Alternative Indicators Research Articles

How does baseline anthropometry affect anthropometric outcomes in children receiving treatment for severe acute malnutrition? A secondary analysis of a randomized controlled trial.

Mid‐upper arm circumference (MUAC) < 11.5 cm and weight‐for‐height Z‐score (WHZ) < −3 are used for screening for severe acute malnutrition (SAM). Underweight and concurrent wasting and stunting may better target those at the highest risk of mortality. We compared anthropometric outcomes in children enrolled in a trial of antibiotics for SAM based on categories of baseline anthropometry, including indicators for programme admission (WHZ < −3, MUAC < 11.5) and alternative indicators (weight‐for‐age Z‐score [WAZ] < −3, concurrent wasting and stunting [WHZ < −3 and height‐for‐age Z‐score < −3]). Participants were followed weekly until nutritional recovery and at 8 weeks. We evaluated changes in weight gain (g/kg/day), MUAC, and WHZ in children admitted by admissions criteria (MUAC only, WHZ only, or MUAC and WHZ) and by underweight or concurrent wasting and stunting. Of 301 admitted children, 100 (33%) were admitted based on MUAC only, 41 (14%) WHZ only, and 160 (53%) both MUAC and WHZ, 210 (68%) were underweight and 67 (22%) were concurrently wasted/stunted. Low MUAC and low WHZ children had the lowest probability of nutritional recovery (17% vs. 50% for MUAC‐only and 34% for WHZ‐only). There was no difference in weight gain velocity or WHZ by admissions criteria (WHZ and/or MUAC). Underweight and concurrently wasted/stunted children had lower MUAC and WHZ at 8 weeks compared with those who were not underweight or concurrently wasted and stunted. Children with both low MUAC and low WHZ had the worst outcomes. Relying on MUAC alone may miss children who have poor outcomes. Other indicators, such as WAZ, may be useful for identifying vulnerable children.

Quantification of human enteric viruses as alternative indicators of fecal pollution to evaluate wastewater treatment processes.

We investigated the potential use and quantification of human enteric viruses in municipal wastewater samples of Winnipeg (Manitoba, Canada) as alternative indicators of contamination and evaluated the processing stages of the wastewater treatment plant. During the fall 2019 and winter 2020 seasons, samples of raw sewage, activated sludge, effluents, and biosolids (sludge cake) were collected from the North End Sewage Treatment Plant (NESTP), which is the largest wastewater treatment plant in the City of Winnipeg. DNA (Adenovirus and crAssphage) and RNA enteric viruses (Pepper mild mottle virus, Norovirus genogroups GI and GII, Rotavirus Astrovirus, and Sapovirus) as well as the uidA gene found in Escherichia coli were targeted in the samples collected from the NESTP. Total nucleic acids from each wastewater treatment sample were extracted using a commercial spin-column kit. Enteric viruses were quantified in the extracted samples via quantitative PCR using TaqMan assays. Overall, the average gene copies assessed in the raw sewage were not significantly different (p-values ranged between 0.1023 and 0.9921) than the average gene copies assessed in the effluents for DNA and RNA viruses and uidA in terms of both volume and biomass. A significant reduction (p-value ≤ 0.0438) of Adenovirus and Noroviruses genogroups GI and GII was observed in activated sludge samples compared with those for raw sewage per volume. Higher GCNs of enteric viruses were observed in dewatered sludge samples compared to liquid samples in terms of volume (g of sample) and biomass (ng of nucleic acids). Enteric viruses found in gene copy numbers were at least one order of magnitude higher than the E. coli marker uidA, indicating that enteric viruses may survive the wastewater treatment process and viral-like particles are being released into the aquatic environment. Viruses such as Noroviruses genogroups GI and GII, and Rotavirus were detected during colder months. Our results suggest that Adenovirus, crAssphage, and Pepper mild mottle virus can be used confidently as complementary viral indicators of human fecal pollution.

Human capital in Chile: The development of numeracy during the last 250 years

ABSTRACT This paper studies the evolution of numeracy in Chile for cohorts born from the 1780s to the 1970s, providing a new series of this important indicator of human capital, essential to promote economic growth. This is the longest series currently available of any human capital indicator for Chile. It shows that numeracy was very low until the early twentieth century but that, contrary to traditional interpretations, it increased gradually from the 1780s (well before the promulgation of the primary instruction law of 1860), until full basic numeracy skills were achieved by the mid-twentieth century. This transition was completed some 3–4 decades after parallel developments occurred in the leading countries of the region and some 120 years behind the most developed areas of Europe. This development was characterized by high gender numeracy inequality until the first decades of the twentieth century, as well as by a pronounced regional inequality. However, there was a quick process of convergence across provinces, completed at the same time as gender inequality was reduced. Our numeracy data is also consistent with alternative human capital indicators such as literacy and schooling, and we provide a set of explanations about why they all improved, and their timing.

Does macroprudential policy alleviate the adverse impact of COVID-19 on the resilience of banks?

This paper examines the resilience of banks as perceived by market participants during the COVID-19 crisis. We analyse how bank stock returns during January–March 2020 relate to the pre-crisis activation of macroprudential policy across 52 countries in a cross-sectional dimension. We find that, overall, a tighter macroprudential policy stance is beneficial for bank systemic risk, as assessed by equity market investors. A robust finding is that a perceived decrease in bank risk stems primarily from the use of credit growth limits, reserve requirements, and dynamic provisioning. By contrast, a pre-crisis build-up of capital surcharges on systemically important financial institutions seems to lower bank stock returns. Alternative bank risk indicators suggest that the latter is likely to be driven by concerns about profits rather than the probability of default.

Toward a Robust, Impact‐Based, Predictive Drought Metric

AbstractThis work presents a new approach to defining drought by establishing an empirical relationship between historical droughts (and wet spells) documented in impact reports, and a broad range of observed climate features using Random Forest (RF) models. The new drought indicator quantifies the conditional probability of drought, considering multiple drought‐related climate features and their interactive effects, and can be used for forecasting with up to 3‐month lead time. The approach was tested out‐of‐sample across several random selections of training and testing datasets, and demonstrated better predictive capabilities than commonly used drought indicators (e.g., Standardised Precipitation Index and Evaporative Demand Drought Index) in a range of performance metrics. Furthermore, it showed comparable performance to the (expert elicitation‐based) US Drought Monitor (USDM), the current state‐of‐the‐art record of historical drought in the USA. As well as providing an alternative historical drought indicator to USDM, the RF approach offers additional advantages by being automated, by providing drought information at the grid‐scale, and by having forecasting capacity. While traditional drought metrics define drought as extreme anomalies in drought‐related variables, the approach presented here reveals the full suite of circumstances that lead to impactful droughts. We highlight several combinations of climate features—such as precipitation, potential evapotranspiration, soil moisture and change in water storage—that led to drought events not detected by commonly used drought metrics. The new RF drought indicator combines meteorological, hydrological, agricultural, and socioeconomic drought, providing drought information for all impacted sectors. As a proof‐of‐concept, the RF drought indicator was trained on Texan climate data and droughts.

Customer Loyalty as Measure of Competitiveness

Years after the publication of our work on the analysis of customer loyalty concepts (Montinaro &amp;amp; Sciascia, 2011), I still dwell on these aspects, taking up a paper that we did not publish in those years and which attempted to describe an application example of integration.&#x0D; &#x0D; Market share and relative price are two indicators that businesses often use to measure their market success. In this study we propose to consider an alternative and innovative indicator of innovation success that takes into account the views of clients, true protagonists of the purchase decision making. Customer loyalty is the construct measured in this work that join customer satisfaction and market segmentation. We propose a generalized model where the customer loyalty is a function of customer satisfaction relieved in time and a more complex smoothing model that introduces in the function the influence of the market segmentation adopted by the company. On a simulated dataset are then calculated values of customer loyalty comparing it with a worst case and best case scenarios.

Effects of Apple Vinegar Addition on Aerobic Deterioration of Fermented High Moisture Maize Using Infrared Thermography as an Indicator.

This study was carried out to determine the effects of apple vinegar and sodium diacetate addition on the aerobic stability of fermented high moisture maize grain (HMM) silage after opening. In the study, the effect of three different levels (0%, 0.5% and 1%) of apple vinegar (AV) and sodium diacetate (SDA) supplementation to fermented HMM at two different storage conditions (27–29 °C, 48% Humidity; 35–37 °C, 26% Humidity) were investigated. The material of the study was fermented rolled maize grain with 62% moisture content stored for about 120 days. Silage samples were subjected to aerobic stability test with three replicates for each treatment group. Wendee and microbiological analyses were made at 0, 2, 4, 7, and 12 days. Meanwhile, samples were displayed in the T200 IR brand thermal camera. According to the thermogram results, 1% SDA addition positively affected HMM silages at the second and fourth days of aerobic stability at both storage conditions (p < 0.05). Aerobic stability and infrared thermography analysis indicated that 1% AV, 0.5%, and 1% SDA additions to HMM silages had promising effects. Due to our results, we concluded that thermal camera images might be used as an alternative quality indicator for silages in laboratory conditions.

Thermal stability and parameter validity of hopane series in mature shales – A case study from Dongying Depression, eastern China

Molecular compositions extracted from source rocks offer direct indicator of the organic matter input, depositional redox conditions and thermal maturity levels that source rock has experienced, however, the application of such technique commonly encounters difficulty in highly mature system. A suite of twenty-eight organic-rich lacustrine shale samples from the Eocene Shahejie Formation in the Dongying Depression, East China were geochemically investigated, aiming to obtain a comprehensive thermal stability sequence of hopanes and the validity of various molecular parameters. By means of systematic comparisons on compound ratios and concentrations, the thermal stability of hopanes is presented as follows: [C35 hopane (H) < (C33H, C32H) < C34H < C30H < C31H < C29H < 17α(H)-22,29,30-trisnorhopane (Tm) < 18α (H)-30-norneohopane (C29Ts) < C30 diahopane (D) < 18α(H)-22,29,30-trisnorneohopane (Ts), from the least stable to the most stable]. Limited validity of the paleoenvironment and organic matter input parameters such as C35H/C34H and C31 22R/C30H ratios in mature source rocks is caused by the preferential decomposition of C35H and C30H compounds during thermal maturation. Therefore, application of molecular parameters derived from hopanes need to be exercised with extra caution. Their validity varies with maturity levels and most hopane related parameters will lose their effectiveness at peak oil generation stage. Meanwhile, a novel maturity parameter (Ts/C29Ts ratio) derived from thermal stability difference of hopanes was proposed herein, supported by strong correlations with vitrinite reflectance and other two reliable maturity parameters. Upon further calibration, this novel maturity parameter can be deemed as a reliably alternative indicator and is expected to have wide application in highly mature source-rock/oil maturity assessment, especially for the shale oil system. The findings of this study may help for better understanding of limited validities of molecular indicators during thermal evolution.

Bacterial Indicators Are Ubiquitous Members of Pelagic Microbiome in Anthropogenically Impacted Coastal Ecosystem.

Coastal zones are exposed to various anthropogenic impacts, such as different types of wastewater pollution, e.g., treated wastewater discharges, leakage from sewage systems, and agricultural and urban runoff. These various inputs can introduce allochthonous organic matter and microbes, including pathogens, into the coastal marine environment. The presence of fecal bacterial indicators in the coastal environment is usually monitored using traditional culture-based methods that, however, fail to detect their uncultured representatives. We have conducted a year-around in situ survey of the pelagic microbiome of the dynamic coastal ecosystem, subjected to different anthropogenic pressures to depict the seasonal and spatial dynamics of traditional and alternative fecal bacterial indicators. To provide an insight into the environmental conditions under which bacterial indicators thrive, a suite of environmental factors and bacterial community dynamics were analyzed concurrently. Analyses of 16S rRNA amplicon sequences revealed that the coastal microbiome was primarily structured by seasonal changes regardless of the distance from the wastewater pollution sources. On the other hand, fecal bacterial indicators were not affected by seasons and accounted for up to 34% of the sequence proportion for a given sample. Even more so, traditional fecal indicator bacteria (Enterobacteriaceae) and alternative wastewater-associated bacteria (Lachnospiraceae, Ruminococcaceae, Arcobacteraceae, Pseudomonadaceae and Vibrionaceae) were part of the core coastal microbiome, i.e., present at all sampling stations. Microbial source tracking and Lagrangian particle tracking, which we employed to assess the potential pollution source, revealed the importance of riverine water as a vector for transmission of allochthonous microbes into the marine system. Further phylogenetic analysis showed that the Arcobacteraceae in our data set was affiliated with the pathogenic Arcobacter cryaerophilus, suggesting that a potential exposure risk for bacterial pathogens in anthropogenically impacted coastal zones remains. We emphasize that molecular analyses combined with statistical and oceanographic models may provide new insights for environmental health assessment and reveal the potential source and presence of microbial indicators, which are otherwise overlooked by a cultivation approach.

Bacteroides Microbial Source Tracking Markers Perform Poorly in Predicting Enterobacteriaceae and Enteric Pathogen Contamination of Cow Milk Products and Milk-Containing Infant Food.

Consumption of microbiologically contaminated food is one of the leading causes of diarrheal diseases. Understanding the source of enteric pathogens in food is important to guide effective interventions. Enterobacteriaceae bacterial assays typically used to assess food safety do not shed light on the source. Source-specific Bacteroides microbial source tracking (MST) markers have been proposed as alternative indicators for water fecal contamination assessment but have not been evaluated as an alternative fecal indicator in animal-derived foods. This study tested various milk products collected from vendors in urban Kenyan communities and infant foods made with the milk (n = 394 pairs) using conventional culture methods and TaqMan qPCR for enteric pathogens and human and bovine-sourced MST markers. Detection profiles of various enteric pathogens and Bacteroides MST markers in milk products differed from that of milk-containing infant foods. MST markers were more frequently detected in infant food prepared by caregivers, indicating recent contamination events were more likely to occur during food preparation at home. However, Bacteroides MST markers had lower sensitivity in detecting enteric pathogens in food than traditional Enterobacteriaceae indicators. Bacteroides MST markers tested in this study were not associated with the detection of culturable Salmonella enterica and Shigella sonnei in milk products or milk-containing infant food. The findings show that while Bacteroides MST markers could provide valuable information about how foods become contaminated, they may not be suitable for predicting the origin of the enteric pathogen contamination sources.

Early warning for critical transitions using machine-based predictability

&lt;abstract&gt;&lt;p&gt;Detecting critical transitions before they occur is challenging, especially for complex dynamical systems. While some early-warning indicators have been suggested to capture the phenomenon of slowing down in the system's response near critical transitions, their applicability to real systems is yet limited. In this paper, we propose the concept of predictability based on machine learning methods, which leads to an alternative early-warning indicator. The predictability metric takes a black-box approach and assesses the impact of uncertainties itself in identifying abrupt transitions in time series. We have applied the proposed metric to the time series generated from different systems, including an ecological model and an electric power system. We show that the predictability changes noticeably before critical transitions occur, while other general indicators such as variance and autocorrelation fail to make any notable signals.&lt;/p&gt;&lt;/abstract&gt;

Historical records for the brine levels of Dingbian salt lakes (northern Shaanxi Province) and climatic implications, 1265-1949

受自然环境和资料限制的原因，中国西北的季风边缘区内的湖泊千-百年时间尺度演变序列重建工作存在不足.历史文献中的湖泊演变信息丰富，有效利用可较好地解决这一问题.本文通过梳理历史文献记录的定边盐湖采盐方式资料，反演历史时期定边盐湖卤水水位，重建公元1265-1949年陕北定边盐湖卤水水位演变序列，该序列较好地指示出公元1265-1949年间定边盐湖所处区域的气候干湿变化状况.重建结果显示，定边盐湖所处区域在公元1265-1949年间存在2个湿润期和3个干旱期，影响该区域气候干湿变化的主要原因为东亚夏季风的强弱变化.本文研究证明历史文献中的湖泊演变信息是一类科学的自然代用指标，其便于收集、物理逻辑清晰，但时间分辨率稍显不足，若能与传统湖泊沉积资料有效结合，具有更广阔的研究前景.;Due to the limitation of physical environment and data, the reconstruction of lake evolution at thousand/hundred year scales in the monsoon marginal zone of northwestern China has remains insufficient. The lake evolution information in historical documents is abundant, which can help better understand this issue. This paper combs the salt mining method data of Dingbian salt lakes recorded in historical documents, inverts the brine level of Dingbian salt lakes in the historical period, and reconstructs the evolution sequence of the brine level of Dingbian salt lakes in northern Shaanxi Province from 1265 A.D. to 1949 A.D.. We suggest that this sequence is a good indication of the climate change in the area from 1265 A.D. to 1949 A.D.. The reconstruction results show that there were two humid periods and three drought periods in the area over 1265-1949 A.D.. The main reason for the climage changes in this area was the intensity variation of the East Asian summer monsoon. Our research proves that the salt lake evolution information in historical literature is a kind of alternative indicator. It is easily available and has clear physical logic, but the time resolution is slightly ambiguous. Being combine with traditional lake sedimentation data, it will have a much broader study prospect.

O índice de imediatez de artigos em coautoria é maior do que o de um único autor?

Abstract The study extends the conversation on the effect that co-authorship has on the citation impact of papers by analyzing the short-term advantage of co-authored papers. The results suggest that co-authored papers have a higher short-term impact than single-authored ones in all scientific domains. The study adds insights on the use of the immediacy index as an alternative indicator to evaluate the short-term competitive advantage of co-authored papers concerning the number of citations they attract. Furthermore, the study shows the efficacy of the immediacy index in comparing the short-term impact of different groups.

Development of Japanese Cancer Intelligence Quotient to Measure Cancer Literacy and Knowledge among Japanese Laypersons.

Health literacy has been identified an essential factor in leading a healthy lifestyle. Because some cancer prevention and screening methods have been established, we believe that identifying disadvantaged populations with low literacy regarding cancer is crucial. Thus, in this study, we aim to create a self-administered cancer-specific health literacy scale to be administered to Japanese laypersons. Using definitions from previous studies, we constructed a scale named the Japanese Cancer Intelligence Quotient (JCIQ) for both literacy (JCIQ-L) and knowledge (JCIQ-K) aspects. We generated potential items for both aspects, extracted appropriate ones using two-step online surveys, and compared the JCIQ and cancer-preventive behaviors and cancer-screening intentions, both of which we set as alternative indicators of the right attitude and practice toward cancer by performing a multiple regression analysis from another web survey. Between April and May 2020, we conducted three-step surveys online. After conducting the two-step surveys for thousands of people, we extracted 12 literacy questions and 22 knowledge questions using factor analysis and the correct answer ratio of every item. In the final investigation of 3,094 people, a multiple regression analysis found that the JCIQ-L and JCIQ-K were significant factors in terms of predicting both behaviors (JCIQ-L:β = 0.07, p < 0.001, JCIQ-K:β = 0.05, p < 0.01) and willingness (JCIQ-L:β = 0.04, p < 0.05, JCIQ-K:β = 0.17, p < 0.001) after adjusting for participant characteristics (e.g., gender, age, income level, employment status). We developed the first reliable scale for measuring cancer literacy and knowledge of Japanese laypersons.

Pulmonary-cardiac hemodynamics in patients with major surgical interventions on the lungs according to the data of doppler echocardiography

ntroduction. The choice of the optimal scope of inter-ventions for major operations on the lungs, including re-constructive plastic surgery, combined pneumonectomy, depends, among other things, on the degree of decrease in the functional reserves of the cardiovascular system. The study aims the evaluation of the functional state of the right ventricle (RV) of the heart, the level of secondary pulmonary hypertension before and after major surgical interventions on the lungs. Materials and methods. The study included 32 patients aged 41 to 74 years (29 men and 3 women) who underwent pneumonectomy with circular resection of the tracheal bifurcation and various types of combined pneumonectomy. The control group consisted of 37 practically healthy individuals aged 23 to 59 years (17 men and 20 women). Doppler echocardio-graphy was used to study the parameters of the pulmo-nary circulation (before and 3–5 days after the operation). Results. As possible alternative indicators characterizing the state of the pumping function of theRV, it is possible to recommend the use of the systolic shortening fraction (SSF) of theRV, the amplitude of movement of the tricuspid valve ring and the end-diastolic size of theRV. Decreased SSF of the RV below 0,2, amplitude of movement of the tricuspid valve ring less than 1,6 cm, and dilatation of the RV over 3.5 cm in diastole may indicate a pronounced de-crease in the contractile function of the RV. Conclusion.In patients with initially impaired hemodynamics, func-tional changes after surgical interventions were more pronounced. The boundaries of the shift of the main ultra-sound parameters of the right ventricular function were determined to form a group of increased prognostic risk

Mathematical Modeling of the Bulk Density Property of Knitted Fabrics

The paper focuses on the prediction of the volumetric density property of knitting fabrics using mathematical modeling. Based on the graphical analysis of the obtained mathematical models, the results of the raw material properties for the futer knitted fabric on the values of alternative indicators are presented.

Robotizing bond portfolio selection on the Russian debt market on the basis of a modified strategy of riding the yield curve

The modern global debt market features historically low average interest rates, convergence of yields on bonds with different maturities, an increase of yield curve inversion emergence frequency and a large-scale trend to automate financial decision making. The researchers’ attention in these fields is mainly focused on designing models that describe the state of the debt market as whole or its individual instruments in particular, as well as on risk management methods. At the same time, the specialized literature offers very few works concerning the topic of computer algorithms for bond portfolio selection based on traditional or advanced investment strategies. The aim of the present research is to create a modification of the existing algorithm of riding the yield curve strategy application, employing, first, average bond yield over the holding period instead of traditional bond yield to maturity; second, a developed algorithm for calculating the market spread on bonds; and, third, alternative risk evaluation indicators (compensation coefficients), which allow us to measure objectively price risk, liquidity risk, transaction costs risk and a general risk. The modification and the development of the algorithm for calculating the market spread were carried out using the direct measurement of the result technique, which entails application of the strategy to the data on bond issues received through the Moscow Exchange API. The selection of financial instruments was conducted in all sectors of the Russian debt market: public bonds, sub-federal and municipal bonds, corporate bonds. The modified algorithm enabled us to get extra yield for each selected bond issue, thereby proving the high effectiveness of the technique compared to the traditional strategy. Software implementation of the algorithm can be integrated into any robotized or semi-robotized stock exchange trading application.

Estimating Dietary Intake from Grocery Shopping Data-A Comparative Validation of Relevant Indicators in Switzerland.

In light of the globally increasing prevalence of diet-related chronic diseases, new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards hereby promise to serve as an objective and automatically traceable digital marker for individual food choice behavior and do not require users to manually log individual meal items. With the introduction of the General Data Privacy Regulation in the European Union, millions of consumers gained the right to access their shopping data in a machine-readable form, representing a historic chance to leverage shopping data for scalable monitoring of food choices. Multiple quantitative indicators for evaluating the nutritional quality of food shopping have been suggested, but so far, no comparison has validated the potential of these alternative indicators within a comparative setting. This manuscript thus represents the first study to compare the calibration capacity and to validate the discrimination potential of previously suggested food shopping quality indicators for the nutritional quality of shopped groceries, including the Food Standards Agency Nutrient Profiling System Dietary Index (FSA-NPS DI), Grocery Purchase Quality Index-2016 (GPQI), Healthy Eating Index-2015 (HEI-2015), Healthy Trolley Index (HETI) and Healthy Purchase Index (HPI), checking if any of them performs differently from the others. The hypothesis is that some food shopping quality indicators outperform the others in calibrating and discriminating individual actual dietary intake. To assess the indicators’ potentials, 89 eligible participants completed a validated food frequency questionnaire (FFQ) and donated their digital receipts from the loyalty card programs of the two leading Swiss grocery retailers, which represent 70% of the national grocery market. Compared to absolute food and nutrient intake, correlations between density-based relative food and nutrient intake and food shopping data are stronger. The FSA-NPS DI has the best calibration and discrimination performance in classifying participants’ consumption of nutrients and food groups, and seems to be a superior indicator to estimate nutritional quality of a user’s diet based on digital receipts from grocery shopping in Switzerland.

Market power and artificial intelligence work on online labour markets

We investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe: (1) the elasticity of labour demand, (2) the elasticity of labour supply, and (3) the concentration of market shares. We explore how these indicators relate to an exogenous change in platform policy. In the middle of the observation period, the platform made it mandatory for employers to signal the rates they were willing to pay as given by the level of experience required to perform a project, i.e., entry, intermediate or expert level. We find a positive labour supply elasticity ranging between 0.06 and 0.15, which is higher for expert-level projects. We also find that the labour demand elasticity increased while the labour supply elasticity decreased after the policy change. Based on this, we argue that market-designing platform providers can influence the labour demand and supply elasticities on OLMs with the terms and conditions they set for the platform. We also explore the demand for and supply of AI-related labour on the OLM under study. We provide evidence for a significantly higher demand for AI-related labour (ranging from +1.4% to +4.1%) and a significantly lower supply of AI-related labour (ranging from -6.8% to -1.6%) than for other types of labour. We also find that workers on AI projects receive 3.0%-3.2% higher wages than workers on non-AI projects.

The Potential of Clitoria ternatea L. Extracts as an Alternative Indicator in Acid-Base Titration

Experiments are an important part of the chemistry curriculum. An indicator in the form of a synthesis indicator is commonly used in acid-base materials experiments. The usage of synthetic indicators can result in waste that is both environmentally harmful and costly. The butterfly pea flower is one of the plants that contains anthocyanins, which have the potential to be used as an alternative indication of natural acids and bases. The study aims to determine the acid and base material curriculum and competency indicators, as well as the potential of butterfly pea flower extract as a substitute for synthesis indicators and the practicality of butterfly pea flower extract as a chemical experimental design in SMA/MA. This study employs a descriptive qualitative research method that includes literature review, observation, experimentation, and interviewing. The results showed that the relationship between acid-base materials and experiments was the determination of natural materials as acid-base indicators, the pH of the solution, the identification of acid-base properties, and acid-base titration. The butterfly pea flower indicator was produced from maceration extraction using 96% ethanol as the solvent. The butterfly pea flower indicator gives pink color at pH 1-2, reddish purple at pH 3, light purple at pH 4-5, turquoise at pH 6, bluish green at pH 7, light blue at pH 8-9, green at pH 10, yellowish green at pH 11, greenish yellow at pH 12-13, and yellow at pH 14. The titration step showed that butterfly pea flower indicators could replace synthetic indicators, namely phenolphthalein and methyl orange. Based on the analysis, the butterfly pea flower indicator can be used as an alternative indicator in acid base titration and an alternative experimental design in schools.