Investigating the Human Impacts and the Environmental Consequences of Microplastics Disposal into Water Resources

During the last decades, one of the most contentious environmental issues has been the investigation of the fate of microplastics (MPs) and detrimental consequences in natural and water resources worldwide. In this respect, it is critical research firstly to track the ways in which MPs are determined as key anthropogenic pollutants in terms of ecological risk and secondly to plan feasible policies under which the role of science and society in tackling this global issue in the future should be prioritized. In this study, a systematic theoretical, technical, and planning analysis was developed in alignment with a Scopus search deployed in the second half of the year 2021 and covering a wide chronological range (from 1970s onwards) and thematic contexts of analysis by using keywords and key phrases organized into two groups. The document results were graphically represented, revealing the main scientific focus of studies. Subsequently, our study investigated the quantitative assessment methods of MPs in marine environments, denoting the range of standard procedures applied for collecting and analyzing samples of water, bottom sediments, and coastal deposits. The technological part of the study includes the presentation of the relevant analytical techniques applied for MPs tracking and monitoring in water resources, determining the wide spectrum of plastic compounds traced. Of particular interest was the determination of environmental depletion and human implications caused, even by extremely low concentrations of MPs, for marine biota, posing potential risks to marine ecosystems, biodiversity, and food availability. Finally, the research proposed the challenges of actions needed to support scientific, industry, policy, and civil society communities to curb the ongoing flow of MPs and the toxic chemicals they contain into water resources, while rethinking the ways of plastics consumption by humanity.

Il simbolico e la via del movimento delle donne

Symbolic politics has been one of the key phrases in Italian feminism since the 1970s. This text describes the historical origins and significance of this concept together with the difference in the use of the symbolic dimension in traditional male politics. The most important difference is that female politics are born from living and affective relations which cannot be permanently established and rotate around non-formalized procedural practices. The sense that emerges is felt during the actual process and the symbolic is therefore experienced and transformed from the inside with the authority that comes from these practices, which influence and modify each other due to their closeness. They spread by proximity.

Philosophy of Existentialism: Individual Awareness in Indonesian Education

The philosophy of existentialism emerged driven by the uncertain world conditions due to world wars. So existentialism is present as a thought movement that emphasizes human subjectivity and freedom. This study has a purpose for reflection. Reflection means the process of understanding events in the mind or experience that is owned. This study uses descriptive qualitative research. This study utilizes a literature search. The literature search process begins with key phrases such as “existentialism”, “education” and “awareness”. Man must exist, which means realizing that he exists to control himself and act on his behalf. The philosophy of existentialism talks about human existence, while talking about humans means questioning educational issues. Each person is unique, which is different from one another. Realizing this is important for students, parents, teachers, principals, board members, and all those involved in education. Education is expected to realize the "intensity of awareness" of students. So that they are aware of their responsibility to determine the life they will live themselves.

Photodynamic Therapy as A New Technology for Inactivation of Coronavirus Disease (COVID-19)

Purpose: Coronavirus Disease (COVID-19) could be an emerging disease with a severe acute respiratory infection, and its epidemiology and unique medicinal properties are perpetually increasing. Regarding the lack of COVID-19 controls, this needs current technical events to worsen and treat. Antiviral Photodynamic Therapy (aPDT) could also be effective in reducing and inhibiting the coronavirus. aPDT with various photosensitizers is a very favorable procedure to manage viral infections. Materials and Methods: A total of 37 articles related to the publication of this review manuscript were mentioned. Several scientific databases such as Scopus, PubMed, Web of Science (ISI), and Google Scholar have checked the key phrases of COVID-19, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), photodynamic therapy, and antiviral photodynamic therapy. All 50 main studies were found, and 37 related studies were deemed suitable for this study after review. Results: Studies have shown that aPDT with different photosensitizers can be used to treat viral lung complications caused by infectious pathogens such as Middle East Respiratory Syndrome (MERS), SARS-CoV-2, and influenza. Recent studies have shown that aPDT-mediated Methylene Blue (MB) can help control and eradicate coronavirus. In general, more research is needed to use antiviral photodynamic therapy to control COVID-19. Conclusion: Regarding the lack of treatment for COVID-19, MB-mediated aPDT can help reduce the impact of COVID-19. More evidence is needed to support aPDT as a treatment (SARS-CoV-2).

The Characterisation of God and the Retributive Punishment of David

Evidence from 2 Sam 12–20 and related texts is sought to give depth to a portrait of God’s characterisation related to retribution: God can be described as judging and ruling, author of covenant and curse, creator, redistributor of power and possessions, and demonstrating fatherly love. The key phrases ‘evil in the eyes of the LORD’ and ‘favour in the eyes of the LORD’ are examined for insights into God’s interior judgement. Whilst the former suggests impartiality and the latter partiality, both are subjective interior responses of God after David’s actions gain God’s attention and are consistent with God’s covenant relationship with David. External descriptions of God as transcendent and communicating through a prophet are used to develop the divine characterisation further.

Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends

This study aimed to analyze and predict interest in mental health-related queries created in Google Trends (GT) during the COVID-19 pandemic. The Google Trends tool collected data on the Google search engine interest and provided real-time surveillance. Five key phrases: “depression”, “insomnia”, ”loneliness”, “psychologist”, and “psychiatrist”, were studied for the period from 25 September 2016 to 19 September 2021. The predictions for the upcoming trend were carried out for the period from September 2021 to September 2023 and were estimated by a hybrid five-component model. The results show a decrease of interest in the search queries “depression” and “loneliness” by 15.3% and 7.2%, respectively. Compared to the period under review, an increase of 5.2% in “insomnia” expression and 8.4% in the “psychiatrist” phrase were predicted. The expression “psychologist” is expected to show an almost unchanged interest. The upcoming changes in the expressions connected with mental health might be explained by vaccination and the gradual removal of social distancing rules. Finally, the analysis of GT can provide a timely insight into the mental health interest of a population and give a forecast for a short period trend.

Exploratory Analysis of Fundamental Spiritual Support Factors to a Positive Attitude in Patients with COVID-19 Using Natural-Language Processing Algorithms

The SARS-CoV-2 virus that causes COVID-19 affects the respiratory tract and is highly infectious. Those patients who knew that the disease could cause death or that their healing process is quite painful because of the symptoms and conditions developed extreme stress, anxiety, and depression, which aggravated the effects of the disease. Therefore, it is vital to conduct research to analyze these effects and generate self-help and support mechanisms during the disease process. This paper presents exploratory analysis related to stress, coping attitudes, emotional responses, and sources of support that were vital in patients affected by COVID-19; the focus of this study is the consideration of the spiritual factor, which may influence religious resilience that allows for a positive attitude and tenacity. To carry out this research, interviews were conducted with patients who had suffered from COVID-19 disease, and the collected information was processed using text-mining techniques using a two-phase methodology. The first phase is based on the Colaizzi method. Interview responses were coded through the search for patterns in the key phrases, and these codes were grouped, forming semantic relationships. In the second phase, natural-language processing algorithms (WordCloud, WordEmbedding, sentiment analysis of opinions) were used, summarizing the interviews in relevant factors of the patient’s experience during the disease. Spiritual resilience stood out the most of all key phrases of the code group tables. Likewise, words such as security, confidence, tranquility, and peace indicated that the patients took a positive attitude towards the symptoms and complications of the disease. Therefore, it is important to be the resilience to face a crisis process, and one of the factors that generated such resilience in COVID-19 patients was religious faith, which was expressed in the interviews using the factors of security, trust, promises of healing, tranquility, and the impossibility of discouragement. All this contributed to the positive attitude of the interviewees during the process of recovery from the disease.

“Red” and “green” flags of risk disclosures – identifying associations between positive and negative key phrases and consecutive cumulative abnormal stock returns

Purpose The usefulness of risk disclosures (RDs) to support equity investors’ investment decisions is highly discussed. As prior research criticizes the extensive aggregation of risk information in existing empirical research, this paper aims to provide an attempt to identify disaggregated risk information associated with cumulative abnormal stock returns (CARs). Design/methodology/approach The sample consists of 2,558 RDs of companies listed in the S&P 500 index. The RDs were filed within 10 K filings between 2011 and 2017. First, this study automatically extracted 35,685 key phrases that occurred in a maximum of 1.5% of the RDs. Second, this study performed stepwise regressions of these key phrases and identified 67 (78) key phrases that show positive (negative) associations with CARs. Findings The paper finds that investors seem to value most the more common key phrases just below the 1.5% rarest key phrase threshold and business-related key phrases from RDs. Furthermore, investors seem to perceive key phrases that contain words indicating uncertainty (impacts) as a negative (positive) rather than a positive (negative) signal. Research limitations/implications The research approach faces limitations mainly due to the selection of the included key phrases, the focus on CARs and the methodological choice of the stepwise regression analysis. Originality/value The study reveals the potential for companies to increase the information value of their RDs for equity investors by providing tailored information within RDs instead of universal phrases. In addition, the research indicates that the tailored RDs encouraged by the SEC contain relevant information for investors. Furthermore, the results may guide the attention of equity investors to relevant text passages whose deeper analysis might be useful with regard to investors’ capital market decisions.

Development of Knowledge Base Using Human Experience Semantic Network for Instructive Texts

An organized knowledge structure or knowledge base plays a vital role in retaining knowledge where data are processed and organized so that machines can understand. Instructive text (iText) consists of a set of instructions to accomplish a task or operation. Hence, iText includes a group of texts having a title or name of the task or operation and step-by-step instructions on how to accomplish the task. In the case of iText, storing only entities and their relationships with other entities does not always provide a solution for capturing knowledge from iTexts as it consists of parameters and attributes of different entities and their action based on different operations or procedures and the values differ for every individual operation or procedure for the same entity. There is a research gap in iTexts that created limitations to learn about different operations, capture human experience and dynamically update knowledge for every individual operation or instruction. This research presents a knowledge base for capturing and retaining knowledge from iTexts existing in operational documents. From each iTexts, small pieces of knowledge are extracted and represented as nodes linked to one another in the form of a knowledge network called the human experience semantic network (HESN). HESN is the crucial component of our proposed knowledge base. The knowledge base also consists of domain knowledge having different classified terms and key phrases of the specific domain.