bluuebunny/crossref_metadata_2025 huggingface dataset:
Determinants of Whistleblowing Intentions: The Role of Education in Building Personal Integrity
Authors: Annisaa Zakiatul , Nurlaeli Suci
Published: July 2022

This study aims to find outwhetherthe independent variablesconsisting of relativism ethical orientation, moral intensity, organizational commitment, professional identity, anticipatory socialization, and locus of controlhavean effecton employee’s whistleblowing intention. In this research, integrity is peroxided on anticipatory socialization. The data used in this study was obtained from questionnaires distributed to 204 respondents of which 31% of them pursued higher education at the same institution. This research used quantitative methods with data quality tests and classical assumption tests. Theresults show that relativism ethics orientation, professional identity, and anticipatory socialization have a positive effect on whistleblowing intentions. Meanwhile, moral intensity and organizational commitment have no effect on whistleblowing intentions. Locus of Control has a negative effect on whistleblowing intentions. The results of this study are expected to contribute to providing a perspective on the importance of internalizing integrity in education and providing input to government agencies in supporting the enforcement of whistleblowing policies and disclosure of fraud effectively by understanding the factors that contribute positively to employee intentions to whistleblowing.
Primera cita de Aeshna isoceles (Müller, 1767) (Odonata: Aeshnidae) para la provincia de Gipuzkoa.
Authors: Gutiérrez-Uranga Itziar
Published: July 2022

Se presenta la primera cita de Aeshna isoceles (Müller, 1767) para la provincia de Gipuzkoa: un macho adulto observado el 18 de junio de 2019 en el Parque Ecológico de Plaiaundi. Con este registro, el número de odonatos descritos para la provincia alcanza las 49 especies.
Art, Ecology and Affective Encounters: An Ecosophical Study of Folk Tales from Tripura
Authors:   Associate Professor, Dept. of English, Tripura University, Tripura, India, Gupta Partha Sarathi
Published: July 2022

This paper promotes an anti-anthropomorphic approach to the study of folk oratures of India’s Northeast with special reference to select motifs in the folk tales of the Bongcher and Chakma communities of Tripura (in English translation). The tales are replete with strange transformations from humans to beasts and birds, and vice versa. This motif of metamorphosis serves to situate the folk tales of this region in a paradigm which explores and accommodates a literally symbiotic kinship between art and nature. Timothy Morton’s observations on “ecological thought”, and the “mesh” resting on the pillars of inter-human and inter-elemental relationships which they foreground, offer a methodological premise to this study. This paper pursues an ecosophical study of select folk tales like – Rulrengtenu Retape (Bongcher), translated as “The Story of the Snake-Queen” and Bucya buri a Egpal Bandar (Chakma), translated as “The Old Man and the Band of Monkeys”. Besides, this study may also be situated at a crucial juncture in human history, when concerns of late capitalism and its consequent ecological collapse have begun to threaten life on this planet. Hence, this study also draws on Guattari’s notion of ecosophy engaged upon in his work The Three Ecologies, and explores how folk tales of India’s Northeast encompass the material, social, and perceptual realms of ecology in all its diverse life-affirming varieties.
Buranji in Northeast India: A 13th Century History Project of Assam
Authors:   Department of English, North-Eastern Hill University, Tura Campus, Meghalaya, India, Sharma Dwijen
Published: July 2022

The writing of Buranji in the geographical area that we now call Northeast India began with the establishment of Ahom kingdom in 1228 CE. The first Ahom king, Sukapha, who came along with soldiers and kinsmen from upper Burma ordered the writing of buranji as a part of documenting the battles they fought, incidents that took place, followers they gained etc. Initially, the buranjis, which were either written under the orders of the king or by noblemen who wanted to record and authenticate their illustrious lineage, were written in Tai Ahom language, but later these chronicles began to be written in Assamese. The Ahom buranjis not only dealt with the royal family and polity but also with the neighbouring kingdoms with whom battles were fought or had diplomatic relations. Thus, Tripura Buranji, Jaintia Buranji, Kachari Buranji etc were written. Unlike modern historiography based on rationalist-positivist model, the buranjis, though they chronicle and narrate facts and events based on state documents and other archival material kept in Gandhiya Bharal, are imbricated with myths, legends and non-linear time. Therefore, buranjis are often coupled with literature, unlike the western disciplinary project of historiography which, nevertheless, has been critiqued by scholars like Hayden White, K. M. Pannikar among others. The article, taking into consideration Suryya Kumar Bhuyan’s model of vernacular history writing, examines how the buranjis constitute a unique form that is indigenous and considerably different from the western paradigm of historiography disseminated by the colonial project.
The Animate Circuit of the Ordinary: The Everyday as Unfolding in Tarun Bhartiya’s Niam/Faith/Hynñiewtrep
Authors:   University of Oklahoma, USA, Baishya Amit Rahul
Published: July 2022

Drawing on anthropologist Kathleen Stewart’s description of the ordinary as an “animate circuit that conducts force and maps connections, routes and disjunctures,” this article reads the representations of the fugitive potentials of the quotidian in Shillong-based artist Tarun Bhartiya’s photomontage/postcard collection Niam/Faith/Hynñiewtrep (2021). Focusing on Bhartiya’s utilization of the technique of montage and the poetic juxtaposition of text and images, I consider the pluriversal narratives of pasts, presents and futures in his representations of the ordinary and the quotidian in a frontier/borderland space like Northeast India as a contribution to the nascent field of visual studies and the photographic archive in the region. This essay evaluates the significance of avant-garde visual practices, like those of Bhartiya’s, in probing the minutiae of ordinary life and its fugitive and unpredictable potentialities.
Kanhailal’s ‘Theatre of the Earth’ as Political Allegory
Authors:   Department of Assamese, Gauhati University, Guwahati, Assam, India, Bashishtha Pranjal Sharma , Sarmah Goutam ,   Dr. Bhupen Hazarika Centre for Performing Arts, Dibrugarh University, Dibrugarh, Assam, India
Published: July 2022

Playwright and director, Heisnam Kanhailal (1941-2016) was an eminent theatre personality from Manipur. He began as one of the exponents of the ‘theatre of roots’ movement, like his compatriot, Ratan Thiyam. He was influenced by Badal Sircar’s politically motivated ‘Third Theatre’ in the early 1970s who had introduced him to the ‘Poor Theatre’ of the Polish director, Jerzy Grotowski (1933-99). However, Kanhailal gradually developed his unique concept of theatre, which he later called ‘The Theatre of the Earth’ with which he had tried resist the ideologies like aggressive nationalism, which was found to be rather oppressive. He retained deeper faith in art and restricted his theatre from becoming overtly propagandist by privileging its poetic, allegorical, and ‘transcendental’ appeals. The present paper is an attempt towards critical evaluation of Kanhailal’s ‘Theatre of the Earth’ and to compare his works with that of Grotowski, Sircar, and Thiyam as well as with two contemporary theatre directors from Assam, Gunakar Deva Goswami (b.1969) and Sukracharya Rabha (1977-2018). The paper also takes up his significant plays like Pebet and others in order to closely read his poetics of theatre.
Boiling Heat Transfer Performance of Pin-Fins During Boiling of Water and Ethanol
Authors: DZIEDZIC J.
Published: July 2022

Abstract. In the article, heat transfer during boiling of two liquids: water and ethanol was described and test results were shown. Two samples of pin-fins were researched – of different heights of the microfins (namely 0.3 and 0.6 mm) made of pure copper. The higher fins performed better than the lower for both the liquids used in the experiments. It must be caused by larger surfaces and better heat exchange conditions during this phase change process. The results can be used in the industry for the production of heat exchangers.
Analysis of the Causes of the Non-Conformity of the Bearing Shell Casting Used on Rail Vehicles
Authors: PACANA A.
Published: July 2022

Abstract. Continuous improvement of the quality of manufactured products and monitoring of the production process is the key to the success of every company. Skillful use of available technologies and quality management instruments makes it possible to eliminate casting incompatibilities and prevent their recurrence in the future. The aim of the article was to analyze the types of defects occurring in castings, locate the areas with the most frequent occurrence of defects and identify the reasons for the presence of defects in castings of bearing housings used in railway vehicles. The paper presents the usefulness of a combination of quality management instruments for diagnosing material discontinuities in the analyzed castings.
Ideas and Assumptions of a New Kind Helical Metal Expansion Joints
Authors: KURP P.
Published: July 2022

Abstract. The author of this paper presented the ideas and assumptions with regard to manufacturing and application of a new metal expansion joints type. The manufacturing technology based on a hybrid mechanically assisted laser forming method was briefly discussed. The exculpation for the development of this expansion joints type and their effect on the torques and distortions compensation occurring in industrial pipelines installations was discussed as well. Furthermore, the preliminary experimenter's research results about manufacturing of this expansion joints type were presented as well.
Influence of Operating Parameters and Selected Design Parameters of Ball Bearing on the Friction Torque
Authors: ADAMCZAK S.
Published: July 2022

Abstract. Tests were carried out to determine the influence of selected parameters under designated working conditions on ball bearings friction torque. Such parameters include roundness outline and waviness of inner and outer raceways/rings, as well as curvature ratio. In the case of operating parameters, speed and axial load were taken into account. The research presented in the article shows that these parameters have a significant impact, mainly in the case of low loads and medium speeds, and that the parameters of the inner raceway have a much greater impact on the final result of the friction torque than the parameters of the outer raceways. The studies presented below are part of a larger study aimed at creating a mathematical model to determine the theoretical values of the friction torque in rolling bearings.
On the Method of Multi-Layer Laser Micro Machining
Authors: WITKOWSKI G.
Published: July 2022

Abstract. The presented method was developed for laser micromachining of material surfaces. The method allows to the creation of a spatial structure (2.5D) with the usage of a laser beam. The method presented in the article should be classified as removal techniques using the phenomenon of cold ablation. The method can be successfully used for pico- and femtosecond lasers equipped with a galvo scanning head. The advantage of the method is that it generates trajectories and modulates beam power based on the spatial geometry of the structure contained in the 3D data exchange file. The method uses proprietary solutions allowing for proper modulation of the laser beam power depending on the required geometry. The control application for the laser device and galvo head was developed based on the National Instruments LabView environment.
Analysis of Neural Network Structure for Implementation of the Prescriptive Maintenance Strategy
Authors: FILO G.
Published: July 2022

Abstract. This paper provides an initial analysis of neural network implementation possibilities in practical implementations of the prescriptive maintenance strategy. The main issues covered are the preparation and processing of input data, the choice of artificial neural network architecture and the models of neurons used in each layer. The methods of categorisation and normalisation within each distinguished category were proposed in input data. Based on the normalisation results, it was suggested to use specific neuron activation functions. As part of the network structure, the applied solutions were analysed, including the number of neuron layers used and the number of neurons in each layer. In further work, the proposed structures of neural networks may undergo a process of supervised or partially supervised training to verify the accuracy and confidence level of the results they generate.
Analysis of Neural Network Training Algorithms for Implementation of the Prescriptive Maintenance Strategy
Authors: LEMPA P.
Published: July 2022

Abstract. This paper presents a proposal to combine supervised and semi-supervised training strategies to obtain a neural network for use in the prescriptive maintenance approach. It is required in this approach because of only partially labelled data for use in supervised learning, and additionally, this data is predicted to expand quickly. The main issue is the decision on which are suitable training methodologies for supervised learning, having in mind using this data and methods for semi-supervised learning. The proposed methods of training neural networks with supervised and semi-supervised training to receive the best results will be tested and compared in further work.
Analysis of Urban Traffic Noise at Weekends – Case Study
Authors: RADZISZEWSKI L.
Published: July 2022

Abstract. The study carried out an analysis of the urban traffic noise parameters on Sundays and Saturdays. The results of noise simulations according to the Cnossos-EU model were compared with the sound level calculated by a permanent automatic sound and traffic volume monitoring station. The variations in results were evaluated. Analyzes carried out showed that the traffic of passenger vehicles is the main source of road noise. A very good agreement of the noise values determined according to the Cnossos-EU model and the measured ones was obtained. The maximum noise values on Sundays are only slightly smaller than on Saturdays. The shape of the noise diagram and the noise values at individual hours of the day on Saturdays are different than on Sundays. An experimental model of noise variability at weekends has been proposed. The equations describing the variability of the equivalent sound level were validated. Fit factor R2 of the proposed equations to the experimental data ranges from 0.85 to 0.94.
Reading comprehension in the development of communication skills in high school students
Authors: Figueroa-Macias Esperanza Mariela , Andrade-Zambrano Carmen Dolores
Published: July 2022

The objective of the research was study reading comprehension in the development of communicative skills, to respond to the lack of attention and concentration in reading in high school students, a situation for which students present difficulties when reading or interpreting what they read causing a loss in the comprehension of texts and poor communication. The methodology used was through the quantitative method applying different techniques such as: induction, deduction, analysis, synthesis, and statistics, where a survey was applied to a population of 1644, including parents, managers, teachers, students, staff administrative and service. It was obtained as a result that a good understanding and development of communicative skills improves learning and develops the obtaining of general ideas of a text, distinguishing main ideas, critically evaluating a text and finally developing cognitive skills.
KESALEHAN LINGKUNGAN DAN KESEHATAN MASYARAKAT KAMPUS
Authors: Rahman Khalid , Hasibuan Albar Adetary
Published: July 2022

The health of the campus community is very much determined by each individual for doing, learning, and working. In the campus environment for studying and working which is thought to cause occupational diseases, so three main steps are taken, such as identification, evaluation and control of various occupational hazards and risks. This also occurs for students studying in a campus environment related to the pre-test of student conditions, the learning process, evaluation of learning outcomes and control for learning outcomes such as thought, psychic and physical. This paper aims to describe (a) What is the most influential variable for determining the health level in the campus community, and (b) Is there a relationship between the environmental godliness and the campus public health. The research is quantitative-descriptive. The research method used is a descriptive-explorative with survey. The research data was obtained through a questionnaire adjusted to indicators for measuring the health in the campus community, such as: utilization of time and balancing of life, rational thinking, physical and mental health, and social solidarity. Then the data are validated and analyzed to examine the relationship between independent variable (X) that is the environmental godliness with dependent variable (Y) that is the campus public health. Then further more this research also wants to examine relationship between the godliness sub-variables and the health sub-variables are being indicators. The results of this study have a significant relationship between environmental godliness and the campus public health in Malang. There is a strong influence of environmental godliness on the campus public health in Malang, both physically, mentally, mindly and spiritually.
INCLUSIVE EDUCATION FOR DOWN SYNDROME STUDENT: NARRATIVE STUDY AT BRAWIJAYA UNIVERSITY
Authors: Rohman Abdul , Dalle Abd. Rahman Ambo'
Published: July 2022

Abstract: Inclusive Education for Down syndrome Student: Narrative Study at Brawijaya University. This article aims to portray the role of PSLD as a study center for disability services at Brawijaya University in providing inclusive education. The method used in this article is qualitative research with a narrative approach. The results in this article include, firstly, PSLD volunteers are equipped with abilities that are by the needs of students and lecturers with disabilities as provisions for Down Syndrome students. Second, educational games are often used in the teaching and learning process, because they are considered the most effective in controlling the psychological condition of Down Syndrome students with the initials FI. Third, the patience of the FI's parents is also a crucial factor to facilitate externally FIs to complete their tasks optimally and completely
KEBIJAKAN PENDIDIKAN KEWARGANEGARAAN DALAM ERA DISRUPSI GLOBALISASI
Authors: Tektona Rahmadi Indra
Published: July 2022

Abstrak: Kebijakan Pendidikan Kewarganegaraan dalam Era Disrupsi Globalisasi. Era yang serba digital dan berkembanganya konstelasi kehidupan menyebabkan adanya perubahan dalam berbagai sektor, termasuk sektor pendidikan. Pendidikan di era disrupsi globalisasi mengalami perubahan dalam segi materi, aktivitas, dan proses pembelajarannya. Pendidikan kewarganegaraan di Indonesia sebagai bagian penting dari sistem pendidikan yang bertujuan untuk membentuk warga negara yang kompeten, adaptif, dan mampu bersaing di era disrupsi globalisasi harus berdasar pada nilai-nilai pancasila. Kebijakan pendidikan kewarganegaraan perlu melakukan pembaharuan berupa perubahan dan perbaikan secara komprehensif untuk kemajuan dalam dunia pendidikan itu sendiri.
PENGARUH PENGGUNAAN MEDIA NOVEL GRAFIS DIGITAL KERAJAAN PONTIANAK PADA PEMBELAJARAN SEJARAH TERHADAP KESADARAN BUDAYA DI SMK NEGERI PONTIANAK
Authors: Putri Astrini Eka , Firmansyah Haris
Published: July 2022

The Influence of The Use of Digital Graphic Novel Media Of Pontianak Kingdom on Historical Learning On Student Cultural Awareness in SmK Negeri Pontianak. Tradition becomes a major pointer in the content of learning history today. Character education that is the focus of national education today, in line with the goal of historical learning in general is to educate noble characters through history. The research uses quantitative methods with experimental quasi research designs.  Based on the results of research obtained from statistical tests on cultural awareness questionnaires, it can be stated that there are differences in influences on student cultural awareness attitudes between X TKJ and X Ak. This is known from sig 0.002 < 0.05. It can then be stated that there is a significant difference in student cultural awareness between X TKJ and X Ak. Therefore, it can be concluded that there is an influence on the application of digital graphic novel media based on the Kingdom of Pontianak on historical learning to cultural awareness in Pontianak State Vocational School.
Percebendo presenças
Authors: Pereira Martins Natália
Published: July 2022

Com este trabalho pretende-se analisar a presença do catolicismo num conto do livro La semana de colores (1964), da escritora mexicana Elena Garro. Com o termo presença entende-se uma referência à ideia do catolicismo que se mostra no uso de uma mídia específica, a qual leva à compreensão de sua presença na narrativa. O conto a ser analisado é “La semana de colores”, o quarto no livro homônimo de treze contos. Em “La semana de colores” enxerga-se a alusão ao catolicismo por meio do retrato do rei espanhol Filipe II. Na narrativa, o rei interage com as irmãs Eva e Leli. Pode-se entender a presença do catolicismo aqui como uma oposição à cultura indígena pré-colombiana (na qual encontram-se outros personagens e referentes no conto). Entende-se o retrato como uma mídia visual que dialoga com o conto, uma mídia verbal. Por isso, as relações estabelecidas aqui vão além da intertextualidade, podendo ser entendidas como intermidialidade. Essa configuração midiática não é casual, existe um motivo para isso, o qual seria, na compreensão da análise realizada, uma atualização da oposição entre cristão e pagão no México do século XX.
Trend analysis of Ayurveda studies in Korea
Authors:   Naturopathy Department, Dongbang Culture University, Seoul, South Korea, Cheong Mee-Sook , Kwon Sun-Mi ,   Department Natural Forest Healing Welfare, Dongbang Culture University, Seoul, South Korea
Published: July 2022

This study analyzes the trends of studies on Ayurveda in Korea. Ayurveda is a natural healing system that heals the body, mind, and soul as a traditional medicine in India. The importance of natural healing is being emphasized more domestically and internationally, and various methods and healing theories that increase an individual's immunity are being re-evaluated. Against this background of the times, it is urgently necessary to analyze the trends of Ayurveda studies. This study used domestic journals and degree theses of the Research Information Sharing Service (RISS) from January 1997 to June. The data were searched through the keywords ‘Ayurveda (Korean)’ or “Ayurveda.” For data analysis, descriptive statistical analysis was performed. As a result of the research, a total of 193 theses were published, including 57 master's theses, 28 doctoral theses, and 108 academic theses. Among the results, Mee-Sook Cheong (23 articles, 11.94%) wrote the most research papers. In terms of gender, there was a difference in the number of female researchers nearly three times that of male researchers. By the year, 2020 had the highest number of publications. In terms of study methods, there were many literature studies, followed by quantitative studies. By study institute, Changwon University produced the most master's theses and Dong-Bang Culture University had the most doctoral. In conclusion, what learned through this study was that the natural healing system of Ayurveda, a classical medicine, moved with the flow of time. The results can be concluded based on the trends of the condition of well-being and the trends within the condition of COVID-19. The results will also provide basic data for future researchers on trends in Ayurvedic studies.
COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development
Authors: Okonkwo Chinedu Wilfred , Amusa Lateef Babatunde , Twinomurinzi Hossana
Published: July 2022

Background

Coronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use an artificial intelligence (AI)–based technological intervention, such as a chatbot system. Chatbots can aid in the fight against the spread of COVID-19.

Objective

This paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status.

Methods

The design and development of COVID-Bot followed the principles of the design science research (DSR) process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot chatbot application programming interface (API) and its predefined tools, which are driven by various natural language processing algorithms.

Results

An evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8%) of the participants agreed that the chatbot functions well, 85 (80.2%) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1%) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2%) agreed that it is easy to use. The average obtained α was .87, indicating satisfactory reliability.

Conclusions

This study demonstrates that incorporating chatbot technology into the educational system can combat the spread of COVID-19 among university students. The intelligent system does this by interacting with students to determine their vaccination status.
Association of Longitudinal Changes in Depressive Symptoms with Survival Among Patients with Chronic Disease (Preprint)
Authors: Zhu Jingjing , Feng Wen , Huang Chen , Xu Jiaqin , Peng Jiahuan , Wang Ce , Qin Guoyou , Chen Jiaohua
Published: July 2022

BACKGROUND

Although depressive symptoms are common among patients with chronic diseases, empirical evidence on impact of longitudinal changes in depressive symptoms on survival of patients with chronic diseases is understudied.

OBJECTIVE

This study aimed to evaluate the association between changes in depressive symptoms and premature mortality among patients with chronic diseases.

METHODS

We included 4122 participants aged over 45 years with chronic diseases who completed the two assessments of depressive symptoms from the China Health and Retirement Longitudinal Study. Elevated depressive symptoms at baseline was defined as a score of ≥10 on the 10-item Center for Epidemiologic Studies Depression (CES-D) scale at the first interview. Changes in depressive scores over time were calculated as the difference in CES-D score between the first and second interviews. We used Cox proportional hazards model to examine the association between change in depressive symptoms and mortality among middle-aged and older population with chronic diseases.

RESULTS

A total of 380 death were observed during a follow-up up to 7 years. We found that depressive symptoms at baseline were associated with increased risk of premature mortality (hazard ratio [HR], 1.18; 95% confidence interval [CI], 0.95 to 1.46). A U-shaped association was observed between longitudinal changes in depression symptoms and all-cause mortality (P for overall association < 0.001 and P for non-linearity < 0.001) among patients with chronic disease. Compared with patients with no change in depressive symptoms score, a significantly increased risk of mortality was observed among those with a difference greater than 0, raising 7% (HR, 1.07; 95% CI, 1.01 to 1.14) at the 75th percentile of difference (adding 2 points in score) and 59% (HR, 1.59; 95% CI, 1.05 to 2.40) at the 99th percentile of difference (adding 12 points in score). Subanalysis by sex observed similar patterns in female patients.

CONCLUSIONS

We found raised depressive symptoms score during the follow-up were associated with increased risk of premature mortality among patients with chronic disease. Middle-aged and older patients with chronic illness, especially in female, with advanced depressive symptoms should be screened and treated early to reduce suffering and improve the quality of life.
An Analysis of Cultural Adaptation in the Translation of Names of Characters and Martial Arts Moves in Jin Yong’s Martial Arts Fiction
Authors: Ni Xiaodi , Tang Lijun
Published: July 2022

As the most influential and wide-spread literary genre in Chinese literature, martial arts fiction is deeply loved by the public for its distinctive narration style and language charm ever since 1960s. However, the martial arts fiction, represented by Jin Yong’s works, was neglected by Western literary and translation field. The reason lies in the abundant cultural elements contained in Jin Yong’s martial arts fictions, which is particularly true in the names of characters and martial arts moves. Therefore, how to translate such information emerges as the key to translating the full text. Legends of the Condor Heroes that is translated by Anna Holmwood is well recognized by Western world. On the basis of cultural adaptation, this thesis aims to explore the translation strategies that were adopted from the perspective of adaptation to different sense of nature, religious culture, custom and tradition as well as appreciation of the beauty. This paper finds that cultural adaptation effectively guided the translation when Holmwood deals with heterogenous cultural elements. Besides, cultural adaptation can facilitate the translation and oversea introduction of the same literary genre, and it can also promote “Chinese culture goes global”.
Crop Yield Prediction Using Machine Learning
Authors: M Gagan , Reddy Ganta Narendra , S. A Kethan , K Kiran.
Published: July 2022

Abstract: Agriculture yield increase and agroindustry goods account for the majority of India's economy. They are the economic backbones of agricultural countries. Yield prediction is a crucial topic in agriculture. Any farmer wants to know what kind of harvest he may expect. Analyze the numerous connected parameters that are utilized to determine the alkalinity of the soil, such as location and pH value. Additionally, third-party apps such as APIs for weather and temperature, type of soil, nutrient value of the soil in that place, quantity of rainfall in that region, and soil composition are used to compute percentages of nutrients such as nitrogen (N), phosphorus (P), and potassium (K). To develop a model, each of these data properties will be evaluated and trained using various machine learning methods. The system includes a model that is precise and reliable in forecasting crop output and providing proper fertilizer ratio recommendations based on atmospheric and soil data. Farmers may also learn which crops are in great demand so that they can be readily produced. This application might be beneficial to all farmers who want to know which crops can be grown in various places or soils in order to optimize their profitability
An Enhanced Question Pair Similarity Using Machine Learning Approaches
Authors: Bhutada Dr. Sunil
Published: July 2022

Abstract: Quora is a place to gain and share knowledge—about anything. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn from each other and to better understand the world. Currently, Quora uses a Random Forest model to identify duplicate questions. Tackling this natural language processing problem by applying advanced techniques to classify whether question pairs are duplicates or not, so will make it easier to find high quality answers to questions resulting in an improved experience for Quora writers, seekers, and readers. We by enhancing the features level by level in each system of total 3 got the XG Boost algorithm as the best model in order to solve such problem, not only in the case of Quora but also with the Stack overflow, medium etc
Any Time Medicine Vending Machine
Authors: M Anusha
Published: July 2022

Abstract: This paper describes the design of any time medicine vending machine as a health device for the purpose of person who in need of medicines and its assistance. This device mainly consists of a card reader and the dispenser which comprises the automatic medicine vending machine through the dispenser as per the doctor’s e-prescription updated into smart card. This vending machine is controlled by the Arduino board which is a single board computer and it can be aspect from online portal for the need person to check his e-prescription and the doctor to generate or update the prescription. When the patient swipes his smart card into the card reader, this device dispenses out the prescribed medicine for the need person only when the user credentials of the patient is validated from the e-prescription. The online portal is made on a telegram and connected to the same user credentials, and even though the patient can view his details and the prescription by logging in with are credentials into the same web page
Vision Based Banknote Recognition System
Authors: S Rajeshwari
Published: July 2022

Abstract: People who are visually impaired face great difficulties in recognizing banknotes for day-to-day transactions as the texture and shape of many banknotes are very similar. Also, the Indian currency system does not have a separate banknote in circulation that might help people who are visually disabled. This paper presents a real-time Indian currency detection system for visually impaired persons. The proposed work makes use of the vision-based system to facilitate the visually impaired people to prosperously recognize banknotes. In this paper, a recognition system is implemented by making use of various machine learning and deep learning approaches which can produce an accuracy of up to 90%. In this system, totally two experiments are carried out on the banknote’s image. The first one is the analysis of the different regions of the banknote, the second experiment is the examination of the banknote image which was captured using a camera in a regulated environment. Our system is extended to support the visually impaired people by executing a “Voice-based assistance system” which would help us in giving the voice output. This system can identify all the seven banknotes used in India and exhibit the result with both textual and auditory output. People who are visually impaired will be able to easily use it in daily transactions.
Augmentation of Blockchain and 5G in Green Computing
Authors: Tyagi Bhaumik , Ali Sayyed Ashar , Attri Dr. Shree Harsh
Published: July 2022

Abstract: Green Computing (GC) is a step toward environmental sustainability. More precisely, it is entirely about utilizing power on the way to carry out processes in the maximum green manner. With increasing energy costs & rising ecological apprehensions, green computing is getting additional consideration. The Blockchain (BC) has emerged as a favourable implementation for decentralized, Peer-to-Peer (P2P) transparent ledger systems. 5G is the latest development in an exceedingly wireless communication network. The flexibility of 5G with BC allows many applications to become fast, clear, significant & harmless for transmission of data in this smart era. Both technologies can give green solutions to the environment. In this very research paper, convergence of BC and 5G is and integrating it with Green Computing Approaches is shown via proposed model. With use of Network Slicing approach of 5G and Sharding approach of BC, their significance in decreasing computational power and energy usage is shown. Also, major focus is on the “Green Use” approach of green computing. A hypothetical model is proposed by converging Blockchain and Fifth Generation with Green Computing. Objective is on the physical hardware services layer of green computing which will directly impact physical environment in order to give ecofriendly solutions to sustainable projects.
Animal Tracking and Alert System
Authors: M B Suresh
Published: July 2022

Abstract: The purpose of this system is to protect animals and human beings. The working of this project starts with when the IR sensor placed in our device that is Raspberry pi detects any animals moving around then enables camera and send the captured image to respective person. This project has its application in various fields like forest, farming, zoo and so on.
Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulation
Authors: Mannan Mohammed Abdul , H. N. Dr. Md Fakhruddin
Published: July 2022

Abstract: Computational fluid dynamics (CFD) is a field of mechanical engineering for the analysis of fluid flows, heat transfer, and related phenomena, using computer simulations. CFD is a widely adopted methodology for solving complex problems in many areas of modern engineering. The merits of CFD are the development of new and improved equipment and system designs, and optimizations are performed on existing equipment through simulation, leading to increased efficiency and reduced costs. However, in the biomedical sector, CFD are still emerging. The main reason why CFD in the biomedical field lags behind is the enormous complexity in the workings of human body fluids. Recently, biomedical CFD research has become more accessible as high-performance hardware and software are readily available because of advances in computing. Every CFD process contains three main components that provide useful information, Pre-processing, formula resolution, and post-processing. Precise initial boundary conditions and geometric models are essential to obtain appropriate results. Medical imaging, like ultrasound imaging, computerized tomography, and resonance imaging can be used for modeling, and Doppler ultrasound, manometers, and noninvasive manometers are used for flow velocity and pressure as boundary conditions.
IOT based soil NPK monitor via Asynchronous Web-Server using NodeMCU
Authors: Mohammed Muzakkiruddin Ahmed , Sanjay Singathi
Published: July 2022

Abstract: The process of transforming on agricultural production and farming is rising and expanding as a result of the increasing need for food. Utilizing IOT in agricultural and crop production will increase its dependability for farmers, which is a pressing necessity. Crop yield must be enhanced as a result of the population's fast growth. The soil content N (nitrogen), P (phosphorus), and K (potassium) such as are more crucial for producing crops that are more productive. We can assess the crops's rate of nutrient absorption based on the minerals found in the soil. Agricultural yield suffers as a result of the low supply of nutrients. The term "macro nutrients" refers to the main nutritional requirements for required plant development. But for greater development, the proper balance of fertiliser is needed. Due to poor crop yields, labour shortages, high labour costs, a lack of knowledge about advanced cultivation techniques, excessive utilisation of chemical fertilisers and pesticides, and other physical factors, farm owners are experiencing numerous difficulties, and the percentage of agriculture practise has been rapidly declining well over recent years. Producers must've been aware of the quantity of soil nutrients existing in their field in order to limit the abuse of chemical fertilisers. Most farmers don't show any interest in transporting soil samples to testing facilities and waiting for the results, which would be the usual technique for evaluating the level of soil nutrients. Smart farming is the solution to the issues the sector is now experiencing, with a priority on fostering innovation and creativity within agro and crop production. Sensors and IOT devices can be used for that too. Agricultural workers could very well monitor their agricultural production, crops or farm lands and obtain the necessary information and data. Well with support of sensor systems, microcontrollers, web servers IOT unites the entire system. This nutrition monitor displays the elements like nitrogen, phosphorus, and potassium. The ESP8266 NodeMCU would also have to be linked to users local area network in order for user to develop a responsive ESP8266 NodeMCU web server that can be accessible from any device that has a web browser using the Arduino IDE. This implies that the smartphone or PC must be linked to the same network as the ESP8266 NodeMCU device.
Analysis on Reaction of Covid 19 Vaccinations
Authors: Rao Mr. K. Rajashekar
Published: July 2022

Abstract: The effect of vaccination coupled with the behavioural response of the population is not well understood. Our model incorporates two important dynamically varying population behaviours: level of caution and sense of safety. Level of caution increases with infectious cases, while an increasing sense of safety with increased vaccination lowers precautions. In this we are propose unsupervised machine learning algorithm called KMEANS clustering to predict people’s reaction on COVID19 vaccines. To implement this project we are using tweets dataset on COVID19 vaccines from KAGGLE website. If Dataset contains unstructured text data and then by applying NLTK and then will extract peoples sentiments describe in each tweet and then generate train and test data for unsupervised clustering. After divide dataset into train and test where application used 80% dataset for training and 20% dataset to calculate clustering algorithm prediction accuracy. Finally our proposed model will predict people’s response from each tweet.
AlexNet and DenseNet-121-based Hybrid CNN Architecture for Skin Cancer Prediction from Dermoscopic Images
Authors: Gupta Preeti , Mesram Sachin
Published: July 2022

Abstract: Skin cancer, one of the most common cancer types, has increased in prevalence during the past several decades. In order to properly care for patients, it is essential to appropriately identify skin lesions in order to differentiate between benign and malignant lesions. Although there are several computational methods for categorising skin lesions, convolutional neural networks (CNNs) have been shown to perform better than conventional techniques. In this study, we propose a hybrid CNN model for classification of skin cancers using dermoscopic images. To create a hybrid model for classifying skin cancers, we combine a pre-trained AlexNet CNN model with an optimised pre-trained DenseNet-121 CNN model. In this study, we put the suggested hybrid CNN model to the test using dermoscopic images from ISIC 2016–17. When evaluated on the ISIC Dataset, the suggested technique achieves extremely excellent classification performance, with an accuracy of 0.9065.
Anti-Theft Alert System for Smart Vehicles
Authors: Meshram Sanket
Published: July 2022

Abstract: In today’s world security of vehicle is become matter of concern. The proposed system is used for security of the vehicle and tracking the vehicle if the vehicle get stolen. Hardware contains Arduino microcontroller, USB cable, GPS. Aurdino microcontroller connected with GPS which will be connected with the vehicle. User will be able to get the location via email. Also specific range is set around the vehicle, only if the vehicle gets out of that range it will gives alert to the owner, if not then there is no disturbance of giving random alerts to the user. Another feature which is face recognition used for unlocking the vehicle. User will be able to unlock the vehicle with his face. if the face is not matched with the image which is in the system, microcontroller will click the image of that person & also send alert massage to the owner’s email.
Design and Analysis of Cost reduced Diesel Exhaust Aftertreatment system against Flex Module
Authors: Kumar Mukesh
Published: July 2022

Abstract : This research paper represents Designing of Cost reduced Diesel Exhaust Aftertreatment system against existing Flex Module aftertreatment system. Methods represents the steps to design new cost reduced Aftertreatment system. Study involves how new design is still meeting existing space claim and meeting all performance requirements. Simsolid software were used to calculated Modal and Static structural analysis to compare both the designs & ARAI test facility has been used to validate new deign meets Emission compliance as per BS6 Limit for MHCV Norms.
Seismic Impact of LRB-based Base Isolation on Stepped Buildings
Authors: Kumar Sooraj
Published: July 2022

Abstract: The base isolation design strategy uncouples the superstructure from the foundation, reducing the effects of earthquake ground motion. The structure is isolated from the ground motion by a flexible base. Installing base isolators in columns, the base shear values. The structural response accelerations are usually less than the ground motion acceleration. In general, base isolation reduces storey shear and acceleration while simultaneously increasing time period, storey displacement, and storey drift, allowing rigid buildings to be more flexible by dispersing energy to the foundation. The basic seismic isolation design provides a shielding technique, allowing the structure to function without harm even after significant earthquakes. The current study explores the seismic effects of a G+6 stepped building with an LRB isolator. An isolator with a lead rubber bearing was used. E-tabs is used to conduct the base isolation study and seismic analysis. The reaction of the structure, including time period, and Lateral shear force, was observed. This paper presents time-history Analysis and performance assessment analyses on a base isolated stepped building.
Study on the Shear Capacity of Concrete Beam Reinforced with Glass Fiber Reinforced Polymers Grid Reinforcement
Authors: P Burhana , KK Divya
Published: July 2022

Abstract: Fiber Reinforced Polymer (FRP) composites have been widely used as a high-performance material in concrete structures as replacement of commonly using materials Corrosion of the internal reinforcing steel is the main cause of deterioration in reinforced concrete structures. This steel in reinforced concrete structures has cost a significant amount of resources globally over the past, also expensive as compared to FRP. Glass fiber reinforced polymer (GFRP) bars have been introduced as a light-weight, corrosion resistant FRP material which can be used as replacement for traditional steel reinforcing bars and stirrups in concrete structures. Glass fiber reinforcement polymer (GFRP) bars are also feasible and cost effective FRP products commercially available with significant cost advantage over stainless steel. The aim of this paper is to let engineers gain a better knowledge of the overall behaviour of GFRP as internal reinforcement so that they have more confidence using it as a sustainable material. In this study GFRP is used as longitudinal reinforcement and GFRP grid is used as stirrups A Finite Element (FEM) model has been developed using ANSYS 21 to analyses beams. For these six concrete beams, including one steel reinforced concrete (RC) beam and five beams with GFRP grids laid parallel to longitudinal axis was tested until failure. Parametric study on shear span ratio is conducted in four specimens. Load deflection curve are noted in each specimen analytically by using ANSYS software.