bluuebunny/crossref_metadata_2025 huggingface dataset:
Dialysis Water Quality and Its Impact on Maintenance for the Hemodialysis Community
Authors: T Kiran , Kaushal Jyotsna
Published: April 2022

The quality of water for hemodialysis (HD) is a concern for all dialysis centers because of its impact on the health of HD patients. There are guidelines by the Association for the Advancement of Medical Instrumentation (AAMI) for maximum limits for chemical contaminants, bacterial colony-forming units, and endotoxin limits. But some of the contaminants like fungus and algae are still missing from guidelines. Impurities in dialysis water can lead to many health issues among the HD community and it can increase the mortality rate as well. The present paper focuses on the different contaminants in dialysis water and their health impacts on the HD community.
Economical Concrete Cube Prepared Using Different Types of Nano-Material for Sustainable Construction
Authors: D Raghavendra Prasad H , Sitaram Nagaraj , S Pavan P , R Dushyanth V BABU
Published: April 2022

In this research work concrete cube has been prepared by doing partial replacement for cement using nano materials like Multi-Walled Carbon Nano Tubes (MWCNTs), titanium dioxide (TiO2), and copper oxide (CuO) at different percentages like 0.1, 0.25, and 0.5%. Basic test has been done for materials and fresh concrete, followed by compressive strength test for concrete cubes. MWCNT gives more result compare to TiO2 and CuO. Just to reduce cement usage, fly ash has been used by keeping the compressive strength and the amount of nano materials as constant up to 35% of MWCNTs, TiO2, and CuO, with fly ash replaced for cement to obtain the normal strength. Cost analysis has been done to find out the economic efficiency of nano material concrete cube due to which TiO2 with fly ash cost 14.45Rs to prepare single cube, as MWCNTs and CuO with fly ash cost 726.4 and 17.64Rs to prepare single concrete cube. Almost TiO2 cube preparation took 10% reduction for the preparation of concrete cube compare to normal concrete cube has taken 15.96Rs. So we concluded that TiO2 with fly ash nano material concrete is the economical efficient concrete compared to MWCNTs and CuO with fly ash.
Role of Ecotourism in Making Chandigarh a Sustainable City
Authors: Aggarwal Pranav , Puri Deepika , Kalra Sushil , Kumar Naveen , Kaushal Rajesh Kumar
Published: April 2022

Tourism plays an important role not only as a source of generating revenue, but also is directly linked with the development local people, their growth, and generating employment. There is need for simple tourism to be converted into ecotourism. This will not only transform the place into sustainable city but also help the local people to grow. A survey was conducted in Chandigarh through a structured questionnaire, where the respondents showed significant relation between ecotourism and environmental sustainability, as well as ecotourism and social sustainability.
A Knowledge, Attitudes, and Practices (KAP) Survey to Find the Impact of Mobile Application Among Maternal Hypothyroidism Patients
Authors: A Shaima K , Garg Nidhi , Arora Sandeep , Jose Jyoti mary
Published: April 2022

Pregnancy is a time during which one or more fetus grow inside mother’s womb. Pregnant women may affect physiological stress during this period. When the pregnancy accompanied with some endocrine disorders, such as hypothyroidism, may severely produce maternal and fetus adverse outcomes. This KAP (knowledge, attitude, and practice) study was designed to find the impact of “Maternal GDM hypothyroidism information app” among maternal hypothyroidism patients. A self-designed questionnaire was filled by patients (intervention and control) before and after implementation of software. The between response consistency measurement of whole questionnaire and individual questions was carried out by Cronbach’s alpha. After analyzing questionnaire, Cronbach score was found to be 0.688(~0.7). The Cronbach score showed that good homogeneity in the questionnaire. 1,2,3 trimester pregnant women with age greater than 18 years and having the facility of android mobile phone as well as usable internet access were included in the study (n=95). The study concludes that the maternal hypothyroidism mobile application and patient counseling by clinical pharmacist displayed good impact on KAP of the patients and improved health outcomes.
Telecommuting and Job Satisfaction: A Gaze to the Filipino Working Life in Era of Turbulence
Authors: Leuterio Herlan P.
Published: April 2022

The study examined the job satisfaction of Philippine employees in the factors of the Work-from-Home arrangement in both public and private sector. A combination of convenience and random sampling was employed in identifying the sample. Analysis of the data revealed that the survey with 587 Philippine employees show that the work-from-home setup in the Philippines is satisfactory. The factors of “Reduced Commuting Time and Expenses,” “Increased Family and Leisure Time,” and “Flexibility and Freedom in Working Hours” are the most satisfying WFH factors that employees are getting from their organizations. Meanwhile, “Internet Connection and Equipment,” “Workload and Pressure,” “Less Stress from the Environment,” and “Social Connection” are the least satisfying. In terms of demographics, region, age, civil status, and number of children shows significant differences in majority of the WFH factors. The highest satisfaction comes from the employees in Visayas in terms of island group, public sector in terms of job sector, 50 and above in terms of age, male in terms of sex, married employees in terms of civil status, 3 to 4 children in terms of number of children, and those who telework often in terms of WFH frequency. With regards to the relationship between job satisfaction in the WFH factors and commitment to continue to work from home, the results showed that the relationship is significant and very strong. Lastly, the relationship between job satisfaction in the overall working condition and commitment to continue to work from home is also significant and very strong.
The Digital Modernization and Necessity of Electromagnetic Compliance: Concern about Human Well -Being in Future
Authors: K Ramya , G Janaki
Published: April 2022

Digital Modernization and Digital Transformation have become a predominant source of Electro Magnetic Interference (EMI) in today’s world. The DC-DC Converters market is also expanding due to the emergence of digital market. DC-DC converters produce lots of EMI and affect the performance of neighbouring sensitive systems. It is very important to comply with specifications to ensure electromagnetic compatibility (EMC) standards by prioritizing the sustainability and incorporating the social responsibilities for the human well-being. It’s really a great challenge to the design engineers to give a best solution to EMI and at the same time producing a cost-effective system. During the development of a new system itself at most care need to be taken to prevent EMI. Numerous design methods, simulation tools are available to predict the noise level and provide feasible/reliable solutions to the problems at low cost. In-spite of that, there are some deviations in the end results in reality compare to the simulated values. This research paper focuses on the quick review of EMI, EMC standards as well as the comparative analysis of simulated measurements of a different design Buck-Boost DC-DC converter.
Effectiveness of Structured Teaching Program on Knowledge Regarding Bird Flu and Its Prevention
Authors: Jaspreet Kaur M , Balasubramanian N , Malhotra Reetu
Published: April 2022

The current study was carried out to assess the efficacy of a systematic teaching programs on information about bird influenza and its prevention. An educational and evaluative research method, pre-experimental, with the pre-test, post-test for one group was chosen. The primary research was carried out by the Ambika college of Nursing, Kharar, Mohali, Punjab. The participants were selected using non-probability and convenience sampling techniques. The pre-test was evaluated using a an interview schedule that was self-organized. The post-test was administered after one week of conducting a an organized teaching program. Data was analyzed using descriptive and inferential statistical methods. Paired tests using the 't' were used to determine the differences between the pre-test and post-test scores and was it was found to be pertinent. Chi square test utilized to establish the connection between socio-demographic variables and knowledge level. The results showed that there was not a significant relationship between socio-demographic variables and knowledge level.
English Literature: Why-What-How Concept
Authors: Swain Mahendra , K Srividya Lakshmi , Kashinath Bansode Shailendra , M S Gopika
Published: April 2022

The importance of learning English and English literature tend to pose considerable questions about the advantages. Why do students who study English simultaneously need to learn English literature? The last thing is the same thing. What is the center of the learning of the subject? What is the relation between them? What, when, and how are we aware of that?
Design of a Low-Noise Low-Power Fourth Order Complementary Super Source Follower Filter for EEG Applications
Authors: Thakur Diksha , Sharma Kulbhushan , Sharma Rajnish
Published: April 2022

Design of a filter for biomedical application is a challenging task owing to its low-power and low-noise values introduced at low frequencies. This paper describes the design of a Complementary Super Source Follower (CSSF-C) Low Pass Filter (LPF) circuit and the same has been compared with Complementary Source Follower (CSF-C) LPF targeted for the detection of EEG signals. Simulated results obtained in Cadence Analog Design Environment using CMOS 0.18 µm technology node shows the CSSF-C LPF circuit emulates gain of -528 mdB, bandwidth of 100 Hz, power consumption of 12.6 nW from 0.5 V supply voltage. Further, the proposed LPF circuit is capable of achieving Dynamic Range (DR) of 63 dB with an Input Referred Noise (IRN) of 36 µVrms. The proposed CSSF-C LPF is expected to improve the quality of acquired EEG signals.
IoT Based Patient Vitals Monitoring System
Authors: Rajagopal Sivakumar , Jami Anusha , Gayathri Gunta , Koshe Saloni , Khandekar Shreyas Neeraj
Published: April 2022

In this paper, we have designed the IoT system primarily based on patient health observation using ESP8266 and Arduino. An IoT cloud platform is utilized in this project. It endlessly monitors the heartbeat rate associated with close temperature and updates them to an IoT platform. The Arduino Sketch running over the device implements the varied functionalities of the project, passing them to the IoT platform, and displays measured heart rate and temperature on the character liquid crystal display.
Global Offshore Wind Scenario: A Review
Authors: Hote Kaushal , Kaushik Riya , Tasnin Washima
Published: April 2022

Every single ecosystem and environment is on the brink of destruction due to the adverse effects of global warming and pollution caused by the millions of machines and power plants operating all around the world, which primarily use fossil fuels, generating mammoth amounts of greenhouse gases. It is high time that we take action against this ruthless destruction by substituting conventional fossil fuels with green energy sources to generate power. This paper analyzes the current and past trends and developments in the offshore wind energy sector, all across the major regions of the globe, along with transmission, grid and novel power electronic converters, and wind turbine technology. Economics and life cycle assessments have been included to give an overall idea of the economic and financial side of the offshore wind farm sector.
Synthesis of Aromatic Hyperbranched Polymer Based on Diphenolic Acid and Pentaerythritol: Reaction Kinetics Using FTIR Technique
Authors: Gunasekhar R , Manjula Dhevi Dhevagoti , Ponnan Sathiyanathan , Anand Prabu Arun
Published: April 2022

Hyperbranched polymers (HBPs) are a common type of soft nanomaterial, but creating them from readily available monomers with a well-defined dendritic structure is difficult. Advances in the quantitative description and control of hyperbranched fine topological structures will aid their development and application in a variety of fields, including traditional polymer materials and engineering as well as energy materials, and optoelectronic materials and devices. Using a sequential polycondensation technique based on commercially accessible monomers, we present a one-pot synthesis of aromatic HBP with configurable structure and high degree of branching. Generation 1 (G1) aromatic HBP (Ar.HBP) based on diphenolic acid and pentaerythritol has been synthesized in the presence of p-toluene sulfonic acid as catalyst. Kinetics reaction was monitored using FTIR spectroscopy. –C=O absorption band of ester was used to track the conversion of acid to ester. The reaction of Ar.HBP-G1 synthesis takes approximately 21 h for completion according to kinetic parameters computed from IR spectral data.
Current Developments in Conductive Nano-Inks for Flexible and Wearable Electronics
Authors: Kn Hima Priya , CS Meghana , Karunakar Raju Neha , SP Shilpa , MR Yashaswini , C Manjunatha
Published: April 2022

Nanoparticles are progressively being incorporated into the printing industry and research is underway to enhance their use to boost innovation and competitiveness. Precursors or metallic nanoparticles replace ink pigments in printed electronics, imparting electrical conductivity to the resulting printed patterns. Many types of conductive inks have diverse characteristics that are best suited to specific applications and have different preparation techniques. Conductive inks are a pertinent element of the broader functional printing area, which is currently expanding and is seen as one of the most pertinent future technologies in the printing industry. In this review, the aspects of selecting, functionalizing, and making nanomaterials based conductive inks for printable, flexible and wearable electronics. Various methods and mechanisms for developing conductive inks based on nanomaterials, such as Ag nanoparticles, Cu@Ag core-shell nanoparticles, graphene conductive ink, biocompatible CNT ink, conductive indium tin oxide (ITO), proposed by various research groups are summarized. We have also attempted to provide insights into enhancing printing ink parameters such as uniformity, flexibility, resolution, and durability which are considered to be very important aspects for any printable inks. Finally, the applications of the conductive ink in thin film transistors (TFT), dye sensitized solar cells (DSSC), Radio Frequency Identification (RFID) tags, and sensors are summarized.
Laser Assisted Synthesis of Surfactant-Free Au-Ag Alloy Nanoparticles in Water
Authors: Fathima R , Mujeeb A
Published: April 2022

Surfactant-free nontoxic Au-Ag alloy nanoparticles were synthesized via re-irradiation of laser generated mono metallic colloidal mixtures with 532 nm radiations from Nd: YAG nanosecond laser. The impact of re-irradiating laser energy in alloy formation kinetics was investigated. The alloy formation process was analyzed with UV-Visible absorption spectra at different time intervals of laser irradiation. The generated nanoparticles were characterized with dynamic light scattering size analysis, zeta potential studies, and HRTEM imaging. Photothermal properties of the samples were investigated employing thermal lens method. Alloy formation became faster with a slight blue shift in the plasmonic band wavelength with increase in irradiation energy. Reduction in nanoparticle size and stability were also observed at high irradiation energies.
A Mini-Review on the Synthesis, Characterization and Applications of End-capped Hyperbranched Polymers
Authors: Gunasekhar R , Indumathy B , Ponnan Sathiyanathan , Arun Anand Prabu
Published: April 2022

According to our exhaustive examination of the literature on hyperbranched polymers (HBPs), the majority of published reviews have focused solely on their production or uses. We anticipate that the various end-capping procedures will increase the use of end-capped HBPs for a variety of applications. This review paper is organized in the following order: general HBP structure, different end-group functionalities and end-capping pathways, associated obstacles, and future research scope. The role of HBP end-group functionalities in numerous industrial applications is our first goal. Our second goal is to investigate the differences in material properties before and after HBP end-capping. From applications point of view, end-capped HBPs have found use in storage devices to catalysis. Challenges and perspectives for future developments are discussed. Overall, the structural properties of end-capped HBPs will be of interest to academics working in this field as a result of the alterations described in this review paper.
Applications of Permaculture in Terraforming the Ecology of Arrakis in Frank Herbert’s Dune
Authors: M S Shajith , G Bhuvaneswari
Published: April 2022

Frank Herbert’s magnum opus, namely the eponymous first novel in the Dune series, tells the story of the house of Atriedes. Right from the start, the members of this line are beset by misfortune, that ranges from assassination attempts to coups. Apart from that, the patriarch of the family, the Duke Leto Atriedes, is seen by the Padishah emperor, Shaddam Corrino IV, as a threat to his reign. In order to get rid of the duke and his family, he sends them en masse to the desert planet of Arrakis. This paper aims to analyze the terraforming techniques used by Pardot Kynes in Dune and compare them with the techniques used by permaculturists to regenerate failing ecosystems. This in turn will highlight some similarities between real-world incidents pertaining to the environment and the conditions on Arrakis, and in turn lead to an ecocritical understanding of the text.
Electronic and Heat Capacity Calculation of Valence Fluctuating YbPd Single Crystal
Authors: Bhardwaj Purvee , Paliwal Neetu
Published: April 2022

Inventive calculations were executed for electronic and heat capacity calculations of valence fluctuating YbPd single crystal. By means of Wien2k code, this study has been acted upon. Having a rich variety of physical phenomena, YbPd compound focused to a great extent attention. This compound publicized peculiar possessions attributable to the mixed valence state of the Yb ion. The deliberated bend over of the primary band cram agreed well with the available consequences.
Study of Public Awareness about Immunity and Immunity Boosters Against Covid-19 in India
Authors: Thukral Prachi , Chowdhury Ruchita , Chaudhary Vishal , Gautam Akash , Prasad Pankaj
Published: April 2022

Since December 2019, the world has been under emergency due to novel coronavirus disease (Covid-19). Due to a lack of powerful preventative strategies (such as vaccinations) and pharmaceutical treatments, various preventive techniques have been implemented worldwide. Boosting the immune system is one of the most popular tools which has gained worldwide attention. However, the general public's impression is tainted by a lack of understanding of immune-boosting strategies and timetables. We carried out questionnaire-based research in India to assess people's actual knowledge of immunity and immunity-boosting techniques. The data analysis highlighted the idiographic convolutions in comprehending the various essential aspects affecting these people's immunity perception. The findings show that the general population understands the need to have a healthy immune system to combat any disease. More focus, however, is needed on false immunity-boosting claims and the careful implementation of immunity-boosting methods with professional advice. The study has the potential to address bottlenecks in reaching sustainable development objectives, notably United Nations’ sustainable development goal three, which is Health and Well-being. Ensuring healthy lifestyles and encouraging well-being at all ages is critical to long-term development. The world is currently experiencing a global health catastrophe causing human distress, undermining the global economy, and upending the lives of billions of people worldwide.
A Systematic Review on Prognosis of Autism Using Machine Learning Techniques
Authors: Malviya Meenakshi , J Chandra
Published: April 2022

Quality of life (QoL) and QoL predictors have become crucial in the pandemic. Neurological anomalies are at the highest level of QoL threats. Autism is a multi-system disorder that causes behavioural, neurological, cognitive, and physical differences. Recent studies state that neurological disorders can result in dysfunction of brain or whole nervous system, which may cause other symptoms of Autism. The paper focuses on reviewing various Machine Learning techniques used for diagnosing Autism at an early age with the help of multiple datasets. The study of brain Magnetic Resonance Imaging (MRI) provides astute knowledge of brain structure that helps to study any minor to significant changes inside the brain that have emerged due to the disorder. Early diagnosis leads to a healthy life by getting timely treatment and training. "Early diagnosis of Autism Spectrum Disorder" is an objective and one of the prime goals of health establishments worldwide. The research paper aims to systematically review and find which machine learning algorithms are efficient for prognosis of Autism.
Role of Education in Sustainable Development Goals
Authors: Singh Alok Kumar , Singh Bimlesh
Published: April 2022

Education is a very vast subject. India in the 21st century is surging ahead through its innovative flagship programs to achieve SDG on education by 2030. The main focus of the paper is to show the role of education on sustainable development and challenges to quality education. Also, the performance of states and union territory on indicators of sustainable development goals on quality of education which includes eleven different indicators with different all India level target to achieve and the actual target achieved against it. The SDG index score on the performance of the states are provided to show the status more clearly. The paper will briefly discuss all the indicators from 4.1 to 4.7 and 4a to 4c to show the progress of sustainable development goals in India.
Examining and Enhancing the Available Khadi Products with the Reference to Consumers Perception
Authors: Bhalla Garima
Published: April 2022

Khadi, known as “Khaddar,” was a fabric important for both masses and classes. Khadi was considered the spirit of life where the people and communities united together and participated in the Swadeshi Movement that contributed to the social, environmental, and economic sustainability of India. Since the production process is manual, it makes it a source of being self-reliant and economically empowered. It remained as one of the favorite and purest form of handmade hand-woven fabric of India until various brands emerged as a result of industrialization and globalization. Due to this today, this fabric is considered as a low-quality fabric, outdated, and has an old-fashioned image. This paper deals with collection of primary data by means of an interview schedule and observation techniques of the Khadi stores at Pune and data analysis through consumer experience to find out the awareness, causes, and expectations behind why Khadi is being neglected and is an attempt to provide design solutions that the younger generation will take up readily.
Structural, Electronic, and Opto-Electronic Properties for BiVS4 Photocatalyst Effort on Wastewater Treatment with Comparison a Standard Photocatalyst BiVO4 through the First Principles
Authors: Kumer Ajoy , Chakma Unesco , Alam Md. Monsur , Chakma Purak , Islam Md. Shariful , Khandaker Nusrat Zahan , Hossain Tomal , Chowdury Al-Nakib
Published: April 2022

The electronic structure and optical properties of BiVS4 were calculated and compared with the parent crystal BiVO4. First of all, the Five functionals, such as GGA with PBE, GGA with RPBE, GGA with PW91, GGA with WC, and GGA with PBEsol, were used for primary screening of electronic band structure at 2.418 eV, 2.474 eV, 2.389 eV, 3.385 eV, and 2.375 eV, and band gap for BiVO4 at 0.285 eV, 0.314 eV, 0.267 eV, and 0.261 eV and 0.250 eV, respectively. As the GGA with PBE method is the most accepted functional, the optical properties, density of state, and partial density of state are calculated using this method. Finally, the absorption energy and catalytic energy have illustrated by the interaction of methylene blue dye and catalysts (BiVS4, and BiVO4).
Effective Coloring in Intuitionistic Fuzzy Graph
Authors: Revathy P , Kalaiselvan S , Nithya M
Published: April 2022

The coloring is one of the most famous research topic in graph theory. Nowadays, researchers develop the area of coloring in fuzzy graph. In this paper, we will develop the concept of effective coloring in IFG. In an Intuitionistic Fuzzy Graph (IFG), an effective coloring function is a mapping such that it is an effective edge in. In this research, the notion of effective coloring is introduced. Further investigate an effective coloring in operation of IFG, like join, strong product, semi product, composition, etc.
Recent Advances in Nanomaterials Used for RFID Technology and Their Applications
Authors: B Sudarshan , BS Shantanu , S Srivaths , S Neethu , C Manjunatha
Published: April 2022

This study reviews RFID technology and its applications in the real world. RFID technology has been around for a long time. Yet, it hasn't been implemented on a large scale due to numerous reasons in the past. Now, RFID technology is considered as a means to handle supply chains during the pandemic situation. RFID is a subpart of printed electronics that use organic and inorganic materials to create electronic ink. The area of nanoparticles has contributed immensely to RFID as carbon nanotubes are being used extensively in RFID systems. RFID systems have many applications in healthcare and medical fields, agriculture management, food processing, library management, highway toll system, and supply chain management. This paper describes some of the nanoparticle inks and methods of printing. It also discusses some of the applications of RFID technology in the fields mentioned above. Aftereffects of the survey and bibliometric examination reveal that RFID research has attracted significant attention from the SCM and logistics community, medical community, and food processing community. To the best of the authors' information, the current review is one of the few attempts to investigate materials used in RFID technology and its applications using an exhaustive set of articles published during the past decade.
Entropy Analysis on Pulsatile Flow of Couple Stress Nanofluid in a Vertical Channel: Buongiorno Nanofluid Model
Authors: S Rajamani , Anala Subramanyam Reddy , S Srinivas , K Jagadeshkumar
Published: April 2022

The current work discloses the hydromagnetic flow of pulsating couple stress nanofluid in a vertical channel. The Buongiorno nanofluid model is employed in the present study with the entropy generation. The impressions of Ohmic and viscous dissipations, thermophoresis, thermal radiation, and Brownian motion are considered. The ruling partial differential equations are reduced into the set of ordinary differential equations by employing the perturbation method and then solved by utilizing the fourth order Runge-Kutta procedure with the support of shooting technique. The current concept is noteworthy in the field of energy conservation, dynamics of physiological fluids, and biomedicines. The influences of emerging parameters concerned with the current model on flow variables like velocity, temperature, and nanoparticle concentration are analyzed in detail and interpreted with pictorial illustrations.
Waste Management, Blend of Design and Social Connectivity in the Creation of a New Product Range Using, Godhadi Quilting Technique from the State of Maharashtra.
Authors: Khonde Shashwati , Chaugule Reema
Published: April 2022

The increasing pressure on exhaustive natural resources in the current fashion model is leading to the rise of other enormous issues such as the disposal of fashion products. This has sparked the need for a circular concept to minimize wastage. Godhadi, traditional upcycled quilts of Maharashtra, is getting scarce owing to its low commercial viability and social stigma, is hence a solution to create new products using the upcycling technique as well as its higher social impact of community upliftment. The objective of this research involves developing a range of prototypes, using Godhadi technique that not only manages the post-consumer waste created by the industry but also helps in redefining its traditional context in a contemporary way. ‘Something old, something new’ is the principle thought behind this research, which is an initiative to collaborate with artisans, to co-create a range that helps in empowering their roots through a circular concept. Keywords - Circularity, up-cycling, social sustainability and fashion waste management
Performance Evaluation of Brain Tumor Identification and Examination Using MRI Images with Innovative Convolution Neural Networks and Comparing the Accuracy with RNN Algorithm
Authors: P. Vijay Babu , R Senthil Kumar
Published: April 2022

The main aim of the paper is to find the accuracy for brain tumor detection using the Innovative CNN and RNN algorithms. The paper addresses the design and implementation of brain tumor detection with an accurate prediction. Materials and Methods: Innovative Convolutional Neural Networks and Recurrent Neural Networks are used for finding the accuracy of brain tumor detection. Data models were trained with the neural network algorithms where the brain tumor model adopts the data models and gives responses by adopting those effectively. The model checks patterns for providing the responses to the users by using a pattern matching module. Accuracy calculation was done by using neural network algorithms. Results: The accuracy of Innovative Convolutional Neural Network in brain tumor detection is more significantly improved which is more than 95% (approx.) than the Recurrent Neural Networks. Conclusion: Based on Independent T-test analysis using SPSS statistical software, the innovative Convolutional Neural Network algorithm is significant and has more accuracy compared to Recurrent Neural Networks.
Investigation of Astrophysical S-Factor for 12C + 16O and 16O + 16O Reactions Within the Relativistic Mean-Field Approach
Authors: Rana Shilpa , Jain Nishu , Majekodunmi Joshua T. , Bhuyan M. , Kumar Raj
Published: April 2022

The fusion dynamics of 12C + 16O and 16O + 16O astrophysical reactions is investigated using the relativistic mean-field (RMF) formalism for the non-linear NL3* parameter set. The RMF densities, along with the widely adopted M3Y and relativistic R3Y nucleon-nucleon (NN) interaction potentials, are used to obtain the nuclear potential within the double folding approach. The ℓ-summed Wong model is used to obtain the fusion cross-section. The ℓmax values are extracted from the sharp cut-off model. The fusion cross-section is also represented in terms of the astrophysical S-factor, and the results are compared with the available experimental data. The microscopic R3Y NN potential is observed to give a reasonable fit to the experimental cross-section.
An Assessment on Earthquake Precursory Signals for Applications of Monitoring and Mitigation Strategies
Authors: Siddiqui Saima
Published: April 2022

Forecasting earthquakes entails the existence of time-dependent processes that are dependent on changing conditions deep inside the Earth's crust prior to the occurrence of major seismic activity. Mechanical variables, such as precursory ground deformation and earlier seismic events, have long been the focus of seismology research. The purpose of this review is to acknowledge that there have been numerous reports of a variety of precursory phenomena, including the emission of electromagnetic waves ranging from ultralow frequency (ULF) to visible (VIS) and near-infrared (NIR) light, the emission of radon gas, various electric and magnetic field anomalies, and unusual animal behaviour. Earthquake prediction research has been going on for almost a century with no obvious success.
Impact of Human Resource Management on Talent Management at Apple
Authors: Ramaswamy Shubhangee , Golhar Devidas , Swamy Srinivas Kumar , Pawar Poonam
Published: April 2022

The purpose of this research was to find out how HRM influences the performance of talent management in an organization. For this purpose, Apple Inc. was selected and data was collected through primary data collection method by sharing a survey questionnaire with 25 random employees of Apple. From their responses, it was found that the HRM department of Apple ensures the effectiveness of the organization’s different talent management techniques. It was found that the HRM department is responsible for developing, implementing, and maintaining talent management methods in an organization such as Apple Inc. Talent management method at Apple is effective due to its HRM department only.
Influence of Nanofillers on the Mechanical Characteristics of Natural Fiber Reinforced Polymer Composites
Authors: V Mohanavel , S Suresh Kumar , M Ravichandran , Sivanraju Rajkumar , Velmurugan Palanivel , Subbiah Ram
Published: April 2022

For the first time, natural fibers are being considered as a viable alternative to traditional synthetic fibers. These bio-composites were created using epoxy resin, nano-sized fine nano-tamarind shell ash particles, and water hyacinth fibers in this experimental work. Nano tamarind shell ash particles (0, 1, 3, 5, 7, and 9 wt. percent) were mixed with epoxy resin and water hyacinth fibers to create six different composite mates by the compression moulding machine. The composite specimens are prepared from the mats using the water jet machining method, according to ASTM specifications. Mechanical properties of composite specimens have been determined using tensile, flexural, and impact tests under standard testing circumstances. According to the test results, the composites with nano tamarind shell ash particles in the weight percentage of five percent greatly improve their tensile and flexural capabilities. Increased incorporation of fine nano tamarind shell ash particles in composite specimens has reduced their impact energy and impact strength.
A Novel Approach in Business Intelligence for Big Data Analytics Using an Unsupervised Technique
Authors: Mishra Devendra Kumar , Johari Kushal , Ghildiyal Shivangi , Upadhyay Dr. Arvind Kumar , Sharma Dr. Sanjiv
Published: April 2022

Business intelligence process analyzed data and found certain insights so that managers, executives, or higher authorities of the enterprise can take appropriate decision. Business intelligence provides past, current, and future views of the business actions. Big data indicates big amount of data that is growing exponentially with time. Data analytics check the huge amount of data and indicates some insights. The objective of big data analytics is to discover information like hidden patterns, correlations, market performance, and preferences of customer, so organization can make business decision. This paper presents a new methodology for analysis of huge amount of data using an unsupervised technique of machine learning.
E-Commerce and Teleworking: Business Opportunities in the COVID-19 Era
Authors: Pathrose Eugin Prakash , Verma Priyanka
Published: April 2022

The COVID-19 pandemic has had a key effect on how people work, hang out, and prepare for the future. This social split has a substantial adverse effect on industries, affecting not just economic disruption but also instability and uncertainty. At the same time, as in any major catastrophe, clean and new ways to reinvent the e-commerce business industry in a brand new light and with a new wind will arise. The variations in the use of new technologies and more in particular the use of innovative online services on the Internet are related to the online business sector where the populace is employed and its level of training. One of the advanced services offered by the e-commerce companies is teleworking. This paper shows the results of a critical analysis of the business opportunities in e-commerce in post COVID-19 world about the practicability of teleworking within business organizations. Teleworking business opportunities in an organization’s practicability is meaningfully explained by the percentage of tasks suitable to teleworking, the employees' participation in task design and programming, the proportion of salespeople in the workforce, the degree of work-location allocation for e-commerce activities, the use of information and communication technologies, and the degree of innovation. E-commerce in the post COVID-19 world and teleworking perceive a greater feasibility than the regular workforce.
Analysis of Noise Pollution for an Educational Institution
Authors: Latha A , Ganesan R , M MadhanKumar
Published: April 2022

Uncontrolled growth in urban traffic has led to the deterioration of environmental quality in terms of pollution. The purpose of this study was to predict the noise levels of Alagappa College of Technology (AC TECH) and the School of Architecture and Planning (SAP) in terms of traffic volume, vehicle speed, and road geometry definition, and to compare predicted noise levels with visual value and recommended appropriate noise reduction measures. Sound levels were recorded at 15 locations at Alagappa College of Technology and the School of Architecture and Planning. The highest noise levels in the class were 74.05 dB (A) and 72.91 dB (A). The highest noise levels in the hall were 72.71 dB (A) and 71.5 dB (A). The highest noise levels in the library were 63.54 dB (A) and 62.76 dB (A), not the permissible noise levels of 35-40 dB (A) in the hall and classrooms, and 40-45 dB (A) libraries depending on -IS 4954 (1968). In addition, the noise levels are also not within the permissible noise levels according to the Indian Ambient Noise Standards (CPCB 2000).
Time Series Analysis and Forecasting of Precipitation (Rainfall) Data
Authors: Talhar Janhavi Ajay , Ramgirkar Atharva Girish , Jena Pravat Kumar
Published: April 2022

According to Mattew Rodell, chief of the Hydrological Sciences Laboratory at NASA's Goddard Space Flight Center, "Groundwater in northern India is being depleted at a rate of 19.2 gigatons per year." Furthermore, a report by NITI (National Institution for Transforming India) Aayog claimed that 40 percent of India's population will have no access to drinking water by 2030. It is an undisputed fact that the water crisis is a grave issue that we face today and facts like these, forces us to experiment with new plans and measures to carefully sustain our resources. Predicting rainfall is a significant step to mitigate plans related to water crisis and helps us to effectively use water resources, manage crop productivity and plan water structures. This work also aims to compare among efficient models (such as ML, and DL) to determine the best one for predicting the rainfall with higher accuracy. The raison d’etre of this paper is to study and develop efficient models and compare them to determine an approach that can predict rainfall with higher accuracy.
Effect of Shapes Degrees of Freedom on the Fusion Cross-Sections of 16O + 154Sm and 18O + 148Nd
Authors: Jain Nishu , Rana Shilpa , Majekodunmi Joshua T. , Kumar Raj , Bhuyan M.
Published: April 2022

The fusion dynamics of 16O + 154Sm and 18O+148Nd reactions has been investigated to observe the effect of shape degree of freedom on the fusion cross-section using the coupled channel (CC) calculations. The one dimentional barrier penetration model (1-D BPM) is observed to underestimate the experimental data mainly at below barrier energies. The coupled channel calculations, including target projectile excitations with 1 phonon of vibrational state and 2+ rotational state of target, reproduce the experimental fusion cross-section for 16O + 154Sm reaction at below barrier energies, while show some discrepancy for 18O+148Nd reaction. This discrepancy for 18O+148Nd reaction can be addressed with the inclusion of low-lying states with neutron transfer channels and the neck-formation.
Novel Detection of Forest Fire Using Satellite Observation with Improved Accuracy in Comparison with Human Observation
Authors: P Raghavendra Reddy , P. Kalyanasundaram
Published: April 2022

The objective of the study is to detect the forest fire by monitoring forest area through satellites by comparing human observation and satellite observation and to prevent the forest fire and to state which one is best for forest fire detection. Materials and Methods: A total of 28 samples are taken randomly from Google. These are my own datasets. These samples are divided into group 1 (n = 14) and group 2 (n = 14). This required samples for this analysis is given using G power calculation. Minimum power of the analysis is fixed as 0.8 and maximum accepted error is fixed as 0.5. Result: Through the forest fire monitoring system, the detection of forest fire using the images taken from satellite even from the low resolution images appeared to have an improved performance of the system. The system appears to have an accuracy of 78%. The sigma value is 0.315. Conclusion: This innovative approach appears to be better accuracy in detecting the occurrence of forest fire.
Simulation and Comparison of Current-Voltage Characteristics in Double Gate Nanowire FET Using ZnO and SiO2 as Gate Oxide Materials
Authors: K Rajagopal Reddy , Chelliah Cyril Robinson Azariah John
Published: April 2022

The aim of the project is to simulate and compare current-voltage characteristics in double gate nanowire field effect transistors made of ZnO and SiO2 gate oxides with thicknesses ranging from 1 to 30 nm. Materials and methods: The drain characteristics of double gate nanowire FET for the two gate oxides were considered for analysis. Altogether 147 drain current samples were considered for each group. Results: The two groups are subjected to an independent sample test using SPSS software, which calculates the significant mean value. The SPSS tool's chart builder is used to create a statistical graph. The mean for those in the highest quartile of drain current of ZnO based DG NW FET (drain current=0.461 mA, 95% CI:0.232-0.458 mA, p<0.05), but in SiO2 based DG NW FET (drain current=0.115 mA, 95% CI:0.232-0.458 mA, p<0.05). Conclusion: ZnO nanowire field-effect transistors have better switching characteristics and higher drain current than SiO2. The drain current is altered by varying the oxide thickness of the material. The drain current of ZnO is significantly higher than that of SiO2.
An Efficient COVID-19 Pandemic Survival Analysis to Compare Random Forest and Support Vector Machine for Classifying Performance in Censored Data
Authors: K Ganesh , B Vani
Published: April 2022

The aim of the study is to predict the survival of COVID-19 patients using the random forest and support vector machine. Materials and methods: Novel random forest algorithm and novel support vector machine algorithms are iterated 20 times with a sample size of 10 to predict the survival analysis of COVID-19 patients. Result: The novel random forest algorithm significantly has better accuracy of 93.8% compared to SVM with the accuracy of 88.5%. The significance of linear regression (p<0.05 independent sample T-test) is high. Conclusion: Within the limit of the study, the results proved that novel random forest helps in analyzing the data with higher accuracy classifier performance.
The Impact on the Psychological Health of Employees through Egotism of Managers Resorting to Workplace Bullying and Destructive Leadership- a Hypothetical Case Study Approach.
Authors: Singh Smita , Jain Saurabh , Parashar Shruti
Published: April 2022

Past research has focused on workplace bullying and destructive leadership in times of crises has restrained its prejudiced boundaries by relying excessively upon psychological and social-psychological perspectives. Alarming stress reactions can result from Workplace bullying which refers to continuous exposure to frequent hostile behaviors at work. Due to workplace bullying, a vast number of people and organizations are being impacted in several ways leading to serious psychological issues for employees. In the larger view, workplace bullying and adopting a destructive or tyrannical leadership impacts working conditions, health and safety, personal life, and the right of all to equal opportunity and treatment. In this paper, an effort is made to understand how leaders respond during crucial stages of organization restructuring and how the leadership styles affect the psychological well-being of employees through a hypothetical case study. On the whole, this paper suggests the approaches that could lead to a more rational approach in maintaining the psychological health of employees rather than resorting to workplace harassment and adopting a destructive leadership style.Keywords: Workplace Bullying, Destructive Leadership, Tyrannical leadership, Psychological Health
Analyzing How e-Learning and Virtual Reality Could Be Integrated to Enhance Studies
Authors: Yogesh Pai Rashmi , Gopal Shilpa , S Padma , Srivastava Sachin
Published: April 2022

This research paper focused on one of the most debated topics of this century: whether e-learning and virtual reality can enhance study and learning experience. In order to find out related outcome, this research paper has divided into a total of five chapters and primary data is collected from 10 students studying in Saudi Arabia. From their responses, it was found out virtual reality helps to improve learning experience through scale learning experience, emotional reacting, visual learning, and instant feedback. On the other hand, e-learning can improve learning experience through instant feedback, easy sharing of materials, multiple ways of learning, and flexibility. Therefore, overall, it was found that e-learning and virtual reality can significantly improve learning experience when integrated in learning program.
Fsm Driven NON-Linear Transistion Based Lfsr TPG for Improved Fault Coverage in BIST Application
Authors: G Sowmiya , G Malarvizhi
Published: April 2022

The Test pattern generator (TPGs) is one of the computationally intensive and performance centric computational block in BIST applications and has been investigated in many existing works to maximize its contribution towards testing the digital circuits; however, design constraints associated to the system leads significant improvements in TPG model. This paper proposes energy efficient FSM state transition-based LFSR TPG to formulate test patterns with maximum length and randomness. Here LFSR generated test patterns generated from conventional LFSR reseeding model with fixed polynomial configuration is decomposed into smaller units and follows FSM encoding to convert into multiple independent test vector blocks. The concatenation of these encoded vector blocks offers improved test vectors which includes transitional and non- transitional encoded values to regulate the overall switching activity. According to the power constrains each binary positions of test vectors are weighted to control certain bit transitions which can significantly optimize the dynamic power consumption during testing process. Finally, FSM controller is used to control state transition in addition to the variable clock to maximize the randomness randomization characteristics of LFSR. Here both clock rate and number state in FSM machine can be dynamically changed to modify the LFSR statistics in accordance with BIST requirements.