bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancement of collaborative filtering using myers-briggs type indicator (mbti) applied in recommendation system
Authors: Arvin Jay C Nadal  , Angelo S Reyes  , Mark Christoper R Blanco  , Antolin J Alipio  , Dan Michael A Cortez
Published: August 2022

Collaborative filtering is one of the most popular recommender systems being used today. Collaborative filtering algorithm depends on the association of one client's activity with another client's activity to discover his nearest neighbors. Related items are expected to be recommended according to his neighbor's similar interests or inclinations. Collaborative filtering algorithm deals with a major problem called the new user challenge or also known as the ‘cold-start’ problem that arises due to the lack of enough information about the new-coming user. The authors have employed an enhanced collaborative filtering algorithm by incorporating Myers-Briggs Type Indicator or MBTI. With the means of identifying each users MBTI personality types to create neighbourhoods, the researchers have alleviated the problem on the lack of similarities between inexperienced users to existing users. In addition, the system can predict new user ratings for each item using the average rating of users in the same neighbourhood. After predicting the rating, the item with the highest rating is recommended to inexperienced users, which provides a solution to the ‘cold-start’ problem
Analysis and prediction of crop yield and cost using machine learning approaches
Authors: Dr Mekala R  , Balachandar S  , Dr Chinnaiyan R
Published: August 2022

In world economy agriculture has own major part to improve financial stability of a country. However still we are facing many loopholes in that to develop agricultural techniques and to adopt new things to get better results. Hence still agriculture is the developing industry in many countries. Due to these problems farmers are not getting good crop productivity. To overcome from these problems first we have to predict crop yield by using latest technologies. For this here we have to use Machine Learning technology to predict crop yield from a dataset which is already stored in ( SMLT ) to get the details like Uni-variate analysis, By-vairiate analysis, Multi-vairiate analysis, Missing value treatment, Variable identification etc. To determine which algorithms are more accurate to predict crop yield, A comparative study done between Machine Learning algorithms. The best outcome shows that the effectiveness of the proposed Machine learning algorithm technique can be compared with best accuracy with calculation, precision, Recall, F1 score.
Digital document repository system of researchesutilizing search engine tools
Authors: Gracelyn T Condez
Published: August 2022

As this time of pandemic health risk is undeniable communication and technology is a very important aspect of everyday living, that is why through the use of technology we the researcher developed Contact Tracing Application using Quick Response Code and Thermal Scanner in order to help prevent the spread of the COVID 19 and to help spread health awareness to the people. This system together with the collaboration of our clients’ ideas and suggestion aims to improve the contact tracing of All for Christ Church in Tanyag, Taguig City. The purpose of this system is to trace the possible person under investigation or what we call the PUI in this case we are using a contactless thermal scanner to scan the temperature and directly send it the to the database of the system by this it lessens the work of the staff of the church as we aim for a paperless transaction.By registering to the system, it will generate a unique Quick Response code for every registry to serve as their id whenever they go to the church. The system will mean some various benefits that will be done towards certain purpose. The system is created to help fight the spread of the virus, it detects certain symptoms like high temperature and notifies the admin of the system. Many people are not aware of the risk of COVID 19 and just realized it later on that they socialized on the person with possible virus, that is why we developed the system to prevent and to aware a person if they encounter a certain person with COVID19.
Web-based accreditation with mobile data reporting and visualization
Authors: Jackelyn Trinidad
Published: August 2022

Accreditation is the formal recognition of an educational program that possesses a high level of quality based on the analysis of the merits of its educational operations in attaining its objectives and its role in the community that it serves. Institutions in Higher Education (HEIs) play a very significant role in making a country to be competitive globally through the skilled human capital resources it produces. The function is intimidating as the institution has to regularly check itself against the global standards in place and keep itself updated on the latest demands of the labor market. This is about investing in a considerable amount of resources to develop its faculty, research, and facilities. (Pacquaio et. Al; 2012)The study aimed to develop a Web-based Accreditation with  Data Reporting and Visualization for Program Accreditation. The study was for the management and monitoring of the required documents in all areas of accreditation especially in the Computer Science Program by utilizing this system. This system would assist the users to monitor the progress of each area of accreditation effectively. It is controlled by the system administrator that can add and manage user accounts, programs, and content to the system. The people assigned can upload documents in PDF (Portable Document Format) or .pdf and exchange notes with each other.The system evaluation was based on the standard set by International Standardization Organization, the ISO 25010 which was used to evaluate software products. The variables that were needed to test the system were functional suitability, usability, security, compatibility, portability, and maintainability provided in the questionnaire which would establish the credibility of this research through the scientific approach used in statistical treatment which was later interpreted and analyzed to give findings.The system was assessed by the three groups of participants, the accreditation personnel, faculty members, and IT staff that yielded mostly “highly acceptable” and “acceptable responses on the features of the system. The proponent found that there was a significant difference between the evaluations of the three groups of participants by utilizing Analysis of Variance (ANOVA); thus the null hypothesis was rejected. These features and functionalities of the system were beneficial in accreditation and complied with the international standards of software product quality in the development of systems.
Sims: a text-based information system using symmetric and asymmetric algorithm
Authors: Haidee A Viñalon  , Ariel L Tomagan
Published: August 2022

Information security is today’s everybody’s concern. Technology keeps on increasing however the issue of information theft are getting higher. The confidentiality, integrity and availability of information are being compromised and always at risk though information security are keeps on improving. This study aimed to build an information security using a text-based platform to store the data and preserved its confidentiality, integrity and availability. The study will focus on the security of information and its confidentiality, integrity, and availability. An information system was developed using Java. Once the user started to process the data, the system will automatically create a text file where data inputted from the system will be are stored. The system will generate text-based formats per user. Another text file pass dot(.) txt whew passwords are stored. The data or information are stored in different text files. The transaction data and passwords are encypted using asymmetric algorithms. Each user account should have a private key to be able to access the data. Once the user is log in to the system, user will use a public key to able to access the data. Moreover, the text files where the passwords are kept and the text files where data are stored will be encrypted using symmetric algorithm which uses a public key to all users. The researcher used descriptive research design in the project. Descriptive research is being used by the proponents to describe the assessment of the respondents in the security of an information.
Machine learning approaches for optimal prediction of liver fibrosis cruelty
Authors: Dr Mekala R  , Balachandar S  , Dr Chinnaiyan R
Published: August 2022

Noninvasive assessment of severity of liver fibrosis is crucial for understanding histology and making decisions on antiviral treatment for chronic HBV in view of the associated risks of biopsy. aimed to develop a computer-assisted assessment system for the evaluation of liver disease severity by using machine leaning classifier based on physical-layer with serum markers. The retrospective data set, including 920 patients, was used to establish Decision Tree classifier (DTC), Random Forest Classifier (RFC), Logistic Regression Classifier (LRC), and Support Vector Classifier (SVC) for liver fibrosis severity assessment. Training and testing samples account for 50% of the data set, respectively. The best indicator combinations were selected in random combinations of 24 indicators including 67 108 760 group indicators by four different machine learning classier. The resulting classifiers prospectively tested in 50% testing patients, and the sensitivity, septicity, overall accuracy, and receiver operating characteristics (ROC) were used to compare four classifiers to existed 19 models. Results show that the RFC-based classifier system, with 9 indicators, is feasible to assess severity for liver fibrosis with diagnostic accuracy (greater than 0.83) superior to existing 19 models. Additional studies based on a large data set with full serum markers and imaging information are necessary to enhance diagnostic accuracy and to expand clinical application.
Embedded solar tracking system using arduino
Authors: Mouli Chandraa B  , Mounika P  , Rani V  , Sushma P  , Sneha Latha G
Published: August 2022

This paper describes a systematic approach to building an intelligent solar Tracking system (ISTS), for improving the performance of solar panels. The ISTS is a hybrid hardware / software prototype, which automatically provides best alignment of solar panel with the sun, to get maximum output (electricity). This method is increasing power collection efficiency by developing a device that tracts the sun to keep the panel at a right angle to its rays.The Embedded solar tracking instrumentation system by using microcontroller. The system consists of Light Dependent Resistor (LDR) sensor, DC motor .Arduino UNO microcontroller is the main component for controlling the system. The solar system will track the location of the sun to ensure the solar panel is always perpendicular with the sun therefore optimizing power output. The operation of the system on sunny and bad weather condition has been presented in this paper. The solar tracking prototype has been stated for future works.
Portable rain water detecting alarm using ic 555 timer
Authors: Srikanth T  , Dhanalakshmi B  , Amuktha D  , Manikanta J  , Ramalokeswar T  , Nagaphanindhra P
Published: August 2022

Everyone wants to stay educated and productive in a world when everything is automated. Water harvesting may also be simply accomplished with the help of automation. In this article, we'll talk about the Rain Alarm project, which is quite important for rainwater gathering. The circuit detects rain by sounding an alert while you are inside the house, allowing us to take appropriate action.This project is a portable rain water detecting alarm designed to protect goods from rain while also conserving water. It uses a rain sensor and a versatile multifunctional IC 555 Timer Chip to detect rain water in rainy conditions. LED, 9V battery, rain sensor, buzzer, 1N4007 PN junction diode, NPN transistor, and other components make up the rain water detection alarm. When the rain starts falling, the rain sensor detects it and the buzzer starts blaring and the LED lights up, and it will automatically reset when the rain stops The ultimate purpose of this project is to use a rain sensor to detect rain falling, and this concept can be used in the home, irrigation field, and cottage industries.
Heat transfer analysis of hybrid nano-fluid through porous medium
Authors: Vidyanadha Babu D
Published: August 2022

The main focus of this paper is to use water based hybrid nanofluid in place of ordinary fluid in porous medium to improve thermal properties. This paper deals with the effect of MHD and chemical reaction on a hybrid nanofluid through porous medium with suction/injection. We also studied the effects of MHD, heat source, suction/injection and chemical reaction influences on a hybrid nanofluid.  Two types of nano particles namely copper (Cu) and Aluminum oxide (Al2O3) are suspended in base fluid (water) to form the hybrid nanofluid. Similarity transformations are used to change ordinary differential equations to partial equations, and then solved solved by perturbation method. Numerical investigation is carried out to test Skin friction, heat and mass transfer coefficient for different geometrical parameters.
Search and rescue optimization algorithm for combined economic and emission load dispatch
Authors: Prakash A  , Vamsi K  , Anjaneyulu D  , Manikanta A  , Ravikumar M  , Preethi B
Published: August 2022

Economic-emission load dispatch minimizes fuel cost factors and gas emissions to provide optimal performance in generation units in a power plant, ensuring demand supply. The first variable is definitive to maintain business continuity, and the second to assure compliance with environmental legislation and no environmental harm. This work investigates the application of a new computational optimization technique known as the Search and Rescue Optimization Algorithm (SAR), which improves searching capability by employing specified parameters. This algorithm has three effective parameters and works with all generators to minimize the cost and emission while satisfying the defined demand. Simulations were run on multiple IEEE test systems with varying demand values. The obtained findings were compared to each other as well as to the results of other procedures mentioned in the literature. The acquired results appear to be superior to those achieved by other metaheuristics algorithms.
Power quality improvements in a zeta conveter for brushless dc motor drives
Authors: Dr Vasudevan K  , Pilli Swapana Priya  , Katta Mounisha  , Gudise Venkata Lakshmi Narayana Reddy  , Kommuri V Naga Sai Lakshmi Sowmya  , Kummararamannagari Dheeraj`
Published: August 2022

An isolated Zeta converter is proposed as a power factor correction (PFC) converter with DC link voltage control for speed control of a induction motor (3 IM). The voltage source inverter (VSI). The proposed converter performs the PFC action and DC link voltage control in single stage using only one controller. The current multiplier approach with average current control is used for operation of the isolated Zeta converter in continuous conduction mode (CCM). A rate limiter in the reference DC link voltage is designed for the control of current and torque in 3 PHASE IM. The designed PFC converter results in an improved power quality at AC mains in a wide range of speed control and input AC voltage
Foot step power generation using piezoelectric sensors
Authors: Mouli chandra B  , Ajitha C H  , Pavan Kumar O  , Abhishek B  , Venkata Sivamani T  , Mamatha C H
Published: August 2022

Power is becoming increasingly important in today's world for all tasks. We currently have a variety of power sources, both renewable and nonrenewable, but we are still unable to meet our electricity needs. The human population is one of these resources. In this project, we generate energy by walking or jogging. Walking up and down the stairs burns calories. When people walk on steps or platforms, their weight is used to generate power. The generated energy will be stored in a battery and used for home purposes later. This method can be used in densely populated areas such as schools, colleges, temples, movie theatres, and other places where people walk around all day. When applied, piezoelectric sensors in the control mechanism convert pressure into electrical energy. Walking on the floor generates energy that is both noiseless and pollution-free. This technology's energy can be used to charge mobile phones, laptop computers, and other electronic devices.
Touchless door bell for post-covid
Authors: Mouli Chandra B  , Sravani B  , Moulika C  , Sai Sri Komali D  , Vani Gayathri P  , Prudhvi M
Published: August 2022

Covid-19 has created a havoc in people. It is increasing day by day throughout the world. As it is been said “prevention is better than cure”,we need to search for prevention methods. We can prevent corona by following some of the preventive methods such as social distancing, avoiding surface contact, washing hands frequently and wearing mask. But we can not avoid some emergency visits to some homes, in that case we have to ring the doorbell of the owner to intimate him about our visit. Doorbells are one of the surfaces which are touched by number of people, this can be a hotspot for spreading of virus.This can be avoide by using this touchless doorbell. By using this touchless doorbell, we can avoid surface contact. By using an ultrasonic sensor and Arduino uno we can make the normal doorbel as  touchfree. As it is touchless we just have to put our hand in front of the sensor then the buzzer rings to intimate the owner of the house.
Low-power iot-based weather monitoring system
Authors: Prachi Bhanaria  , Jitendra Sen  , Rajeev Karothia`
Published: August 2022

This paper proposes to monitor weather of specific places on Websites and Android devices using internet of things. The communication between the devices is wireless. The protocol between the units in the design is enhanced to be suitable for most of the appliances. Weather variables such as wind speed and direction, temperature, humidity, solar radiation, soil moisture and rainfall may all be important factors in determining the course of a wide range of events. For example, agriculture has always been heavily dependent on the weather and weather forecasts, both for its control on the quality and quantity of a harvest and its effect on the farmer’s ability to work the land or to graze his stock. Water resources generally depend critically not just upon rainfall, but also other weather phenomena that together drive plant growth, photosynthesis, and evaporation. Weather monitoring is also important not just in defining the present climate, but also for detecting changes in climate and providing the data to input into models which enable us to predict future changes in our environment.
Iot based industrial automation
Authors: Dr Kannappan S  , Kanchana K  , Haritha B  , Bhavana K  , Madhu Priya T  , Lokesh G
Published: August 2022

The number of industries in a certain region is increasing year by year due to the increasing needs of people, and therefore intelligent industrialization automation can be used. Here the air quality in the industry and the number of products manufactured in the industry are monitored using gas detectors (to detect toxic or toxic gases) and IR sensors (to count the number of products manufactured) where there is no need for labor. Also to see estimated time of arrival of delivery vehicle GPS is used to get latitude, longitude and estimated time of delivery vehicle in real time. The branch of the delivery vehicle is displayed via the APP that can be built with Android Studio, this GPS is integrated in the NODE MCU. In the case of industrial fire accidents, this can be detected using the industry existing flame sensors built into the NODE MCU and the LCD screen where sprinklers are later activated.
Collision avoidance helping system for drivers
Authors: Bheema Kumar M B  , `Kusumanjali M  , LathaSree G  , Harshitha M  , Charanjyothi J  , Chandrashekhar B E
Published: August 2022

This paper is used to enhance the driver assistance system for collision avoidance. The advanced driver assistance system (ADAS) is the most innovative technology in the auto mobile industry. Our paper focuses on the problem of road mishaps. Most road accidents occur due to driver negligence. The main purpose of our paper is to propose a method to avoid such accidents using advanced technology at a low cost. We focus on the functions of collision avoidance and liquor detection to give a suitable result for all the problems. We implemented this method using the Arduino UNO, along with the required sensors. The collision avoidance can be reduced by using a cruise control system using an ultrasonic sensor. The system alerts the driver when the oncoming cars are getting too close to the front cars. Using an alcoholic sensor, we can detect the liquor detection of the driver, respectively. With all these functionalities, there is a possibility to avoid accidents. There is future scope for our method by including additional features to reduce accidents.
A cost-effective farmer support system for better yield prediction and resource management
Authors: Priyanka Prashanth Kumar  , Prajwal G A
Published: August 2022

Agriculture is a significant part of India's economy. Agriculture with technology can lead to groundbreaking improvements. Machine learning plays a significant role here, to help predict and formulate essential results. The main focus of this project is to predict and suggest suitable crops to sow in certain soil composition and climatic parameters based on existing historical data collected over years and later subjecting it to  Supervised Learning methods and Multi - Class Classification algorithms. So, we propose to create a user-friendly smartphone application that can provide a list of top crops that can be produced in a specific type of soil, and the accuracy of our system can be confirmed using a government website called "Soil Health Card," which collects data on soil composition and its related data.
Enhancement of 3-d pythocrypt using aes technique by generating the key using chitra kavya
Authors: Sumanth N  , Padmashree Anand  , Shrinidhi Holla  , Rakshatha S  , Prajwal V S  , Harshvardhan Tiwari
Published: August 2022

The research work describes an attempt to enhance the 3-D Pythocrypt algorithm using the AES Symmetric encryption technique by generating the key using an ancient approach of Chitra kavya. 3-D Pythocrypt is a new technique where we use the properties of 3-D geometric shapes to encrypt and decrypt plain text. AES encryption is a standard approach for encrypting and decrypting the message using a single key for both approaches. The ideology of this research is to first encrypt the plain text using the 3-D Pythocrypt technique and the cipher text obtained is fed as an input to the AES encryption technique along with the key generated using the Chitra kavya to carry out the encryption in two phases.
Bitcoin price prediction based on linear regression and lstm
Authors: Suneetha Rani R  , Sri Vinithri Chowdary D  , Uday Kiran C H  , Deekshith K  , Alekhya V
Published: August 2022

Forecasting can be used in many fields such as crypto currency prediction, financial entities, supermarkets etc. We get the time series date which we use to feed the data into the algorithm is given by Y finance with this we get refreshed data every day. The stock market prediction or forecasting helps customers and brokers get a brief view of how the market behaves for the coming years. Many models are currently in use Like Regression techniques, Long Short-Term Memory algorithm etc. FB Prophet is proven to perform better than most other Algorithms with better accuracy. From the proposed research and references we have determined Facebook's Prophet algorithm as our forecasting algorithm because it is predicting at better accuracy, low error rate, handles messy data, doesn’t bother for null values and better fitting.
Deep learning approach for uav-based wildfire detection and segmentation
Authors: Sreenath K  , Hemalatha Reddy G  , Venkata Ranga Reddy K  , Sneha Sandhya G  , Mahaboob Basha M D
Published: August 2022

Wildfires are a worldwide natural disaster causing important economic damages and loss of lives . Early detection and prediction of fire spread can help reduce affected areas and improve firefighting. Unmanned Aerial Vehicles were employed to tackle this problem due to their HIGH flexibility, their low-cost, and their ability to cover wide areas during the day or night. However , they are still limited by challenging problems such as small fire size, background complexity, and image degradation .To deal with the limitations, we adapted and optimized Deep Learning methods to detect wildfire at an early stage. A novel deep ensemble learning method, which combines EfficientNet-B5 and DenseNet-201 models, is proposed to identify and classify wildfire using aerial images.
A machine learning-based prediction model for preterm birth in rural areas
Authors: Jafar Ali Ibrahim S  , Prathyusha Y  , Akhila B  , Rajini M  , Naveen Sai U
Published: August 2022

Wildfires are a worldwide natural disaster causing important economic damages and loss of lives . Early detection and prediction of fire spread can help reduce affected areas and improve firefighting. Unmanned Aerial Vehicles were employed to tackle this problem due to their HIGH flexibility, their low-cost, and their ability to cover wide areas during the day or night. However , they are still limited by challenging problems such as small fire size, background complexity, and image degradation .To deal with the limitations, we adapted and optimized Deep Learning methods to detect wildfire at an early stage. A novel deep ensemble learning method, which combines EfficientNet-B5 and DenseNet-201 models, is proposed to identify and classify wildfire using aerial images.
Insulin dosage prediction system for diabetic patients
Authors: Neelam Sai Kiran  , Keerthana M  , Bhavani P  , Revanth D  , Siva Prasad P
Published: August 2022

Diabetes is a common chronic disease and poses a great threat to human health. Diabetes can lead to chronic damage and dysfunction of various tissues, especially eyes, kidneys, heart, blood vessels and nerves. To control the BGLs of diabetic patients the traditional prevention techniques such as eating healthy food and conducting physical exercise plays a major role and also taking the proper amount of insulin dosage has the crucial rule in the treatment process. The rapid development of machine learning has been applied to many aspects of medical health. We have proposed a model based on artificial neural network (ANN) to predict the proper amount of insulin needed for the diabetic patient. The proposed model was trained and tested using several patient’s data containing many factors such as weight, fast blood sugar and gender.
Plant species identification and disease detection using deep learning
Authors: Nannuri Suresh  , Nandini M  , Tejaswini B  , Srikanth C H  , Arief S D
Published: August 2022

Plant diseases affect the growth of the species and their respective crops, early identification of the plant disease prevents the losses in the yield and improves the quality and quantity of the agriculture products. Many machine learning models are used to detect the disease in the plant but, after the advancements of deep learning models, this area of research appears to have a great potential in terms of increasing accuracy.The proposed system identifies the plant species and disease of the leaf. The dataset we got from internet Kaggle is segregated and the different plant species are identified and are renamed to form a proper database then obtain test-database which consists of various plant diseases that are used for checking the accuracy of the project. Then using training data, we will train our classifier and then output will be predicted with better accuracy, we used google Net model to train the data, which consists of different layers which are used for predicting the disease.The existing system the farmers are using for the detection of diseases in the plants is that- they could be identified through the naked eye and their knowledge about plant disease. For doing so, on large number of plants is time consuming, difficult and accuracy is not good, Consulting experts is of great cost. In such kind of conditions to improve the accuracy rate and make it more beneficial suggested techniques are implemented for the detection of the diseases that makes the process cheaper and easier This review provides a comprehensive explanation of deep learning models used to visualize various plant diseases. In addition, some research gaps are identified from which to obtain greater transparency for detecting diseases in plants, even before their symptoms appear clearly.
Automated health monitoring system for premature fetus
Authors: Jafar Ali Ibrahim S  , Hemalatha D  , Pavan Kalyan V
Published: August 2022

Our research is about the premature infant Monitoring system based on wireless Technology. A prototype is developed which gives a reliable and efficient baby monitoring system that can play a significant role in providing higher kid care. This system monitor vital parameters such as body Temperature, Pulse rate, Cry Movement ,Blood oxygen level(spo2),heart rate and the physical activity of an infant and using GSM Network .GSM is an open and digital cellular technology used for transmitting mobile voice and data services operates at the 850MHZ and 1900MHZ frequency bands.   This information is transferred to their parents. Measurements of these vital parameters can be done and underneath risk, Scenario sent to the parents with SMS alert to intimate the proper control action. So that we can reduce the death of the premature fetus.
Detection of cyber attacks in network using machine learning techniques
Authors: SaiKira N  , Pradeep Naidu P D S  , Harshini K  , Venkateswarlu M  , Surya Narayana Reddy V
Published: August 2022

The development of effective techniques has been an urgent demand in the field of the cyber security community. Machine learning for cyber security has become an issue of great importance recently due to the effectiveness of machine learning in cyber security issues. This is typically accomplished by automatically collecting information from a variety of systems and network sources, and then analysing the information for possible security problems.  Our main goal is that the task of finding attacks is fundamentally different from these other applications, making it significantly harder for the intrusion detection community to employ machine learning effectively.
A REVIEW ON ELECTROCHEMICAL ADVANCED OXIDATION PROCESS TO TREAT FISH MEAL INDUSTRY
Authors: Rajagopalan V  , Raju M  , Manonmani M
Published: August 2022

Fish meal processing industries turns the raw fish into a commercially edible form. The wastewater generated from this industry consists of organic pollutants BOD,COD, Total solids, high amount of odour. Since the industry process the raw fish the wastewater has high amount of COD. Normally in the fish meal processing industry they use chemical and biological methods to treat the wastewater, by adopting these methods for treatment, high amount of sludge is produced after the treatment process is over.Again we have to find another method for disposing the sludge. By using the advanced oxidation process we can eliminate the sludge production during the treatment process. Advanced oxidation process can be done using uv/H2O2 method, ozone based AOP,photocatalytic oxidation with TiO2, electrochemical advanced oxidation process. In all the above mentioned process the pollutants are targeted using different parameters such as UV rays, H2O2, electricity. However by using hydrogen peroxide, ozone, UV the complete reaction will not take place and the intermediate products remains in the water as pollutant To overcome this problem Electrochemical oxidation method can be adopted.This method is useful in breaking the most resistant organic compound.
Checklist of Turkish Bryophyte Vegetation
Authors: ALATAŞ Mevlüt , EZER Tülay , ERATA Hüseyin , BATAN Nevzat
Published: August 2022

In this study, we present a current list of syntaxa belonging to the bryophyte vegetation of Türkiye. This checklist was compiled from the national and local literature, and includes all syntaxonomic units of bryophyte vegetation that have been newly described or reported for Türkiye to date. To date, 56 associations and 29 sub-associations belonging to 21 alliances, 14 orders, and 9 classes have been reported in Türkiye, bryosociologically. In addition, 26 phytosociological units were determined as unknown status. In the present study, syntaxonomical units were grouped according to their habitat type (aquatic, terrestrial, saxicolous, or epiphytic) and were given with their localities and synonyms.
Taking Over with Play
Authors:   , Chambati Farisayi
Published: August 2022

Play is an experience which affords people different reactions and interactions. It is an activity which is not just for children and can be intergenerational. Areas of play are vital spaces to a growing community. The use of play as a design tool can open plenty of opportunities for creating more inclusive, flexible, cohesive, and social places within a community.

This research aims to investigate how the inclusion of play and physical play elements can improve public engagement and interaction within a space and transform underutilised spaces like St Anne’s Church and School, and Mercy Park in Newtown.

St Anne’s is a Catholic church and school, and Mercy Park is a public park which is right next door to the church and school property, both are in the Wellington city suburb of Newtown. The site has a rich history, and its current use offers multiple opportunities for research. The property is private, however there is a prominent use of the space by members of the public streaming in from Mercy Park which makes the spaces have an interesting dynamic, with mixed uses occurring. It is a valuable space for the community which uses it. It opens an interesting opportunity for design research as changes over time has forced the primary users being the school and church to adapt and share their space over the years. This has also impacted how play and public interactions occur in the space.

The methods used in this research focus on combining spatial assessment, community engagement and physical installations to develop an understanding of how play can be used as a tool to improve playfulness in space and social engagement across a site. Observational studies, school workshops, and temporary built models provided the foundation of knowledge that was able to be applied to into the redevelopment design of the site.

The findings of this process were that the space had play occurring in it, however it had major opportunities to thrive and improve on the existing elements and make it even more playful. It was found through testing of the temporary physical models that the children and adults occupied the spaces in which they did not necessarily stay long in before. The design response resulted in a master plan of the site which was expanded to include Mercy Park as part of it. The design shows how play can spark new interest in the space as well as foster new and longer lasting social interactions in the space. These improvements build on the existing sense of community and playfulness of the site increasing the public engagement and overall use of the space.
Peningkatan nafsu makan pada pasien tumor kelenjar liur dengan pemberian aromaterapi lemon dan jahe
Authors: Ramadhani Nurul Putri , Kurnia Anna
Published: August 2022

Rusaknya fungsi kelenjar liur (Salivary Gland Demage) biasanya ditandai dengan adanya nyeri, ketidaknyamanan saat menelan, dan sulit mengenal rasa yang menyebabkan penurunan nafsu makan. Studi kasus ini bertujuan untuk mengetahui peningkatan nafsu makan penderita tumor kelenjar liur dengan pemberian aromaterapi lemon dan jahe. Studi kasus ini menggunakan metode deskriptif dengan pendekatan proses asuhan keperawatan. Subjek studi kasus berjumlah 2 pasien dengan kriteria pasien tumor kelenjar liur yang mengalami penurunan nafsu makan, IMT di bawah rentang normal dan mengalami penurunan berat badan selama 6 bulan terakhir. Alat ukur menggunakan kuesioner penurunan nafsu makan dengan indikator porsi makan pasien. Hasil studi kasus menunjukkan bahwa nafsu makan pasien membaik, tampak lebih bersemangat dan mukosa bibir lembab. Aromaterapi lemon dan jahe mampu meningkatkan nafsu makan pasien dengan tumor kelenjar liur yang mengalami defisit nutrisi.
Penerapan kompres air hangat untuk menurunkan suhu tubuh pada anak dengan demam typhoid
Authors: Maharningtyas Rahmalia , Setyawati Dewi
Published: August 2022

Typhoid merupakan infeksi sistemik yang disebabkan oleh Salmonella enterica serovar typhi (S typhi). Hipertermi atau demam adalah keadaan dimana seorang individu mengalami peningkatan suhu tubuh di atas 37,8oC peroral atau 38,8oC per rektal karena faktor eksternal. Demam pada anak biasanya perawat melakukan tindakan salah satunya yaitu dengan kompres air hangat. Tujuannya untuk mengetahui penurunan suhu tubuh dengan pemberian kompres air hangat. Studi kasus ini menggunakan metode deskriptif dengan mengaplikasikan kompres air hangat selama 15 menit pada daerah pembuluh darah besar seperti axila. Sampel yang diambil 2 orang dan dikelola secara bertahap dan teratur. Pengumpulan data dengan wawancara, observasi serta peran aktif dalam pemberian asuhan keperawatan. Alat yang digunakan adalah thermometer dan alat tulis. Setelah dilakukan tindakan kompres air hangat kepada 2 pasien selama 3 hari mendapatkan hasil bahwa suhu tubuh responden mengalami penurunan hingga mencapai normal. Kompres air hangat mampu menurunkan suhu tubuh pada anak dengan demam typhoid.
Meningkatkan kualitas tidur anak penderita Infeksi Saluran Pernapasan Akut dengan terapi pijat bayi
Authors: Umah Saidatul , Samiasih Amin
Published: August 2022

Proses pematangan otak terjadi ketika bayi tidur. anak yang kurang tidur akan menurunkan sistem kekebalan tubuh, sehingga anak mudah sakit. Saat ini berbagai terapi untuk mengatasi masalah tidur bayi sudah banyak dikembangkan, salah satu cara yang dapat digunakan untuk memenuhi kebutuhan tidur bayi yaitu dengan pijatan bayi yang membantu merangsang kekebalan, sehingga bisa membantu melawan infeksi. Sentuhan dan pijat pada bayi setelah kelahiran dapat memberikan jaminan adanya kontak tubuh yang berkelanjutan yang dapat mempertahankan perasaan aman pada bayi. Metode penulisan yang digunakan adalah metode deskriptif yaitu menggambarkan tentang proses keperawatan dengan memfokuskan pada salah satu masalah penting dalam kasus yang dipilih yaitu asuhan keperawatan pada anak dengan gangguan pola tidur. Kriteria responden dalam studi kasus ini yaitu anak balita usia 2 – 4 tahun. Sampel yang diambil  berjumlah 2 anak dengan dilakukan intervensi pemijatan selama 10 – 15 menit. Pengumpulan data menggunakan rekam medik, wawancara, observasi serta peran aktif dalam pemberian asuhan keperawat Responden 2 Alat yang digunakan adalah lembar observasi pemantauan tidur dan terjaga anak. Setelah dilakukan intervensi pada kedua responden dapat di gambarkan bahwasanya respon kedua anak setelah dilakukan pemijatan bayi pada ke dua anak terjadi peningkatan kualitas tidur dari sebelum dilakukan pemijatan rata-rata terjadi kenaikan 2 jam lama tidur malam dan intensitas terbangun terjadi penurunan rata-rata 2 kali saat tidur malam. Responden anak dengan masalah keperawatan gangguan pola tidur akan sangat efektif untuk meningkatkan kualitas tidur dengan intervensi pemijatan bayi yang di berikan 1 jam sebelum tidur. Aplikasi pemijatan bayi pada anak  agar bisa di terapkan pada semua responden anak yang kesulitan saat tidur.
Peningkatan Kadar Trombosit pada Pasien Anak Demam Berdarah Dengue (DBD) dengan Mengonsumsi Jus Jambu Biji Merah
Authors: Az-Zahra Aisyah Jundina , Al Jihad Much Nurkharistna
Published: August 2022

Demam Berdarah Dengue (DBD) merupakan penyakit infeksi yang disebabkan oleh virus dengue. Demam berdarah dapat mengancam apabila jumlah trombosit dibawah normal. Salah satu terapi nonfarmakologis yaitu pemberian jus jambu biji mengandung senyawa quarcentin yang tergolong flavonoid, sitokin yang berfungsi dalam pembekuan darah serta vitamin C, vitamin B1, B2 dan B6 yang berperan sebagai antioksidan untuk menjaga sistem kekebalan tubuh  terhadap infeksi virus dengue. Metode penulisan yang digunakan dalam studi kasus ini adalah metode deskriptif. Subjek studi kasus ini adalah pasien anak penderita Demam Berdarah Dengue (DBD) yang mengalami penurunan kadar trombosit. Cara pengukuran variabel dilakukan setelah mengetahui hasil dari pengambilan sampel darah. Pemberian terapi diberikan sebanyak 3 x 24 jam dengan ukuran 200ml/gelas. Hasil studi kasus menunjukkan adanya peningkatan kadar trombosit pada kedua subyek setelah diberikan jus jambu. Evaluasi selama 3 x 24 jam perawatan setelah diberikan terapi subyek I mengalami peningkatan kadar trombosit dari awal 41000/m3 menjadi 74900/mm3. Subyek II mengalami peningkatan kadar trombosit dari awal 47000/m3 menjadi 79000/mm3.Studi kasus ini membuktikan bahwa jus jambu biji dapat meningkatkan kadar trombosit pada anak penderita Demam Berdarah Dengu (DBD).Terapi ini dapat digunakan perawat di ruangan sebagai penatalaksanaan mandiri pada penderita dalam menangani penururnan trombosit secara non farmakologis.
Penurunan tekanan darah pasien hipertensi menggunakan terapi rendam kaki air hangat dengan campuran garam dan serai
Authors: Augin Alifia Ingesti , Soesanto Edy
Published: August 2022

Indonesia termasuk dalam lima besar negara dengan jumlah lanjut usia terbanyak di dunia, pada tahun 2014, jumlah penduduk lanjut usia di Indonesia sebanyak 18,781 juta jiwa dan diperkirakan pada tahun 2025 jumlahnya akan mencapai 36 juta jiwa dan hipertensi juga menjadi masalah kesehatan di Indonesia. Pengobatan hipertensi dapat dilakukan secara farmakologis dan non farmakologis. Salah satu terapi non farmakologis yang dapat digunakan untuk mengurangi hipertensi adalah dengan terapi rendam air hangat dengan campuran garam dan serai. Studi ini bertujuan untuk mengetahui Terapi Rendam Kaki Air Hangat Dengan Campuran Garam Dan Serai Terhadap Penurunan Tekanan Darah Pada Penderita Hipertensi. Metode yang digunakan adalah desain deskriptif dengan studi kasus asuhan keperawatan menggunakan terapi rendam kaki air hangat dengan campuran garam dan serai pada pasien hipertensi. Responden yang diambil sebanyak dua pasien lanjut usia. Pengambilan data menggunakan Sphygnomanometer digital. Pengukuran tekanan darah dilakukan sebelum dan sesudah dilakukan terapi rendam kaki air hangat dengan campuran garam dan serai selama 1 kali dalam seminggu dalam waktu 10 menit. Setelah diberikan terapi terdapat penurunan tekanan darah pada kedua responden dengan nilai rata-rata penurunan nilai sistole 7,28 dan nilai diastole 12,48. Penerapan terapi rendam kaki air hangat dengan campuran garam dan serai efektif dalam menurunkan tekanan darah pada pasien hipertensi.
Terapi Rendam Kaki Air Hangat Pada Penderita Hipertensi
Authors: Sari Shinta Mayang , Aisah Siti
Published: August 2022

Hipertensi merupakan suatu keadaan tanpa gejala, dimana tekanan yang abnormal tinggi didalam pembuluh darah arteri, seseorang didiagnosis hipertensi apabila tekanan sistolik dan diastoliknya mencapai angka ≥ 140/90 mmHg. Pengobatan untuk hipertensi dapat dilakukan dengan dua metode yaitu dengan tehnik farmakologi dan non farmakologi, salah satu teknik non farmakologi yang dapat dilakukan untuk menurunkan tekanan darah adalah dengan pemberian terapi rendam kaki air hangat. Metode studi kasus yang digunakan adalah deskriptif dengan pendekatan proses keperawatan meliputi pengkajian, diagnosa keperawatan, intervensi keperawatan, implementasi dan evaluasi. Subjek studi kasus berjumlah 2 pasien yang memenuhi kriteria inklusi dan ekslusi, menggunakan teknik accidental sampling. Tujuan dari studi kasus ini adalah untuk mengetahui penurunan tekanan darah setelah diberikan terapi rendam kaki air hangat. Terapi rendam kaki air hangat yang dilakukan 5x pertemuan selama 5 hari yang dilakukan selama 15 menit. Hasil evaluasi didapatkan setelah dilakukan Terapi rendam kaki air hangat yang dilakukan 5x pertemuan secara berturut-turut selama 5 hari yang dilakukan selama 15 menit dapat menurunkan tekanan darah ada pasien Hipertensi dengan rata-rata pada studi kasus 1 sebesar 3,99 mmHg sedangkan pada studi kasus 2 sebesar 6,46 mmHg. Masalah keperawatan resiko perfusi serebral tidak efektif teratasi sebagian ditandai dengan penurunan nilai tekanan darah. Terjadi perpindahan panas secara konduksi antara air dengan telapak kaki, efek panas dari air mampu memberikan efek vasodilatasi pembuluh darah sehingga memicu penurunan tekanan darah. Berdasarkan kesimpulan tersebut diharapkan bagi pasien yang mengalami hipertensi dapat menggunakan terapi nonfarmakologi seperti rendam kaki air hangat untuk menurunkan tekanan darah. Bagi tenaga kesehatan agar memberikan pendidikan kesehatan khususnya kepada pasien hipertensi tentang manfaat terapi rendam kaki air hangat.
Penerapan buerger allen exercise meningkatkan perfusi perifer pada penderita diabetes melitus tipe II
Authors: Wijayanti Dhia Ramadhani , Warsono Warsono
Published: August 2022

Diabetes Melitus adalah penyakit menahun (kronis) berupa gangguan metabolik yang ditandai dengan gula darah melebihi batas normal. Kaki diabetis dengan ulkus menjadi salah satu komplikasi tersering dari sekian banyak komplikasi yang dapat dialami penyandang Diabetes. Kaki diabetis diawali dengan munculnya tanda dan gejala resiko gangguan perfusi perifer. Masalah ini tidak hanya berdampak terhadap fisik namun juga dapat berdampak terhadap kualitas hidup penderita Diabetes. Penatalaksanaan farmakologis disertai dengan penatalaksanaan non farmakologis berupa perubahan pola perilaku seperti pemberian aktivitas fisik Buerger Allen Exercise dapat dilakukan penderita Diabetes dirumah secara mandiri. Buerger Allen Exercise adalah latihan gerak bervariasi pada tungkai bawah dengan memanfaatkan gaya gravitasi yang dilakukan secara bertahap dan teratur. Gangguan darah ke perifer dapat diketahui melalui pemeriksaan Angkle-Brachial Index. Studi kasus ini bertujuan untuk menilai pengaruh Buerger Allen Exercise terhadap penurunan resiko perfusi perifer dengan penilaian Ankle Brachial Index (ABI) pada penderita Diabetes Melitus tipe 2. Studi kasus dengan mengaplikasikan evidence based practice nursing Buerger Allen Exercise pada dua kasus kelolaan dengan teknik purposive sampling dengan kriteria inklusi klien diabetes tipe II dengan pengobatan teratur, skor nilai angkle-brachial indeks (ABI) 0,4 – 0,89, berumur 40-60 tahun baik laki-laki maupun perempuan dan mengikuti seluruh program latihan yang telah disetujui bersama. Buerger Allen Exercise dilakukan sebanyak 6 kali selama 6 hari dengan durasi 15 menit, pengukuran menggunakan stetoskop dan sphmomanometer sebelum dan sesudah pemberian latihan. Hasil studi menunjukan adanya peningkatan nilai Angkle-Brachial Index selama 6 hari pada studi kasus 1 dengan rata-rata peningkatan sebesar 4,1 dan pada studi kasus 2 rata-rata peningkatan sebesar 5,8. Variasi gerakan dan gaya grafitasi pada Buerger Allen Exercise mampu untuk memperbaiki dan meningkatkan sirkulasi darah hingga ke perifer ditandai dengan peningkatan nilai Angkle-Brachial Index