Least-squares Regression Analysis Research Articles

Impact of Financialization on Income Inequality in Aspect of Welfare

Recently income inequality has been growing in many countries, and it is one of the biggest economic and social problems. The International Monetary Fund, the Organization for Economic Co-operation and Development (OECD), and other organizations stress the importance of this issue. According to Atkinson, Brandolini (2009), changes in income inequality show whether a particular society becomes more egalitarian over time or not, in which socio-economic direction it progresses.Even countries with similar economic structures differ in the level of income inequality and, according to Stiglitz (2015), differences in income inequality are related to policy decisions. The decisions of countries may depend on the prevailing view if markets are efficient or inefficient. In the first case, countries tend to rely more on neoliberal economic doctrine, and in the second, on the welfare state, where the role of government is more active (Stiglitz, 2017). However, it is observed that the growing income inequality is related to the growing role of the financial market, i.e. the phenomenon of financialization, which weakens the role of government. Thus, assessing the impact of financialization on income inequality is an actual topic of scientific debate.The results of studies, assessing the impact of financialization on income inequality, are mixed. Some financialization dimensions, such as financial liberalization, banking / financial crises increase income inequality, but microfinance intensity reduces income inequality. The contradictory results can be explained by the fact that research samples differ, various indicators reflecting the financialization are used, different independent variables are included in the regression equations.Studies have also been conducted in groups of countries that belong to different welfare state regimes (Josifidis, Mitrović, Supić, Glavaški, 2016; Dafermos, Papatheodorou, 2013). These studies emphasize that the level of income inequality is related to the efficiency of the social security system, i.e. income inequality is lower in Social–democratic welfare state regime (inherent universal social services and benefits) and Conservative–corporatist welfare state regime (social security model related to employment status) groups of countries than in the Mediterranean welfare state regime (characterized by the fragmentation of the social security model) and Liberal welfare state regime (inherent the specificity of the social security model, there is no universality) groups of countries. However, there is a lack of research that assesses the impact of financialization on income inequality in different welfare state regime groups of countries. The research problem: what is the impact of financialization on income inequality, is this impact the same in different EU welfare state regime groups? The object of the research - the impact of financialization on income inequality. The aim of the research is to assess the impact of financialization on income inequality in EU country groups.Research methods: analysis of scientific literature, grouping, generalization, regression analysis of panel data.When assessing the impact of financialization on income inequality in different welfare regimes EU country groups during the period 1998-2017, the least-squares regression analysis method of the panel data was used. The conducted research confirms the hypothesis and clearly shows that financialization, measured both by financial development index and domestic credit to the private sector, increases income inequality in all groups of countries. Thus, it shows that the role of the financial market is growing and financialization processes are contributing to the growth of income inequality in all groups of welfare regime countries and may reduce the role of government. These results are in line with Stiglitz, 2012; Razgūnė, 2017; Dünhaupt, 2014; Golebiowski, Szczepankowski, Wisniewska, 2016; Palley, 2008) who analyzed the relationship between financialization and growing income inequality. However, the study of Dabla-Norris et al. (2015), by contrast, find that the ratio of domestic credit to GDP in developed countries reduces income inequality.

Seasonal variations of the dominant factors for spatial heterogeneity and time inconsistency of land surface temperature in an urban agglomeration of central China

The urban heat island (UHI) effect is causing a series of environmental, energy and health problems. Studies on UHI are on the rise; however, some limitations still exist, such as the poor interaction of factors affecting land surface temperature (LST) and restriction of linear hypotheses from research method. To overcome these problems, we used geo-detector to measure the independent and interactive impacts on spatial heterogeneity of LST, and performed Spearman correlation, ordinary least-squares regression, all-subsets regression, and hierarchical partitioning analysis to explore the driving mechanism of time inconsistency of regional heat island (RHI). The results showed the most significant layers affecting spatial heterogeneity of LST in different seasons were landscape composition and biophysical parameters during daytime of relatively hotter seasons, climate conditions during winter daytime, climate conditions and biophysical parameters during nighttime, respectively. The wetlands proportion and albedo significantly influenced the time inconsistency of RHI between day and night. The dominant factors of time inconsistency of RHI between seasons were ΔNDVI, Δalbedo, Δalbedo, and Δsunshine duration during daytime, and Δsunshine duration, farmland proportion, Δair temperature, and forest land proportion during nighttime, respectively. These findings contribute to make scientific UHI adaptation strategies and promote sustainable development of cities and society.

Cointegral Crystalization Of Triple Bottom Financial Reports And The Performance Of Hydrocarbon Companies

The study considered the co-integral consequences of Triple Bottom Line financial reports of listed hydrocarbon companies on their financial outlooks. It was conducted to evaluate the crystalized correlation of responsible hydrocarbon companies on their financial fortunes. In simple terms, the research looked for answers to the question of whether it is financially worthwhile for corporate citizens to be responsible. The study employed the expos facto design where secondary data were obtained from the annual reports of the listed hydrocarbon companies on the floor of the Nigerian Stock Exchange. The least-square multiple linear regression analysis methods were employed to establish the degree of financial crystallization consequential to the adoption of the triple bottom reporting format. Social, economic, and environmental reports of the studied listed hydrocarbon companies were co-integrated with the returns on assets of the companies, to establish the level of crystallization of the explanatory variables with the response variable. The crystallized results revealed that economic disclosure and environmental disclosure have limited significant crystallization characteristics on the returns on assets, while social disclosure showed significantly positive crystallization characteristics with returns on assets of the studied companies. Arising from these findings, therefore, the study recommended that a mandatory reporting framework be put in place for hydrocarbon companies listed on the floor of the Nigerian Stock Exchange to encourage sustainability reporting.

Increased serum C1q/TNF-related protein 4 concentration in patients with acute coronary syndrome

Accumulated evidence have revealed profound associations between C1q/TNF-related proteins (CTRPs) and coronary artery disease (CAD); yet, the relationship of CTRP4 to CAD has not been investigated. We examined the role of CTRP4 in CAD, and especially in acute coronary syndrome (ACS). MethodsA total of 138 patients referred for coronary angiography were included in this study and were classified into 3 groups (ACS, CAD and control group). Comparisons regarding clinical data and CTRP4 concentration were performed among 3 groups. Weighted least-squares regression analysis was used to identify the independent predicting factors for CTRP4. ResultsCompared with either CAD (median 7.19 vs. 9.43, P < 0.05) or control group (median 7.22 vs. 9.43, P < 0.01), ACS group showed higher CTRP4 concentration. In addition, trend χ2 test revealed the presence of ACS increased with increased CTRP4 concentration (P = 0.010). Finally, in the weighted least-squares regression analysis, ACS was the only independent variable influencing CTRP4 concentration (β- coefficient = 3.082, P = 0.004), even after adjusting for high-sensitivity C reactive protein (β- coefficient = 3.050, P = 0.007). ConclusionsCTRP4 was associated with ACS; moreover, ACS was the independent factor in predicting CTRP4 concentration. The potentially important implications of CTRP4 in ACS may offer a novel insight into understanding the link between inflammation and ACS.

Delinquent and Risk Behaviour among High School Students in a Canadian Prairie City: A Multivariate Analysis

Drawing primarily on the concepts of self-control, differential association, and social bond, this paper explores delinquent and risk behaviour among high school students in a Canadian prairie city. A total of 262 students attending 14 high schools participated in a self-administered questionnaire survey. The results demonstrated that a notable number of students engaged in various risk (e.g., drinking, unprotected sex, and smoking) and delinquent (e.g., use of illegal substance, theft, and vandalism) behaviour. Multiple ordinary least-squares regression analysis revealed that males, older students, and those who had parents with a lower level of education, considered religion to be less important, scored lower on the self-control scale, indicated having more close friends who used illegal drugs, and reported having been a victim of violent or property crime were shown to have a greater likelihood of risk behaviour involvement. On the other hand, male respondents and those who scored lower on the self-control scale, associated with individuals who used illegal drugs, and reported having been a victim of violent or property crime were found to be significantly more likely to engage in delinquent behaviour. Policy implications of these results for institutional interventions are briefly discussed.

Short Seller, Firm, and Auditor Behavior

Purpose: Although a small part of arbitrage trading, short selling has a significant impact on capital markets. This study empirically examines relationships among short selling, earnings managements, and auditor behaviors. Design/methodology/approach: We employed short selling and abnormal short selling as independent variables. Audit hours, audit fees, and (absolute) value of discretionary accruals as dependent variables. In this study, we basically include ordinary least-squares regression analyses using panel data and interaction analyses. Findings: This study verifies the relationship among short selling, firm earnings management, and auditor behavior, showing positive relationships between short selling and current and future audit fees, audit hours, and current audit quality. Further, higher audit risk, caused by the interaction between abnormal short selling and aggressive earnings management, is reflected in future audit fees and hours. Research limitations/implications: Due to the financial data provided on an annual basis, the daily short selling data was aggregated on an annual basis. This study suggests that short selling is related to firm earnings management behavior, as well as to the auditor behaviors. Therefore, regulators should consider the impacts of short selling on company and auditors as well as investors. Originality/value: This study provides evidence that the positive relationship between short selling and audit fee is not only caused by risk-premium channels, but also by audit-effort channels. Furthermore, we find that the interaction effects of short selling and earnings managements occur only in abnormal short selling. This seemed to impose penalties on short selling exceeding forecasts when auditors considered earnings managements and short selling at the same time.

Ultraviolet/Visible and Near-Infrared Dual Spectroscopic Method for Detection and Quantification of Low-Level Malaria Parasitemia in Whole Blood

The scourge of malaria infection continues to strike hardest against pregnant women and children in Africa and South East Asia. For global elimination, testing methods that are ultrasensitive to low-level ring-staged parasitemia are urgently required. In this study, we used a novel approach for diagnosis of malaria infection by combining both electronic ultraviolet-visible (UV/vis) spectroscopy and near infrared (NIR) spectroscopy to detect and quantify low-level (1-0.000001%) ring-staged malaria-infected whole blood under physiological conditions uisng Multiclass classification using logistic regression, which showed that the best results were achieved using the extended wavelength range, providing an accuracy of 100% for most parasitemia classes. Likewise, partial least-squares regression (PLS-R) analysis showed a higher quantification sensitivity (R2 = 0.898) for the extended spectral region compared to UV/vis and NIR (R2 = 0.806 and 0.556, respectively). For quantifying different-stage blood parasites, the extended wavelength range was able to detect and quantify all thePlasmodium falciparum accurately compared to testing each spectral component separately. These results demonstrate the potential of a combined UV/vis-NIR spectroscopy to accurately diagnose malaria-infected patients without the need for elaborate sample preparation associated with the existing mid-IR approaches.

1H NMR spectroscopic characterization of inclusion complex of desferrioxamine B chelator and β-cyclodextrin

In this work the complexation between desferioxamine B (DFOB), and β-Cyclodextrin (β-CD) in solution was investigated using 1H NMR spectroscopy. Inclusion compound formation was confirmed by the upfield shifts of H3 and H5 protons, located inside the cavity of β-CD, and downfield shifts of some of the methylene protons of DFOB, observed during NMR titration experiments. Using the continuous variation method, we determined a 1:1 stoichiometry and the association constant was calculated using a nonlinear least-square regression analysis implemented in CONSTEQ, a software developed in our group. A theoretical molecular docking study was additionally performed to ascertain possible conformations of the inclusion complex.

Analysis of the Effects of COVID-19 Mask Mandates on Hospital Resource Consumption and Mortality at the County Level.

Coronavirus disease 2019 (COVID-19) threatens vulnerable patient populations, resulting in immense pressures at the local, regional, national, and international levels to contain the virus. Laboratory-based studies demonstrate that masks may offer benefit in reducing the spread of droplet-based illnesses, but few data are available to assess mask effects via executive order on a population basis. We assess the effects of a county-wide mask order on per-population mortality, intensive care unit (ICU) utilization, and ventilator utilization in Bexar County, Texas. We used publicly reported county-level data to perform a mixed-methods before-and-after analysis along with other sources of public data for analyses of covariance. We used a least-squares regression analysis to adjust for confounders. A Texas state-level mask order was issued on July 3, 2020, followed by a Bexar County-level order on July 15, 2020. We defined the control period as June 2 to July 2 and the postmask order period as July 8, 2020-August 12, 2020, with a 5-day gap to account for the median incubation period for cases; longer periods of 7 and 10 days were used for hospitalization and ICU admission/death, respectively. Data are reported on a per-100,000 population basis using respective US Census Bureau-reported populations. From June 2, 2020 through August 12, 2020, there were 40,771 reported cases of COVID-19 within Bexar County, with 470 total deaths. The average number of new cases per day within the county was 565.4 (95% confidence interval [CI] 394.6-736.2). The average number of positive hospitalized patients was 754.1 (95% CI 657.2-851.0), in the ICU was 273.1 (95% CI 238.2-308.0), and on a ventilator was 170.5 (95% CI 146.4-194.6). The average deaths per day was 6.5 (95% CI 4.4-8.6). All of the measured outcomes were higher on average in the postmask period as were covariables included in the adjusted model. When adjusting for traffic activity, total statewide caseload, public health complaints, and mean temperature, the daily caseload, hospital bed occupancy, ICU bed occupancy, ventilator occupancy, and daily mortality remained higher in the postmask period. There was no reduction in per-population daily mortality, hospital bed, ICU bed, or ventilator occupancy of COVID-19-positive patients attributable to the implementation of a mask-wearing mandate.

Adapting confocal Raman microscopy for in situ studies of redox transformations at electrode-electrolyte interfaces

Confocal Raman microscopy was applied to quantify redox species present within the diffusion layer adjacent to an electrode surface under potentiostatic control. A glass microscope coverslip with a thin indium tin oxide (ITO) coating served as both the working electrode and optical window for a microscope-stage mountable spectroelectrochemical cell. A high numerical aperture objective mounted in an inverted microscope frame just below the stage brought excitation radiation through the coverslip window and to a tight focus a few micrometers above the ITO film surface. Species diffusing into the confocal probe volume defined by the excitation beam focus and the collected light region were detected, identified and quantified based on their Raman scattering frequencies and intensities. In measurements that interrogated the interconversion of ferrocyanide and ferricyanide ions as a function of applied voltage, least-squares regression analysis of spectral datasets predicted the formal potential and relative surface concentrations of the ions in good agreement with the expected Nernstian response. Preliminary studies of methyl viologen reduction at an ITO film/Nafion membrane interface were conducted and show the possibility for estimation of mass transport coefficients of redox species within ionic polymer materials.

Metabolomic Biomarker Candidates for Skeletal Muscle Loss in the Collagen-Induced Arthritis (CIA) Model.

There is no consensus for diagnosis or treatment of RA muscle loss. We aimed to investigate metabolites in arthritic mice urine as biomarkers of muscle loss. DBA1/J mice comprised collagen-induced arthritis (CIA) and control (CO) groups. Urine samples were collected at 0, 18, 35, 45, 55, and 65 days of disease and subjected to nuclear magnetic resonance spectroscopy. Metabolites were identified using Chenomx and Birmingham Metabolite libraries. The statistical model used principal component analysis, partial least-squares discriminant analysis, and partial least-squares regression analysis. Linear regression and Fisher’s exact test via the MetaboAnalyst website were performed (VIP-score). Nearly 100 identified metabolites had CIA vs. CO and disease time-dependent differences (p < 0.05). Twenty-eight metabolites were muscle-associated: carnosine (VIPs 2.8 × 102) and succinyl acetone (VIPs 1.0 × 10) showed high importance in CIA vs. CO models at day 65; CIA pair analysis showed histidine (VIPs 1.2 × 102) days 55 vs. 65, histamine (VIPs 1.1 × 102) days 55 vs. 65, and L-methionine (VIPs 1.1 × 102) days 0 vs. 18. Carnosine was fatigue- (0.039) related, creatine was food intake- (−0.177) and body weight- (−0.039) related, and both metabolites were clinical score- (0.093; 0.050) and paw edema- (0.125; 0.026) related. Therefore, muscle metabolic alterations were detected in arthritic mice urine, enabling further validation in RA patient’s urine, targeting prognosis, diagnosis, and monitoring of RA-mediated muscle loss.

Half-life of 67Cu

The half-life of 67Cu was determined through serial gamma-ray spectrometry measurements of the dominant gamma emission (E γ : 184.6 keV; branching ratio: 48.7%) produced following β- decay. Data were collected consecutively for 1000 s per measurement, with a total of 3063 measurements over the duration of 36 days. The incidence rate for the 184.6 keV gamma-ray was determined from the spectral peak area and duration of each measurement. This rate was then corrected to account for detector dead-time, radioactive decay during each acquisition and drift in the computer clock in comparison to NIST nuclear clock. Least-squares regression analysis was performed to determine the half-life of 67Cu. The result was 61.761 ± 0.004 h, which is the highest precision measurement to date, and marks a 24-fold precision improvement over the current Nuclear Data Sheets value.

Developing a model for estimating the activity of colonic microbes after intestinal surgeries.

BackgroundThe large intestine provides a compensatory role in energy recovery when surgical interventions such as extensive small intestinal resections or bypass operations lower the efficiency of nutrient absorption in the upper gastrointestinal (GI) tract. While microorganisms in the colon are known to play vital roles in recovering energy, their contributions remain to be qualified and quantified in the small intestine resection.ObjectiveWe develop a mathematical model that links nutrient absorption in the upper and lower GI tract in two steps.MethodsFirst, we describe the effects of small intestine resection on the ileocecal output (ICO), which enters the colon and provides food for microbes. Second, we describe energy recovered by the colon’s microorganisms via short-chain fatty acid (SCFA) production. We obtain model parameters by performing a least-squares regression analysis on clinical data for subjects with normal physiology and those who had undergone small intestine resection.ResultsFor subjects with their intestines intact, our model provided a metabolizable energy value that aligns well with the traditional Atwater coefficients. With removal of the small intestine, physiological absorption became less efficient, and the metabolizable energy decreased. In parallel, the inefficiencies in physiological absorption by the small intestine are partly compensated by production of short-chain fatty acids (SCFA) from proteins and carbohydrates by microorganisms in the colon. The colon recovered more than half of the gross energy intake when the entire small intestine was removed. Meanwhile, the quality of energy absorbed changed, because microbe-derived SCFAs, not the original components of food, become the dominant form of absorbed energy.ConclusionThe mathematical model developed here provides an important framework for describing the effect of clinical interventions on the colon’s microorganisms.

How do executive pay and its gap with employee pay influence corporate performance? Evidence from Thailand tourism listed companies

PurposeThe authors investigate how executive pay and its gap with employee pay influence the performance of Thailand tourism listed companies.Design/methodology/approachThe authors manually collect data on the executives' and employees' remunerations for Thailand tourism listed companies and use the data for the authors’ OLS regression analysis. To check the robustness of the results to potential endogeneity issues, the authors employ the two-stage least-squares regression analysis and the impact threshold for a confounding variable approach.FindingsThe authors find that short-term executive compensation enhances firm performance, and that long-term executive compensation reduces the likelihood of unfavorable corporate performance. The authors also find that the gap in short-term pay between executives and employees has an inverted-U relation with firm performance.Research limitations/implicationsThis study suggests that higher executive pay relative to employee pay could encourage executives to work hard to improve corporate performance, but that too large a pay gap between executives and employees could impair employees' morale and harm firm performance.Practical implicationsIt is important for tourism companies to not only pay executives well but also avoid too large a pay gap between executives and employees.Social implicationsThis study implies the important role of compensation design in contributing to employee engagement and good performance for tourism firms.Originality/valueThis study sheds light on agency problems between executives and employees in tourism companies and provides new evidence and insights on compensation research in the tourism sector in emerging markets.

Characterization of different non-Saccharomyces yeasts via mono-fermentation to produce polyphenol-enriched and fragrant kiwi wine

To improve the functional property and flavor quality of kiwi wine, the performance of 11 strains of non-Saccharomyces yeasts from 5 species were comprehensively characterized in kiwi wine. Chemical compositions and sensorial profiles of all kiwi wines were assessed. The results indicated that most non-Saccharomyces cerevisiae produced more polyphenols than Saccharomyces cerevisiae WLS21 (Sc21). A total of 130 volatiles were observed in the kiwi wines. Zygosaccharomyces rouxii IFO30 (Zr30), Zygosaccharomyces bailii IFO37 (Zb37) and Schizosaccharomyces pombe 1757 (Sp57) were found to produce more concentration of volatile compounds than the other strains including Sc21. 25 volatiles with a rOAV ≥0.1 were identified. Principal component analysis (PCA) revealed that Zr30 and Zb37 specifically increased the concentrations of ethyl esters, 2-methylbutan-1-ol and phenethyl acetate, while Sp57 primarily enhanced the contents of phenylacetaldehyde, 2-methylbutan-1-ol and phenethyl acetate. The sensory analysis demonstrated that Zr30 and Zb37 strains were more optimal than S. cerevisiae in aroma generation. In addition, the partial least-squares regression (PLSR) analysis revealed that tropical fruits, red fruits, dried fruits, flowers and floral odors showed an intensely positive impact on the overall acceptability of the kiwi wine.

SEPARATION OF FIXED AND VARIABLE COSTS FROM MIXED COSTS AT A WATER AND SEWERAGE OPERATOR

Knowing the costs of some activity is essential to a financial manager. Within costs it is important to group them into variable costs and fixed costs. The operation of an enterprise generates costs that with the help of the accounting records fail to group costs into the two large categories and a third category of costs arises, namely mixed costs. Mixed costs contain both fixed and variable costs and can only be separated by statistical methods. With the least-squares method, we can make this separation of mixed costs, respecting the conditions imposed by a statistical analysis. Very many use this method without analyzing the parametricity of the data, and the results obtained are of poor quality. In this article we have reviewed the literature on variable, mixed and fixed costs and the statistical model applied. In the research we applied the least-squares regression analysis to the water and sewage operator in Harghita County for the water activity for 2020 and 2019, comparing the results over the two years. The results were also verified with the help of the IBM SPSS analysis program. The conclusion we have reached is that the method of the least-squares is very well applicable for the separation of mixed costs if the data collected at the accounting level are parametric as happens at the regional water operator Harviz S. A., where at the accounting level fixed, mixed and variable production costs are analytically highlighted. The decisions made on the basis of these costs are relevant and enable the undertaking to make the right decisions knowing its break-even point and the fixed costs it can incur. Decisions are also relieved by the fact that fixed costs are highlighted in the two subcategories, namely: short-term fixed costs and long-term fixed costs. As a final conclusion, the decrease in production caused by the reduction in consumption in 2020 did not substantially change the variable costs separated from the mixed costs, so the method used provides support for correct decisions.

Handling batch-to-batch variability in portable spectroscopy of fresh fruit with minimal parameter adjustment

Near-infrared (NIR) spectroscopy models for fresh fruit quality prediction often fail when used on a new batch or scenario having new variability which was absent in the primary calibration. To handle the new variability often model updating is required. In this study, to solve the challenge of updating NIR models related to fresh fruit quality properties, the use of a semi-supervised parameter-free calibration enhancement (PFCE) approach was proposed. Model updating with PFCE was shown in two ways: first where the model on the primary batch was updated individually for each new fruit batch, and second where the model was sequentially updated for the next batches. Furthermore, for the first time, a case of updating an instrument transferred model was also presented. The PFCE approach was shown in two real cases related to moisture and total soluble solids prediction in pear and kiwi fruit. In the case of pear, the model was later updated for 3 new measurement batches, while, for kiwi, a commercial model was updated to incorporate the variability of a new experiment carried out with a new instrument in the laboratory environment. For each modelling demonstration, the performance was benchmarked with the partial least-square (PLS) regression analysis on the primary batch. The results showed that the models updated with a semi-supervised approach kept a high predictive performance on new measurement batches, without any extra parameter optimization. An instrument transferred model was also updated to maintain its performance on different batches. Further, the sequential updating approach was found to be performing better than the update for individual batches, as the models were able to learn from multiple batches. Model updating with a semi-supervised approach can allow the NIR spectroscopy of fresh fruit to be scalable, where models can be shared between scientific or application community.

Assessment of chemical constitution and aroma properties of kiwi wines obtained from pure and mixed fermentation with Wickerhamomyces anomalus and Saccharomyces cerevisiae.

To improve the aroma of kiwi wine through the utilization of Wickerhamomyces anomalus, kiwi juice was fermented using a selected W. anomalus strain in pure culture and mixed fermentations with Saccharomyces cerevisiae, which was inoculated simultaneously and sequentially. The physicochemical indices, volatile compounds and aroma properties of the kiwi wines were assessed. The study suggested that the ethanol, color indices and organic acids of the wines were closely related to the method of inoculation. Compared with the pure S. cerevisiae fermentation, the mixed fermentations produced more varieties and concentrations of volatiles. The sequential fermentations increased the concentrations of esters and terpenes, improving the flower and sweet fruit notes of the wines. The simultaneous inoculation enhanced the contents of esters and aldehydes, intensifying the flower, sweet and sour fruit of the wines. Partial least-squares regression analysis showed that esters and terpenes contributed greatly to the flower and sweet fruit aroma, whereas aldehydes were the major contributors to the sour note. Based on our results, the mixed fermentations not only enriched the types and concentrations of volatiles, but also had better sensory properties. © 2021 Society of Chemical Industry.

An estimation and analysis method for suspended sediment and depth map of Gulf of Mannar

ABSTRACT The coastal influence in the Gulf of Mannar is determined by an Organic Suspended Particulate Matter (OSPM) and an Inorganic Suspended Particulate Matter (ISPM). The OSPM and ISPM concentrations were used to extract scattering properties of the water. In this research work, OSPM and ISPM have been obtained from remotely sensed particle scatter. Based on the in-water measurements, sediments are measured from Sentinel-A (S2A) using Linear Least-Square (LLS) Regression analysis and Case 2 Regional Coast Colour (C2RCC) neural network. Depth map is estimated by cluster-based regression (CBR) bathymetry. The experimental result analysis shows that the proposed method has produced substantial correlation between the observed values and the remotely sensed data based on the different statistical performance measures. The performance measures of MNB, RMSE and MAPD for the retrieval of OSPM based on the OLCI are 0.041, 0.026 and 2.442 whereas for ISPM measures are 0.064, 0.048 and 1.865 respectively.

High-Resolution Metabolomic Assessment of Pesticide Exposure in Central Valley, California

Pesticides are widely used in the agricultural Central Valley region of California. Historically, this has included organophosphates (OPs), organochlorines (OCs), and pyrethroids (PYRs). This study aimed to identify perturbations of the serum metabolome in response to each class of pesticide and mutual associations between groups of metabolites and multiple pesticides. We conducted high-resolution metabolomic profiling of serum samples from 176 older adults living in the California Central Valley using liquid chromatography with high-resolution mass spectrometry. We estimated chronic pesticide exposure (from 1974 to year of blood draw) to OPs, OCs, and PYRs from ambient sources at homes and workplaces with a geographic information system (GIS)-based model. Based on partial least-squares regression and pathway enrichment analysis, we identified metabolites and metabolic pathways associated with one or multiple pesticide classes, including mitochondrial energy metabolism, fatty acid and lipid metabolism, and amino acid metabolism. Utilizing an integrative network approach, we found that the fatty acid β-oxidation pathway is a common pathway shared across all three pesticide classes. The disruptions of the serum metabolome suggested that chronic pesticide exposure might result in oxidative stress, inflammatory reactions, and mitochondrial dysfunction, all of which have been previously implicated in a wide variety of diseases. Overall, our findings provided a comprehensive view of the molecular mechanisms of chronic pesticide toxicity, and, for the first time, our approach informs exposome research by moving from macrolevel population exposures to microlevel biologic responses.