bluuebunny/crossref_metadata_2025 huggingface dataset:
Chancen der Gefährdungsbeurteilung psychischer Belastung
Authors:   Stabsstelle Organisations- und Führungskräfteentwicklung, Klinikum Darmstadt, Schwärzel Lotte , Sahitolli Iris ,   Stabsstelle Organisations- und Führungskräfteentwicklung, Klinikum Darmstadt
Published: January 2024

Die Gesundheit der Beschäftigten im Krankenhaus ist von zentraler Bedeutung. Komplexe Herausforderungen in der Arbeitsgestaltung brauchen kreative Antworten und Herangehensweisen. Die Gefährdungsbeurteilung psychischer Belastung ist am Klinikum Darmstadt die Basis für einen partizipativen Organisationsentwicklungsprozess. Führungskräfte und Teams werden als Ressource verstanden und stehen dabei in besonderer Weise im Fokus.
The Prosecutor's Requirement to Change the Regulatory Legal Act: Existing Practice and Application Prospects
Authors: Praskova Svetlana
Published: January 2024

The requirement of the prosecutor to change the regulatory legal act (hereinafter referred to as the requirement) is a unique act different from other acts of the prosecutor’s response, as well as other forms that reflect the results of anti-corruption examination. However, the official statistics of the Prosecutor General’s Office of Russia do not reflect the number of requirements made, judicial practice in cases related to them is virtually absent. There is little interest in this issue in science. These circumstances determined the tasks of the article to identify the features of the requirement, as well as to assess the existing practice and prospects for its use. Based on an analysis of legislation and scientific positions, the author concludes that the requirement is a self-directed act of prosecutorial response, different from protest, presentation and caution. There is no clear contrast between the requirement and the types of conclusions that reflect the results of the anti-corruption examination. The requirement is inherently related to advisory opinions and differs significantly from mandatory conclusions based on the results of anti-corruption examination. After analyzing the materials of judicial practice and comparing the versions of the legislation on anti-corruption examination of different times, the author comes to the conclusion that initially, when the institution of anti-corruption examination was introduced, it was assumed that the requirement should be of a governmental and administrative nature and be binding on the legal entity, but this position was rejected by the courts. Currently, it is recognized that the requirement is mandatory for consideration by a body or official, but not for execution. The final answer to the question of the need to change the regulatory legal act is given only by the court in the process of challenging the prosecutor’s legality.
In conclusion, attention is drawn to the change in the regulation of the issue under consideration in the acts of the Prosecutor General’s Office of Russia. It is concluded that there is a tendency to reduce the attention of the prosecutor’s office to conducting an anti-corruption examination. It is proposed to exclude the requirement from the system of current legal regulation.
Care for Aging Parents in Social Advertising: Peculiarities of Perception of Teenagers and Their Parents
Authors: Kyshtymova Irina , Zimina Ekaterina
Published: January 2024

The article presents the results of a study of social advertising broadcasting the value of adult children's care for their elderly parents. In order to determine the potential impact of advertising on the consumer, a psychological analysis of two commercials was carried out: “Main Investment” and “What Will Remain”. It is shown that the traditional value of “filial care” has lost its unconditional character and is understood as a “proportional response” to the care previously shown by parents for their children. To test hypotheses about the different effects on the viewer of advertising narratives presenting “positive” and “negative” models of “care”, as well as the fact that social attitudes and personal experience of interaction in the consumer family influence their understanding of the situations depicted in advertising. We conducted an empirical study with 203 participants: 124 adolescents (M = 14, SD = 2.1) and 79 parents (M = 43, SD = 12.2). Features of perception of advertising images were carried out using the method of specialized semantic differential. To assess intergenerational relationships in the families of the subjects, the “Methodology for analyzing family relationships” and the questionnaire “Adolescents about parents” were used. The obtained data was analyzed using mathematical statistics methods. The study found a transformation of traditional ideas of sub-sprouts about parents - their images are endowed with low values of “caring” and “prestige”. We found the dependence of semantic assessment of advertising images of adult children and their elderly parents in need of help on the experience of child-parent relations in the consumer family. We revealed that in the perception of parents, “care” and “prestige” have an inverse relationship. We argue that the “positive” model of the discursive formula of “reciprocal care” implemented in social advertising solves the problem of translating the value of caring for elderly parents to a greater extent than “negative”.
Keywords. Social advertising, media, elderly parents, teenagers, mother, father, attitude, semantics, narrative, image.
Shock Impulse Model when Compacting a Coal Load for Coke Production
Authors: Doronin Sergey , Zelenov Roman , Reizmunt Elena , Chernyaev Anatoly
Published: January 2024

Currently, the reserves of coking coals necessary for the production of high-quality coke are significantly reduced. One of the promising technologies for the preparation of raw materials for the production of coke is the ramming of coal charge: by increasing its density, the requirements for the quality of the initial coals are reduced and it becomes possible to widely use, along with coking, and coal of the worst quality. Determination of the characteristics of the ramming technology and equipment is carried out mainly empirically, which does not guarantee the receipt of scientifically based effective technical solutions during their development. One of the key characteristics of the coal charge ramming process is the impact energy and the shock pulse parameters corresponding to it — they determine both the density of the coal charge and the dynamic effects on the load-bearing structures of the equipment. The latter, in turn, determines the operability of the equipment, expressed in terms of strength, stability and durability. Experimental analysis and development of a mathematical model of the shock pulse during ramming of coal charge are aimed at providing information for the design and calculation process, significantly reducing the level of uncertainty in the development of ramming equipment and technology. It is shown that the shock pulse is well approximated by a sine half-wave. For a hammer with certain geometric and mass characteristics, and the corresponding impact energy, the intervals of change in the duration and peak value of the impact pulse force, as well as the relationship between these characteristics, are determined. They are an information base for expert evaluation of the characteristics of the shock pulse when the coal charge ramming energy changes.
Using the ChatGPT Platform in the Development of Software Services in the Kotlin Language
Authors: Kokotov Dmitrii
Published: January 2024

Scientists and engineers around the world are paying more and more attention to the development of artificial intelligence. A major step in this area was the launch of the ChatGPT AI platform by OpenAI. The ChatGPT service is capable of generating responses to user requests in a variety of ways. AI can help you select a product, convert audio to text or generate images, and integrating ChatGPT into software services can significantly streamline many business processes.
The purpose of this work is a general overview of the ChatGPT platform, as well as a study of the possibility of interacting with ChatGPT at the program level using the developed web application in the Kotlin language. During the study, the basic principles of ChatGPT were formulated, and examples of program code for interacting with the platform API were demonstrated.
In the final part, general conclusions are formulated regarding the promising possibilities of using ChatGPT to automate business processes in modern information systems.
Mathematical and Natural Modeling of Oscillations in Induction Motors with Static Rotor Eccentricity
Authors: Kupriyanov Ivan , Lukyanov Anatoly
Published: January 2024

The article discusses the issues of improving the quality of diagnostics of induction motors in the presence of static rotor eccentricity (uneven air gap). In the process of assembly and repair of an induction electric drive, violations of the manufacturing and assembly technology may occur, in particular, the displacement of the rotor axis relative to the stator axis. This defect can also occur when the rotor bearings are worn. When operating and repairing asynchronous electric motors according to the actual state, reliable diagnostic information plays an important role, in particular, on vibration parameters. In order to prevent emergency situations with the decommissioning of the electric motor, it is necessary to fully study the power vibration characteristics for this defect.
Theoretical and experimental studies of mechanical oscillations of an induction motors arising from the violation of the symmetry of the annular gap between the stator and the rotor have been carried out. In this work, a mathematical model of the formation of radial forces in the air gap of the electric motor is built, according to which calculations are made for the induction motors model AИP63B4. An assessment is given of the change in the amplitude and harmonic composition of the radial forces at various values of the static eccentricity of the rotor. The conducted full-scale simulation confirmed the results of theoretical studies of the influence of the level of defect development on the harmonic composition of mechanical vibrations during engine operation under load and in idle mode. In particular, the characteristic spectral components of radial vibration on the motor supports are determined. Sufficient vibration diagnostic features have been identified that allow determining the presence of this defect and the degree of its danger. The good convergence of the theoretical and experimental results of the studies makes it possible to determine the change in diagnostic signs in the entire possible range of defect development. The vibrational signs of this type of defect, described in various literature sources, were refined.
Simulation of Agricultural Production under the Influence of Climatic, Environmental, and Biological Events
Authors: Ivanyo Yaroslav , Kolokoltseva Irina , Petrova Sofya
Published: January 2024

The paper presents mathematical models for optimizing the production of agricultural products in terms of losses from climatic, environmental and biological events. Three models of linear programming under uncertainty are considered. The first model of parametric programming makes it possible to optimize the production of agricultural products, taking into account climatic events. Events are obtained based on the analysis of significant “multilevel” trends for a series of different characteristics of the model, describing all levels, as well as their upper (maximum) and lower (minimum) levels. This division of the series is based on work [1], in which the long-term series of river flow is considered in the form of a “system of levels”, which represent a “hierarchical structure”. The second parametric programming model describes agricultural production for environmentally unfavorable conditions and the impact of climatic events. In this model, soil and water pollutants and erosion processes are considered as ecological characteristics. The model can be used to optimize the production of crop and livestock products and their combination. The third model with probabilistic estimates reflects the situation of optimizing the production of agricultural products with losses associated with locust pests. In this model, the probabilistic estimates are crop yields and losses of crop on lands affected by pests invasion. Examples of solving applied extreme problems are given, which describe situations of production in adverse conditions.
The Procedure for Selecting a Curve from the Johnson System by Percentile Matching and Maximum Likelihood and Least Squares Approaches in R
Authors: Borbats Nikolay , Shkolina Tatiana
Published: January 2024

It describes the implementation and application of a procedure in the R language designed to select a distribution curve from the Johnson system. In the proposed procedure, unlike the already implemented function from the SuppDists package, the selection of a family of curves and the estimation of parameters is carried out using the percentile method and a combination of maximum likelihood and least squares methods. The ability to set the initial values of the quantile vector of the standard normal distribution allows the user to select the curve more flexibly. In addition, the assessment of the quality of the selection can be performed visually, using graphs of density functions and distribution functions, as well as formalized with the application of Pearson's chi-squared agreement criterion.
Law of Probability Distribution Function of The Module of Difference of Discrete Random Variables
Authors: Vedernikova Tatyana
Published: January 2024

The use of the absolute value symbol in theoretical studies often leads to difficulties in analytical operations. However, from a practical point of view, transformations based on absolute differences are the most visual and effective. The article discusses functional transformations, which are modules of the differences of discrete random variables.
The concept of the first difference modulus is given. The laws of the probability distribution of random variables obtained as the modulus of the difference of two independent random variables that have the same discrete distribution (Bernoulli or geometric), as well as the distribution laws of new random variables that are the sums of the moduli of the first difference, have been found. The main numerical characteristics of new random variables are calculated.
Lexicostatistical Studies of the Connection of Buryat-Evenki Toponyms of the Irkutsk Region with the Russian Language
Authors: Rakovskaya Elena
Published: January 2024

Lexicostatistical studies of the connection between the Buryat-Evenki toponyms of the Irkutsk region and the Russian language have been carried out. The study used a method of a matrix of proximity measures between the list of toponyms and the list of Russian words from the frequency Russian-Buryat dictionary, which are translated into consonantal classes according to A. Dolgopolsky.
Closeness measures between two words composed of consonantal classes are described using the Ratcliffe — Oberschelp numerical metric. A matrix of word proximity measures has been calculated, numbering about 800,000 elements. The averages of the maximum measures in rows and columns and the average measure over the entire field of the matrix are found. Statistical studies show the historical connection of a group of toponyms with the Russian language at the level of 85 %. The meaning of some Buryat-Evenki toponyms in the Russian language has been restored.
S-5 SOIL SHIPPING v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol describes soil shipping.
Cyanobacteria growth (English) v1
Authors: M. Borges Ricardo , de Assis Ferreira Gabriela , Chagas Fernanda , not provided pauloihc
Published: January 2024

This document aims to present a comprehensive protocol for the cultivation of cyanobacteria in saline aquatic environments. The protocol incorporates etailed information on the composition of solutions, fundamental calculations, and required volumes for the successful execution of the entire procedure. It is pertinent to note that growth rates may exhibit considerable interspecific variations among different strains of cyanobacteria.
S-2 SOIL PROCESSING v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol details about soil processing.
W-3 WATER STORAGE v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol describes leech storage.
Synthesis of 1-(3-chlorophenethyl)-3-cyclopentylpyrimidine-2,4,6-(1H,3H,5H)-trione (CP8) v2
Authors: JR Bataille Carole , Brimblecombe Katherine , J Cragg Stephanie
Published: January 2024

A structure-activity relationship-based modification of pyrimidine-2,4,6-triones led to 1-(3-chlorophenethyl)-3-cyclopentylpyrimidine-2,4,6-(1H,3H,5H)-trione (CP8), a potent and highly selective CaV1.3 L-type calcium channel antagonist. This protocol is an adaption of Kang, S., Cooper, G., Dunne, S.et al., 2012's method of the synthesis of this chemical.
T-3 TICK STORAGE v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol describes tick storage.
Economical Nanopore LSK Sequencing: Adapted Protocols with Homebrew Reagents v2
Authors: Hao Ou Jie , Huang Yin-Tse
Published: January 2024

This protocol introduces a cost-effective alternative for end repair and dA-tailing in DNA library preparation, particularly tailored for PCR samples with an N50 of 3 kb. By employing a homebrew end repair reagent solution, this method replaces the use of the NEBNext® Ultra™ II End Repair/dA-Tailing Module recommended by Nanopore. Optimization of reagent quantities and a bead-free purification method are combined to achieve efficient adapter ligation while minimizing costs. Notably, an extended incubation time during adapter ligation enhances efficiency. This resource provides a strategic approach for researchers aiming to customize their sequencing workflows while achieving optimal results and substantial savings.
SW-5 SWAB SHIPPING v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol describes swab shipping.
W-5 WATER SHIPPING v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol describes water shipping.
L-4 LEECH TESTING v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol details standard operating procedure for leech testing.
Experiment Data Depot (EDD) Study Creation v1
Authors: Gin Jennifer , J Petzold Christopher
Published: January 2024

This protocol details how to create studies in the Experiment Data Depot. Data can be shared with collaborators via exported CSV files or through the REST API. For more information about the EDD visit: Experiment Data Depot Google Site. Citation: Morrell, William C., et al. "The experiment data depot: a web-based software tool for biological experimental data storage, sharing, and visualization." ACS synthetic biology 6.12 (2017): 2248-2259. (link to publication) Example Links: https://public-edd.agilebiofoundry.org/ https://public-edd.agilebiofoundry.org/s/example-data-quality-study-2/overview/
F-5 FECES SHIPPING v1
Authors: Consortium REDI-NET
Published: January 2024

This protocol describes feces shipping.
Ukrainian theorists of mass communication: overview of main works
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Horodenko Lesia , Tsymbalenko Yevhen ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: January 2024

This material is submitted for discussion on the pages of the journal. It has the status of a working version of a review article, a preprint. Anyone can participate in the discussion by submitting their materials with a reference to this material in the "Discussions" section. The authors of this material, in the case of writing a scientific article, must make a reference to their material, which they submitted for discussion. The proposed review presents a selection of the main generalizing works on the theory of mass communication, created by Ukrainian researchers over the past 25 years. Preference was given to training manuals, monographs, and textbooks, the authors of which tried to present a comprehensive view of the topic and systematize existing knowledge. The review of the selected works is carried out in the chronological order of their publication. This selection includes V. Ivanov's dissertation "Methodology and methods of researching the content of mass communication" (1996), O. Kuznetsova's textbook "Fundamentals of mass communication" (1996), the textbook by A. Moskalenko, L. Guberskyi, V. Ivanov and V. Vergun "Mass Communication" (1997), O. Zernetska's monograph "Global Development of Mass Communication Systems and International Relations" (1999), V. Ivanov's textbook "Sociology of Mass Communication" (2000), H. Pocheptsov's textbook "Communication Theory" ( 2001), S. Kvit "Mass Communications" (2008), V. Rizun "Theory of Mass Communication" (2008), O. Kosyuk's textbook "Mass Communication Theory" (2012), V. Ivanov's monograph "Mass Communication" (2013) . The review uses methods of historical-comparative and logical analysis
Focused on Author Productivity of Arthropathy Research Publication: A Scient metric Analysis
Authors: Et. al. M. Mercy Clarance,
Published: January 2024

The study aimed to analyze the scientific productivity of Arthropathy research from 2010 to 2020 with an international outlook. The primary purpose of the study is to understand how far the Arthropathy research literature in the state of the art while it comes as a lifestyle disease. The data retrieved from the WoS database; take a sum of 4221 records contributed by 23083 authors. The overall study period finds that PEI value is increasing trend from 2017 to 2020. The degree of collaboration over the years from 2010-2020 and varies from 0.91 to 0.97. The mean value is 0.938. “Wukich DK is the highest H index value 13 (17 Records). Lotka’s law tested our study P-Value, then it is founded that the value of the observed authors was higher than that of the expected value which is 5.780324. To apply Price Square Root Law in study √N =151(7.09%), half of the literature 299.26, but it turned that it is not applicable in the study. The year 2020 shows the topmost value in CI (5.79), CC (0.185) and MCC (0.7210). The research ensures the current state of Arthropathy research and literature. It should provide new insights into future development in the varied sub-disciplines of Arthropathy.
Deductive Thinking at the Preparatory stage Students.
Authors: Et. al. Yasmine M. Hamad,
Published: January 2024

The aim of the current research is to identify the extent of possessing deductive thinking among middle school students, and the researchers chose the descriptive approach.

  The sample consisted of (400) male and female students of the fourth scientific grade from (9) schools (preparatory and secondary) in the three directorates of al-Karkh education (first, second, and third) who were chosen by random stratification method, by (154) males and (246). Females.

 The researchers prepared the research tool: the deductive reasoning test that consisted of (24) items. Second, the psychometric properties of the apparent and constructive validity and reliability were verified by the internal consistency method. The following statistical methods were used: (Chi-square, the equation of difficulty and ease, the discrimination equation, the T-test for one sample, the T-test for two independent samples, the point bilateral correlation coefficient, the Pearson correlation coefficient, the Keoder Richardson equation 20, the Alpha Cronbach equation. (Middle school students have a high degree of deductive reasoning.)
Algorithm For Nonlinear Transformations Of Local Contrasts
Authors: Et. al. D. T. Muhamadiyeva,
Published: January 2024

Enhancing contrast is one of the important tasks of image processing, pattern recognition and machine vision.  The solution to this problem directly related to an increase in the likelihood of correct image perception.  The paper presents fuzzy methods for improving images, which based on nonlinear transformations of local contrasts, taking into account the peculiarities of human vision.
Mathematical support for solving the classification problem using neural network algorithms
Authors: Et. al. D T Mukhamedieva,
Published: January 2024

The article considers the problem of increasing the efficiency of solving the classification of an unknown object in a neural network algorithm in the case of a data set. In such cases, it is important to select the number of neurons in the neural network layers and adjust the parameters to redistribute the errors. The mathematical apparatus and algorithm of the neural network in solving the classification problem are given in detail, and the results are analyzed using model problems.
A Review On TAM-SCT Model Perceptions Towards Telematics Technology Adoption
Authors: Et. al. Iza Darlyna Kamarudin,
Published: January 2024

The purpose of this paper is to drawn an analysts review on Technology Acceptance Model (TAM) with Social Cognitive Theory (SCT) in the context of adoption telematics technology. Design/methodology/approach – Using ATLAS.ti 9 approach, this paper aims to do a systematics review on literature of seven years 2013 to 2020 on the TAM, SCT and studies involved in telematics. This is to find out the trend’s practices for both model theory and telematics. The use on link of auto coding feature in ATLAS.ti 9 in TAM and SCT may reflect the factors influence consumers in encouraging and discouraging the intention to adopt telematics technology. Findings – A thematic review of these 30 articles identified 20 initial codes characterizing TAM, SCT and Telematics. This concept has found out two interesting finding. Frist is about attitude which reflect TAM and SCT. Second is about human which reflect SCT and telematics. The analyze result presented the current trends on despite of TAM, SCT and telematics pattern and found in the connection relationship in practices. Originality/value – Many advanced technologies transform into the digital environment service using telematics device applications, but the review of adoption intention by consumers remains unknown and rarely reflected. This study will give insights based on data analysis to discover the possibility in regard to predict consumer perception reflection.
Predicting a Risk of Diabetes at Early Stage using Machine Learning Approach
Authors: Et. al. Sanskruti Patel,
Published: January 2024

Diabetes, known also as Diabetes mellitus, is a prolonged disease that distresses a way body uses to take up sugar or glucose. It can be described as a condition occurs when the blood sugar of a body is too high. The cases of diabetes are rapidly raising in low- and middle-income countries as compare to high income countries. Advancement in the field of Information and Communication Technology (ICT) are revolutionizing many sectors including health care and medical technologies. It plays a critical role in improvising services offered to patients and hospitals. Machine learning is a field of Artificial Intelligence that makes computer system to learn from data, identify the patterns and take decisions without human intervention. Machine learning can be applied on medical datasets to detect and diagnose diseases in an effective and accurate manner. This research focuses on applying machine learning classifiers on the publicly available dataset that contains signs and a symptom of either a person is diabetic or non-diabetic. For that, a dataset for early-stage diabetes risk prediction is acquired from UCI machine learning repository. The well-known machine learning classifiers i.e., Naive Byes, Random Forest, Support Vector Machine and Multilayer Perceptron are experimented on the dataset and the results are analysed. Finally, the result shows that the Random Forest provides the highest values i.e. 0.975 for precision, recall and F-measure respectively. Multiplayer perceptron also works well with 0.96 precision value, 0.963 recall value and 0.964 F-measure value, respectively.
Strategic Planning and Public Sector Effectiveness in Jordan: A Conceptual Approach
Authors: Et. al. Shuroog Hassan Ali Obeidat,
Published: January 2024

Strategic planning has recently become more widely accepted in recent theorization, and it has been seen as a physical, social, emotional, even spiritual and complex human activity. Thus, the aim of this study is to investigate the correlations between some selected strategic planning practices and organizational effectiveness in public sector of Jordan. The study will approach this conceptual research by reviewing the relevant past studies pertaining to strategic planning process, affective commitment and organizational effectiveness in Jordan. Additionally, this study is examining the important dimensions of strategic planning practices that are considered crucial in a situation where organization is facing global, complex and highly turbulent external environment. Those measuring practices are horizon of planning, locus of planning, flexibility of planning and environmental scanning intensity while being mediated respectively by affective commitment with their relationships with organizational effectiveness. The Herzberg’s Two-Factor Theory as an underpinning theory shows that the overall connection of these variables determines how an individual’s behaviour is affected or altered by individual-work place relationship which include the economic and social environment, technology and the pace of environmental change.
Some Labelings On Cycle With Parallel P4 Chord
Authors: Et. al. A. Uma Maheswari,
Published: January 2024

In this paper we focused, to obtain some results on labeling of cycle graph, Cycle C2m (m ≥ 3) and C2m+1 (m ≥ 3) with parallel (path) P4 chords. We have proved, every cycle C2m (m ≥ 3) and C2m+1 (m ≥ 3) with parallel (path) P4 chords is a vertex odd mean graph and vertex even mean graph, though it satisfied their labeling. And also graph is proved for Square Sum labeling and Square Difference Labeling on cycle C2m (m ≥ 3) and C2m+1 (m ≥ 3) with parallel (path) P4 chords.
Big Data Analytics Performance Enhancement For Covid-19 Data Using Machine Learning And Cloud
Authors: Et. al. Govindaraju G N,
Published: January 2024

The exponential rise in software computing, internet and web-services has broadened the horizon for BigData that demands robust and highly efficient analytics system to serve timely and accurate distributed data support. The distributed frameworks with parallelized computing have been found key driving force behind the contemporary BigData analytics systems; however, the lack of optimal data pre-processing, feature sensitive computation and more importantly feature learning makes major at-hand solutions inferior, especially in terms of time and accuracy. Unlike major at hand methods employing machine learning for BigData analytics, in this paper the key emphasis was made on improving pre-processing, low-dimensional semantic feature extraction and lightweight improved machine learning based feature learning for BigData analytics. Noticeably, the proposed model hypothesizes that an analytics solution with BigData characteristics must have the potential to process humongous, heterogenous, unstructured and multi-dimensional features to yield time-efficient and accuracy analytical outputs. In this reference, we proposed a state-of-art new and robust BigData analytics model, specially designed for Spark distributed framework. To process analytical task our proposed model at first employs tokenization, followed by Word2Vec based semantic feature extraction using CBOW and N-Skip-Gram methods. Our proposed model was found more effective with Skip-Gram Word2Vec feature extraction. Simulation results with a publicly available COVID-19 data exhibited better performance than existing K-Means based MapReduce distributed data frameworks.
Feature Selection Based Enhancement Of The Accuracy Of Classificationalgorithms
Authors: Et. al. A. Adhiselvam,
Published: January 2024

Feature selection is played vital role for classification algorithmsin the machine learning. In real time data mining process, irrelevant features which are available in the dataset may decrease the accuracy level of the classification algorithms. The selection ofthe appropriateand relevant features of the dataset in classification problems is the important role in data mining.  The aim of the research work is to increase accuracy level of the classification algorithmsusing feature selection technique with different domain datasets.This paper also comparesaccuracy of different classification algorithms with and without feature selection method. The classification algorithms such as Bayesian Net, Naïve Bayes, Multi Layer Perception, logistic regression, J48 and Random Forestare used with feature selection methodusing different domain datasetssuch as Breast Cancer, Glass, Iris and Weather for comparison.This experiment is done with the help of Weka tool and datasetsin the machine learning repository.  Feature selectiontechniques are effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy and improving result comprehensibility. However, the recent increase of dimensionality of data poses severe challenge to many existing feature selection techniques with respect to efficiency and effectiveness.
Automate The Mapping Phase Of Drug Side Effects Using NLP Techniques
Authors: Et. al. Dr. D. V. Lalita Parameswari,
Published: January 2024

Drug safety is an important science to detect threats related to medication consumption. Drug monitoring is often referred to as drug defence. For example, medicine's side effects can be caused by interactions, excessive doses and violence. In addition, information must be collected and mapped to predefined terms to find models in which the unintended effects are induced. This mapping is today manually conducted by experts, which can be very time consuming and challenging. In this paper the aim is to automate the mapping phase of side effects using techniques for machine learning.The model was created using data of pre-existing mappings of literal side effect expressions. The last design used the pre-trained BERT language model and the latest findings were obtained inside the NLP. The final model was correct at 80.21 percent in the evaluation of the test range. Some wordings were found to be very difficult to define for our model, mainly because of uncertainty or lack of literal knowledge. Since a threshold was introduced that left the most difficult to identify wordings for manual mapping, which is very important to make mapping correctly. However, this method could still be improved because suggested terms were created from the model, which could be used as support for the manual mapping specialist.
Deep Learning Strategy to Recognize Kannada Named Entities
Authors: Et. al. M. Pushpalatha,
Published: January 2024

Entity representatives are useful in understanding the natural language tasks including the semantics of the Kannada sentences into various entities. In this paper, we have come up with new pertained tag based representative learning of words and entities based on the bidirectional parsing. The proposed research works on segmenting the sentences of Kannada words into various taken, where every token makes various contributions in understanding the semantics of Kannada Sentences which treats words and entities in a given text as independent tokens, and outputs tagged entities based on representative learning mechanism. The research also has focused its attention towards achieving the results of good classification accuracy while recognizing the entities are through the tagging mechanism that is an extension of the general self-tagging  mechanism of the Supervised Machine Learning Technique, and considers the types of tokens (words or entities) when computing attention scores. The erected research work has given its significant contribution in terms of good results over a standard benchmark datasets. In particular, it obtains state-of-the-art results on five well-known datasets: Open Entity (entity typing), TACRED (relation classification), CoNLL-2003 (named entity recognition), ReCoRD (cloze-style question answering), and SQuAD 1.1 (extractive question answering) as well as Kannada Named Entity Recognition of Central Institute of Indian Languages.
New Stability Results of Multiplicative Inverse Quartic Functional Equations
Authors: Et. al. Beri V. Senthil Kumar,
Published: January 2024

The purpose of this investigation is to introduce different forms of multiplicative inverse functional equations, to solve them and to establish the stability results of them in the framework of matrix normed spaces. A suitable counter-example is also provided to prove the instability of the results for a singular case. The applications of the equations dealt in this study are discussed with the fluid resistances of blood vessels and also an important concept in Raman spectroscopy.

2010 Mathematics Subject Classification. 39B82, 39B72.
Analysis The Impact Of Photovoltaic System For Loss Minimization In Modern Power System
Authors: Et. al. Anbarasan. A,
Published: January 2024

This paper proposes to analyze the influence of the installation of photovoltaic systems in the power system network. In conventional power system network contains a synchronous generator to generate real and reactive power and it is located far away from the load center due to availability of raw material and water etc. This long distance transmission of power leads to losses in the system and it can be reduced by placing the power generation system nearer to the load center. The development of renewable sources of energy like wind power generation system and photovoltaic power generation will play vital role in this direction of loss minimization of the power system network. In modern power system, the installation the renewable sources of energy are very much essential to avoid the contamination of environment and to meet the future increasing electrical power demand. Hence, it is important to analyze the benefits of photovoltaic systems for the minimization loss of power in the power system. Here, WSSC 9-bus system is considered to analyze the impact of the proposed scheme.
Design And Analysis Of Chainless Transmission Electric Bicycle
Authors: Et. al. Mr. V. Kondusamy,
Published: January 2024

With increasing in an air pollution and scarcity of fuels (petrol and diesel), electric bikes were playing an important role in this new era. E-bikes were eco-friendly and cost effective for transportation. The demand and constantly increasingly of petrol and diesel cost has made engineers to think for new source of energy for transportation. Electric vehicles gave a breakthrough solution to satisfy the needs required but the cost of electric bikes or e-bikes were too high that normal people cannot afford it easily. In order to fill that gap that everyone to afford an electric bike, this project aimed to design an electric bike. In this project, mainly to reduce the manufacturing cost the electric bike is converted the normal bicycle to an electric bike; the project work designed it in the manner it can be propelled through both manual and electric drive called as e-cycle or hybrid bicycle. In addition to this conversion, an attempt has been done to design this hybrid bicycle without chain, i.e.: gear and shaft mechanism for transmitting the power. Own frame has been designed for the e-cycle which can be used for load carrying purpose also. Frame was designed using solid works and with the help of analyses this project came to the conclusion to use AISI 4130 as a frame material for this hybrid cycle.
Computational Analysis Of 2d Aerospike Nozzle With Base Bleed At Different Altitudes
Authors: Et. al. Santhosh Kumar,
Published: January 2024

In the present-day scenario, several nozzles are being developed to achieve better efficiency. Among them, the aerospike is one such nozzle. The aerospike nozzles are yet to be utilized in the aerospace sector but are believed to exhibit better performance than the conventional bell-shaped nozzles that are currently in service. The geometry of the aerospike nozzle enables it to adjust to its environment by modifying its outer jet boundary thus, making it more efficient than the other types of nozzles.

Simple approximation method is used to get the coordinates of the nozzle contour using MATLAB. To compare the performance characteristics, both full and truncated spike nozzles were designed using SOLIDWORKS. In order to improve the performance of the truncated aerospike nozzles, they are provided with base bleeds. The flow behaviour was analysed using Computational Fluid Dynamics (CFD) software – ANSYS. These designs were simulated for different pressure outlet conditions, to compare the performance of full length, truncated spike with and without base bleed, at different altitudes.
State Wise Modeling and Descriptive Analytics with Data Visualization of Indian Southern Power Grid Operation
Authors: Et. al. J. Dhanalakshmi,
Published: January 2024

The energy grid storage is a collection of methods used to store large-scale electrical energy within an electric grid. Data visualization alludes to the procedures used to data or information by encoding it as visual plans. The goal is to pass on information obviously and gainfully to customers. It involves producing images that impart connections among the represented data to viewers of the images. Data visualization design toolkits help clients to investigate information and make representations. In this paper, we present data visualization design for demand data based on state wise of Demand Met, Day Energy Forecast and Deviation particulars over day wise and week wise of southern regional grid for various states is proposed. The performance measure of state wise outcome is determined by visualizing its demand needs over its state energy consumption where tamilnadu leads its maximum energy needs compared with other states.
Cartesian Product Of S•− Valued Graphs
Authors: Et. al. M. Abirami ,
Published: January 2024

The Notion Of S- Valued Graphs Developed In The Year 2015. Later We Study The Different Products In S-Valued Graphs. In Particular, We Studied The Concept Of S-Valued Graphs By Means Of Cartesian Product. In This Paper, We Precede The Idea Of S• Valued Graphs And Their Cartesian Product Along With Some Regularity Conditions.
A Study On Impact Of Quality Management System On Organizational Performance At Oil Seal Manufacturing Industries In Madurai
Authors: Et. al. R MuthuKrishnan,
Published: January 2024

Manufacturing units are often facing a challenge regarding the cost-reduction, product quality, and productivity in their operations, customer complaint and reduced customer relationship. To remain competitive, the industry must meet the optimal Production Lead Times and Prices, as well as provide outstanding customer service. As a result, companies are concentrating more on the needs and satisfaction of their customers. Mostly they use the Quality Management System to achieve the aforesaid objectives. This study focuses on the impact of Quality Management System on organizational performance in oil seal manufacturing plants at Madurai. Various literature reviews were studied and the hypothesis was framed. The analysis was done based on factors like customer satisfaction, product and process control, improved SCM, reduction in quality cost and improved employees’ involvement. The result was in favor of the study which suggested that the Quality Management System impacts the organization in a positive way.
Study of Mechanical properties of Sand extracted from Overburden of WCL Mines – the Effective Sustainable Sand Solution
Authors: Et. al. B.V.Bahoria,
Published: January 2024

Ecological environment concerns are being raised against exploitation of natural resources. The lack of consensus are mostly related to preserve soil beds from erosion and the fact of having natural sand as a filter media for ground water. For a period of time, coal industry in India is facing shortage of river sand due to new mining laws and its increasing demand in infrastructure expansion. The present study concentrates on study of extraction of sand from the overburdens of opencast mines of Coal fields and its feasibility as a fine aggregate in concrete.   The surcharge soil spread over in mines needs to be removed for separation of coal to an external dump till ample space is produced for back filling by obtaining of land nearby coal carrying area. Moreover surcharge waste needs to be managed at the time of closure of mine for land acquisition. In present project study of physical properties  of extracted sand from overburden and natural sand from river bed is compared and effort is made to utilize the waste generated in tones into sustainable sand solution.
Incorporating Multimedia To Enhance An Effectual Learning Inside Language Classroom
Authors: Et. al. P. Preethi,
Published: January 2024

Nowadays, Teachers of English Language Teaching endeavours the most innovative method of incorporating multimedia technology to enhance students’ enthusiasm, assimilate language skills and self-learning circumstance. The main goal of this research paper is to explore Language learners’ response with appropriate statistical proofs towards multimedia tools in common and its influence in enhancing accentual patterns of commonly misspelt English words in specific. It also observes the outcome of multimedia and the teacher's part in facilitating students' to acquire vocabulary easily. The statistical investigation was taken at VISTAS, Chennai, Tamilnadu, in three ways and the outcome of utilizing multimedia devices was discovered to be stupendous and engrossing.
Modelling Of PSO - Multilevel Converter To Compensate Unbalanced Voltages
Authors: Et. al. T.Santhosh Kumara,
Published: January 2024

This paper proposes a concept of multilevel H-bridge converter based STATCOM to compensate the voltage fluctuations. The control structure of STATCOM is implemented with conventional PI and PSO controllers. The reference signals required for the PSO controller is obtained by dc link voltage of STATCOM. Both the proposals can be controlled to the various objectives such as regulation of voltage,reactive power and harmonic cancellation and unbalanced remuneration. An interesting application for APF based on the PSO can be an increase in the quality of the energy and exposition of the electric train traction power supply system. Pont h based on APF as well as the control strategy they offer is simulated
A Novel Review on Modular Multilevel Converter for Induction Motor Drive Applications
Authors: Et. al. P. Deepak Reddy,
Published: January 2024

Variable speed drive applications in the industrial vicinity playing a vital role in nation development. The majority of the industries are engaged with AC induction machine drives due to easy, smooth and reliable drive operations for its various variable drive applications. Recent advances in power electronic technologies makes the efficient control schemes to obtain a smooth and reliable variable speed drives. Modular multilevel converter (MMC) technique plays a significant role in applications of high power rating such as HVDC. The application of these modular multilevel converter techniques now extended to various variable induction machine speed drive applications in industrial services due to its superior benefits of investment and life cycle cost. Modular multilevel converters designed in number of modules to obtain ripple and harmonic less voltage out puts of the induction machines. Different topologies and control strategies of modular multilevel converters are observed and employed by the various researchers elsewhere in the world. This paper presets a novel review on applications of modular multilevel converters used in different drive applications. Also, this paper presents a detail review on different topologies and control schemes used elsewhere in the world and made suggestion on application of efficient modular multilevel converter technique configuration to obtain effective performance of induction machine at different drive applications