Indirect Methodologies Research Articles

A NEW APPROACH TO THE ACCELERATED METHOD FOR ASSESSING THE ALKALI REACTIVITY OF DOMESTIC AGGREGATES

In Poland, the prevailing protocols for examining the alkali reactivity of aggregates are based on indirect methodologies such as petrographic appraisal, in addition to direct methodologies including the measurement of expansion in mortar and concrete specimens containing the aggregate under investigation. The available research methods exhibit certain deficiencies, which have been mitigated under the experimental conditions delineated in the novel accelerated approach for ascertaining the reactivity of aggregates, otherwise known as the MCPT – Miniature Concrete Prism Test. The methodology of MCPT has the potential to become an alternative for the existing procedures of quality assessment for both fine and coarse aggregates. This work presents the assessment results of the alkaline reactivity of indigenous fine quartz aggregate, examined in accordance with the protocols established by the Polish General Directorate for National Roads and Motorways along together the novel, expedited MCPT methodology.

Application of Direct and Indirect Methodologies for Beach Litter Detection in Coastal Environments

In this study, different approaches for detecting of beach litter (BL) items in coastal environments are applied: the direct in situ survey, an indirect image analysis based on the manual visual screening approach, and two different automatic segmentation and classification tools. One is a Mask-RCNN based-algorithm, already used in a previous work, but specifically improved in this study for multi-class analysis. Test cases were carried out at the Torre Guaceto Marine Protected Area (Apulia Region, southern Italy), using a novel dataset from images acquired in different coastal environments by tailored photogrammetric Unmanned Aerial Vehicle (UAV) surveys. The analysis of the overall methodologies used in this study highlights the potential exhibited by the two machine learning (ML) techniques (Mask-RCCN-based and SVM algorithms), but they still show some limitations concerning direct methodologies. The results of the analysis show that the Mask-RCNN-based algorithm requires further improvements and a consistent increase in the number of training elements, while the SVM algorithm shows limitations related to pixel-based classification. Furthermore, the outcomes of this research highlight the high suitability of ML tools for assessing BL pollution and contributing to coastal conservation efforts.

Effectiveness of attractants and bait for Iberian wolf detection: captivity-based and free-ranging trials

Monitoring large carnivores requires substantial effort, which is why indirect methodologies such as camera trapping with attractants or baits are commonly employed. The Iberian wolf (Canis lupus signatus) is one of the top predators in the Iberian Peninsula, and monitoring its packs is essential to understand its distribution and mitigate conflicts arising from livestock predation. We performed a captivity-based study evaluating the effectiveness of five attractants (beef extract, cadaverine, Fatty Acid Scent (FAS), lynx urine and valerian extract) on wolf detection. To accomplish this objective, Jacobs selectivity index and generalized linear models were employed to assess the attractiveness and induced behaviour of each attractant. Subsequently, the three most effective attractants, combined or not with a bait, were tested in the field and analyzed using generalized linear mixed models. The five attractants tested elicited different behavioural responses in the wolves in captivity, including smelling, rubbing, rolling, marking and licking. Among the captive wolves, cadaverine, FAS and lynx urine emerged as the top three preferred attractants. In the field tests with these three attractants cadaverine remained the most preferred option. The inclusion of bait did not have any significant effect on the wolf’s visitation rates. Our results show that employing species-specific attractants can significantly improve the efficiency of carnivore surveys conducted in the field. Specifically, cadaverine was the most effective attractant for wild Iberian wolves. Consequently, the careful selection of an appropriate attractant becomes crucial to attain the precise objectives of the study, such as camera trapping, bait deployment or DNA sampling.

Groundwater level response to precipitation at the hydrological observatory of Pinios (central Greece)

To study groundwater dynamics and their response to precipitation in the Pinios river basin (central Greece), the variation trends and seasonal patterns of fourteen monitored groundwater and two precipitation time series were examined using time series decomposition, autocorrelation, and wavelet analysis. The objective is to perform indirect methodologies based on groundwater level and precipitation data to attain a detailed understanding of the hydrogeological mechanisms of the aquifer system and develop an approach that can be easily employed worldwide. The three approaches confirm local groundwater circulation understanding by dividing the aquifer system into three parts characterised by varying transmissivity and storativity properties. The extended memory effect, ranging between 70 and 230 days suggests great inertia and storage capacity of the examined groundwater system. The wavelet analysis proves that the system acts as a filter which absorbs the precipitation frequencies converting them into GWL signals, as demonstrated by the 256 days periodicity shared by groundwater level and precipitation time series. Generally, GWLs present a hysteresis to precipitation due to the geological setup and local flow conditions and are particularly affected by a seasonal component, as also highlighted by time series decomposition. An evident annual periodicity is also observed in hydrological and hydrogeological time series. Results suggest the effectiveness of the proposed combination of methods in developing hydrological understanding and their general applicability to other regions where at least groundwater level and precipitation time series are available. By utilising such data-driven approaches, hydrogeologists and water resource managers can gain valuable insights into the behavior of aquifers, groundwater flow patterns, and the impact of human activities on groundwater quality and quantity.

Using indirect methods to explore low-energy fusion cross sections in nuclear astrophysics

Nuclear reactions within stellar environments typically manifest at energies well below 1 MeV. As a consequence, the Coulomb barrier strongly suppresses the cross section, diminishing it to values as minute as a few nanobarns for charged particles. This challenge in obtaining precise input data for astrophysics has prompted the utilization of indirect methodologies. Specifically, approaches such as ANC and THM have been employed to ascertain cross sections for reactions involving photons and charged particles in the exit channel, respectively, obviating the necessity for extrapolation. The discourse explores recent findings arising from the application of these methodologies. For example, the measurement of 6Li(3He,d)7Be is employed to infer the ANC’s of the 3He+4He→ 7Be and p+6Li→ 7Be channels, along with their corresponding radiative-capture cross sections. Furthermore, the THM measurement of the 27Al(p, α)24Mg cross section via the 2H(27Al,α 24Mg)n reaction is emphasized. In both instances, the cross section at astrophysical energies has been ascertained with unparalleled precision.

Comparison of different indirect approaches to design edible oleogels based on cellulose ethers

Growing public concern about the adverse health effects of overconsumption of saturated fat has contributed to the rising research interest in the field of using healthy oils to construct edible structured oils (oloegels) as fat-based alternatives. In this study two indirect methodologies (the emulsion template approach and the foam template approach) were investigated to prepare oleogels with hydroxypropyl methylcellulose and methylcellulose as gelling agent at three different oil concentrations. Microstructure, texture, rheology, and oil retention capacity were measured to evaluate the structural and physicochemical properties of oleogels. Results showed that the emulsion-based oleogel effectively inhibited the aggregation of droplets. The dry emulsion showed independent droplets and an oil retention capacity of 100%. In foam-type oleogels the oil retention rate was negatively correlated with the oil content. The oleogels prepared by both methods have excellent mechanical properties and gel strength, with a predominance of the elastic versus the viscous behavior. Hydroxypropyl methylcellulose and methylcellulose had different degrees of influence on the structure and mechanical properties of the two oleogels. The results of this paper provide guidance for the development and application of cellulose-based oleogels as healthy alternatives to saturated fat. • Different approaches result in different microstructure and oil retention capacity. • Oil content plays an important role in textural and rheological properties. • Oleogels present high gel strength and low dependence on frequency and temperature.

Soil Erosion and Deposition Rate Inside an Artificial Reservoir in Central Italy: Bathymetry versus RUSLE and Morphometry

This study, using different direct and indirect methodologies, evaluated the sedimentation rate in an artificial reservoir in central Italy. This reservoir is regionally representative and was built in the 1960s for hydroelectric purposes; it has experienced a strong decrease in trap efficiency and a loss of over 70% of the stored water volume. Direct measurements of the lake bottom bathymetry, carried out in 2006 and 2015, and 3D reconstructions performed in a GIS environment, made it possible to calculate the volume of filling material and to verify an increasing trend in the sedimentation rate since 2006. The sample reservoir denudation rate was compared with that obtained using the Revised Universal Soil Loss Equation method to calibrate the fundamental and critical factors of the method itself, and verify the contribution of a hydrological “direct” (through new channels or gullies) or “diffuse” (overland flow) connectivity. Furthermore, the comparison with the results obtained from past studies on ten other artificial regional reservoirs, performed with morphometric analysis, demonstrated a good relationship between soil erosion rate, stream frequency, and contributing area size. The study highlighted how a correct estimate of soil erosion and/or solid transport rates within a hydrographic basin is fundamental for the assessment of the trap efficiency of a reservoir, in a period in which the availability of water resources is becoming more and more vital.

Atherosclerosis Burdens in Diabetes Mellitus: Assessment by PET Imaging.

Arteriosclerosis and its sequelae are the most common cause of death in diabetic patients and one of the reasons why diabetes has entered the top 10 causes of death worldwide, fatalities having doubled since 2000. The literature in the field claims almost unanimously that arteriosclerosis is more frequent or develops more rapidly in diabetic than non-diabetic subjects, and that the disease is caused by arterial inflammation, the control of which should therefore be the goal of therapeutic efforts. These views are mostly based on indirect methodologies, including studies of artery wall thickness or stiffness, or on conventional CT-based imaging used to demonstrate tissue changes occurring late in the disease process. In contrast, imaging with positron emission tomography and computed tomography (PET/CT) applying the tracers 18F-fluorodeoxyglucose (FDG) or 18F-sodium fluoride (NaF) mirrors arterial wall inflammation and microcalcification, respectively, early in the course of the disease, potentially enabling in vivo insight into molecular processes. The present review provides an overview of the literature from the more than 20 and 10 years, respectively, that these two tracers have been used for the study of atherosclerosis, with emphasis on what new information they have provided in relation to diabetes and which questions remain insufficiently elucidated.

Predicting the Impact of Alcohol Taxation Increases on Mortality-A Comparison of Different Estimation Techniques.

To examine how standard analytical approaches to model mortality outcomes of alcohol use compare to the true results using the impact of the March 2017 alcohol taxation increase in Lithuania on all-cause mortality as an example. Four methodologies were used: two direct methodologies: (a) interrupted time-series on mortality and (b) comparing predictions based on time-series modeling with the real number of deaths for the year following the implementation of the tax increase; and two indirect methodologies: (c) combining a regression-based estimate for the impact of taxation on alcohol consumption with attributable-fraction methodology and (d) using price elasticities from meta-analyses to estimate the impact on alcohol consumption before applying attributable-fraction methodology. While all methodologies estimated reductions in all-cause mortality, especially for men, there was substantial variability in the level of mortality reductions predicted. The indirect methodologies had lower predictions as the meta-analyses on elasticities and risk relations seem to underestimate the true values for Lithuania. Directly estimated effects of taxation based on the actual mortalities seem to best represent the true reductions in alcohol-attributable mortality. A significant increase in alcohol excise taxation had a marked impact on all-cause mortality in Lithuania.

Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale

The distribution assessment and monitoring of species is key to reliable environmental impact assessments and conservation interventions. Considerable effort is directed towards survey and monitoring of great crested newts (Triturus cristatus) in England. Surveys are increasingly undertaken using indirect methodologies, such as environmental DNA (eDNA). We used a large data set to estimate national pond occupancy rate, as well as false negative and false positive error rates, for commercial eDNA protocols. Additionally, we explored a range of habitat, landscape and climatic variables as predictors of pond occupancy. In England, 20% of ponds were estimated to be occupied by great crested newts. Pond sample collection error rates were estimated as 5.2% false negative and 1.5% false positive. Laboratory error indicated a negligible false negative rate when 12 qPCR replicates were used. Laboratory false positive error was estimated at 2% per qPCR replicate and is therefore exaggerated by high levels of laboratory replication. Including simple habitat suitability variables into the model revealed the importance of fish, plants and shading as predictors of newt presence. However, variables traditionally considered as important for newt presence may need more precise and consistent measurement if they are to be employed as reliable predictors in modelling exercises.

A systematic review of temporomandibular disorder diagnostic methods

ABSTRACT Objective: To compile the screening tools used to study temporomandibular disorders (TMD), classify and analyze their potential application in the field of physiotherapy. Methods: All gathered data included randomized clinical trials on humans over 18 years of age pulled from three databases up to November 2019. Results: Nineteen articles were retained, in which the subjects included 1095 women and 385 men. The 32 valuation systems reported were classified as follows: direct, requiring observation and/or palpation in situ by a clinician, which can be subdivided into protocols and instrumental systems; and indirect, requiring neither observation nor palpation by a clinician, which can be subdivided into questionnaires and scales. Conclusion: In order to evaluate TMD, the best choice is to combine direct and indirect assessment methodologies. The valuation of pressure pain threshold with an algometer and Fonseca’s Anamnestic Index in combination with Anamnestic Questionnaire CMD, respectively, seems to provide the best results.

Use of indirect methodologies for determining the flow rate in water pumping systems

Water flow rate measurements are important for monitoring the irrigation practice. It is essential to find the real value of this variable using alternative low-cost methods which are easy to use or readily available. This study aimed to perform a comparative analysis among different methodologies for determining the flow rate in water pumping systems. Seven methodologies were analyzed, with 13 tests each. Three tests were done for adjustment and ten to test the equations. The correlation between the observed value and the values obtained by the methodologies was performed for the adjustment. The equations were subsequently used to obtain the estimated flow rate for comparison with the observed values. The comparative analysis was performed through the following statistical indicators: Precision Index, Agreement Index, Performance index, Root mean square deviation and Nash-Sutcliffe efficiency. The methodology which showed the best adjustment in the flow estimation was the U-tube vacuometer. The pressure showed the best general performance among the tested parameters with the Tensiometer, Bourdon vacuum gauge and U-tube vacuum gauge instruments.

Self-Diagnostic Polymers-Inline Detection of Thermal Degradation of Unsaturated Poly(ester imide)s.

Monitoring polymer degradation is an important quest, particularly relevant for industry. Although many indirect methodologies for assessing polymer degradation exist, only few are applicable for an inline-monitoring via optic detection-systems. An inline-monitoring system is introduced for the thermal degradation of crosslinked poly(ester imide)s (PEIs) by embedding trifluoroacetyl functionalized stilbene molecules, serving as chemosensors to track the release of generated alcoholic byproducts. Nucleophilic addition of an alcohol to the sensors trifluoroacetyl functionality triggers hemiacetal formation which is accompanied by significant changes in optical properties, in turn allowing monitoring of sensor activation by direct spectroscopy. Fluorescence spectroscopy offers an easy detection tool for the inline thermal monitoring of PEI-degradation.

#68: Outcomes of Establishing Infection Care and Prevention Standards in Pediatric Oncology Units in Three Hospitals on the Island of Hispaniola

Abstract Background Survival of children with cancer goes hand-on-hand with cancer treatment and improvement of infection care and prevention (ICP). The Hispaniola Island project aims to improve the quality of care and survival for children with cancer in 3 pediatric cancer units by implementing ICP programs in these units with the long-term plan of absorbing such programs into the structure of the hospital care delivery process. We report the 1-year outcomes of establishing ICP standards in pediatric oncology units. Methods We followed the general steps for health promotion when engaging with the new sites, which are: (1) planning the process; (2) conducting a situational assessment; (3) identifying objectives; (4) identifying strategies; (5) developing indicators; and (6) tracking progress. Results The planning process included discussions with local leadership, timeline plans for ICP interventions, data gathering, and decision-making. Three healthcare providers were identified and trained through the St. Jude Global educational programs as local ICP champions and institutional contacts. Through site visits and focus group discussions, each unit developed a team consisting of the local ICP champion and an infection preventionist to lead the local unit ICP improvement. Situational analysis revealed no surveillance in infections, suboptimal practices hand hygiene, central-line management, and mechanical ventilation. To guide improvement, the local ICP team begun collecting surveillance of ICP indicators, such as infection rates, with monthly reporting to and mentoring by the St. Jude team. Since February 2019, the 3 sites ICP teams prospectively captured 17,532 patient-days (median: 365 patient-days per month; range: 209–573), 384 central-line days (median: 15 central-line days per month; range: 0–33), identified 278 healthcare-associated infections in 159 patients; monitored hand hygiene through direct (observations) and indirect (alcohol gel consumption) methodologies and provided monthly education sessions in ICP to hospital staff, patients and their families. Early results demonstrate the utility of a dedicated ICP team using a standardized ICP reporting system to guide focused improvement of care delivery. Conclusions Improving ICP standards is essential for any intervention which aims to improve the survival of children with cancer. A step-wise procedure in building local teams, engaging hospital leaders, evaluating on-site resources, and introducing methods to collect infection rates and other quality indicators for healthcare delivery will provide evidence-based guidance to improve the safety of cancer care delivery. We hope that the improvement could be sustained in the longer run by incorporating the created structure and processes to the hospital system.

Application of the TML method to big data analytics and reference interval harmonization

Abstract Significant variation in reported reference intervals across healthcare centers and networks for many well-standardized laboratory tests continues to exist, negatively impacting patient outcomes by increasing the risk of inappropriate and inconsistent test result interpretation. Reference interval harmonization has been limited by challenges associated with direct reference interval establishment as well as hesitancies to apply currently available indirect methodologies. The Truncated Maximum Likelihood (TML) method for indirect reference interval establishment developed by the German Society of Clinical Chemistry and Laboratory Medicine (DGKL) presents unique clinical and statistical advantages compared to traditional indirect methods (Hoffmann and Bhattacharya), increasing the feasibility of developing indirect reference intervals that are comparable to those determined using a direct a priori approach based on healthy reference populations. Here, we review the application of indirect methods, particularly the TML method, to reference interval harmonization and discuss their associated advantages and disadvantages. We also describe the CSCC Reference Interval Harmonization Working Group’s experience with the application of the TML method in harmonization of adult reference intervals in Canada.

Induced abortion incidence and safety in Côte d'Ivoire.

In Côte d'Ivoire, induced abortion is legally restricted unless a pregnancy threatens a woman's life. Yet the limited available evidence suggests abortion is common and that unsafe abortion is contributing to the country's high maternal mortality. Our study aimed to estimate the one-year incidence of induced abortion in Côte d'Ivoire using both direct and indirect methodologies, determine the safety of reported abortions, and identify the women most likely to experience a recent induced abortion or an unsafe abortion. In 2018, we conducted a nationally representative, population-based survey of women age 15 to 49 in Côte d'Ivoire. Women reported their own abortion experiences and those of their closest female confidante. We estimated the one-year incidence of induced abortion, and the safety of the abortions women experienced. Using bivariate and multivariate regression, we separately assessed sociodemographic characteristics associated with having had a recent abortion or an unsafe abortion. Overall, 2,738 women participated in the survey, approximately two-thirds of whom reported on the abortion experiences of their closest female friend. Based on respondent data, the one-year incidence of induced abortion was 27.9 (95% CI 18.6-37.1) per 1,000 women of reproductive age, while the confidante incidence was higher at 40.7 (95% CI 33.3-48.1) per 1,000. Among respondents, 62.4% of abortions were most unsafe, while 78.5% of confidante abortions were most unsafe. Adolescents, less educated women, and the poorest women had the most unsafe abortions. This study provides the first national estimates of induced abortion incidence and safety in Côte d'Ivoire, using a population-based approach to explore social determinants of abortion and unsafe abortion. Consistent with other research, our results suggest that legal restrictions on abortion in Côte d'Ivoire are not preventing women from having abortions, but rather pushing women to use unsafe, potentially dangerous abortion methods. Efforts to reduce the harms of unsafe abortion are urgently needed.

Human Mycotoxin Biomonitoring: Conclusive Remarks on Direct or Indirect Assessment of Urinary Deoxynivalenol.

Deoxynivalenol is one of the most ubiquitous mycotoxins in the Western diet through its presence in cereals and cereal products. A vast amount of studies indicate the worrying level of exposure to this toxin, while even high percentages of the population exceed the tolerable daily intake. To evaluate and assess dietary exposure, analysis of urinary levels of deoxynivalenol and its glucuronides has been proposed as a reliable methodology. An indirect preliminary method was used based on the cleavage of deoxynivalenol glucuronides through the use of enzymes (β-glucuronidase) and subsequent determination of "total deoxynivalenol" (sum of free and released mycotoxins by hydrolysis). Next, a direct procedure for quantification of deoxynivalenol-3-glucuronide and deoxynivalenol-15-glucuronide was developed. As deoxynivalenol glucuronides reference standards are not commercially available, the indirect method is widely applied. However, to not underestimate the total deoxynivalenol exposure in urine, the direct and indirect methodologies need to be compared. Urinary samples (n = 96) with a confirmed presence of deoxynivalenol and/or deoxynivalenol glucuronides were analysed using both approaches. The indirect method clarified that not all deoxynivalenol glucuronides were transformed to free deoxynivalenol during enzymatic treatment, causing an underestimation of total deoxynivalenol. This short communication concludes on the application of direct or indirect assessment of urinary deoxynivalenol.

Abass Alavi: A giant in Nuclear Medicine turns 80 and is still going strong!

Abass Alavi: A giant in Nuclear Medicine turns 80 and is still going strong!

An overview of the role and significance of 15N methodologies in quantifying biological N2 fixation (BNF) and BNF dynamics in agro-ecosystems

Quantitative estimates of BNF are needed to improve our understanding of the ecology of N in the environment and aid efforts to improve agricultural N management. Static models based on the principle of 15N isotope dilution have been proposed to estimate the proportion of N in a N2-fixing species that is derived from the atmosphere via biological N2 fixation. Furthermore, equations have been developed to quantify the movement of biologically fixed N between neighboring species or from legumes to cereals in crop rotations. The present paper is structured to provide a comprehensive overview of these methods in a logical and systematic manner. While the relevant literature is vast, some aspects have fortunately been covered by recent in-depth reviews which will be identified and briefly summarized. The overview will emphasize the more practical indirect methodologies based either on artificial 15N enrichment or 15N depletion, or alternatively on 15N natural abundance. In considering methods used to estimate symbiotic dependence, the major structural division is whether or not a non-N2-fixing reference plant is employed, and approaches taken to remove this source of error are described. Four examples are provided to illustrate the contemporary success of 15N-based methods, one in basic research involving endophytic BNF, and three in applied research involving legume breeding for enhanced BNF, the response of legumes to climate change and biotic and abiotic factors affecting legume symbiotic performance.

Indirect methodologies to estimate energy use in vehicles: Application to battery electric vehicles

Considering electric mobility as a viable alternative to conventional technologies, it is essential to characterize electric vehicles in terms of their real-world energy use. The objective of this work was to characterize in detail the real-world energy use of battery electric vehicles. An innovative method was developed through a calibration procedure using a group of three electric quadricycles, which were measured in real world on-road conditions for several trips by collecting 1Hz data on vehicle dynamics (speed, acceleration and slope) and energy usage (measured directly at the battery terminals). Using this dataset, and through the adaptation of the vehicle specific power approach for quadricycles, it was possible to estimate electricity consumption with an absolute error between 1.4% and 4.5%. Due to the difficulties and risks associated to direct battery measurements of voltage and current of commercially available light-duty battery electric vehicles, this methodology was expanded and validated to this vehicle class in order to define the second-by-second electricity consumption as a function of the vehicle dynamics, based only on global recharging data per trip. The results obtained for two light-duty battery electric vehicles present similar accuracy and precision when compared to experimental results obtained for the electric quadricycles, with absolute deviations between 5.2% and 7.3%. The development of indirect methodologies to estimate the real-world on-road battery electric vehicle energy use in a prompt and simple way constitutes a powerful tool to evaluate the performance of these vehicles on any real-world trip.