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This review aims to provide synoptic documentation on acclaimed anecdotal plant-based remedies used by Latin America and the Caribbean (LAC) communities to manage COVID-19. The theoretical approaches that form the basis for using the anecdotally claimed phytotherapies were reviewed against current scientific evidence.

In this paper plant-based remedies for managing COVID-19 were searched on social and print media to identify testimonies of people from different communities in LAC countries. Information was extracted, evaluated and reviewed against current scientific evidence based on a literature search from databases such as Journal Storage (JSTOR), Excerpta Medica Database (EMBASE), SpringerLink, Scopus, ScienceDirect, PubMed, Google Scholar and Medline to explore the scientific basis for anecdotal claims.

A total of 23 medicinal plants belonging to 15 families were identified as phytotherapies used in managing COVID-19 in LAC communities.

The plant-based remedies contained valuable phytochemicals scientifically reported for their anti-inflammatory, antiviral, antioxidant and anticancer effects. Anecdotal information helps researchers investigate disease patterns, management and new drug discoveries. The identified acclaimed plant-based remedies are potential candidates for pharmacological evaluations for possible drug discovery for future pandemics.

The authors discuss the implications of the recent United States Supreme Court decision in Dobbs v. Jackson and its impact on employees and employers. Although several employers issued public statements regarding the provision of abortion-related benefits, the authors highlight some of the obstacles to their implementation.

With a focus on employee wellbeing, the authors discuss the obstacles in implementing abortion care benefits.

While it is encouraging to see many organizations make public statements in support of abortion rights, the authors temper their enthusiam with questions about practicality.

Based on the research on hidden stigmas and the job demands-resources model, the authors argue that employees who need to use abortion-related benefits may be unlikely to seek them.

The authors highlight some unanswered questions relating to the requesting and granting of abortion healthcare benefits.

The Dobbs decision takes away rights. While the authors applaud organizations’ efforts to restore them, facilitating access to an abortion in other states is quite complicated.

Although abortions are very common, very little organizational research has addressed the topic. In light of the Dobbs v. Jackson decision, the paper raises some timely questions about employer-sponsored abortion healthcare.

The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students’ learning experience in massive open online courses (MOOCs). It investigates the impact of various machine learning techniques in combination with process mining features to measure effectiveness of these techniques.

Student’s data (e.g. assessment grades, demographic information) and weekly interaction data based on event logs (e.g. video lecture interaction, solution submission time, time spent weekly) have guided this design. This study evaluates four machine learning classification techniques used in the literature (logistic regression (LR), Naïve Bayes (NB), random forest (RF) and K-nearest neighbor) to monitor weekly progression of students’ performance and to predict their overall performance outcome. Two data sets – one, with traditional features and second, with features obtained from process conformance testing – have been used.

The results show that techniques used in the study are able to make predictions on the performance of students. Overall accuracy (F1-score, area under curve) of machine learning techniques can be improved by integrating process mining features with standard features. Specifically, the use of LR and NB classifiers outperforms other techniques in a statistical significant way.

Although MOOCs provide a platform for learning in highly scalable and flexible manner, they are prone to early dropout and low completion rate. This study outlines a data-driven approach to improve students’ learning experience and decrease the dropout rate.

Early predictions based on individual’s participation can help educators provide support to students who are struggling in the course.

This study outlines the innovative use of process mining techniques in education data mining to help educators gather data-driven insight on student performances in the enrolled courses.

This paper aims to demonstrate gender diversity in the structure of corporate governance and test the effect of diversity on the firm performance suffering from financial distress.

The paper is quantitative using a sample of 467 public firms in Indonesia. Data were analyzed into statistics descriptive and the hypothesis was tested using the test of logistic regression.

The preliminary results of the paper demonstrate the number of firms employing women and men in the structure of corporate governance of 13% on the commissioner board, 7% on the director board and 5% on the audit committee. Based on the test of effect, this paper further found that firms employing women and men (gender diversity) in the structure of the board of commissioners, tend to suffer from financial distress lower than firms only employing men (non-gender diversity).

This paper is not an effort to make the proportion of voices of women equal to men, however the representation of women at least exists in the structure of corporate governance as part of workforce diversity and inclusivity. In addition, this paper is considered not to use panel data with the purpose of avoiding repetitive data because of the use of a nominal scale in the logistic regression model.

The finding of the paper is addressed to deliver insights into the current conversation on the issue of women's day with the theme of Each for Equal and to firms in positioning women in the structure of boardrooms.

This paper extends the limited scholarly work on the nexus between gender diversity and financial performance. The framework of social identity theory and the tenet of corporate governance are elaborated to disclose the finding that firm shareholders tend to benefit from gender diversity in the structure of the commissioner board.

The purpose of this paper is to explore how the communication of corporate social responsibility (CSR) contributes towards a favourable corporate reputation. It explores the communication strategies and channels organisations deemed reputable by stakeholders use to achieve an effective CSR communication.

To achieve this, a qualitative content analysis using the directed approach was conducted on the textual CSR communication materials of ten reputable organisations in South Africa based on the 2018 South Africa Reptrak survey.

Result showed that seven out of ten organisations use both self-serving and society-serving motive in their CSR communication, while the other 3 use only the society serving motive. The informing strategy was also more evident in the CSR communication materials than the interactive strategy. In terms of the communication channels, the study found that organisations mainly utilise controlled channels for CSR communication.

The literature reviewed and the findings of this study reveal a gap between the theory and practice of CSR communication. This drives the need for organisations to research and tailor CSR communication based on stakeholders' unique characteristics and preferences. The paper also contributes to improving the knowledge on the role different CSR communication strategies and channels play in CSR communication.

Renal failure is an end-stage consequence after persistent hyperglycemia during diabetic nephropathy (DN), and the etiology of DN has been linked to oxidative stress. The purpose of this research was to determine the beneficial synergistic effects of S-Allyl Cysteine (SAC) and Taurine (TAU) on oxidative damage in the kidneys of type 2 diabetic rats induced by hyperglycemia.

Experimental diabetes was developed by administering intraperitoneal single dose of streptozotocin (STZ; 65 mg/kg) with nicotinamide (NA; 230 mg/kg) in adult rats. Diabetic and control rats were treated with SAC (150 mg/kg), TAU (200 mg/kg) or SAC and TAU combination (75 + 100 mg/kg) for four weeks. The estimation of body weight, fasting blood glucose (FBG), oral glucose tolerance test (OGTT), oxidative stress markers along with kidney histopathology was done to investigate the antidiabetic potential of SAC/TAU in the NA/STZ diabetic group.

The following results were obtained for the therapeutic efficacy of SAC/TAU: decrease in blood glucose level, decreased level of thiobarbituric acid reactive substances (TBARS) and increased levels of GSH, glutathione-s-transferase (GST) and catalase (CAT). SAC/TAU significantly modulated diabetes-induced histological changes in the kidney of rats.

SAC/TAU combination therapy modulated the oxidative stress markers in the kidney in diabetic rat model and also prevented oxidative damage as observed through histopathological findings.

Fingerprints and blood samples are important for the identification of individuals and criminals. The present study aims to identify the predominant fingerprint patterns and the association between the fingerprint patterns and ABO–Rh blood groups in Omani population.

A cross-sectional study was conducted on 200 Omani individuals aged 18 years (104 males and 96 females). The imprints of all right and left-hand fingers were taken, and the types of the fingerprints were determined using a standard protocol. The blood group of all the subjects was recorded. Chi-square test was performed to identify the association between the fingerprint patterns and the ABO and Rh blood groups.

The loop fingerprint pattern was the most common in Omani subjects (49.4%), followed by whorl (44.9%) and arch (5.7%) pattern. A significant association (p < 0.001) was found between gender and fingerprint pattern. The loop was the highest occurring pattern in the females (54.6%), while the whorl was more in males (50.0%). The whorl pattern was the most common in the AB+ and O− groups. The loop was a predominant pattern in the A+, A−, B+, B− and O+ groups. The Chi-square test also revealed a significant correlation between different fingerprint patterns and blood groups of the subjects (p < 0.001).

The present study is an outcome of undergraduate student's research project thesis for the Doctor of Medicine (MD) program. The results of the present study may help in creating a data bank for biometrics, which can be useful for diagnosing associated diseases and also help in identification of individuals.

The purpose of this paper is to provide a socio-ecological counter account of the role that agroecology plays in supporting the sustainable livelihoods of a co-operative of smallholder coffee farmers, where very little value is created at their end of the coffee commodity chain. Agroecology may be defined as the science that provides the ecological principles and concepts for the design and management of productive agricultural ecosystems that conserve natural resources.

This study uses a case study design of a coffee-producing co-operative in India using data collected from participant observation, focus groups and unstructured interviews with indigenous smallholder farmers. It combines the science of agroecology with the labour theory of value as a theoretical framework.

An agroecological approach supports agricultural biodiversity, while promoting sustainable livelihoods since members of the co-operative are able to reduce their use of external inputs. However, an agroecological transformation is curtailed by the continued dependence on corporate value chains. A framework using the labour theory of value is used to explain the extraction of surplus value from the labour of both the smallholder farmers as well as nature. This study provides evidence of the role of government policy and practice in perpetuating the status quo by not promoting either research on agroecology or direct consumer to producer value chains while providing subsidies for the inputs of industrial agriculture.

There have been very few studies that have provided an account of the limited value generated in agricultural commodity chains for smallholder farmers due to the need to purchase the inputs of industrial agriculture supported by government subsidies. This study extends the field of accounting for biodiversity into agriculture using the science of agroecology to explain the role played by biodiversity in increasing the amount of value generated by smallholder farmers. By utilising the labour theory of value, the authors have introduced the notion of the labour power of nature as represented by the environmental services that nature provides.

Predicting the stock market's prices has always been an interesting topic since its closely related to making money. Recently, the advances in natural language processing (NLP) have opened new perspectives for solving this task. The purpose of this paper is to show a state-of-the-art natural language approach to using language in predicting the stock market.

In this paper, the conventional statistical models for time-series prediction are implemented as a benchmark. Then, for methodological comparison, various state-of-the-art natural language models ranging from the baseline convolutional and recurrent neural network models to the most advanced transformer-based models are developed, implemented and tested.

Experimental results show that there is a correlation between the textual information in the news headlines and stock price prediction. The model based on the GRU (gated recurrent unit) cell with one linear layer, which takes pairs of the historical prices and the sentiment score calculated using transformer-based models, achieved the best result.

This study provides an insight into how to use NLP to improve stock price prediction and shows that there is a correlation between news headlines and stock price prediction.

The purpose of this paper is to determine the effect of adding Aloe vera powder (AVP) in the production of mahewu with the aim of determining its shelf-life and sensory qualities.

Mahewu was produced at home (Sample B) and in the laboratory (Sample C) using a standard home-made procedure with the addition of AVP. A control mahewu (Sample A) was produced without AVP. Shelf-life was determined by following the chemical, microbiological, physical properties at 36 ± 2 °C for 60 days and the sensory properties of the products were also evaluated.

Physicochemical analysis revealed decreases in pH ranging between 3.3 and 2.4 from day 15–60 days of storage in all three samples. There was a significant increase (p < 0.05) in titratable acidity (0.2–1.8%) of all mahewu samples during storage. Total soluble solids were different amongst the samples from day 15 to day 60. The colour of the products was significantly different (p = 0.05) with respect to L*, a* and b* throughout the storage period. Microbiological results revealed an increase in coliforms bacteria, lactic acid bacteria, and yeast during storage. Sensory analysis showed that the control mahewu was more preferred than AVP added mahewu.

The study may help small-scale brewers to increase the shelf-life of mahewu.

Results of this study showed that the addition of AVP extended shelf-life of mahewu up to 15 days at 36 ± 2 °C.