bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development And Characterization of Magnesium Ion Conducting Biopolymer Electrolyte Using Agar and Magnesium Nitrate Hexa Hydrate
Authors: R. Sujatha ,C. Shanmugapriya  
Published: December 2023

The aim of the study was to develop an agar-based biopolymer electrolyte with varying concentrations of Mg(NO3)2.6H2O in double-distilled water as the solvent. To better understand the impact each concentration had on the biopolymer, a range of characterisation techniques were employed - XRD, FTIR, DSC, Ac impedance analysis and transference number measurement being amongst them. XRD was used to determine whether a crystalline or amorphous polymer resulted from the process. Agar and magnesium nitrate may form complexes, according to FTIR. Through the process of differential scanning calorimetery, researchers have pinpointed the glass transition temperatures for a biopolymer electrolyte with superior conductivity. In order to study its performance, a Mg2+ ion primary battery was built using a biopolymer membrane with a highest ionic conducting of 1.74 x 10-4 S cm-1. This electrolyte was comprised of 40% agar and 60% magnesium nitrate in water, and its ionic transference number of Mg2+ had been determined at 0.30 via Evan's methodology.
Metacognition-Driven Approach to Enhance Computer Programming Skills: A Multi-Criteria Decision Making Analysis
Authors: C P Pavan Kumar Hota,  V. Asanambigai, D. Lakshmi  
Published: December 2023

Computer program writing is thought to be a challenging skill to master by both experts and students. A key component of developing into a successful student [1] of computer programming is metacognition. Instructive brain science defines metacognition as the monitoring and management of one's cognitive processes. 1145 engineering students were assessed using the personality questionnaires, Brain Dominance, Multiple Intelligences, Learning Style, and Metacognition tests. The two key elements of this study from Multiple Criteria Decision Making (MCDM) methods are the AHP and TOPSIS algorithms, which produce optimal decisions based on priorities. The multiple criteria decision-making process is compatible with both min and max functions. The study's psychology dataset includes four attributes for thinking style, eight for multiple intelligences, five for the personality scale, four for learning style, and eight for the metacognitive awareness inventory. The max function is also used for the learning style and the four attributes for the personality scale. The MCDM's outcome ranking order can be applied to the adoption of instructional strategies, individualized and customized learning directions, activity oriented learning, multiple assessments and attainments, student tracking strategies and techniques, and learning through adaptive tutoring systems. Additionally, it recommends combining a TPACK framework model with metacognition to help learners achieve their goals by navigating the talent, intelligent, and technological spaces while maintaining a high level of self-awareness.
Synthesis, Characterization and In-Vitroanti-Tumor Activity of Some Novel Pyrazole Derivatives
Authors: Kalaivanan.R , S. Senthilkumar , V. Sughanya  
Published: December 2023

Pyrazole and its derivatives are considered a pharmacologically important active scaffold that possesses almost all types of pharmacological activities. The presence of this nucleus in pharmacological agents of diverse therapeutic categories such as a potent anti-inflammatory, antipsychotic , anti-obesity drug, an analgesic, and anti-depressant agents have proved the pharmacological potential of the pyrazole moiety. Owing to this diversity in the biological field, this nucleus has attracted the attention of many researchers to study its skeleton chemically and biologically. This heterocyclic can be traced in a number of well-established drugs belonging to different categories with diverse therapeutic activities. Aim of the present study is to synthesize and characterize various 4-[1-(2-hydroxy-4,4-dimethyl-6-oxocyclohex-1-en-1-yl)3,4-(phenyl]-5-methyl-2-phenyl-2,4-dihydro-3H-pyrazol-3-one derivatives using an efficient Scheme. The synthesized compounds (1-10) were evaluated for their in vitro anti-cancer activity.In order to develop potent anti-cancer agents, a novel series of pyrazole derivatives were synthesized and the structures of all compounds were confirmed by spectral studies. MTT assay has been employed to study anti-proliferative activity of these compounds with four human cancer cell lineDLD1 (Human Colorectal Adenocarcinoma) at various concentration (6.25-100µg/mL). The results revealed that compounds VEPD and 4MEPD shows goodanti-tumoractivity and the other compounds shows moderate activity against theDLD1cell line.
Torus Ring Signcrypted Kademlia Hash Storage-Based Cryptography For Secured Data Storage In Fog Computing
Authors: V. Suresh Kumar, Dr. P. E. Elango  
Published: December 2023

Fog computing is decentralized computing infrastructure which used to present various services. Generally, fog network includes numerous data, computation, storage and application processes among data in the server. The fog node toward large-scale end-users offers a variety of interacted IoT services. Security is main concern for preserving data from unauthorized user access as carry outing secure data storage from fog user as well as server. Thus, secure data storage in fog is a demanding and rising concern for Fog-IoT security paradigms. Several research works have developed for secured fog data storage. But, data security level was minimum because performance of signcryption was not effectual. To overcome such problems, Torus Ring Signcrypted Kademlia Hash Storage (TRSKHS) method is proposed in fog computing. The designed TRSKHS method contains key generation, encryption as well as decryption for enhancing fog data storage by lesser computational cost. At first, registration process is carried to register fog users detail to the fog server. After registering, fog server generates pair of keys namely public key and public key for every registered user using Torus Ring Signcryption. Then, the fog user carry outs encryption as well as signature generation process. Initially, fog user data is encrypted in ciphertext as well as signature is generated for each data to provide secured data storage. Before storing encrypted data in server, hash value of each data is generated by using Kademlia Hash function. Then, encrypted user data through their hash value is stored in database. Finally, the decryption and signature verification is performed by the user to decrypt data. After that authorized users attain original data and enhance secure data storage. Through data accessing process, fog data is decrypted by their generated private key. This assists for TRSKHS method to enhance secure data storage by lesser amount of encryption time. Experimental assessment of TRSKHS method and conventional methods are performed with number of fog users as well as data. Proposed TRSKHS method carries the experimental evaluation using encryption time, storage complexity, data confidentiality rate as well as data integrity rate.
Effect Of Working Capital Management On The Profitability Of Selected Manufacturing Companies In India
Authors: Siddalingeshwara S  
Published: December 2023

Throughout the long period there has been a major discussion or conversation on the impact of working capital on the profitability of the companies. Working Capital is one of the major important part in each companies or businesses and also in decision of financial system or management. The major role for any companies and its department of corporate divisions is its WCM. The basic concept of WCM is net working capital balance alongside the overheads of different divisions of profitability. It is essential for the day to day costs of the companies. Examining the relationship between working capital management's effect on Indian co’s profitability is the primary goal of this article. The sample size of this research are selected 20 manufacturing companies of India from different sectors such as, IT, FMCG, Cement and steel sectors and selected five companies from each sectors based on market size for a period of five years from 2018-19 to 2022-23 and analysis is evaluated based on different factors. or financial ratios which are given under GP, net profit, inventory turnover ratio, capital employed returns and working capital ratio. Information was gathered from the official yearly reports and analysis were applied with determined that Pearson's coefficient of correlation knows the outcomes and performance b/n different variables used and applying the SPSS statistical software tool, with a 5% significance level. However, this study discovered and demonstrated a favorable connection of the influence of working capital and other parameters, as well as the considerable interaction between the variables.
Result on The Weak Non-Split Independent Domination Number of Some Special Graphs
Authors: Dr. B. Uma Devi, S. M. Ambika, , R. K. Shanmugha Priya  
Published: December 2023

A graph has a vertex set and edge set and . A non - empty subset D is an independent dominating set if every vertex in is adjacent a vertex in and is a non – adjacent vertices. The domination number is the minimum cardinality of an independent dominating set. If, in addition let and be the element of . Then weakly dominates if (i) and (ii) . A set S is a weak non-split dominating set of if every vertex is is weakly dominated by at least one vertex in and the induced subgraph is connected. The minimum cardinality of a weak non-split independent dominating set is the weak non-split independent domination number of G .The main purpose of this paper is to introduce the concept of weak non-split independent domination number. For that we have chosen Soifer graph, Chvatal graph, Fritsch graph, Herschel graph, Moser graph, Franklin graph to find the weak non-split domination number.
Evaluation of Life Skills-Based Open High School Program in Bogor Regency, West Java
Authors: Ivan Hanafi, Elianasari Ade Noor Syamsudin, 
Published: December 2023

Equitable access and low quality of learning are the main problems of education in Indonesia. Open schools are one of the solutions to the problems of education in Indonesia, especially at the secondary school level. The purpose of this study is to evaluate the implementation of the life skills-based open high school program in Bogor Regency, West Java and produce an implementation model of the life skills-based open high school program at the high school level. This evaluation research uses qualitative methods with the CIPP model. The data in this study were obtained through observation, in-depth interviews and documentation studies at the SMA organizer of SMA Terbuka in Bogor Regency: SMAS PuspaMekarCiteureup
Effectiveness of Self-Instructional Module on Knowledge Regarding Natural Birthing Methods among Antenatal Mothers
Authors: Supriya Ray Prajakta Rajesh Jadhav, 
Published: December 2023

Background:This study aims to assess the effectiveness of self -instructional - module on knowledge regarding natural birthing methods among antenatal mothers of selected hospitals. It is quasi experimental research. Purpose of the study was to know the pre assessment knowledge regarding natural birthing methods followed by the intervention, which included administration of self-instruction-module, which was based on the content related to natural birthing methods. After administration post evaluation of the knowledge score was done to compare the effectiveness of the intervention.
Material and method: A quasi experimental research design was used while the approach utilized was quantitative. Pre-test- post-test control group research design was used for the study. The study was done at tertiary hospital of a cosmopolitan city, while the samples were antenatal mothers who were attending the OPD’s. Data collection tool used was a structured questionnaire on natural birthing methods which included demographic questions and knowledge based questions. Analysis was done by using descriptive inferential statistics.
Result:Results revealed that experimental group knowledge score in pre-test was 9.2 as compared to 11.2 in the post-test for the p-value of 0.05. In control group, knowledge score in pre-test was 8 as compared to 8.5 in the post-test. Association was found with the demographic variable of education
Conclusion: Average mean difference in knowledge score in antenatal mothers in experimental group was significantly higher than that in control group hence It is evident that the self-instructional module is significantly effective in improving the knowledge among antenatal mothers regarding natural birthing methods.
Guidelines for Development Instructional Leadership for Secondary School Teachers in Qingdao
Authors: Patchara Dechhome Huang Yonggang,Nonnadhi Dulyadaweesid , Niran Sutheeniran, 
Published: December 2023

The objectives of this research were: 1) To study the current level of instructional leadership of secondary school teachers in Qingdao. 2) To develop the guidelines of instructional leadership of secondary school teachers in Qingdao. 3) To evaluate the adaptability and feasibility of instructional leadership of secondary school teachers in Qingdao. The sample group of this research was 291 teachers. The Interview group was 9 secondary school teachers in Qingdao and the evaluate 9 experts from secondary school in Qingdao. Research instruments include: 1) questionnaire. 2) semi-structured interview. 3) evaluation form. Data analysis by using percentage, mean, standard deviation and content analysis.
The results were: 1) the current situation of instructional leadership of secondary school teachers in Qingdao was at high level, 2) the guidelines for developing the instructional leadership of secondary school teachers in Qingdao in four aspects, which contain 23 articles. there are 6 guidelines for optimizing professional development, 6 guidelines for enhancing teaching practice, 5 guidelines for improving school culture, and 6 guidelines for promoting learn. 3) adaptability of guidelines for developing the instructional leadership of secondary school teachers in Qingdao in four aspects were at highest level. and feasibility of guidelines for developing the instructional leadership of secondary school teachers in Qingdao in four aspects were at high level.
Detecting Ocular Tb With Modified Co-Occurrence Matrix
Authors: Dr. C. Kumuthini, P. Nithya  
Published: December 2023

Image mapping is a method both for identifying and retrieving similar images from a large database of digital images. This system utilizes the low level image features such as color, texture and shape for retrieving similar images. Among the low level image features, color and texture are perceptually important low level features. Hence this paper entitled “Detecting ocular TB with modified co-occurrence matrix ” uses the color and texture information for identifying similar images from the database. The texture features are extracted from images using the modified co-occurrence matrix which is called texton co-occurrence matrix and the RGB color model is used for color texture.
The Monophonic Metric Dimension of Degree Splitting Graph
Authors: J. Suji Priya,  T. Muthu Nesa Beula  
Published: December 2023

Let be a simple graph and be an ordered set and. The representation of with respect to is the -tuple . Then is called a monophonic resolving set if different vertices of have different representations with respect to . A monophonic resolving set of minimum number of elements is called a minimum monophonic set for and its cardinality is known as the monophonic metric dimension of , represented by In this article, we determined the monophonic metric dimension of degree splitting graph.
Role of Herd Behavior on Investment Decision of Mutual Fund Investors in India - An Empirical Study
Authors: Jyoti Mishra Rekha Gothe, 
Published: December 2023

Behaviour finance helps to understand the attitude and perception of investors on their investment decisions. Every investor differs from others in all the aspects due to a range of factors like demographic and socio-economic background. An optimal investment decision plays a vital role and is a major deliberation.
This paper analyses the role of herding behaviour on Indian mutual fund investors. By referring to psychology and pointing out the imperfections of a human mind, it reveals mistakes committed by both individual and professional investors.
This study captures the impact of herding behavior and overconfidence biases on the investors’ decision-making in India The proposed study will collects the necessary data through questionnaires distributed among 113 respondents who were investing in mutual fund. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients.
Law of Magnetic Fields Via Bianchi Identities
Authors: NVN Babu S.M Bhati, Murali G, Ch.Sanjay, 
Published: December 2023

This article deal with the study of magnetic fields via bianchi identities. In the present study we discuss second order tensor for the magnetic flux and obtain the law of magnetic fields in the space time system w.r.t. to any frame of reference by using Bianchi identities of Riemannian Geometry. Finally, it notice that the time variant Maxwell’s law of magnetic fields will include as a special case our results.
Research Paper on Analysis Load Balancing Algorithm using Cloud Computing
Authors: Gagandeep kaur , Dr Sahista Nawaz  
Published: December 2023

Cloud load balancing is nothing but distributing the work load among many servers & computing property. It can manage work load demand as well as application demand. This process is done with the help of distributing resources among numerous computers. Cloud load balancing consist of circulation of workload traffic & on time demand of internet. Various techniques were represented in literature to improve performance, quality of services, cargo distribution etc. The issue of cargo balancing is same as cloud computing which is data over loading & under loading. We have to apply proper cargo balancer for cloud terrain. The study represents view of problem faced by current cargo balancing ways. The researchers make more effective algorithm. Cloud computing refers to a services & application that can accessible throughout the world from data center.all services are accessible through online. There are several issues in cloud computing such as scheduling, load balancing, quality of services & storage resources. Here we study load balancing. When many clients send request to server, server has already n number of task. In that case server is over loaded for this condition we have to apply load balancing algorithm. Cloud computing is a internet based network technology that share rapid growth in communication technology, by providing services to customer of various requirement with the help of online computing resources. It has both hardware & software application along with software development platform. Cloud computing becomes a popular word in the area of high performance distributed computing. It provide on demand access to share pool of resources over internet. Cloud computing is still much research is required for broad array of topic. One of the important research issue which need to be focus for effective performance isload balancing. Cloud computing aim is to gives computation & resources over the internet via dynamic provision of services. There are many challenges and issues associated with the implementation of cloud computing. This research paper deliberates one of cloud computing main problem that is load balancing. The main aim of load balancing is equally distribute the load on cloud server such that no host is under load & over load. Several load balancing algorithm have been implemented in literature to satisfied customer request for appropriate cloud node.
Human Values among Adolescents – An Empirical Study
Authors: Dr. Meenakshi Sharma, Abhishek Soni  
Published: December 2023

Human values constitute the foundational elements of our humanity and the guiding principles of life, playing a crucial role in shaping commendable human conduct. These values typically emerge from one's individual interests, desires, impulses, and preferences, often regarded as universal and shared by people irrespective of religious, racial, cultural, or personal differences. The dual objectives of this study revolved around comprehending the significance of individuals' values in life and delineating the values held by the younger generation.
The research, employing a random sampling method, delved into the perspectives of 50 young individuals . A combination of primary and secondary data was harnessed to fulfill the study's requirements. The formulation of the questionnaire drew inspiration from Schwarz's cost research, and subsequent analysis involved employing statistical tools like simple percentages, two-way tables, chi-square tests, and correlation assessments.
Within the study's hypotheses, the absence of a correlation between age and endeavors to enhance human outcomes, as well as the absence of a link between gender and changes in human benefits over time, were explored. The findings revealed a positive and significant association between age and the initiation of human development. Conversely, no discernible association surfaced between gender and alterations in human characteristics across the years.
In conclusion, the study underscores the imperative role of parents, schools, and communities in imparting the value of humanity to the younger generation. Such an educational approach is posited as essential for fostering a healthy and fulfilling life, thereby emphasizing the critical role of instilling human values in the formative years.
Synthesis and Characterization Conducting Polymer Supported CDS-ZNS Nano Composites Used for Various Applications
Authors: Ms. Dipali Nagnath Hodade, Dr. Mohan N Giriya  
Published: December 2023

Keys include undertaking polymer synthesis and physical property research. Conductive is polyaniline. The presence of pristine nano CdS particles in the matrix was demonstrated by X-ray diffraction (XRD).
In this study, four sol-gel techniques are used to prepare nanostructured polyaniline (PANI). PANI molecular structure was characterized using X-ray diffraction to assess the morphology of PANI samples.
The results of the prepared PANI's characterization reveal that the unconventional synthesis methods utilized to create it drastically changed its morphology, chemical composition, crystallinity, conductivity, and surface area. The outcomes of the characterization supported this. The manufacturing and properties of polyaniline conducting polymers are examined in this research. The classic and grafted techniques of polyaniline synthesis have been examined. The relationship between structure and properties is established by this high-accuracy development procedure. In the future, polyaniline with altered structure may be employed.
PANI/CdS nanocomposites have higher DC conductivity than PANI, according to observations.
In situ production of conducting polyaniline nanocomposites with CdS nanoparticles was achieved by oxidizing aniline with cadmium sulphate at 3.5 pH. Electrical conductivity of polyaniline is influenced by CdS-nanoparticles. In contrast to pure polyaniline, the electrical conductivity of polyaniline nano-composite is increased by the homogenous intercalation of CdS nanoparticles, which results in a cooperative phenomenon between polyaniline and the nanoparticles.