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The Trend of High Consumption of Fast Foods and Its Impact on Families, Individuals, and Societies
Full text linkFast-food consumption has become a global trend in many nations over the last several decades, with people eating meals outside of the home or at home using takeaway or home delivery services provided by food stores. Several studies have found that when compared to children or adults, young adults consume the highest rate of fast foods. Despite the fact that eating fast food is not gender-specific, several studies have found that men consume more fast food than women. Other characteristics include age restrictions, the atmosphere, fast food outlet location, food availability, family eating patterns, and a race/ethnic minority-based location; psychosocial aspects such as fast food variety, an occasion for consuming junk foods, fast food desire, and fast food convenience; and psychosocial aspects such as fast food variety, an occasion for consuming junk foods, fast food desire, and fast food convenience. Processed foods have a large variety of negative health consequences. Overweight/ obesity, heart disease & strokes, diabetes mellitus, cancer, early death, metabolic syndrome, hypertriglyceridemia; mental health problems: depression, psychiatric distress, and violent behavior are all long-term factors. Junk food consumption has been proven in several studies to alter metabolism, diminish muscle strength, promote inflammation, and raise the risk of allergies, asthma, poor indigestion, and constipation in the short term. Fast food consumption is also influenced by social factors such as household poverty and food insecurity. Fast food has a lot of positives, including the fact that it takes less time to prepare, is a better option than skipping a meal, is economical, provides a variety of selections, and creates a large number of job chances. The research revealed a number of flaws that may be addressed in future studies, and the nutrients in fast foods could be considered for the world's future population and future health intervention programs to reduce negative health effects
CovidXplus-A New Mobile Application for Image-Guided Diagnosis of COVID-19 Patients
Full text linkPatients with unexplained pneumonia were discovered in Wuhan City, China, at the end of 2019, according to the World Health Organization (WHO). Chinese authorities announced on January 2020 that they discovered a new virus that causes these infections. That's why the virus was assigned the name of novel Coronavirus Disease 2019 (COVID-19). It is a new disease that affects the lungs and airways and can cause mild to severe illness, as well as pneumonia. Coronaviruses are a wide family of viruses that can infect both animals and humans. Extreme Acute Respiratory Syndrome 2 is the most recent Coronavirus to be discovered (SARS-CoV-2). According to the results, the virus spreads from person to person in close contact over a distance of about 2 meters. When someone coughs or sneezes, respiratory droplets are released, which spread the virus. As a result, we need to build an application that allows use of computer-aided diagnosis (CAD) systems for detection of the COVID-19 based on radiological techniques. This paper proposes a novel mobile application based on fine-tuned transfer learning models to boost the efficiency of CAD systems in the detection of the highly suspected COVID-19 patients using medical X-ray images. Three fine-tuned deep learning models, namely ResNet50, ResNet101, and ResNet152 are exploited in this study
Polynomial Commitment-Based Zero-Knowledge Proof Schemes: A Brief Review
Full text linkBlockchain technology is one of the most popular information technologies at present, and its security features are realized through various cryptographic tools. Zero-knowledge proofs are such a tool that can increase data security and improve users’ privacy, and zero-knowledge proof schemes constructed with polynomial commitments have advantages in terms of verification time and proof size. Benefiting from the development of blockchain technology, zero-knowledge proof has also ushered in rapid development. This paper analyzes the research status of zero-knowledge proof schemes based on polynomial commitment construction, and introduces the construction and security of polynomial commitments. Finally, blockchain and some other potential commitment schemes that can be used for zero-knowledge proofs and blockchain construction are introduced as future research directions and engineering applications
Review About Using Limited Organic Wastes in Composting: Comparison Between Few Numbers of the Parameters and the Concentrations of Heavy Metals and NPK Nutrients
Full text linkThis paper reviewed studies about the composting process of different types of organic wastes. These wastes can be produced from different sources such as kitchen waste, Municipal solid waste (MSW), human waste, animal waste, agricultural waste, sewage waste, and slaughterhouse waste. The improper management of these wastes can lead to many environmental problems. These wastes can be disposed be many methods, but the best method we can use to overcome these environmental problems is composting because its cheap, effective in organic wastes decomposition. Composting process can be used to degrade all kinds of organic wastes without any exception such as plants, vegetables, fruits, and others. The product (compost) has many uses such as soil conditioner, nutrients for crops, and can be used as contributor in environmental management. However, there are many factors that affect the quality and the efficiency of the compost, which are pH, temperature, moisture content and carbon nitrogen ratio (C:N ratio). By the way using different types of organic wastes means different types and concentrations of heavy metals and different concentrations of the main and the most common macro nutrients exist in fertilizers (N, P, K). The presence of heave metals gives an indication of the most suitable way that we can use to add compost to soil without any negative effect
Python Based User Interactive Voice Bot
Full text linkIn this paper, a python-based voice bot is proposed which is able to give answers to any question of the user and it should be able to follow commands of the user. AI is the main area of creating intelligent machines, particularly computer programs. It is related to the well-known task of employing computers to comprehend human intelligence. This paper provides an outline of the concept of a personal assistant for Windows-based platforms. The system is inspired by virtual assistants such as Siri for iOS and Cortana for Windows. It has been intended for performing a variety of operations by utilizing well-defined commands. This work focuses on assisting end-users with day-to-day activities such as searching questions on Google, general conversation with the user, searching for YouTube or other websites, automatic keyboard and mouse handling, sending mail, mathematical calculations, opening applications and files on the PC, clicking photos, and many more tasks. Machine learning is used to assess user statements/commands to provide the best solution
Molecular Detection of Class 1 Integron Gene and Antibiotics Susceptibility Patterns of Pseudomonas Species Isolated from Clinical Specimens
Full text linkPseudomonas species is a common cause of health care acquired infection and also stand in second place in WHO critical list for antimicrobial resistance. Acquisition of antibiotic resistance gene in pathogenic bacteria has been a growing problem worldwide. The presence of resistance gene in class 1 integrons is associated with multi- drug resistance among Pseudomonas species. This study aimed to detect the class 1 integron and antibiotic susceptibility patterns of Pseudomonas species isolated from clinical specimens at No. (1) Defence Services General Hospital (1000-bedded) during the period of January to September 2020. The hospital and laboratory based descriptive study was conducted among the clinical samples received at Microbiology laboratory. Isolation, identification and antimicrobial susceptibility testing were performed by Vitek 2 automated systems. All Pseudomonas species were tested for the presence of class 1 integron by PCR. In this study, 77 Pseudomonas species isolated from various clinical specimens. According to the finding, the most common resistance was observed towards cefotaxime (97.4%), while resistance to amikacin was less observed among isolates (22%). Out of 77 Pseudomonas species isolates, 54 (70%) were multidrug resistant (MDR) according to CLSI 2020 guidelines. Among the multidrug resistance, 38 (95%) isolates were class 1 integron positive (p<0.001) and 16 (43.24%) were class 1 integron negative (p<0.001). Therefore, this finding indicates the strong association between the presence of class 1 integron and multidrug resistance. Therefore, integrons play an important role in acquisition and dissemination of antibiotics resistance genes among Pseudomonas species
Lived Experiences of Parents in the Implementation of Learning Distance Modality: An Action Research
Full text linkThe sudden widespread of the COVID-19 pandemic alarms and threatens the education system. This has become one of the biggest challenges most parents are dealing with. The study aimed to evaluate the lived experiences of Grade Four Quartz parents of Libertad Central Elementary School, School Year 2020-2021 in the implementation of Learning Distance Modality and come up with a Psychosocial Support Program Intervention that could help them, as teacher - partners in the delivery of education through the Learning Distance Modality successfully. A pure qualitative design of research was employed. A set of five questions were asked to gather data as basis for intervention with the parents. The result of the data show that as teacher-partners in the delivery of education in Learning Distance Modality, they lay the following facilitating factors: they spend more time with their child; they bond, enjoy, and have fun with the child; they know the learning capability of the children; and they also learn since they study the lessons first before teaching their children. The hindering factors that come out which serve as challenge to them are: the attitudes and behaviors of the pupils, some topics are not known to parents and difficult for them to explain to their child, some Mathematical problems and equations are confusing because some parents are undergraduates, the time constraints for working parents, and lack of learning resources. With these, parents have adapted measures to cope up the new normal learning delivery through the use of technology
The Third Dose of the SARS-CoV-2 Vaccine: Why and for Whom?
Full text linkThe authors of this brief commentary give an update on the results of the last studies on the antibody response to the so-called “booster” administration of the Severe Acute Respiratory Syndrome (SARS)-CoronaVirus (CoV)-2 vaccines, with particular reference to the new “omicron” variant. A brief overview of the immunological response to this infection is also provided, with the advise that a serological test before the third dose of the vaccine is not recommended, as stated by the Food and Drug Administration (FDA)
Peer Tutoring on Enhancement of Mathematics Performance of Selected Grade 6 Students at Gregorio Herradura Elementary School, Victoria, Laguna, Philippines
Full text linkPeer tutoring is a learning method that entails student partnerships that pair good students with lower achievers or pupils with comparable achievement for systematic reading and math study times. The main purpose of this study is to determine the problems of selected grade 6 students in mathematics that would help the students enhance their academic performance in the subject. The data gathering will be done by selecting grade 6 students, both female and male, with separate results from the conducted pretest and posttest questionnaires. Other students who do not fall into the category are not included in the collection of information. The only purpose of this study is to achieve its goal, and it won't investigate anything else. After using dependent T test at the scores of the students after pretest and posttest, we got a computed value (T Value) of -5.6803. With a critical value of -2.0195, we can reject the null hypothesis and conclude that peer tutoring can bring a significant difference to the combined result of critical thinking and problem-solving test. The finding suggests that school heads and classroom teachers may use "peer tutoring" as a learning method for helping the learners improve their performance in mathematics. The school and the classroom teachers may use peer tutoring as a learning method that entails student partnerships that pair good students with lower achievers or pupils with comparable achievement for systematic reading and math study times
A Survey on Concepts, Frameworks, and Key Technologies for IoT-enabled Smart Cities
Full text linkSmart cities have progressed substantially in recent years, by dramatically increasing their potential. In fact, rapid innovations in the Internet of Things (IoT) have opened up new possibilities, serving as a collection of essential technological solutions for smart cities and allowing the creation and automation of innovative features and advanced applications for numerous local stakeholders. The focus of this research is to highlight the main trends and open issues of implementing IoT technologies for the development of effective and resilient smart cities by reviewing the research literatures on IoT-enabled smart cities. This paper begins with a survey of the key technologies proposed in the literature for the implementation of IoT frameworks, followed by a review of the main smart city approaches and frameworks, based on an eight-domain classification that expands on the traditional six-domain classification used in most related works