bluuebunny/crossref_metadata_2025 huggingface dataset:
IoT Enabled Health Care System
Authors: Riaz Ahmed , Suhel Ahmad Khan , Sudesh Kumar
Published: March 2023

One of the greatest things to have occured recently to the industry is the use of IoT in healthcare. IoT meets new requirements with its own set of advantages, including enabling real-time monitoring, offering more developed and efficient methods to collect patient data, and tracking patients' and staff members' actions. IoT plays a vital role in healthcare. The healthcare sector is now fully digital thanks to the internet of medical things, smart devices, information systems, and cloud services. The Industry 4.0 version of healthcare is named Healthcare Industry 4.0, or Health 4.0 in short. Health 4.0 is based on new technologies to deliver enhanced and value-added healthcare services to the patients. Our lives have become significantly more pleasant as a result of the advancements made in digital healthcare services, which have made treatment more accessible and simple. Now a days the healthcare sector is mostly dependent on IoT and most healthcare sectors are moving towards IoT.
Responses to the covid-19 by education sector: perspectives from bangladesh and china
Authors: Md. Shahinur Rahman , Mahiuddin Md. , Gazi Md. Shakhawat
Published: March 2023

The purpose of the current study is to investigate the impact of the COVID-19 pandemic on the education sector in China and Bangladesh. This research employs document analysis technique to represent the context. The majority of the research articles used in this study are chosen from well-recognized platforms (i.e., Web of Science, Scopus, Science Direct, PubMed, EBSCOhost and Google Scholar). The findings of this paper illustrate that the pandemic has shaken the education system across the world. The COVID-19 pandemic forced to shut down many educational institutions, which temporarily displaced millions of students across the world. Undoubtedly, the COVID-19 pandemic revealed a direct relationship to reduced learning possibilities of many students in Bangladesh. On the contrary, the COVID-19 pandemic has revealed a new learning dimension across the world. However, the pandemic threatens mental health and throws questions regarding the effectiveness of online education in many nations, e.g. Bangladesh, and China. This study adds notable value to the existing literature by recommending some visionary guidelines for the education stakeholders.
Skin cancer detection using machine learning techniques: a review
Authors: Mansi Mishra , Khare R. K.
Published: March 2023

Skin cancer is one of the most common types of cancer worldwide, accounting for about one-third of all diagnoses. Unrepaired DNA breaks in skin cells, which result in genetic flaws or mutations on the skin, are the primary cause of skin cancer. Early detection of skin cancer signs is necessary due to the rising incidence of cases, high death rate, and expensive medical treatments. Researchers have created a number of early detection methods for skin cancer because of how dangerous these problems are. Skin cancer is detected and benign skin cancer from melanoma is distinguished using lesion features including symmetry, color, size, form, etc. Skin lesions are organized in layers, and dermatologists take this into account when making a diagnosis. CNN outperformed even board-certified dermatologists. Machine-assisted methods for detecting cancer are also more efficient. Deep learning is an artificial intelligence operation that simulates the work of the human brain in organizing data and designing decision-making patterns. This research gives a thorough analysis of deep learning methods for skin cancer early detection.
Automatic car service recommendation system using machine learning techniques
Authors: Kumar M. A. R. , Mohammed Abdullah Khan , Gundlapally Siri Reddy , Ramavath Tarun , Sujith Yadav
Published: March 2023

The automobile industry has been growing at a high rate in the past few decades, contributing about 7.5% to India's total Gross Domestic Product (GDP). As the number of vehicle owners are increasing the demand and need for automobile service is also high, but people are busy with their routines, hence failing to perform proper maintenance on their vehicles. This paper uses machine learning algorithms and object detection to come up with the idea to develop a web application that suggests users some offers and timing for their car maintenance by analyzing a car using computer vision without the owner's involvement. This project aims at both the owner's convenience and the growth of the service provider's business. Generally, we do not realize that multiple tasks can be done at a time, which results in incomplete tasks. This paper presents a machine learning-based automated car maintenance system with effective time utilization, by using the Internet of Things (IoT) device that could be installed at the parking's main gate in places where people tend to spend many hours, like offices or malls. This device consists of a camera that is responsible for detecting a car image from the live video. These images are then sent to the device, which uses pre-trained models to detect any damages or dirtiness in the vehicle.
Estimation and correction of motion blur in digital images
Authors: Abotula Dileep Kumar , Nalini Bodasingi
Published: March 2023

Digital images play a very important role in developing computer-aided systems. The motion blur and blur in such types of images affect the accuracy of the system. Therefore, it is a challenging task to estimate and remove the blur in the images. In the present paper, an attempt is made to use a Convolutional Neural Network (CNN) model to estimate and remove the blur in the images. The CNN model with different functions helps to improve the accuracy of removing blur from the images. Different network functions, such as ReLU and Sigmoid, and their combinations are analyzed for the modeling of CNN. The performance of CNN is analyzed with different parameters, such as blur estimation, PSNR, RMSE, SSIM, and MSE. The performance is measured by considering different image categories, such as more blur images, less blur images, dark blur images, and biomedical images. Considering the parameters, it is observed that CNN with ReLU and Sigmoid functions is giving better performance than other network functions. It is observed that CNN models are giving successful performance to remove blur and correct the blur than any other traditional models.
A review of the latest IT service management solutions
Authors: S. John Justin Thangaraj , Uma Chandran , Jabez J.
Published: March 2023

In today's fast-paced business environment, efficient Information Technology (IT) service management is crucial for maintaining a competitive edge. The latest Information Technology Service Management (ITSM) solutions offer a wide range of features and capabilities, including automation, self-service portals, and analytics, to help organizations streamline their IT operations and improve their overall performance. This review will take a closer look at some of the latest IT Service Management (ITSM) solutions on the market and explore their key features and benefits. It will also discuss how these solutions can help organizations improve their IT service delivery and support their digital transformation efforts.
On Kolmogorov Complexity of Unitary Transformations in Quantum Computing
Authors: Kaltchenko A.
Published: March 2023

We introduce a notion of Kolmogorov complexity of unitary transformation, which can (roughly) be understood as the least possible amount of information required to fully describe and reconstruct a given finite unitary transformation. In the context of quantum computing, it corresponds to the least possible amount of data to define and describe a quantum circuit or quantum computer program. Our Kolmogorov complexity of unitary transformation is built upon Kolmogorov "qubit complexity" of Berthiaume, W. Van Dam and S. Laplante via mapping from unitary transformations to unnormalized density operators, which are subsequently "purified" into unnormalized vectors in Hilbert space. We discuss the optimality of our notion of Kolmogorov complexity in a broad sense.
A Second Derivative Block Method Derived from a Family of Modified Backward Differentiation Formula (BDF) Type for Solving Stiff Ordinary Differential Equations
Authors: Kaze Atsi , Lydia Adiku , Namuma Yarima , Kumleng G. M.
Published: March 2023

In this work, a second derivative block method derived from a family of modified backward differentiation formula (bdf) type for solving stiff ordinary differential equations has been constructed. Choosing a step number, k = 4, four discrete methods with uniform order 7 are obtained using the multistep collocation approach. The stability properties of the new method have been established. The solutions of two problems have been computed and compared with the corresponding exact and other existing solutions. Solutions are presented on graphs and the associated absolute errors are compared in tables.
Development of wireless controlled robot arm for industrial applications
Authors: Satyam S. Tilekar , Vikram T. Pawar , Aryan S. Tilekar , Dipali M. Adat , Shivaprasad K. Tilekar , Prashant V. Manedeshmukh
Published: March 2023

In the past decade, revolutionary innovations in allied technology have given rise to the design and construction of ubiquitous mechatronic systems for different domains of industrial applications. The process and manufacturing industries have a lot of areas that are hazardous to direct human interaction. Therefore, development of a wirelessly controlled robotic arm akin to human skills is urgently needed in industrial applications. Further, the deployment of the Arduino Uno microcontroller platform has very promising features for designing mechatronic systems. So, it is proposed to develop a wirelessly controlled robotic arm. In this proposed article, a robot arm having the ability to move in four directions (up, down, left, and right) has been constructed. This controlled mobility is achieved with the help of a 4-DOF (Degree of Freedom) design deploying two types of servo motors, the SG90 and the MG996R. The Bluetooth module, HC- 05, is interfaced to achieve wireless communication. These devices are wired around the powerful electronic platform "Arduino Uno microcontroller," and an Android-based application is deployed on a smart phone to control this robotic arm wirelessly. The prototype of the Wireless Robotic Arm (WRA) is designed and developed successfully in the laboratory for industrial applications, pick-and-place operations, and it works smoothly and has good repeatability.
The use of industry recognized certifications to develop the technical skills required to rebuild the bahamas after hurricane dorian and the global pandemic
Authors: Robert W. Robertson
Published: March 2023

Individuals, organizations, and countries have had to address the unprecedented and dramatic impacts of the global COVID-19 pandemic from a health, economic, education, and societal perspective. An added challenge in the Bahamas is related to the significant impact of Hurricane Dorian, which struck the Northern Bahamas in the fall of 2019, devastating the Abaco Islands and Grand Bahama. This paper assesses the efforts within the Bahamas to recover from the dual impacts of the pandemic and the hurricane. In particular, the paper addresses the importance of developing the workforce-ready skills required to meet the national skill gap and the critical needs of businesses as a key part of the recovery efforts and preparing for the world of work post-pandemic. Specifically, the paper utilizes the Bahamas Technical and Vocational Institute (BTVI) to provide examples of developing and delivering key, in-demand, industrycertified workforce trade-related skills in traditional on-campus formats and increasingly using online and blended modalities in response to Hurricane Dorian and the global pandemic. The paper uses a mixed methods approach of a survey and interviews of participants completing an accelerated, certified, pilot skills training initiative. Overall, research results indicated that respondents were very satisfied with the training and suggested improvements was identified.
A critical analysis on the effects of xanthan gum properties and its derivatives in enhanced oil recovery
Authors: Simran Juneja , Vamsi Krishna Kudapa
Published: March 2023

Polymer flooding or mobility control techniques that focus on maintaining favorable mobility ratios can be used to improve volumetric sweep efficiency. The development of specialized polymer solutions optimizes the mobility ratio between the injected polymer solution and the oil or water bank being displaced in advance of the polymer. Because of its solid structure, lack of effect of salt on viscosity (unlike partially hydrolyzed polyacrylamide (HPAM), which has a salinity influence on viscosity), and lack of effect of high temperatures, xanthan gum, also known as polysaccharide biopolymer, is the most frequently utilized. This research investigates many properties of xanthan gum, as well as its effectiveness with other polymers and the modifications made to improve its performance.
Assessment of Reuse Potential of Low-Grade Iron Ore Fines through Beneficiation Routes
Authors: Nirlipta P. Nayak
Published: March 2023

The iron ore deposits are sedimentary in nature. In 2021, approximately 1.95 billion metric tons of crude steel were produced globally, compared to 2.6 billion metric tons of usable iron ore. Iron ore is the primary source of the iron and steel industries, which in turn are essential to maintaining a strong industrial and economic base. Globally, 86% of the total iron produced is used in steelmaking. The most important iron ore minerals include hematite, magnetite, and taconite. The other iron ore minerals include goethite, laterite, etc. Hematite and magnetite are most commonly exploited for their iron values. Considering the non-renewable nature of iron ore, there is a paradigm shift towards the upgrading and beneficiation of low-grade iron ore. The widely accepted techniques for beneficiation include jigging, magnetic separation, enhanced gravity separation, froth flotation, etc. Owing to density contrast, iron can be separated from the gangue in simple jigging cycles. The electromagnetic laboratory-scale Wet High Intensity Magnetic Separator (WHIMS) removes fine magnetics and para-magnetics from mineral slurries. The physical and chemical properties of the ore mineral, as well as their mutual relationship, have a large impact on the beneficiation efficiency. In most of the processing units, the small, dense particles report to the tailing fraction, causing a significant loss in ore values. In such challenging cases, the enhanced gravity technique is useful. It is a combination of centrifugal force and gravitational force that facilitates the separation of low-density ore minerals and gangue. The paper focuses on the importance of a characterization study for the success of beneficiation.
Smart antenna design for mobile application
Authors: Sachin Bandewar , Virendra Singh Chaudhary
Published: March 2023

Digitalization is becoming more and more important. Building smart houses and industries to offer humans longer lives is one of the main goals of the digitization movement. The main aim of this work is to make those verbal exchange modules more powerful with the aid of either improving the antennas to have a higher layout or changing it with new varieties of antennas that are better able to facilitate powerful verbal exchange. This paper proposes an antenna that can be applied to a verbal exchange module to be able to perform inside the Industrial, Scientific, and Medical (ISM) band at 2.4 GHz. After designing and simulating a complete Printed Circuit Board (PCB) antenna, it found that a few designs produced advanced simulation effects in terms of gain, reflection coefficient, voltage standing wave ratio (VSWR), and band width. Always-pointing antennae are protected by the layout of the antenna, allowing it to protect features inside the Global Positioning System (GPS) and ISM (Industrial, Scientific, and Medical) bands for Wi-Fi devices.
Quality of work life of nurses among government hospitals and private hospitals in chalakkudy town
Authors: Andrea Varghese , Umesh U.
Published: March 2023

The philosophy of the quality of work life is a set of principles that hold people as the most important resource in organizations. They are trustworthy, responsible, and capable of making a valuable contribution. As such, they should be treated with dignity and respect. The elements relevant to an individual's quality of work life include the task, the physical work environment, and the social environment within the organization, the administrative system, and the relationship between life on and off the job. Nurses are one of the most powerful pillars of the healthcare delivery system, providing people with safe, affordable, and high-quality services. However, nurses often experience high levels of job stress, burnout, and dissatisfaction with their work, which can have negative consequences for themselves, their patients, and the healthcare system. It states that prioritizing the philosophy of quality of work life in nursing practice is critical for enhancing nurses' well-being and ability to provide high-quality care to patients.
Assessment of factors influencing sexual dysfunction and the coping strategies adopted by cancer patients in selected hospitals of the city
Authors: Mulani Samina Mehaboob
Published: March 2023

This study aims to assess the factors that contribute to sexual dysfunction among cancer patients in selected hospitals in the city, as well as the coping strategies they adopt to deal with the issue. The study will use a mixed-methods approach, with both quantitative and qualitative data collection and analysis. Quantitative data will be collected using a standardised questionnaire administered to cancer patients, which will gather information on their sexual function and quality of life. Qualitative data will be collected through in-depth interviews with cancer patients to gain a more detailed understanding of their experiences with sexual dysfunction and coping strategies. The study's findings will be useful in identifying interventions that can help cancer patients manage sexual dysfunction and improve their quality of life.
Weed identification using machine learning models
Authors: Vandana Saini , Shalini  , Krishan Kumar Sharma
Published: March 2023

Image classification is a complex process and an important direction in the field of image processing. Image classification methods require learning and training stages. Using machine learning classification models in image classification gives better results. Decision Tree, Random Forest, Gradient Boosting, Bagging Classifier, Multi-Layer Perceptron (MLP) Classifier, and Support Vector Machine (SVM) are different machine-learning classification models. The goal of this paper is to analyze the machine learning classification models. These models classify 12 kinds of plant seedlings, of which 3 are crop seedlings and 9 are weed seedlings. This paper suggests that, when using a V2 Plant Seedlings dataset, the accuracy of SVM is 0.71 and the accuracy of other models is less compared to SVM. The experimental results in this paper show that the machine learning model SVM has a better solution effect and higher recognition accuracy. This paper focuses on model building, training, and assessing the quality of the model by generating a confusion matrix and a classification report.
A survey of image encryption algorithms for biomedical images
Authors: Mohan Manju , Rajesh Kumar Pathak
Published: March 2023

Biomedical imaging is a powerful tool for visualizing the body's internal organs and illnesses. Image protection is difficult in the field of biomedical imaging. Many studies have been conducted in the medical field to protect medical images. Encryption is the perfect solution for image privacy without data loss. Due to data size, redundancy, and performance limitations, traditional encryption methods cannot be directly applied to e-health medical data, especially when patient data is transferred through open channels. Thus, patients may experience a loss of confidentiality of the data content because images differ from text due to two different factors, such as loss of data and loss of privacy. Researchers have determined such protection risks and suggested several image encryption strategies for undesirable security difficulties. However, the study found that the currently offered approaches face application-specific security issues. Therefore, there is a growing demand to protect sensitive information in medical images. This paper presents a color and grayscale medical image encoding algorithm to preserve medical images. The compression and encoding performance of the proposed algorithm are analyzed and evaluated based on Mean Squared Error (MSE), Peak Signalto- Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM), statistics, diversity, and entropy analysis. Matrix Laboratory (MATLAB) results show that the proposed algorithm provides high-quality reconstructed images with a good level of security during transmission.
Mental health in relation to parents of children with disabilities in india
Authors: Sunita Kathuria , Rekha Bhanudas
Published: March 2023

Parenting is regarded as the most amazing experience a person can have, and it is true to say that parents are essential in assisting children in growing and developing to the fullest extent possible. However, the most beautiful phase may become challenging if the child deviates from normalcy. Speaking of children with disabilities, parents of children with disabilities experience such social, psychological, emotional, and physical disturbances in life as their children strongly rely on them for their fundamental needs such as food, life skills, special education, safety, and care, etc. Worry, anxiety, despair, overprotection, rejection, and self-blame are all typical feelings for parents when they discover their child's condition. They are found to be frequently struggling with social situations as well. In such a condition, how can a parent be expected to have both balanced psychological well-being and a healthy parenting style? In order to highlight the importance of the delivery of appropriate interventions at the right moment to support parents in need, the researchers felt the need to conduct a study related to the dimensions and mental health status of parents of children with disabilities. For this study, a sample of 50 parents having children with disabilities (CwDs) and 50 parents having children without any disability (Cw/oDs) was prepared. The Mithila Mental Health Status Inventory was used to gather the data from the sample taken from Delhi, India. The hypothesis was framed and tested through descriptive and inferential statistical tools. In the end, the findings revealed that there was emotional instability, alienation, and egocentrism among parents of CwDs, and it was ultimately determined that the mental health of the parents of CwDs was poor. The mental health of parents of Cw/oDs was estimated to be average, with low levels of social alienation, emotional instability, and emotional nonconformity. Additionally, there was a statistically significant difference between the mental health of CwD parents and Cw/oD parents. The study proposes that since a parent's mental health directly affects how they parent their child, practitioners who work with families of CwDs must inquire about the mental strength of the parents and offer advice on coping mechanisms in order to reduce the stress levels of the parents. The good mental health of the parent is directly related to the quality of life of the entire family.
Teacher perceptions of shared instructional leadership and innovative schools
Authors: Ayhan Kandemir
Published: March 2023

The study aims to determine teachers' perceptions of shared instructional leadership and innovative schools. The correlational research design, one of the types of quantitative research, was used for the study. The universe of the research consisted of teachers working in public secondary schools in the center of Bolu, Turkey in the second semester of the academic year 2021–2022. The research data were collected from 281 teachers working in these secondary schools and the data were collected with shared instructional leadership and innovative school scales. From the results, it was found that teachers rated shared instructional leadership as "I agree" and innovative schooling as "Sometimes." It was found that there was a positive relationship between shared instructional leadership and the sum of the subdimensions of innovative schools, management support, and innovative atmosphere, and a negative relationship between the sub-dimensions of organizational barriers. In addition, shared instructional leadership was found to be a significant predictor of innovative schools. In light of these results, suggestions can be made such as conducting inservice training courses for principals and teachers to develop shared instructional leadership in schools, emphasizing cooperation and participation by removing barriers to innovation and change in schools, and taking necessary measures to promote innovation and development in schools, especially in administration.
Emotional intelligence and adjustment of B.Ed. student teachers
Authors: Seema P. V. , Padmanabha C. H.
Published: March 2023

Emotional Intelligence and Adjustment are the essential conditions for living a healthy and wealthy life. From birth to death, everyone require healthy adjustments in all aspects of life. Adjustment problems, stress levels and homesickness are all supposed to be reduced for the development of a well-balanced personality. Emotional intelligence was thought to be responsible for reducing adjustment problems, stress levels and homesickness. Emotions play a significant role in influencing and guiding actions. Emotions are often seen as dominating the behavior to the point where everyone have no choice but to behave in accordance with their wishes. Subsequently, emotions are found to be providing a specific direction to behavior. These emotions aid in the development of personality. This study made an effort to find levels of emotional intelligence among science and arts student teachers. The present study consists of 50 samples equally divided into two groups (i.e., science and arts). Emotional intelligence tool used was constructed and standardized by Ankool Hyde, Sanjyot Pethe, and Upinder Dhar, and an adjustment scale was constructed and standardized by Prof. A.K. Sinha and R.P. Sina, for the collection of data. Statistical techniques such as mean, SD, and t-test are used for data analysis. The result reveals that 22% of student teachers have high emotional intelligence, 68% of student teachers have average emotional intelligence, and 10% of student teachers have low emotional intelligence. From the study, it is concluded that there is no significant difference between the Emotional Intelligence scores of Science and Arts student teachers. There is no significant difference between the adjustment scores of science and arts student teachers. There is a significant relationship between emotional intelligence and the adjustment of B.Ed. student teachers at Srinivas University.
Relationship between study habits and learning difficulties of upper primary students
Authors: B. Prema Latha , S. Praveen Kumar
Published: March 2023

This study aimed to investigate the relationship between study habits and learning difficulties of upper primary students in class 8 in Kanyakumari district. The study used a sample of 300 students, and employed a Normative Survey method. Data was collected using a Study Habits Scale, and Tests on Reading and Writing Skills, and analyzed using t-test and Pearson's Product Moment Correlation. The results showed that there were significant differences in study habits and reading difficulties among upper primary students based on gender and medium of instruction. There was also a significant difference in writing difficulties based on medium of instruction, but not on gender. The study found a positive correlation between study habits and reading difficulties among upper primary students, but no significant correlation between study habits and writing difficulties.
Using Open-Source Sentinel-1A Images for Flood Susceptibility Mapping in North Bihar, India
Authors: Ashish Aggarwal , Anjali
Published: March 2023

Natural calamities such as floods are a severe menace, causing huge socio-environmental threats. Remote sensing technologies have proven to be a boon in precisely mapping the spatiotemporal effects and spread of floods, allowing remedial measures to be implemented on time. This paper aims to demarcate the extent of flooded areas in the study area by the application of remote sensing techniques that involve combining temporal images acquired during the flood (crisis images) with images acquired before the flood (archive images). In disaster mapping applications, the image that is acquired before the event takes place is referred to as the archive image, while the image that is acquired at the time of the event is referred to as the crisis image. The research objectives were achieved through the analysis of freely available Sentinel-1A data to delineate the extent of flooded areas in the European Space Agency's-Sentinel Applications Platform (ESA-SNAP) environment. Multi-looking, radiometric calibration, and range doppler terrain correction (geometric) were applied to the temporal images for better visualization and distinction and for projecting the pixels onto the proper map system. Later, the archive and crisis images were overlaid to form a Red Green Blue (RGB) composite that showed the extent and spread of floods in north Bihar, where each color represented areas of different significance. Further, the flood map was overlaid onto the Google Earth optical layer for better visualization and comparison. The work demonstrated the applicability and use of remote sensing and GIS technology to quickly gain insight into the spatial and temporal distribution of floods in a given region and could be used as a precursor for efficient flood management and relief measures.
The effect of partial replacement of cement by waste green glass powder with waste plastic as coarse aggregate
Authors: Shankar H. Sanni , Gurubasav S. Hiremath , Shashikanth A. Kambali , Akash A. Chavan
Published: March 2023

Concrete is one of the most widely used materials for various construction projects around the world due to its low cost, availability, durability and ability to withstand extreme weather conditions. Glass and plastic have become part of our daily lives, with continuously increasing annual consumption. Low density, high strength, durability, light weight and low cost are factors that have contributed to the increase in the consumption of glass and plastics. Generation of waste from glass and plastic products are increasing and disposal of the waste causes environmental issues. There are many researches that utilize these generated waste as construction material. This research focuses on the use of shredded plastic waste and green glass waste powder to replace coarse aggregate and cement in concrete. The grade chosen for the investigation was M20. The mechanical properties of glass powder based concrete were studied by replacing green glass powder at 5%, 10%, 15%, and 20% with the volume of cement and replacing 10% coarse aggregate by volume with waste shredded plastic bottle caps. The test specimens chosen for the research were cubes of dimension 150 mm x 150 mm x 150 mm, cylinders of dimension 100 mm x 200 mm, and beams of dimension 100 mm x 100 mm x 500 mm. Results indicate that workability of freshly prepared concrete using glass powder noticed shear collapse for all the mixes cast. The compressive strength was 10% higher than the conventional concrete whereas split and flexural strength were almost same as that of conventional concrete. Hence, an attempt can be made to use waste green glass and plastic in the preparation of routine concrete.
A parametric study on the behavior of RC and FRC deep beams with and without CFRP strengthening using ANSYS
Authors: Gurubasav Hiremath , Arshiya Naaz Yendigeri
Published: March 2023

Deep beams are common elements in concrete structures such as bridges, water tanks, etc. Deep beams were designed by using the strut-and-tie model (STM) method without any web reinforcement using ACI 318-14 with a shear span to depth ratio (a/d =1). RC deep beams show brittle failure by crushing of struts under applied load. Fiber reinforced concrete (FRC) is a better alternative for the reinforced concrete beam without web reinforcement as it contains fibers such as a ramid, steel, etc. The fibers used were steel fibers of 1% volume, and aspect ratio of 60. The use of carbon fiberreinforced polymer (CFRP) for strengthening the deep beams is utilized and a comparison between reinforced concrete(RC) and fiber-reinforced concrete (FRC) deep beams with and without CFRP strengthening is carried out using (Analysis of Systems) ANSYS 18.1. The mid-span deflections were significantly decreased and improved shear strength was observed in CFRP strengthened deep beams and FRC deep beam in comparison of RC deep beam. The ultimate loads for a maximum deflection value were compared in all the deep beams and RC frame with embedded carbonfiber reinforced polymer (RC-CFRP), fiber reinforced concrete carbon-fiber reinforced polymer(FRC-CFRP) and FRC deep beams showed 29.4%, 42.47% and 32.05% improvement, respectively, when compared with the RC deep beam. A total of 43.4% decrease in deflection and 74% decrease in shear stress was observed in FRC deep beam. The deflection and stress values in strengthened beams were comparatively lesser. In this study, deflection was observed to decrease by 74.4% and 82%, and shear stress decreased by 92% and 93.5% in the strengthened RC and FRC deep beam, respectively, compared to the deep beam RC model. It is suggested that strengthened FRC is a better alternative to RC deep beams.
An investigation on the effect of partial replacement of coarse aggregates by pre-treated plastic on concrete
Authors: Rahul Bevinagidad , Akash Chavan , Gurubasav Hiremath
Published: March 2023

Earth is currently dealing with a pandemic. In a view to solve both the problems at once, replacing the major ingredient of concrete, that is, coarse aggregate, by waste plastic seems a promising prospect. Also, quarrying, the process by which stones are extracted from the earth, has devastating impacts on the local ecosystem, ground water, and even has air-polluting effects, so finding a replacement for coarse aggregate would be a boon to the construction industry as a whole. In this work, coarse aggregates were replaced with pre-treated plastic and behaviour with respect to strength was observed, and it was found that replacements up to 15% are viable and can result in strengths comparable to those of normal M20 concrete, showing a promising replacement to coarse aggregate without having adverse effects on the strength of concrete.
Performance evaluation of reinforced concrete structure considering uncertainty in loading pattern
Authors: Ashwini L. K. , Pavan P. , Keshavamurthy M. , Ravikumar C. M.
Published: March 2023

Non-linear static analysis serves as a suitable measure to evaluate the performance of a structural system. The careful selection of the load pattern is critical to arrive at an adequate performance evaluation. These force distributions do not represent the exact effects of varying dynamic characteristics during the inelastic response or the influence of higher modes. Hence, meticulous consideration must be given in choosing a certain load pattern. The present analysis seeks to evaluate and compare the response of an eight-story reinforced concrete structure by applying load patterns prescribed by several guidelines using Etabs 18.1.1. The results indicate with acute clarity that, in all cases, the shape of the lateral load distribution is what the response of the building is finely accustomed to. This is especially true when different patterns of load are considered and analyzed. The first mode is found to be predominant, and higher modes are negligible.
Effect of calcium lactate and sucrose on the quality attributes and storage
stability of vacuum impregnated jackfruits
Authors: Sandianysamy M.A. , Koh S.P. , Mohd Adzahan N. , Yusof N.L.
Published: March 2023

Vacuum impregnation (VI) is a non-destructive unit operation. VI has been extensively
studied with regard to the modification of the physicochemical properties of food
products. The VI process allows the introduction of cryoprotectants and preservatives
into the intercellular spaces of the plant tissues. Jackfruit is rich in nutrients and due to
the increasing demand for minimally processed fruits, jackfruits are cut, packed, and
stored before being sold to customers. However, minimal processing causes mechanical
injury, leading to an increase in metabolic activity. A way of extending the storage
stability of minimally processed jackfruit is required. Thus, the objective of this study is
to determine the physicochemical and sensory properties, microbiological quality, and
storage stability of vacuum impregnated jackfruit using different texture enhancers,
calcium lactate (1.5%) and sucrose (20%) sprayed with fermented jackfruit leaf solution
(50%) and stored at 4°C. The samples were stored for 10 days and were analyzed every
second day. The firmness and microscopic structure of calcium lactate impregnated
samples were significantly higher and more rigid than control and sucrose impregnated
samples. Sensory evaluation showed that sucrose impregnated samples had significantly
higher scores for taste, aroma, and overall acceptability. Based on visual observation,
control samples begin to get mouldy from day 6 while both treated samples had zero
mould growth throughout storage. In conclusion, VI extends the shelf life of fresh-cut
jackfruit up to 10 days by enhancing the texture and slowing the quality degradation. It is
believed that VI treatment provides an alternative method to preserve the food quality of
fresh-cut fruits.
Development of ready-to-drink tea with Lactobacillus plantarum Dad-13 based
on the vulnerability aspects of the production process
Authors: Guritno A.D. , Aini N.N. , Dharmawati M.S. , Rahayu E.S.
Published: March 2023

Tea is one of the plantation crops which contributes to 3.27% of the Gross Domestic
Product (GDP) in Indonesia. As one of Indonesia’s export commodities, tea plays a big
role in foreign exchange revenue. Among various kinds of processed tea drinks, 14.36%
of tea consumers in Indonesia have a preference for consuming ready-to-drink (RTD) tea,
implying its market potential in Indonesia. Furthermore, the increasing trend of healthy
products resulted in the rise of the probiotic beverage market globally. Therefore, an RTD
tea product with the addition of Lactobacillus plantarum Dad-13 has been developed,
named ProbioTea. This study discusses the development of the ProbioTea product and
vulnerability analysis of the two processes used: cold brew and hot brew. The study aimed
to determine the level of vulnerability at each stage of ProbioTea manufacturing to reduce
the risk of failure in large-scale production. This study also investigated antioxidant
contents, cell viability, pH, and the visual appearance of ProbioTea. The result showed
that the mixing and storage process has a high vulnerability to both cold and hot brew
methods. The result of the assessment of risk vulnerability in the ProbioTea production
process showed no risk with an extreme level of vulnerability. Thus, it indicated that the
risk in the ProbioTea production process can be managed properly. The percentage of
antioxidants in the cold brewing method was 51.25 - 71.76%, while the hot brewing
method shows 44.89 - 54.74%. After storage, ProbioTea with the cold brew method
experienced an increase in antioxidants because the low temperature was able to protect
the bioactive compounds in tea. Meanwhile, there was no significant difference in the cell
viability of ProbioTea processed on the cold and hot brew. After storage, the cell viability
contained in ProbioTea was more than 6.8 CFU/mL. The acidity of ProbioTea processed
in both cold and hot brew was not significantly different. This research concluded that the
ProbioTea product is good.
Supervisi Akademik Berbantuan Google Workspace for Education untuk Meningkatkan Kompetensi Guru Melaksanakan Pembelajaran Berdiferensiasi
Authors: Subekti Asih
Published: March 2023

Penelitian ini bertujuan untuk mendeskripsikan peningkatan kompetensi guru dalam melaksanakan pembelajaran berdiferensiasi melalui penerapan supervisi akademik berbantuan google workspace for education pada guru Sekolah Dasar Negeri 1 Manyaran. Penelitian ini menggunakan pendekatan kualitatif dengan metode penelitian deskriptif. Teknik pengumpulan data yang digunakan yaitu melalui observasi, wawancara, dokumentasi, dan trianggulasi. Data yang telah dikumpulkan dianalisis dengan menggunakan analisis kualitatif. Hasil penelitian menunjukkan bahwa supervisi akademik berbantuan Google Workspace for Education mampu meningkatkan kompetensi guru dalam melaksanakan pembelajaran berdiferensiasi. Selain itu, supervisi akademik berbantuan Google Workspace for Education dapat menjadi salah satu solusi dalam meningkatkan kompetensi guru dalam melaksanakan pembelajaran berdiferensiasi, hal ini terlihat jelas pada pembelajaran yang berdampak pada meningkatnya pelayanan siswa sesuai kesiapan, minat, dan profil belajarnya.
Effect of Humic Acid Applications on Physiological and Biochemical Properties of Soybean (Glycine max L.) Grown under Salt Stress Conditions
Authors: MAIWAN Noor , TUNÇTÜRK Murat , TUNÇTÜRK Rüveyde
Published: March 2023

In the study, humic acid was applied to soybean (Glycine max L.), which has high economic value and importance, to determine the tolerance level of the plant against salt stress, and physical and chemical changes in the plant were observed. The study was carried out in the climate room of Van Yuzuncu Yil University Faculty of Agriculture, Department of Field Crops in 2019. In the research, İlksoy soybean variety was used. The experiment was carried out in 4 factorial orders according to the factorial experiment was designed based on Completely Randomized Design. In the research, four different Humic acid doses (0, 500, 1000 and 2000 ppm) and 3 different NaCl salt doses (0, 125 and 250 mM) were used. In the study, root length, stem length, root fresh weight, stem fresh weight, root dry weight, stem dry weight, leaf area, chlorophyll content, ion leakage in leaf tissues, lipid peroxidation level (MDA), relative water content and membrane resistance index in leaf tissues were determined. Properties such as index were also examined. As a result of the study, the longest root was 38 cm for the control plots that salt and humic acid didn’t apply to the plants. The highest root fresh weight was 2.08 g and the stem fresh weight was 1.87 g of the plots where 500 ppm humic acid dose applied. In addition, the plants with the highest chlorophyll ratio was 51.05 under 250 mM salt applied without humic acid application.
Avaliação em leitura: estudo das habilidades da BNCC no âmbito do ensino fundamental
Authors: Paim Marcela , Teixeira Wagner Barros
Published: March 2023

Neste trabalho, buscamos expor revelações da pesquisa em andamento que visa a contribuir para a qualidade técnico-pedagógica de avaliações coordenadas e/ou organizadas pela Fundação CAEd, a partir da
Frailty and Related Factors in Elderly Patients with Chronic Kidney Disease
Authors: ALP Alper , ELBİ Hüseyin , TORAMAN Aysun
Published: March 2023

Introduction: Chronic kidney disease and frailty are two crucial clinical conditions increasing in prevalence globally. Both lead to severe complications that increase mortality and morbidity in patients. Conditions that may potentiate frailty in chronic kidney disease patients may complicate the follow-up of chronic disease and complicate long-term survival in this patient group. In this study, we aimed to evaluate frailty and related factors in chronic kidney disease patients over 65 years of age who were on dialysis and who were not. Materials and Methods: This cross-sectional study was carried out in geriatric chronic kidney disease patients followed in nephrology outpatient clinics or undergoing routine hemodialysis. Frailty was assessed using a scoring scale. Laboratory findings and their relationship with demographic and epidemiological data were investigated. Results: One hundred eighty-eight patients aged 65 and over were included in our study. Of the patients, 92 were female, and 96 were male. The mean age was 72.86 years. We found frailty in 82 patients (43.6%). Female gender, over 75 years old, under dialysis treatment, low-income status, and low education level were parameters significantly associated with frailty. In the regression analysis, we found that economic status and dialysis were variables that independently affected frailty in chronic kidney disease patients. Conclusions: In our study, the frequency of frailty was found to be high. Practical management and early assessment of frailty seem rational with the basic nephrological approach in patients with chronic kidney disease. Considering the high mortality rate among frail patients, we think these patients should be followed up more closely. Keywords: Frailty; Aged; Renal Insufficiency, Chronic.
The Effects of Low Flow and Normal Flow Desflurane Anesthesia on Liver and Renal Functions and Serum Cystatin C Levels in Geriatric Patients: A Prospective Randomized Controlled Study
Authors: GÜLER KOL Afife , GÜNEŞ Hacı Yusuf
Published: March 2023

Introduction: Aging is a physiological process and the elderly population is increasing. In parallel to the increasing of the elderly population, the number of geriatric patients who required an invasive procedure or surgical intervention under anesthesia are also increasing. The geriatric patients who are frailty and have a loss of functional reserve in all organ systems are more sensitive to anesthetic agents. The purpose of this research was to investigate whether low flow desflurane anesthesia also affects hepatic and kidney functions, in elderly patients. Methods: After approval from the local ethics committee, the patients were divided into two groups; as the low flow desflurane anesthesia group and the normal flow desflurane anesthesia group using the closed-envelope method. Calibration and leakage tests of the anesthesia device (Primus, Drager) were performed before anesthesia. Heamodynamics parametres, peripheral oxygen saturation, and bispectral index monitoring were performed to all patients in operating room. The blood samples were collected before anesthesia induction, after surgery, and at the postoperative 24th hour. The serum alanine aminotransferase and aspartate aminotransferase levels were measured to assess the liver damage. The serum creatinine, blood urea nitrogen, and cystatin C levels were measured to assess the kidney function. Results: The serum alanine aminotransferase, aspartate aminotransferase, blood urea nitrogen, creatinine and cystatin C levels and hemodynamic parameters, peripheral oxygen saturation and bispectral index values were similar in both groups. Conclusions: It was concluded that low-flow desflurane anesthesia does not adversely affect liver and kidney functions in geriatric patients and is as safe as normal-flow desflurane anesthesia. Keywords: Anesthesia; Cystatin C; Desflurane; Aged; Kidney; Liver.