LC International Journal of STEM (ISSN: 2708-7123)
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Stressors and Coping Mechanisms of the Children of Abra Bahay Pag-asa
Get PDFThis study was designed to determine the profile, the stressors and coping mechanisms of the 18 children of Abra Bahay Pag-asa during this pandemic. The qualitative method of research was utilized. An interview schedule was used to elicit the needed data in this study. The interviews were done via the Zoom platform. The data gathered were presented and treated using thematic analysis through the generation of codes and themes for the final write-up. The study revealed that almost all the children are teenagers, most of them are enrolled in the Senior High School and College levels and most of their case category is rape. Moreover, the children experienced several stressors particularly about the status of their cases, the situation of their families back home, their modular learning, and their mutual relationships. Nevertheless, the children employed active and positive coping mechanisms to alleviate their worries. Specifically, these were performing productive tasks, engaging in recreational activities, seeking social support, and spiritual activities. As a recommendation, Abra State Institute of Sciences and Technology through the College of Teacher Education may establish a linkage with the Provincial Government of Abra through and Extension Program on juvenile empowerment for the children of Abra Bahay Pag-asa to include literacy and numeracy; arts and music; life skills training; mental health and stress management. Additionally, other studies may be conducted again among the children to look into other aspects or factors on their personality development and rehabilitation process
Projector Light Control And Fuzzy Based Control For EDOC In Electric Vehicle For Two Wheelers
Get PDFProjector light control mainly focus on the battery management in an e-vehicle. This provides a long time journey without any unnecessary wastage of the battery. This may be used in all sort of e-vehicle. The system can replace the hardware components of the Electric vehicles in Two wheelers and does not need extra equipment. The size and volume EDOC is reducedTo control electric drive onboard converter (EDOC) using Fuzzy in the DC (battery) side. To automate the projector light in an E-vehicle for two wheeler to reduce the battery consumptio
Ticks in Cattle: Their Importance and Chemical and Treatment Control
Get PDFTicks transfer diseases to animals and humans. Ticks create major financial losses to livestock and have a variation of adverse special effects on cattle hosts. Tick working as possible vectors for helminth parasites and haemoprotozoa cause blood loss directly. Large numbers of tick’s drinking red blood induce anaemia and decreased living weight in cattle animals, even though their bites can damage the skins. Ticks, are answerable for important financial losses due to their potential to transmit rickettsial, viral infections and protozoan to cattles. Here are a variety of ticks-control tactics available, but then again each has its own set of problems. The importance of ticks and their control are the topic of this review. Ticks have controlled by the help of vaccine and spray or chemicals compounds etc
An Interface of Classroom Examination Practices and the Success for Licensure Examination for Teachers
Get PDFTo be of significance to nation building, a prospective teacher needs to pass the licensure examination for teachers, as prescribed by law under the “Philippine Professionalization Act of 1994.” In line with this, the Abra State Institute of Sciences and Technology is undertaking efforts in delivering quality education by requiring its faculty to comply with the highest standards of educational qualification as it recognizes the role of teachers in facilitating students’ learning.
A self-constructed questionnaire was used to gather data consisting of open-ended question form enquiring how students prepare themselves for the examinations and the practices of the teachers before, during and after the examinations. To clarify answers not clearly stated, interviews were conducted. The 68 third year Bachelor of Secondary Education (BSEd) for the SY 2018-2019 were chosen as respondents. Data gathered were analysed using the thematic analysis approach.
Findings show that the respondents prepare themselves spiritually, physically and mentally for the examinations. Teachers make necessary class preparations before the examinations except those who included items in the test not covered in class, which may affect students’ test attitudes ultimately result to unfavorable performance in the LET.
It is recommended that teachers create test questions that follow the LET format so that students become familiar with the setup. This may also develop the students’ test-taking skills while studying to ensure better performance in the LET
An Efficient Framework for Classifying Novel Corona Cases based on Machine Learning and Data Mining Techniques
Get PDFHospitals with the disease of coronavirus (COVID) are always at risk of dying. COVID hospitalized patients may benefit from the application of machine learning and data mining techniques to predict their death. Therefore, the purpose of this paper was to evaluate many machine learning and data mining algorithms to COVID mortality prediction utilizing patient data at the time of first admission and select the algorithm that performs best as a decision-making tool. Its signs and symptoms resemble those of the regular flu consisting fever, cough, shortness of breath, fatigue, and muscle pain. This paper proposed running the most important algorithms from data mining and machine learning such as naïve bayes, models of decision tree (ID3 and C4.5), support vector machine, and logistic regression to classify corona cases. To test the proposed framework, the confusion matrix has been used. From the confusion matrix the important performance measures have been computed such as accuracy, recall, precision, balance accuracy, and AUC. The experimental findings of this paper supported the notion that the supported vector machine algorithm had good performance and high accuracy in classifying corona disease
Role of Information and Communication Technology to Improve Instruction in Special Education Institutions
Get PDFInformation and Communication Technology (ICT) is used in special educational institutes by teachers for instruction. The need and importance of ICT enhanced during the covid-19 era. The objectives of the study were; 1) to investigate the teachers’ perception about the role of information and communication technology to improve instruction in special education, 2) To ascertain the present condition of the usage of information and communication technology in special educational institutions. A quantitative survey design was employed to conduct the study. The researchers themself comprised closed-ended statements and open-ended questions to analyze the teachers’ perception structured a questionnaire. Questionnaire validated through expert opinion and pilot testing. A questionnaire was distributed through social media i.e. WhatsApp and facebook in form of Google form. The responses of 30 national and international teachers were gained. Quantitative data were analyzed through statistical techniques i.e. frequency count and percentage. Qualitative data were analyzed through thematic analysis. Results revealed that teachers perceived a significant role of ICT to improve instruction in special education. Many special education teachers argued that they are using different modes of ICT i.e. multimedia, projector, smart mobile, different videos, and simulations and it is helpful in instruction. Special learners take an interest and learn better through ICT. Moreover, special education teachers claimed that ICT saves time for teaches. Further research may be conducted through observational designs or mixed methods research designs
Enhancing the Teaching Style of Faculty and Learning Preferences of Teacher Education Students: The Way Forward
Get PDFThis study aimed to determine the different teaching style of faculty and to determine the type of learners the College of Teacher Education students are according to their learning style preferences and strategies.
This study used the descriptive-survey type of research. The teaching styles of faculty were determined utilizing the Teaching Style Inventory by Rita Dunn and Kenneth Dunn (1999) which consists of six categories namely: 1) instructional planning, 2) teaching methods, 3) teaching environment which includes student groupings and room design, 4) evaluation techniques, 5) teaching characteristics, and, 6) educational philosophy. The Learning Style and Strategies Inventory of Felder and Solomon (2003) was used.
The faculty respondents were the 23 full time faculty of the college and a total enumeration of the 671 BEED and BSED students in all year levels. Results show that the faculty are transitional in all the six categories. Nobody is found traditional, but the group hasn’t reached the most ideal teaching style – the individualized. The students are found moderate active learners but extremely sensing learners. They are well-balanced as visual/verbal learners and as sequential/global learners.
The following are concluded: Faculty is not yet fully academically equipped with skills and competencies for an individualized teaching style. Students favor a learning environment provided with activities, visual aids, concrete examples, and a clear step by step explanation of lessons.
It is recommended that the faculty should attend in-service trainings to enhance their capability in preparing syllabi that favor the learning preferences and strategies of students
QR Code Tracker to Magnify Business Intelligence in Real Estate Marketing Deployed with Cloud Computing with SMs
Get PDFQR codes aren't really a brand-new idea. This box and cylinder embedded technology by Denis Wave was initially used as a means of tracking. Businesses across all industries, on the other hand, are coming up with creative and useful applications for them. (July 16, 2021, De Grayer) digital advertising, marketing, and interacting with affiliated audiences are among the most popular. In an otherwise saturated business, using QR codes for your real estate information might help you stand out. It may especially assist you in increasing prospect engagement and generating more leads. A QR code is a handy, very adaptable graphic that can be scanned and used in a variety of ways. It makes it simple to provide consumers more information than can fit on a single sheet of paper. It also shows how to effectively transfer offline conversations Online, whether by phone, email, text, or a website.
Various organizations have begun to employ two-dimensional bar codes, also called QR (quick response) code, to encode information, like that URLs that can be recited by devices, arithmetical tablets, and other electronic devices in recent years. In this codes might be used to elicit a customer response or a certain activity. Their major advantage is that they relieve smartphone users of the tiresome effort of inputting and searching for information.
Henceforth fluctuation in prices with old and upcoming can be store with this code for comparison easily which will be a great assist for price predictors. Instead of textual this graphical representation easily accessed via mobile aperture rather than a special textual readers. Landing maps of various societies store with in this QR code to understand the development and exact status of the development in societies with implementation of this QR code, less interaction with the paper work for flyers, brochures and hardcore but personal devices may access these codes via one scan and detect of web page automatically. Even quickly share in groups and at personal devices.
Consequently, if QR code generated at WhatsApp for direct contact to designated generate message at user side. Engraved QR codes at the files with various dynamic colors at the files of lands data to maintain and fetching back the prescribed data increase the access of information and ensures the corruption free liabilities maintaining separate databases with SQL injections and subcategories the data for the clients and administrative to rehearse at advance
Traffic Participants Detection and Classification Using YOLO Neural Network
Get PDFOne of the most important requirements for the next generation of traffic monitoring systems, autonomous driving technology and Advanced Driving Assistance Systems (ADAS) is the detection and classification of traffic participants. Although in the areas of object detection and classification research, tremendous progress has been made, we focused on a specific task of detecting and classifying traffic participants from traffic scenarios. In our work, we have chosen a Deep Convolutional Neural Networks – YOLOv4 (You Only Look Once Version 4), a object detection algorithm to detect and classify traffic participants accurately with fast speed. The main contribution of our work included: firstly, we generate a custom image dataset of traffic participants (Car, Bus, Truck, Pedestrian, Traffic light, Traffic sign, Vehicle registration plate, Motorcycle, Ambulance, Bicycle wheel). After that, we run K-means clustering on the dataset to design an anchor box that is utilized to adapt to various small and medium scale. Finally, we train the network for the mentioned objects and test it in several driving conditions (including daylight, low light, high traffic, foggy, rainy environment). The results showed cutting-edge performance with a mean Average Precision (mAP) of up to 65.95% and a speed of about 54 ms
Analysis Of Sensors Used to Make Smart Homes
Get PDFOne of the most widely used Internet of Things applications is home automation. There has been a huge shift in the way humans live their lives, making it easier and more beautiful. It aids in the discovery of easy answers to a wide range of difficult problems. Every application of home automation is linked to the others through the Internet. All of these applications are interconnected through sensors. These sensors can be used to operate a variety of devices, including doors, fans, lights, gas, televisions, refrigerators, and air conditioning. As a result, there is no requirement for human intervention. Our homes have become exceedingly safe thanks to the use of sensors. So that if there is an accident, we will be able to detect it from a long distance without difficulty. It is also capable of preventing unintended mishaps with the use of this technology. The most important thing to understand is which sensors will be used to create this smart house. Aspects such as finances are taken into consideration so that we can use the sensors to build smart houses as needed. This paper describes a technique for smart home automation that is low-cost and wireless, and it makes use of several types of sensors and the Internet of Things to accomplish this. Following extensive investigation, we develop a viable prototype. Specifically, we are interested in suggestions about what types of sensors are utilized to create a smart house, how much they cost, and a thorough understanding of how the sensors are used for various purposes