Evaluation of oxalic acid extraction and quantification methods in the different purslane (Portulaca oleracea L.) matrices and spinach (Spinacea oleracea).

Purslane (Portulaca oleracea) and spinach (Spinacea oleracea) are species with elevated levels of oxalic acid, an antinutrient that interferes in the bioaccessibility of minerals such as calcium and iron. Evaluating methods to determine oxalic acid content with reduced matrix interference, such as employing Flame Atomic Absorption Spectrometry (FAAS), can enhance the specificity of determinations. The different matrices of purslane (whole plant, leaves, and juice) and spinach (whole plant) were tested using three extraction methods (M1, M2, and M3). The oxalic acid content was evaluated by UV-vis spectrophotometry and FAAS (Flame Atomic Absorption Spectrometry). The absence of the precipitation step in M1 resulted in high levels of oxalic acid in the investigated matrices. The quantification of oxalic acid by FAAS for M2 (6M HCl for 1 hour at 100°C) and M3 (0.25N HCl for 15 minutes at 100°C) in the samples of purslane leaves and spinach whole plants yielded statistically similar results. However, the analysis by UV-vis spectrophotometry for M2 and M3 showed significant discrepancies in all evaluated samples, suggesting interference from colored compounds in the food matrix.•Comparison of methods of extraction•Comparison of UV-vis spectrophotometer and FAAS in the quantification of oxalic acid•Analysis of antinutrients in plant matrices.

Dataset of media practices for informational, educational, and entertainment purposes in Peru: Uses and gratifications approach.

This database consists of the Peruvian media diet in a post-pandemic context. Specifically, it examines how Peruvians define and utilise media to create environments for information, learning, and entertainment. Since the pandemic, the relationship that users have developed with the media has intensified and changed, fostering new uses and interactions. However, our data demonstrates that the Peruvian public maintains a critical role towards mass media (broadcasting model) [1], which motivates them to seek out media and platforms that cater to their interests and expectations. In this regard, we compare three axes of analysis (information, education, and entertainment), taking socio demographic variables, to produce a baseline that is useful for specific research projects. Through a quantitative approach we explored the expectations, decisions, forms of interaction, and satisfactions that users obtain in their relationship with the media, offering new theoretical insights based on emerging data, such as the level of planning in content consumption or the role that traditional media play in different age and socioeconomic groups.

High precision orientation mapping from 4D-STEM precession electron diffraction data through quantitative analysis of diffracted intensities.

The association of scanning transmission electron microscopy (STEM) and detection of a diffraction pattern at each probe position (so-called 4D-STEM) represents one of the most promising approaches to analyze structural properties of materials with nanometric resolution and low irradiation levels. This is widely used for texture analysis of materials using automated crystal orientation mapping (ACOM). Herein, we perform orientation mapping in InP nanowires exploiting precession electron diffraction (PED) patterns acquired by an axial CMOS camera. Crystal orientation is determined at each probe position by the quantitative analysis of diffracted intensities minimizing a residue comparing experiments and simulations in analogy to x-ray structural refinement. Our simulations are based on the two-beam dynamical diffraction approximation and yield a high angular precision (∼0.03°), much lower than the traditional ACOM based on pattern matching algorithms (∼1°). We anticipate that simultaneous exploration of both spot positions and high precision crystal misorientation will allow the exploration of the whole potentiality provided by PED-based 4D-STEM for the characterization of deformation fields in nanomaterials.

Glycosort: A Computational Solution to Post-process Quantitative Large-Scale Intact Glycopeptide Analyses.

Protein glycosylation is a post-translational modification involving the addition of carbohydrates to proteins and plays a crucial role in protein folding and various biological processes such as cell recognition, differentiation, and immune response. The vast array of natural sugars available allows the generation of plenty of unique glycan structures in proteins, adding complexity to the regulation and biological functions of glycans. The diversity is further increased by enzymatic site preferences and stereochemical conjugation, leading to an immense amount of different glycan structures. Understanding glycosylation heterogeneity is vital for unraveling the impact of glycans on different biological functions. Evaluating site occupancies and structural heterogeneity aids in comprehending glycan-related alterations in biological processes. Several software tools are available for large-scale glycoproteomics studies; however, integrating identification and quantitative data to assess heterogeneity complexity often requires extensive manual data processing. To address this challenge, we present a python script that automates the integration of Byonic and MaxQuant outputs for glycoproteomic data analysis. The script enables the calculation of site occupancy percentages by glycans and facilitates the comparison of glycan structures and site occupancies between two groups. This automated tool offers researchers a means to organize and interpret their high-throughput quantitative glycoproteomic data effectively.

One-point calibration and matrix-matching concept for quantification of potentially toxic elements in wood by LA-ICP-MS.

The aim of this work is to evaluate two quantitative methods, based on the external calibration applied in laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) analysis, known as (i) analytical curve and (ii) one-point calibration, using the concept of matrix matching to quantify three potentially toxic elements (PTEs) in wood samples. These can biologically register changes in the abiotic environment and be applied to monitoring climate change or environmental toxicity. In this case, standard sample preparation was evaluated to prepare the standard pellets using Pinus taeda species as a matrix-matching concept. Six pellets of P. taeda, with different Pb, Cd, and Ba concentrations, were prepared to build the analytical curve and one-point calibration strategies. The LA-ICP-MS parameters were optimised for 206Pb, 208Pb, 112Cd, 114Cd, 137Ba, and 138Ba isotope analysis in wood samples. The two calibration strategies provided 74-110% analytical recovery from certified reference materials and similar results to those obtained by ICP-MS through the acid digestion of environmental wood samples from São Paulo City (Brazil). This demonstrated the applicability of the one-point calibration strategy in quantifying PTEs in wood samples, which could be used with environmental analyses. Differences observed between the Ba isotope results obtained via LA-ICP-MS and ICP-MS quantification were related to sampling by LA-ICP-MS and the ICP-MS sample introduction, as well as to laser matrix and transport effects because of the difference between the wood species evaluated.

MID-FTIR-PLS Chemometric Analysis of Cr(VI) from Aqueous Solutions Using a Polymer Inclusion Membrane-Based Sensor.

A partial least squares (PLS) quantitative chemometric method based on the analysis of the mid-Fourier transform infrared spectroscopy (MID-FTIR) spectrum of polymer inclusion membranes (PIMs) used for the extraction of Cr(VI) from aqueous media is developed. The system previously optimized considering the variables membrane composition, extraction time, and pH, is characterized in terms of its adsorption isotherm, distribution coefficient, extraction percent, and enrichment factor. A Langmuir-type adsorption behavior with KL = 2199 cm3/mmol, qmax = 0.188 mmol/g, and 0 < RL < 1 indicates that metal adsorption is favorable. The characterization of the extraction reaction is performed as well, showing a 1:1 Cr(VI):Aliquat 336 ratio, in agreement with solvent extraction data. The principal component analysis (PCA) of the PIMs reveals a complex pattern, which is satisfactorily simplified and related to Cr(VI) concentrations through the use of a variable selection method (iPLS) in which the bands in the ranges 3451-3500 cm-1 and 3751-3800 cm-1 are chosen. The final PLS model, including the 100 wavelengths selected by iPLS and 10 latent variables, shows excellent parameter values with root mean square error of calibration (RMSEC) of 3.73115, root mean square error of cross-validation (RMSECV) of 6.82685, bias of -1.91847 × 10-13, cross-validation (CV) bias of 0.185947, R2 Cal of 0.98145, R2 CV of 0.940902, recovery% of 104.02 ± 4.12 (α = 0.05), sensitivity% of 0.001547 ppb, analytical sensitivity (γ) of 3.8 ppb, γ-1: 0.6 ppb-1, selectivity of 0.0155, linear range of 5.8-100 ppb, limit of detection (LD) of 1.9 ppb, and limit of quantitation (LQ) of 5.8 ppb. The developed PIM sensor is easy to implement as it requires few manipulations and a reduced number of chemical compounds in comparison to other similar reported systems.

Evaluation of a portable retinal imaging device: towards a comparative quantitative analysis for morphological measurements of retinal blood vessels.

This study investigated the possibility of using low-cost, handheld, retinal imaging devices for the automatic extraction of quantifiable measures of retinal blood vessels. Initially, the available handheld devices were compared using a Zeiss model eye incorporating a USAF resolution test chart to assess their optical properties. The only suitable camera of the five evaluated was the Horus DEC 200. This device was then subjected to a detailed evaluation in which images in human eyes taken from the handheld camera were compared in a quantitative analysis with those of the same eye from a Canon CR-DGi retinal desktop camera. We found that the Horus DEC 200 exhibited shortcomings in capturing images of human eyes by comparison with the Canon. More images were rejected as being unevaluable or suffering failures in automatic segmentation than with the Canon, and even after exclusion of affected images, the Horus yielded lower measurements of vessel density than the Canon. A number of issues affecting handheld cameras in general and some features of the Horus in particular have been identified that might contribute to the observed differences in performance. Some potential mitigations are discussed which might yield improvements in performance, thus potentially facilitating use of handheld retinal imaging devices for quantitative retinal microvascular measurements.

Superexploração da força de trabalho: uma proposta metodológica de análise / Superexploitation of the labor force: a methodological proposal for analysis

Resumo: O presente ensaio propõe uma análise quantitativa da superexploração da força de trabalho, especialmente por meio de mecanismos que vinculem a intensificação da exploração da força de trabalho às transferências estruturais de valor da periferia ao centro. Nosso propósito é esboçar breves notas metodológicas que contribuam com os esforços incipientes de análise quantitativa da superexploração, avançando em relação a eles, sobretudo mediante o reconhecimento dos limites desses esforços.

Abstract: This essay proposes a quantitative analysis of the superexploitation of the labor force, especially through mechanisms that link the intensification of the exploitation of the labor force to structural transfers of value from the periphery to the center. Our purpose is to outline brief methodological notes that contribute to the incipient efforts of quantitative analysis of superexploitation, moving forward in relation to them, especially based on a recognition of the limits of these efforts.

Factores diferenciales entre desistimiento individual y colectivo de mujeres de las FARC-EP en prisión / Differential factors between individual and collective desistance of FARC-EP women in prison / Fatores diferenciais entre a desistência individual e coletiva das mulheres das FARC-EP na prisão

Para el año 2017 se encontraban vigentes en Colombia dos marcos jurídicos para promover el desistimiento y desarticulación de las FARC-EP. Los dos, aunque desde contextos diferentes, han promovido, por un lado, el desistimiento individual y por otro, el desistimiento colectivo de sus miembros. Las mujeres han sido partícipes de ambos procesos, desde la libertad o la prisión de manera minoritaria y asimétrica en comparación con los hombres. Con el interés de analizar este fenómeno, el presente estudio buscó identificar los factores que llevaron a las mujeres a desistir según una u otra modalidad y de-terminar diferencias y similitudes. Para este propósito se diseñó un modelo probabilístico que captara las relaciones de causalidad entre desistimiento y factores predichos desde las teorías del aprendizaje social, de la elección racional y del control social informal, en una muestra de mujeres farianas en prisión que desistieron de forma individual y colectiva. Se encontró que factores como pertenecer a un rango de edad entre 20 y 31 años, tener pareja y haber participado en delitos graves, asociados al terrorismo, influyeron en la selección de la modalidad individual, mientras que tener más de 31 años, participar en delitos comunes junto a los asociados con el terrorismo, incluyendo el narcotráfico, y proceder de regiones con historia de conflicto arraigada predijeron el desistimiento colectivo.

By 2017, there were two legal frameworks in force in Colombia to promote the disbanding and dismantling of the FARC-EP. Both, although from different contexts, have promoted, on the one hand, the individual disbandment and, on the other, the collective disbandment of its members. Women have participated in both processes, from freedom or prison, in a minority and asymmetrical manner compared to men. In order to analyse this phenomenon, this study sought to identify the factors that led women to desist in one or the other modality and to determine differences and similarities. For this purpose, a probabilistic model was designed to capture the causal relationships between desistance and factors predicted from the theories of social learning, rational choice and informal social control, in a sample of women in prison who desisted individually and collectively. It was found that factors such as belonging to an age range between 20 and 31 years, having a partner and having participated in serious crimes associated with terrorism, influenced the selection of the individual modality, while being over 31 years old, participating in common crimes along with those associated with terrorism, including drug trafficking, and coming from regions with a history of deep-rooted conflict predicted collective desistance.

Até 2017, havia duas estruturas legais em vigor na Colômbia para promover a dissolução e o desmantelamento das FARC-EP. Ambos, embora de contextos diferentes, têm promovido, por um lado, a dissolução individual e, por outro, a dissolução coletiva de seus membros. As mulheres participaram de ambos os processos, da liberdade ou da prisão, de forma minoritária e assimétrica em relação aos homens. A fim de analisar este fenômeno, este estudo procurou identificar os fatores que levaram as mulheres a desistir em uma ou outra modalidade e determinar diferenças e semelhanças. Para este fim, um modelo probabilístico foi projetado para capturar as relações causais entre a desistência e os fatores previstos a partir das teorias de aprendizagem social, escolha racional e controle social informal, em uma amostra de mulheres na prisão que desistiram individual e coletivamente. Constatou-se que fatores como pertencer a uma faixa etária entre 20 e 31 anos, ter um parceiro e ter participado de crimes graves associados ao terrorismo, influenciaram a seleção da modalidade individual, embora tendo mais de 31 anos de idade, participar de crimes comuns juntamente com aqueles associados ao terrorismo, incluindo o tráfico de drogas, e vindo de regiões com um histórico de conflitos profundamente enraizados preveram a desistência coletiva.

Systematic Review of Mixed Studies on Malaria in Pregnancy: Individual, Cultural and Socioeconomic Determinants of Its Treatment and Prevention.

Malaria in pregnancy (MiP) is a global public health problem; its research is predominantly quantitative. The objective was to analyze the individual, cultural and socioeconomic determinants of the treatment and prevention of MiP with a systematic review of mixed studies (search had no date restriction). Reproducibility and evaluation of the methodological quality were guaranteed. 21 studies were included (20 from Africa). The quantitative component included 7816 pregnant women and 483 health workers. The qualitative component included 800 subjects (pregnant women, health workers, family members and community leaders). The main topics were the use and acceptability of WHO strategies to prevent MiP, individual determinants related with knowledge, perceptions, attitudes and behaviors on MiP, and cultural and socioeconomic barriers for its treatment and prevention. The main determinants of MiP were long distance to the clinic, lack of economic resources, low-coverage antenatal care, few health workers in the communities, drug shortages, cultural rules that prevent women's participation in health issues, and misconceptions about MiP. MiP has determinants related to economic conditions, the structure and functioning of the health system, symbolic and cultural aspects, as well as knowledge, beliefs, perceptions and behavior of pregnant women, which prevent optimal access and use of preventive strategies. This study evidences the importance of intersectional, intersectoral, and interdisciplinary work to prevent MiP.

Genetic-quantitative uni- and bi-trait analysis for growth traits in the Colombian creole breed Blanco Orejinegro (BON).

The Blanco Orejinegro (BON) is a Colombian creole cattle breed that is not genetically well characterized for growth traits. The aim of this work was to estimate genetic parameters for birth weight (BW), weaning weight (WW), yearling weight (YW), daily weight gain between birth and weaning (DWG), time to reach 120 kg of live weight (T120), and time to reach 60% of adult weight (T60%), and establish the selection criteria for growth traits in the BON population of Colombia. Genealogical and phenotypic information for BW, WW, YW, DWG, T120, and T60% traits of BON animals from 14 Colombian herds were used. These traits were analyzed with the AIREML method in a uni- and bi-trait animal model including the maternal effect for BW, WW, DWG, and T120. The direct heritability estimates values were 0.22 ± 0.059 (BW), 0.20 ± 0.057 (WW), 0.20 ± 0.153 (YW), 0.17 ± 0.07 (DWG), 0.26 (T120), and 0.44 ± 0.03 (T60%). The maternal heritability estimates values were 0.14 ± 0.040 (BW), 0.15 ± 0.039 (WW), 0.25 ± 0.06 (DWG), and 0.16 (T120). The direct genetic correlations were high ( >|0.60|) among all the traits, except between T60% with BW, WW, YW, and DWG (ranged from - 0.02 to - 0.51), all in a favorable direction. The results showed that there is genetic variation in the growth traits associated with the additive genetic effect, and they might respond to selection processes. Furthermore, genetic gains would improve through selection, especially for YW and T60% when WW is used as criterion.

Selection of Polymorphic Patterns Obtained by RAPD-PCR through Qualitative and Quantitative Analyses to Differentiate Aspergillus fumigatus.

The objective of this work was to use the random amplification of the polymorphic DNA-polymerase chain reaction (RAPD-PCR) technique to select polymorphic patterns through qualitative and quantitative analyses to differentiate the species A. flavus, A. fumigatus, A. niger and A. tubingensis. Twenty-seven Aspergillus isolates from different species were typified using phenotypic (macro- and micromorphology) and genotypic (partial BenA gene sequencing) methods. Thirty-four primers were used to obtain polymorphic patterns, and with these a qualitative analysis was performed to select the primers that presented species-specific patterns to distinguish each species. For the quantitative selection, a database was built from the polymorphic patterns and used for the construction of logistic regression models; later, the model that presented the highest value of sensitivity against specificity was evaluated through ROC curves. The qualitative selection showed that the primers OPA-19, P54, 1253 and OPA-02 could differentiate the species. A quantitative analysis was carried out through logistic regression, whereby a species-specific correlation of sensitivity and specificity greater than 90% was obtained for the primers: OPC-06 with a 96.32% match to A. flavus; OPF-01 with a 100% match to A. fumigatus; OPG-13 with a 98.01% match to A. tubingensis; and OPF-07 with a 99.71% match to A. niger. The primer OPF-01 discriminated the four species as well as closely related species. The quantitative methods using the selected primers allowed discrimination between species and showed their usefulness for genotyping some of the species of medical relevance belonging to the genus Aspergillus.

Descriptive Sensory Profile and Consumer Study Impact of Different Nutritive and Non-Nutritive Sweeteners on the Descriptive, Temporal Profile, and Consumer Acceptance in a Peach Juice Matrix.

The study evaluated the effect of peach juice sweetened with sucrose, widely used non-nutritive sweeteners, the artificial sucralose, neotame blend, and the natural stevia extract with different rebaudioside A concentrations on the temporal and quantitative descriptive profile, and consumer acceptance of the beverage. The sensory profiling was determined by quantitative descriptive and time-intensity analyses. The results showed that the sweeteners neotame and sucralose present higher sweetening power, and the different rebaudioside A concentrations did not affect the sweetening power of the stevia extract. The samples sweetened with stevia with 40% and 95% of rebaudioside A were characterized by the sensory attributes bitter taste, bitter aftertaste, astringency, and black tea flavor, with a negative influence on the consumers' acceptance. The different concentrations of rebaudioside A in stevia interfered substantially in the descriptors bitter taste and bitter aftertaste, showing that the higher the percentage of rebaudioside A, the lower bitterness of peach juice.

A morphological and morphometric approach to study Ophiuroidea (Echinodermata): Size changes of Ophiocomella alexandri.

Studies on size changes of Ophiuroidea are limited, despite their importance and implications in taxonomy, phylogenetics, ecology, and distribution. These studies have traditionally been based on descriptive size series seldom integrating quantitative analyses to assess the morphological variability of species, despite their potential use to study size changes in brittle stars. To confirm the latter, size changes of Ophiocomella alexandri were studied here using this approach. The studied size series of O. alexandri included specimens from 1.64 to 23.64 mm disc diameter (DD). Quantitative and qualitative external morphological characters were examined on each specimen, and quantitative analyses (cluster, one-way permutational analysis of variance, and discriminant analysis) were employed to identify size groups within the species. The allometric relationship disc diameter-total arm length (DD-AL) was estimated for each size group and the combined size groups. Two size groups were identified: Group 1, subdivided into Subgroup 1.1 and Subgroup 1.2, and Group 2. Each size group presented particular characters which were described, discussed, and compared with relevant literature. The relationship DD-AL was positively allometric for Group 1 and combined size groups, and isometric for Group 2. The results highlight the potential of quantitative analyses to address size-related morphological changes in ophiuroids, and the importance of conducting this type of study to correctly identify species regardless of their size. This is the first study to describe size-related morphological changes of a brittle star from the Eastern Pacific, and the first one focused on a member of Ophiocomidae globally.

HPLC quantitative analysis of protocatechuic acid contents in 11 Phellinus mushroom species collected in Thailand

Abstract Phellinus mushrooms have been traditionally used for various medicinal purposes. Protocatechuic acid, which was previously reported to be a component in some Phellinus mushrooms, has some pharmacological effects. This study aimed to validate a HPLC method for the quantitative analysis of the protocatechuic acid contents in the extracts from different Phellinus mushroom species collected in Thailand. HPLC was carried out using a C18 column and the gradient mobile phases of 0.1% formic acid in water and 0.1% formic acid in acetonitrile. Method validation was performed to assure the linearity, accuracy, precision, limit of detection and limit of quantitation of the analytical method. The linearity range of protocatechuic acid was 1 - 10 µg/ml. The average recovery was 104.16%. The method was shown to be precise with the RSD of repeatability and intermediate precision at less than 3%. The protocatechuic contents in 11 Phellinus mushrooms were in the range of less than 0.0099 - 0.4121 %w/w of the extract. The developed HPLC method was reliable and suitable for the quantitative analysis of protocatechuic acid content in Phellinus mushrooms.

Cardiac and Autonomic Dysfunctions Assessed Through Recurrence Quantitative Analysis of Electrocardiogram Signals and an Application to the 6-Hydroxydopamine Parkinson's Disease Animal Model.

A classic method to evaluate autonomic dysfunction is through the evaluation of heart rate variability (HRV). HRV provides a series of coefficients, such as Standard Deviation of n-n intervals (SDNN) and Root Mean Square of Successive Differences (RMSSD), which have well-established physiological associations. However, using only electrocardiogram (ECG) signals, it is difficult to identify proper autonomic activity, and the standard techniques are not sensitive and robust enough to distinguish pure autonomic modulation in heart dynamics from cardiac dysfunctions. In this proof-of-concept study we propose the use of Poincaré mapping and Recurrence Quantification Analysis (RQA) to identify and characterize stochasticity and chaoticity dynamics in ECG recordings. By applying these non-linear techniques in the ECG signals recorded from a set of Parkinson's disease (PD) animal model 6-hydroxydopamine (6-OHDA), we showed that they present less variability in long time epochs and more stochasticity in short-time epochs, in their autonomic dynamics, when compared with those of the sham group. These results suggest that PD animal models present more "rigid heart rate" associated with "trembling ECG" and bradycardia, which are direct expressions of Parkinsonian symptoms. We also compared the RQA factors calculated from the ECG of animal models using four computational ECG signals under different noise and autonomic modulatory conditions, emulating the main ECG features of atrial fibrillation and QT-long syndrome.

Climate Change and Emotions: Analysis of People's Emotional States in Southern Ecuador.

Climate change involves multiple emotional expressions associated with specific labels, notably: 'concern,' 'guilt,' or 'scepticism.' However, there are other types of emotions that have been less analysed, such as 'powerlessness,' 'anger' and 'confusion' that are of equal importance for predicting behavioural changes toward this climatic issue. Likewise, few studies in this research field rely on qualitative data to understand and identify the causative agents for the emotional arousal. This research explores a range of emotions, mixing those that have been widely studied and those that have been hardly analysed. It also looks at the demographic parameters associated with such emotions using a population sample from southern Ecuador. The study analyses quantitative and qualitative data gathered through structured-questionnaires whereby participants were given agency to select and define how they themselves sense emotionally climate change. The results indicate that two of the five participants' most selected emotions are shared with other nations ('concern,' 'guilt'), while the other three have been less reported and studied in the climate change field ('powerlessness,' 'anger,' and 'confusion'). These emotions were found to be aroused by different reasons associated with specific demographic variables. The findings reveal the role of the cultural and local environment in the emotional arousal and its relevance for designing more effective climate communication campaigns.

Challenges and Opportunities for Academic Parents During COVID-19.

Parents in academic careers face notable challenges that may go unrecognized by university management and/or policy makers. The COVID-19 pandemic has shed light on some of these challenges, as academic parents shifted to working from home while simultaneously caring for children. On the other hand, many parents found that the shift to working from home offered new opportunities such as working more flexible hours, development of digital skillsets, and increased involvement in the education of their children. In this article we explore the work-related challenges and opportunities experienced by academic parents as a result of the COVID-19 pandemic and offer potential long-term solutions for academic parents and their universities. We use the following methods: (1) a literature review focused on identifying the work-related challenges academic parents faced prior to the pandemic, as well as the impact of the pandemic on scientists and working parents and (2) administer a world-wide survey with the goal of identifying the challenges and opportunities associated with parenting and academic work through the COVID-19 lockdown (304 total responses; 113 complete). Moving forward these findings have enabled conclusions to be drawn in order to shape a new normal. Our aim is to offer university administrators, policy makers, and community service providers with ways to provide additional support for academic parents as well as provide tools for academic parents to learn successful strategies directly from their peers.

A systematic review of quantitative analysis of cannabinoids in oral fluid.

Cannabis sativa L. is a substance widely used around the world for recreational and medicinal purposes. Oral fluid has been investigated as an alternative biological matrix for demonstrating the illegal use of cannabis, particularly in situations where its recent use needs to be identified. In the last two decades, many methods have been developed to detect and quantify cannabinoids in oral fluid, especially for Δ9 -tetrahydrocannabinol, the primary psychoactive substance of cannabis. However, some aspects must be considered in the use of these techniques, such as cannabinoids recoveries or extraction efficiency from different oral fluid collection devices/containers. Pharmacokinetic studies have shown that the presence of minor cannabinoids and metabolites in the analysis of oral fluid may be valuable in interpreting tests, which indicates the need to improve the sensitivity of detecting low concentrations. The aim of this review is to summarize and to describe the methodologies for the quantitative analysis of cannabinoids in oral fluid that have previously been investigated. A systematic search for articles was performed of four different databases, using the descriptor "cannabinoids and oral fluid". Forty-seven studies that examined quantitative methods were identified. The analytical data described in these articles, including oral fluid collection, sample preparation, cannabinoids recovery and extraction efficiency, detection instruments, and quantification limits, were analyzed. The discussion of these particular features of cannabinoid analysis in oral fluid could help to improve or to develop methods for use in Forensic Toxicology.

Relationship between the sociodemographic characteristics of participants in the DIADA project and the rate of compliance with follow-up assessments in the initial stage of the intervention.

OBJECTIVE: Analyse the relationship between the sociodemographic profile of the DIADA study participants and the rate of compliance with the follow-up assessments in the early stage of this project's intervention for depression and unhealthy alcohol use offered within primary care. METHODS: A non-experimental quantitative analysis was conducted. The sociodemographic data of DIADA [Detección y Atención Integral de Depresión y Abuso de Alcohol en Atención Primaria (Detection and Integrated Care for Depression and Alcohol Use in Primary Care)] study participants had been previously collected. At the time of the evaluation (September 12, 2019), only the participants who had been in the project for a minimum of 3 months were included. By using univariate (Chi-squared) analyses, we studied the association between participants' sociodemographic profile and their rate of compliance with the first follow-up assessment at 3 months after study initiation. RESULTS: At the date of the evaluation, 584 adult participants were identified, of which 389 had been involved in the project for more than 3 months. From the participants included, 320 performed the first follow-up, while 69 did not. The compliance rate to the first follow-up was 82.3% (95 % [CI] 78.1%-86%) and was not affected by: site location, age, sex, civil status, level of education, use of smartphone, PHQ9 score (measuring depression symptomatology) or AUDIT score (measuring harmful alcohol use). Participants who do not use a smartphone, from rural areas and with a lower socioeconomic status, tended to show higher compliance rates. Statistically significant associations were found; participants with lower job stability and a lack of access to the Internet showed higher compliance rates to the early initial follow-up assessment. CONCLUSIONS: The compliance rate was high and generally constant in spite of the variability of the sociodemographic profiles of the participants, although several sub-groups of participants showed particularly high rates of compliance. These findings may suggest that integrating mental health into primary care allows the structural and financial barriers that hinder access to health in Colombia to be broken down by raising awareness about mental illnesses, their high prevalence and the importance of timely and accessible medical management.