Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconciling carbon‐cycle processes from ecosystem to global scales

Understanding carbon (C) dynamics from ecosystem to global scales remains a challenge. Although expansion of global carbon dioxide (CO2) observatories makes it possible to estimate C‐cycle processes from ecosystem to global scales, these estimates do not necessarily agree. At the continental US scale, only 5% of C fixed through photosynthesis remains as net ecosystem exchange (NEE), but ecosystem measurements indicate that only 2% of fixed C remains in grasslands, whereas as much as 30% remains in needleleaf forests. The wet and warm Southeast has the highest gross primary productivity and the relatively wet and cool Midwest has the highest NEE, indicating important spatial mismatches. Newly available satellite and atmospheric data can be combined in innovative ways to identify potential C loss pathways to reconcile these spatial mismatches. Independent datasets compiled from terrestrial and aquatic environments can now be combined to advance C‐cycle science across the land–water interface.
Independence, Time Budget Pressure, Audit Fee and Workload on Audit Quality as The Impact of Covid-19

This study aims to determine the effect of independence, time budget pressure, audit fees, workload on audit quality as the impact of Covid-19 pandemic on audit firms registered in IAPI Bali. The population of this research are all auditors in 16 audit firms registered in IAPI Bali. This research involved 114 respondents selected by a purposive sampling method with criteria of one-year minimum of service in audit firms. The data were analyzed with multiple linear regression. The results showed that independence has a positive significant effect on audit quality; time budget pressure, audit fees and workloads have no significant effect on audit quality.
Adoption of improved cassava varieties in Nigeria: Insights from DNA fingerprinting versus self-reporting varietal identification approaches

Much of the empirical studies on crop varietal adoption in Sub-Saharan Africa relied on self-reported adoption in farm-household surveys, which is prone to measurement errors. In addition, farmers’ perceptions of consumption-related varietal traits in adoption studies has received limited attention compared with production-related traits. Using DNA-based and self-reported adoption measures, we analyze the adoption of improved cassava varieties (ICVs) with a focus on the extent of varietal misidentification, the sensitivity of the drivers of adoption to varietal misidentification and the role of farmers’ perceptions of biofortification trait in adoption decisions. We find that the adoption rate of ICVs is relatively high using both DNA-based and self-reported adoption measures, but there is notable misclassification in varietal adoption. We find that the mismatch in DNA-based and self-reported adoption measures leads to some variation in the factors that influence the likelihood and intensity of adoption of ICVs. This suggests that appropriate varietal identification helps in better understanding of the drivers of adoption. In addition, we find that despite the observed varietal misclassification, farmers’ perceptions of biofortification trait is significantly correlated with the probability and intensity of adoption of ICVs using both DNA-based and self-reported varietal identification. This suggests that inclusion of biofortification trait in cassava matters for both the likelihood and extent of adoption of ICVs. The latter lends credence to the emerging policy interests in breeding programs for biofortified crops to address hidden hunger in Nigeria.
Temporal Temperature Distribution in Shallow Sediments of a Large Shallow Lake and Estimated Hyporheic Flux Using VFLUX 2 Model

Identifying and quantifying exchange flux across sediment-water interface is crucial when considering water and nutrient contributions to a eutrophic lake. In this study, observed temporal temperature distributions in shallow sediment of Lake Taihu (Eastern China) based on three-depth sensors at 14 sites throughout 2016 were used to assess temporal water exchange patterns. Results show that temporal temperature in shallow sediments differed with sampling sites and depths and the temperature amplitudes also clearly shrunk as the offshore distance increasing. Exchange fluxes estimated using the VFLUX 2 model based on temperature amplitude show that alternating-direction temporal flow exists in the eastern zone of Lake Taihu with averages of −13.0, −0.6, and 3.4 mm day−1 (negative represents discharging into the lake) at three nearshore sites (0.5, 2.0, and 6.0 km away from the shoreline, respectively). Whereas downwelling flow occurred throughout almost the entire year with averages of 37.7, 23.5, and 6.6 mm day−1 at the three southern nearshore sites, respectively. However, upwelling flow occurred throughout almost the entire year and varied widely in the western zone with averages of −74.8, 45.9, and −27.0 mm day–1 and in the northern zone with averages of −76.2, −55.3, and −51.1 mm day−1. The estimated fluxes in the central zone were relatively low and varied slightly during the entire year (−15.1 to 22.5 mm day−1 with an average of −0.7 mm day−1). Compared with the sub sensor pair (at 5 and 10 cm), the estimated hyporheic fluxes based on the top sensor pair (at 0 and 5 cm) varied within wider ranges and exhibited relatively larger values. Effects of upwelling flow at the western and northern zones need to be paid attention to on nearshore water quality particularly during winter and spring seasons. Estimated flow patterns at the four zones summarily reflect the seasonal water interaction near the sediment surface of Lake Taihu and are beneficial to improve its comprehensive management. Thermal dispersivity usually used for estimating the thermal diffusivity is more sensitive for upward hyporheic flux estimating even if with a low flux. Temperature amplitude ratio method can be used to estimate the exchange flux and suitable for low flux conditions (either upwelling or downwelling). A better evaluation of the exchange flux near inclined nearshore zones might need an optimized installation of temperature sensors along with the potential flow path and/or a vertical two-dimensional model in the future.
Development of Water Pipelines Energy Harvesting System

Previously, the threats of negative effects caused from burning process of the fossil fuels is somewhat alarming which it may lead to acid rain, increasing greenhouse emissions and global warming. Based on the highlighted issue, this study aims to develop a system where the input power came from water pipes energy harvesting system. Water pipes harvesting system will be designed using polyvinyl chloride pipes and water turbines, to transform kinetic energy of a water flow into electrical energy and the energy performance will be monitored in a web-server using Arduino and ESP8266 Wi-Fi module as its processing centre. This research studies the feasibility of harvesting some energy from pipeline vibrations, and it is also observed that harvestable energy varies with harvesting location across a pipeline network as well as the pipe flow rate in the water-air and kinetic energy in the water pressure fluctuation. The water pipelines energy harvesting systems are modelled and then analyzed by using simulated data and real data using Arduino. Turbine generator are mounted on the pipeline surface at different locations to simultaneously collect vibrations-induced energy data from water pumping. The water flow rate energy harvester system and the water pressure fluctuation introduced in this research may be able to generate up to 6.8 mW’s power. The output produced from the energy harvesting system is expected to be enough to light up a 3.8 V direct current light emitting diode bulb.
Correlation between landscape structure and distribution of Javan Pangolin (Manis javanica) in an extreme landscape

Abstract. Withaningsih S, Parikesit, Nasrudin A. 2021. Correlation between landscape structure and distribution of Javan Pangolin (Manis javanica) in an extreme landscape. Biodiversitas 22: 920-932. The Javan Pangolin (Manis javanica) is a unique mammal with hard scales and can roll over when threatened. However, the study of Javan pangolin ecology, particularly using an ecological landscape approach, is limited. Here, a spatial analysis of the presence and distribution of Javan pangolins living in an extreme landscape in Rongga Sub-district, West Bandung District was conducted and was correlated to the landscape structure using a landscape metric approach. A descriptive method was used in conjunction with quantitative statistical analyses using simple linear regressions based on the Pearson correlation coefficient. The variables were features of the extreme landscape structure and the number of Javan pangolin animal signs at the sampling sites. The seven sample sites had variations in land cover classes, and the landscape structure affected the distribution of the Javan pangolins. The pangolin distribution showed a strong, negative correlation with the number of patch types (R2 = 0.628) and a weak, negative correlation with both the landscape heterogeneity (R2 = 0.012) and the percentage of forest cover (R2 = 0.136). Together, the landscape heterogeneity, the number of patch types and the percentage of forest cover negatively affected the distribution of Javan pangolins, showing a strong correlation (R2 = 0.799).
Spillover in the context of forced behaviour change: observations from a naturalistic time-series study

ABSTRACT The paper investigates spillover in the pro-environmental context of Australian consumers’ transition to using reusable bags, and explores its implications for other related environmental behaviours. This study uses a natural time-series design (pre, during and post change measures) to examine a real-world instance of a forced behaviour change incorporating changes in people’s grocery shopping habits and possible subsequent behaviours. The study examines attitudes and behaviours including spillover, environmental lifestyle and moral licencing before (n = 200), during (n = 342) and after (n = 346) the phase out of single-use plastic bags. The definition, operationalisation, and measurement of spillover are also explored. Despite conflicting evidence from previous research, our findings suggest that a forced behaviour change can incidentally result in changes in subsequent related behaviours.
Southern Ocean latitudinal gradients of Cloud Condensation Nuclei

Abstract. The Southern Ocean region is one of the most pristine in the world, and serves as an important proxy for the pre-industrial atmosphere. Improving our understanding of the natural processes in this region are likely to result in the largest reductions in the uncertainty of climate and earth system models. While remoteness from anthropogenic and continental sources is responsible for its clean atmosphere, this also results in the dearth of atmospheric observations in the region. Here we present a statistical summary of the latitudinal gradient of aerosol and cloud condensation nuclei concentrations obtained from five voyages spanning the Southern Ocean between Australia and Antarctica from late-spring to early autumn (October to March) of the 2017/18 austral seasons. Three main regions of influence were identified: the northern sector (40–45° S) where continental and anthropogenic sources added to the background marine aerosol populations; the mid-latitude sector (45–65° S), where the aerosol populations reflected a mixture of biogenic and sea-salt aerosol; and the southern sector (65–70° S), south of the atmospheric Polar Front, where sea-salt aerosol concentrations were greatly reduced and aerosol populations were primarily biologically-derived sulfur species with a significant history in the Antarctic free-troposphere. The northern sector showed the highest number concentrations with median (25th to 75th percentiles) CN10 and CCN0:5 concentrations of (388–839) cm−3 and 322 (105–443) cm−3, respectively. Concentrations in the mid-latitudes were typically around 350 cm−3 and 160 cm−3 for CN10 and CCN0:5, respectively. In the southern sector, concentrations rose markedly, reaching 447 (298–446) cm−3 and 232 (186–271) cm−3 for CN10 and CCN0:5, respectively. The aerosol composition in this sector was marked by a distinct drop in sea-salt and increase in both sulfate fraction and absolute concentrations, resulting in a substantially higher CCN0:5 / CN10 activation ratio of 0.8 compared to around 0.4 for mid-latitudes. Long-term measurements at land-based research stations surrounding the Southern Ocean were found to be good representations at their respective latitudes i.e. CCN observations at Cape Grim (40°39'S) corresponded with CCN measurements from northern and mid-latitude sectors, while CN10 observations only corresponded with observations from the northern sector. Measurements from a simultaneous two year campaign at Macquarie Island (54°30'S) were found to represent all aerosol species well. The southern-most latitudes differed significantly from either of these stations and previous work suggests that Antarctic stations on the East Antarctic coastline do not represent the East Antarctic sea-ice latitudes well. Further measurements are needed to capture the long-term, seasonal and longitudinal variability in aerosol processes across the Southern Ocean.
Status of Life Cycle Assessment (LCA) in Africa

Life cycle assessment (LCA) has received attention as a tool to evaluate the environmental impacts of products and services. In the last 20 years, research on the topic has increased, and now more than 25,000 articles are related to LCA in scientific journals databases such as the Scopus database; however, the concept is relatively new in Africa, where the number of networks has been highlighted to be very low when compared to the other regions. This paper focuses on a review of life cycle assessments conducted in Africa over the last 20 years. It aims at highlighting the current research gap for African LCA. A total of 199 papers were found for the whole continent; this number is lower than that for both Japan and Germany (more than 400 articles each) and nearly equal to developing countries such as Thailand. Agriculture is the sector which received the most attention, representing 53 articles, followed by electricity and energy (60 articles for the two sectors). South Africa (43), Egypt (23), and Tunisia (19) were the countries where most of the research was conducted. Even if the number of articles related to LCA have increased in recent years, many steps still remain. For example, establishing a specific life cycle inventory (LCI) database for African countries or a targeted ideal life cycle impact assessment (LCIA) method. Several African key sectors could also be assessed further.
CONCEPTUAL MODEL FOR SME DIGITAL TRANSFORMATION DURING THE COVID-19 PANDEMIC TIME IN INDONESIA: R-DIGITAL TRANSFORMATION MODEL

Digital transformation is one that has been accelerated in response to the COVID-19 pandemic that has hit the world since the end of 2019. As a sector that has proven reliable in facing the SME crisis, it is encouraged to accelerate its digital transformation process due to the distance limitation policy imposed during the pandemic. This article aims to assess the importance of understanding the right digital transformation model for each SME, especially in taking advantage of the accelerated momentum due to the social restriction policies imposed during the COVID-19 pandemic, because choosing the right model will provide a better probability of successful transformation. This research is qualitative research through content analysis to produce a theoretical model construction of the digital transformation model for SMEs in Indonesia which we call the reasonable digital transformation model for SME (R-DT for SME). The conclusion obtained is that based on the mapping of the digital transformation of SMEs in Indonesia on the R-DT model, it can be concluded that: (1) The main trigger for DT UKM is the external driver, not many internal drivers have been found, especially during the COVID-19 pandemic. what is done is still reactive in nature and tends to only follow the steps of the transformation of other actors so as not to create a uniqueness of the said SMEs which will result in the loss of opportunities to have a competitive advantage over competitors; (2) In general, the implementers of DT UKM have set a strategic imperative for their decision to carry out digital transformation, but have not set a measurable milestones so that the digital transformation carried out cannot be measured the level of success; (3) DT which is done in general is to change some of the company's operations to digital, this shows the low digital maturity of SMEs in Indonesia today.
The Role of Task-Essential Training and Working Memory in Offline and Online Morphological Processing

This study investigates the effects of task-essential training on offline and online processing of verbal morphology and explores how working memory (WM) modulates the effects of training. We compare a no-training control group to two training groups who completed a multisession task-essential training focused on Spanish verbal inflections related to person–number agreement and tense. Effects of training were evaluated using an offline aural interpretation task and an online self-paced reading (SPR) assessment, administered as a pretest, posttest, and delayed posttest. Results showed that training led to more accurate interpretation of both person-number and tense information in the offline interpretation test. While higher WM was associated generally with greater accuracy, higher WM did not lead to greater gains from training. The SPR results showed that training did not increase sensitivity to subject–verb agreement or adverb–verb tense violations. However, among participants who underwent training, WM enhanced sensitivity under some conditions. These results demonstrate a role for individual differences in WM for offline and online processing, and they suggest that while task-essential training has been shown repeatedly to improve offline processing of target forms, its effects on online processing of redundant verbal morphology are more limited. Implications for L2 learning are discussed.
Toward an Evaluation of Cultural Ecosystem Services Delivered by Urban Micro-Farms

Since two decades, urban agriculture has been booming and a wide range of forms, from urban allotment gardens to rooftop farming under greenhouse, is developing. Various benefits are recognized for urban agriculture integration within the city and a specific consideration is dedicated to ecosystem services. In this article, we have focused on cultural ecosystem services provided by urban micro-farms. The state of the art reveals that urban agriculture delivers cultural ecosystem services that are well perceived and evaluated by users, but there are still few studies on this topic. Based on the analysis of specific literature on cultural ecosystems and micro-farms in parallel to a period of observation and documentary research of five urban micro-farms either on rooftop or at soil level, located in Paris and its surroundings, we proposed a specific methodology. This methodology aimed at quantitative and qualitative evaluation of the cultural ecosystem services provided by urban micro-farms and is based on a framework, which distinguishes exogenous and endogenous cultural ecosystem services.
Using Integrated Hydrological Models to Assess the Impacts of Climate Change on Discharges and Extreme Flood Events in the Upper Yangtze River Basin

Amongst the impacts of climate change, those arising from extreme hydrological events are expected to cause the greatest impacts. To assess the changes in temperature and precipitation and their impacts on the discharge in the upper Yangtze Basin from pre-industrial to the end of 21st century, four hydrological models were integrated with four global climate models. Results indicated that mean discharge was simulated to increase slightly for all hydrological models forced by all global climate models during 1771–1800 and 1871–1900 relative to the 1971–2000 reference period, whereas the change directions in mean discharge were not consistent among the four global climate models during 2070–2099, with increases from HadGEM2-ES and MIROC5, and decreases from GFDL-ESM2M and IPSL-CM5A-LR. Additionally, our results indicated that decreases in precipitation may always result in the decrease in mean discharge, but increases in precipitation did not always lead to increases in discharge due to high temperature rise. The changes in extreme flood events with different return intervals were also explored. These extreme events were projected to become more intense and frequent in the future, which could have potential devastating impacts on the society and ecosystem in this region.
Unmixing Mineral Abundance and Mg# With Radiative Transfer Theory: Modeling and Applications

Mineral abundance and Mg# (100× molar Mg/(Mg + Fe)) are significant in understanding the crustal composition and thermal history of the Moon. In this study, we derive a new set of optical constants for olivine, orthopyroxene, and clinopyroxene using radiative transfer equations that include soil porosity and the opposition effect. Based on the new optical constants, we develop a mineral abundance and Mg# unmixing model, and build a spectral library composed of mineral mixtures of plagioclase, olivine, low‐Ca pyroxene (LCP) and high‐Ca pyroxene (HCP), and Mg# ranging within 40–90. The accuracy of this model in estimating mineral abundance and chemistry is better than 3 vol% for olivine, LCP and HCP, better than 6 vol% for plagioclase, and better than 10 for Mg#. This model is validated using forward and inverse modeling. For the forward modeling, we reproduce the spectra of powdered pure minerals and Lunar Sample Characterization Consortium (LSCC) lunar soils, and the modeled spectra are consistent with those measured in the laboratory. For the inverse modeling, we determined mineral abundances and Mg# of 19 LSCC soil spectra by searching the best match to the spectral library. The modeled mineral abundances of LSCC soils are consistent with those measured by X‐ray digital imaging. We derived a global Mg# map using our model and Moon Mineralogy Mapper images, and our Mg# map shows a peak concentration at 70, consistent with that measured by the Lunar Prospector gamma‐ray spectrometer.