Roadmapping the Transition to Water Resource Recovery Facilities: The Two Demonstration Case Studies of Corleone and Marineo (Italy)

The current exploitation of freshwater, as well as the significant increase in sewage sludge production from wastewater treatment plants (WWTPs), represent nowadays a critical issue for the implementation of sustainable development consistent with the circular economy concept. There is an urgent need to rethink the concept of WWTPs from the conventional approach consisting in pollutant removal plants to water resource recovery facilities (WRRFs). The aim of this paper is to provide an overview of the demonstration case studies at the Marineo and Corleone WRRFs in Sicily (IT), with the final aim showing the effectiveness of the resources recovery systems, as well as the importance of plant optimization to reduce greenhouse gas (GHG) emissions from WRRFs. This study is part of the H2020 European Project “Achieving wider uptake of water-smart solutions—Wider-Uptake”, which final aim is to demonstrate the water-smart solution feasibility in the wastewater sector. The main project goal is to overcome the existing barriers that hamper the transition to circularity through the implementation of a governance analysis tool. The preliminary actions in the two demonstration cases are first presented, while, subsequently, the water-smart solutions to be implemented are thoroughly described, highlighting their roles in the transition process. The achieved preliminary results underlined the significant potential of WRRF application, a great chance to demonstrate the feasibility of innovative solutions in the wastewater sector to overcome the existing social, administrative and technical barriers.

Modeling the Smart Factory Manufacturing Products Characteristics: The Perspective of Energy Consumption

Economic progress is built on the foundation of energy. In the industrial sector, smart factory energy consumption analysis and forecasts are crucial for improving energy consumption rates and also for creating profits. The importance of energy analysis and forecasting in an industrial environment is increasing speedily. It is a great chance to provide a technical boost to smart factories looking to reduce energy usage and produce more profit through the control and optimization modeling. It is tough to analyze energy usage and make accurate estimations of industrial energy consumption. Consequently, this study examines monthly energy consumption to identify the discrepancy between energy usages and energy needs. It depicts the link between energy consumption, demand, and various industrial goods by pattern recognition. The correlation technique is utilized in this study to figure out the link between energy usage and the weight of various materials used in product manufacturing. Next, we use the moving average approach to calculate the monthly and weekly moving averages of energy usages. The use of data-mining techniques to estimate energy consumption rates based on production is increasingly prevalent. This study uses the autoregressive integrated moving average (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) to compare the actual data with forecasting data curves to enhance energy utilization. The Root Mean Square Error (RMSE) performance evaluation result for ARIMA and SARIMA is 8.70 and 10.90, respectively. Eventually, the Variable Important technique determines the smart factory’s most essential product to enhance the energy utilization rate and obtain profitable items for the smart factory.

A Comprehensive Insight into Fungal Enzymes: Structure, Classification, and Their Role in Mankind’s Challenges

Enzymes have played a crucial role in mankind’s challenges to use different types of biological systems for a diversity of applications. They are proteins that break down and convert complicated compounds to produce simple products. Fungal enzymes are compatible, efficient, and proper products for many uses in medicinal requests, industrial processing, bioremediation purposes, and agricultural applications. Fungal enzymes have appropriate stability to give manufactured products suitable shelf life, affordable cost, and approved demands. Fungal enzymes have been used from ancient times to today in many industries, including baking, brewing, cheese making, antibiotics production, and commodities manufacturing, such as linen and leather. Furthermore, they also are used in other fields such as paper production, detergent, the textile industry, and in drinks and food technology in products manufacturing ranging from tea and coffee to fruit juice and wine. Recently, fungi have been used for the production of more than 50% of the needed enzymes. Fungi can produce different types of enzymes extracellularly, which gives a great chance for producing in large amounts with low cost and easy viability in purified forms using simple purification methods. In the present review, a comprehensive trial has been advanced to elaborate on the different types and structures of fungal enzymes as well as the current status of the uses of fungal enzymes in various applications.

Perception of Patriotism by Schoolchildren of the Siberian Federal District

In 2020, the actualizing of another Government program called Patriotic education of Russian Federation citizens has been fulfilled. The main subject of the program is school students, as the Analysis of their idea of patriotism provides us with a Great chance to evaluate the effectiveness of patriotic education in Russian Federation, as well as to find the dominating idea of a citizen in minds of the Youth. In this article, based on Data coming from a mass Survey of senior school students from Siberian Federal District, we define students ideas of patriotism, as well as forms of behavior, acceptable for a patriot, and finally, subjects and reasons for Russian patriotism development and establishing. It was found that the idea of patriotism among school students is quite stereotypical with explicit retrospective, militaristic and imperial tendencies. There is also a correlation between patriotic identity and national identity. Thus, the school students who identify as Russians are highly patriotic, while school students with local national identity are less keen to be patriotic, according to their own words.

Learning retention in mathematics over consecutive weeks: Impact of motivated forgetting

<span>Retention is the ability to retain information in the mind, either in short-term or long-term memory. Memory in the long-term is more ideal. Thus, this has become a challenge for educators on how to transfer ideas in short-term memory to long-term memory. To concretize the effect of time on mathematics learning retention, a randomized pre-test post-test x groups design, using matched subjects was used in the study. Seven matched groups of students were identified, and took the pre-test as the basis of the initial amount of learning, after which a group of students was assigned to take the post-test every week for seven weeks. The post-tests results were the basis of the amount of retained learning of the students. The study found out that: i) The amount of retained learning among the students diminished following a negative exponential curve; ii) The amount of retained learning was comparably equal with the initial amount of learning up to the second week; iii) The amount of retained learning became incomparable with the initial amount of learning after the third week; and iv) The concepts in the knowledge level had a great chance to be remembered while the concept with analysis level was prone to motivated forgetting.</span>

Shadow Program Committee Initiative

The Shadow Program Committee (PC) is an initiative/program that provides an opportunity to Early-Career Researchers (ECRs), i.e., PhD students, postdocs, new faculty members, and industry practitioners, who have not been in a PC, to learn rst-hand about the peer-review process of the technical track at Software Engi- neering (SE) conferences. This program aims to train the next generation of PC members as well as to allow ECRs to be recog- nized and embedded in the research community. By participating in this program, ECRs will have a great chance i) to gain expe- rience about the reviewing process including the restrictions and ethical standards of the academic peer-review process; ii) to be mentored by senior researchers on how to write a good review; and iii) to create a network with other ECRs and senior researchers (i.e., Shadow PC advisors). The Shadow PC program was rst introduced to the SE research community at the Mining Software Repositories (MSR) confer- ence in 2021. The program was led by Patanamon Thongta- nunam and Ayushi Rastogi (Shadow PC Co-chairs) with support from Shadow PC Advisor Co-Chairs (Foutse Khomh and Serge Demeyer), PC Co-Chairs of the technical track (Meiyappan Na- gappan and Kelly Blincoe), and the General Chair of the con- ference, Gregorio Robles. To promote and facilitate the Shadow PC program at SE conferences in the future, this report provides details about the process and a re ection on the Shadow PC pro- gram during MSR2021. The presentation slides and video are also available online at https://youtu.be/ReUXwmtIEk8.

In Silico Study of Vacuolin-1 as an Inhibitor of HSP27 for Precancerous Treatment of Breast Cancer

Breast cancer has a great chance of being cured if it is diagnosed and treated properly in its early stage. The pre-cancer stage is an early stage of cancer development characterized by the overexpression of HSP27. Therefore, HSP27 can be a therapeutic target of cancer. This study aims to analyze whether vacuolin-1, a small drug compound known for its ability to inhibit metastasis, can inhibit HSP27 to prevent precancerous development in breast cancer, as well as its ADME and biosafety aspects. Protein & ligand structures were obtained from RCSB PDB and PubChem database. Preparation was performed with Discovery Studio and PyRx. Drug-likeness/ADME analysis was performed in Swiss-ADME web server. Biosafety analysis was performed in MetaTox web server. Molecular docking was performed using PyRx. The visualization of docking results was performed using Discovery Studio. The docking result between vacuolin-1 and HSP27 showed that vacuolin-1 can act as an HSP27 inhibitor by interacting with S78 residue of HSP27 and blocking its phosphorylation as well as depolymerization process. The drug-likeness characterization result of this compound showed that vacuolin-1 violates one of the four Lipinski's Rule of Five. Biosafety analysis showed that vacuolin-1 has a low toxicity level with an estimated LD50 around 13,016.65 mg/kg.

Plant Microrna Potential in Targeting COVID-19 Genome Offering Efficient Antiviral Mirna-based Therapies

In 2019, the seventh member of the Coronaviridae named severe acute respiratory coronavirus II (or COVID-19) emerged in Wuhan, China. It could rapidly turn into a global pandemic. Therefore, searching for a natural/ novel therapy is urgently essential to prevent disease distribution. Based on the principle of cross-kingdom interaction, plants are a candidate as a potential source of exogenous miRNAs that can efficiently affect the host cell gene expression by promote target mRNA degradation or repress protein translation, and, or virus RNA translation/replication. The possibility of taking up the diet-derived plant-originated/artificially miRNA(s) in addition to their biological role in the host provides a pivotal clue for the study of synthesized/artificially expressed active therapeutic plant-originated miRNA(s) to promote antiviral activity. In this study, plant miRNAs, which can potentially interact with the COVID-19 genome within the 3’-UTR region and prompt antiviral function, were searched using bioinformatics approaches. RNAHybrid, RNA22, and STarMir miRNA/target detection tools were served for the possible plant miRNA/target recognition on the 3’-UTR flanking region of the COVID-19 genome by different algorithms. The RNAHybrid algorithm resulted in 63 plant miRNAs having hybridization energy with less or equal to -25 kcal/mol. They interact with diverse classes of miRNA/target binding patterns. However, each RNA22 and STarMir tools identified eight probable miRNA/target interaction candidates, in which pvu-miR159a.2 and sbi-miR5387b detected by both the RNA22 and STarMir tools at the same position. For us, they are suitable plant-derived miRNA candidates, which have the great chance of targeting the COVID-19 genome in the 3’-UTR region in vitro to induce the virus degradation and translational repression and for antiviral miRNA-based therapies without any side effects in vivo.

Perspectives on the implementation of differentiated teaching (on the example of teaching mathematics at the elementary level)

Student-centered learning is unimaginable without the implementation of differentiated approaches. We can find out a number of publications and articles about this subject. The American professor Carol Ann Tomlinson has quite important articles on differentiated teaching from contemporaries. In his work, Tomlinson discusses in detail and in depth the essence of differentiated teaching as one of the effective approaches and the principles of its implementation. However, a number of issues (why is differentiated learning so important and relevant? What makes it relevant?) Still require a good understanding in order to successfully implement this approach when teaching a particular subject. These issues are discussed in the article on the example of teaching elementary school mathematics and clarifies the perspectives of using a differentiated approach in these areas. Differentiated learning is fully suited to student-centered learning, as it implements a learning process focused on the needs, skills and abilities of each student (group of students). According to Tomlinson, differentiated learning is constructed and implemented to take into account the readiness, interests and learning profile of students to create optimal conditions for development for each of them. This is one of the best ways to implement an individual approach to students.Providing a learning process tailored to the needs of the students and teacher feedback on the needs of the students include teacher activities in a number of areas. Tonlimson and Mooney consider new opportunities for students, a sense of partnership, expectations, and training for quality learning significantly; Which contributes to class success and student growth. The condition for facilitating is the active involvement of students in the learning process, their cooperation;The essence of the issue is clarified in the article on the example of a mathematics course, how we can apply this approach in the teaching-learning process and why it is extremely valuable to implement differentiated teaching from the elementary level. This need is explained in relation to the specifics of teaching mathematics as a school subject. The "technology" of differentiated teaching, the essence of differentiation based on student readiness, as well as what the subject of differentiation includes are discussed in detail. Differentiation of each component according to the individual components of the curriculum (content, process, product) is discussed with specific examples. With the help of different types of tasks it is possible to use the possibilities and perspectives of differentiation in teaching mathematics at the elementary level. Some recommendations in this regard are offered. The issue discussed in the article concludes that the purposeful use of differentiation from the elementary level gives a great chance for the multifaceted development of students, which is accompanied by the results of successful teaching in mathematics.

Sustainable Mobility in a Tier Two Indian City: A Focus on Gwalior City

Cities are the focal point of Coronavirus outbreak. People in cities are experiencing the reality of less travel and a shift in activity to the internet. This is a great chance to reassess our work, leisure and retail habits, as well as to debate the necessity of fostering affordable and sustainable travel for everybody. Lower greenhouse gas emissions, which contribute to a cleaner climate, will result in significant public health advantages as a result of action toward sustainable mobility. This paper is an attempt to identify strategies that will aid in the development of an efficient, environmentally viable transportation system that can function within the existing fabric of the city of Gwalior. Keywords: Pandemic, sustainable mobility, non-motorized transportation