are examined here. Trap spatial scale is a consideration due to the inherent long-wavelength synformal geometry of basins. Antiforms are areally restricted relative to synforms, which may be embedded within larger-scale synformal closure at length scales right up to that of the basin itself. Multiscale synformal structure varies with basin type and may not be fully identified due to truncation effects arising from data coverage limitations. Similar to hydrocarbon exploration, CO2 trap exploration must consider potential sequestration volumes in an uncertainty and risk framework. Charge risk is unnecessary in sequestration projects, however, the multiscale nature of synformal traps should be considered when estimating range of storage volumes.This article is part of the Energy Geoscience Series available at https://www.lyellcollection.org/cc/energy-geoscience-series

Spatial distributions of <i>X</i>_CO₂ seasonal cycle amplitude and phase over northern high-latitude regions

Satellite-based observations of atmospheric carbon dioxide (CO2) provide measurements in remote regions, such as the biologically sensitive but undersampled northern high latitudes, and are progressing toward true global data coverage. Recent improvements in satellite retrievals of total column-averaged dry air mole fractions of CO2 (XCO2) from the NASA Orbiting Carbon Observatory 2 (OCO-2) have allowed for unprecedented data coverage of northern high-latitude regions, while maintaining acceptable accuracy and consistency relative to ground-based observations, and finally providing sufficient data in spring and autumn for analysis of satellite-observed XCO2 seasonal cycles across a majority of terrestrial northern high-latitude regions. Here, we present an analysis of XCO2 seasonal cycles calculated from OCO-2 data for temperate, boreal, and tundra regions, subdivided into 5∘ latitude by 20∘ longitude zones. We quantify the seasonal cycle amplitudes (SCAs) and the annual half drawdown day (HDD). OCO-2 SCAs are in good agreement with ground-based observations at five high-latitude sites, and OCO-2 SCAs show very close agreement with SCAs calculated for model estimates of XCO2 from the Copernicus Atmosphere Monitoring Services (CAMS) global inversion-optimized greenhouse gas flux model v19r1 and the CarbonTracker2019 model (CT2019B). Model estimates of XCO2 from the GEOS-Chem CO2 simulation version 12.7.2 with underlying biospheric fluxes from CarbonTracker2019 (GC-CT2019) yield SCAs of larger magnitude and spread over a larger range than those from CAMS, CT2019B, or OCO-2; however, GC-CT2019 SCAs still exhibit a very similar spatial distribution across northern high-latitude regions to that from CAMS, CT2019B, and OCO-2. Zones in the Asian boreal forest were found to have exceptionally large SCA and early HDD, and both OCO-2 data and model estimates yield a distinct longitudinal gradient of increasing SCA from west to east across the Eurasian continent. In northern high-latitude regions, spanning latitudes from 47 to 72∘ N, longitudinal gradients in both SCA and HDD are at least as pronounced as latitudinal gradients, suggesting a role for global atmospheric transport patterns in defining spatial distributions of XCO2 seasonality across these regions. GEOS-Chem surface contact tracers show that the largest XCO2 SCAs occur in areas with the greatest contact with land surfaces, integrated over 15–30 d. The correlation of XCO2 SCA with these land surface contact tracers is stronger than the correlation of XCO2 SCA with the SCA of CO2 fluxes or the total annual CO2 flux within each 5∘ latitude by 20∘ longitude zone. This indicates that accumulation of terrestrial CO2 flux during atmospheric transport is a major driver of regional variations in XCO2 SCA.

Fantastic lizards and where to find them: cis-Andean microteiids (Squamata: Alopoglossidae & Gymnophthalmidae) from the Colombian Orinoquia and Amazonia

Although Colombia is perceived as one of the most diverse countries in reptiles, the distribution of many microteiid lizards of the Alopoglossidae and Gymnophthalmidae families is still poorly known. This is particularly true for those species in the cis-Andean regions, in part due to the remoteness or socio-political issues within some of these territories. In order to elucidate the diversity and distribution of the cis-Andean microteiids in Colombia, in this study we present a review based on the examination of specimens deposited in the reptile collection at Instituto de Investigación Alexander von Humboldt, one of the most important Colombian biological collections, and data from the literature. We reported a total of 29 taxa, in which three are new records for Colombia and three are range extensions. Two species were assigned to species complex because their morphological determination was non-conclusive, and three were identified just to genus, since they may correspond to more than one entity or be currently non-described. We found that nine species are distributed in both the Amazonia and Orinoquia regions, nine are currently only present in the Amazonia and seven are in the Orinoquia. Based on our data, we highlight the importance of using local museums to increase the taxonomic and geographic data coverage, we discuss the taxonomic difficulties for some taxa, as well as the potential for future research and their constraints. Finally, we present a taxonomic key for the identification of the microteiids present in the Orinoquia and Amazonia regions of Colombia.

Malaria Vector Control and the Electronic Malaria Surveillance Information System (E-SISMAL) in Bangka Barat Regency Indonesia

Introduction: Until the end of 2020, West Bangka Regency was the only one that has not been certified for malaria elimination, so that it has an impact on achieving malaria elimination at the provincial level of Bangka Belitung. The West Bangka Regency's Electronic Malaria Surveillance Information System (E-SISMAL) showed eight indigenous malaria cases and no malaria vector control reports in 2020. The indigenous cases in West Bangka Regency have prevented malaria elimination. This study aims to evaluate malaria vector control to help eliminate malaria. Methods: This research was a qualitative evaluation study with selected informants. E-SISMAL in West Bangka Regency was studied and was analysed with Nvivo 12 Plus for Windows. The variables studied were context, input, process, and product. Focus groups, in-depth interviews, participatory observation, and photovoice were used to collect data. Results and Discussion: The area's topography, miner's behaviour, lack of manual vector reporting, and extensive ex-mining pits were discussed. Each evaluation variable was constrained by the process (supporting data collection and sub-variables) and product (data coverage of malaria vector control in E-SISMAL). Conclusion: It can be concluded that each evaluation variable constrains malaria vector control in West Bangka Regency.

Production and Disruptions of Prawn and Crab: Basis for Supply Chain Management Strategies

Supply chain management strategies will help the prawn and crab growers mitigate and adapt to the impact of various disruptions such as typhoons, water-borne diseases, and climate change. The study was conducted to determine the production and disruptions and prawn and crab basis for supply chain management strategies of the growers. The study employed a descriptive research design using quantitative data. The study used secondary data for performance and disaster history. A content analysis was used in processing the data. The researchers validated the findings and results of the study, and a random interview was conducted. Findings revealed that disruptions affect the production of prawn and crab, growers have their fishing technique and management practices, supply chain management strategies were not prioritized for value-adding and technology accessibility. A supply chain management strategy may be employed to operate and produce prawns and crabs in the Province of Capiz to achieve profitability and sustainability. It should be noted that the data is from 2011 to 2017. The data coverage is the Province of Capiz and focuses on the volume and value of prawns and crab (tiger prawn, endeavor prawn, and mud crab).