bluuebunny/crossref_metadata_2025 huggingface dataset:
A performance-based contract of employment as an innovative mechanism for stimulating the work of scientific and pedagogical workers
Authors: Svechkarev V. G. , Ivashchenko T. A. , Belous L. K. , Galunko T. E.
Published: April 2024

The modern education system is subject to changes, accompanied by the introduction of a number of innovations, because it must adapt to the requirements of a dynamically developing society. Among such innovations is the introduction of an effective contract in the state universities as an innovative mechanism for stimulating the work of scientific and pedagogical workers. The need for criteria-based assessment of the effectiveness of a higher school teacher, depending on the individual results of his work, has actualized the importance of studying the problem of an effective contract model in higher education and identified the research problem: what is the essence of an effective contract as an innovative mechanism for stimulating the work of scientific and pedagogical workers?

   The purpose of the research is to reveal the essence of an effective contract as an innovative aspect of stimulating the professional activity of a university teacher and its main components.

   The following research methods were used: analysis, synthesis, description, interpretation, comparison. Systematic and logical approaches were used.

   The results of the research: 1) the concept of «performance-based contract of employment» in the legal and scientific-pedagogical field has been described; 2) a brief overview of the concept of an performance-based contract of employment abroad and in Russia has been carried out; 3) the principles for developing criteria for professional achievements of teaching staff have been substantiated.

   Key conclusions: 1) performance-based contract of employment is a balanced decomposition of criteria and performance indicators of the professional activity of a higher school teacher; 2) foreign and domestic concepts of a performance-based contract of employment are largely similar and include a set of interrelated components that reveal all aspects of a teacher’s professional activity: teaching, methodological, scientific,educational and sports; 3) the main principles of criteria-based assessment of scientific and pedagogical workers are: complexity, objectivity, quantitative assessment, adaptability, stimulation and motivation.
The content of the «social literacy» concept in pedagogical theory and practice
Authors: Sirotkin O. E.
Published: April 2024

Scientific research in recent years has documented a violation of the mechanism for the inclusion of young citizens in adulthood and the dominance of consumer attitudes among modern youth. It is quite obvious that one of the indicators of civil society is the desire of people to be its full members, responsible and capable of socially useful activities. The ongoing change in the geopolitical situation in the world has particularly acutely actualized the problem of children and adolescents developing social literacy as a special criterion for the development of society.

   The need to solve this issue determined the research problem, which lies in the insufficient knowledge of the content of social literacy of children and adolescents in modern pedagogical discourse and the demand for a theoretical justification of this term from the standpoint of the modern sociocultural situation.

   Accordingly, the purpose of this research is to reveal the concept of “social literacy” in pedagogical theory and practice.

   The research methods used in the work are the following: analysis of teaching experience and theoretical approaches to the problem under study, synthesis, differentiation, methods of visual presentation of the data obtained.

   The results of the research. The content of social literacy in pedagogical scientific and scientific-methodological research has been revealed; components of social literacy have been proposed.

   Key conclusions: social literacy is understood as an individual’s readiness to socialize safely in the environment; possession of an interdependent set of knowledge, skills and abilities, as well as the necessary personal qualities that ensure the formation of this readiness; social literacy includes a set of interrelated components: personal, activity and reflexive, identified on the basis of systematization of axiological, environmental, competence and multi-subjective approaches.
Modern methods of learning geographical nomenclature using toponymy in the course of «Geography of Russia. Nature and population» at school
Authors: Tuova T. G. , Teuchezh F. D. , Tuguz F. V.
Published: April 2024

The relevance of the research. Formed interest in learning is the basis for enhancing the cognitive activity of schoolchildren; creation of a positive motivation for learning, which will lead to positive motives for learning, that subsequently turn into a stable interest in learning, and interest into the need for learning. Such interest in mastering geographical nomenclature can be formed by improving teaching methods using toponymy.

   The problem statement. School practice shows that the study of geographical objects and nomenclature proceeds in a reproductive way, mainly based on memorization, which negatively affects the quality of knowledge. In this regard, the problem arises of finding possible methods for assimilating geographical nomenclature that will intensify the process of their assimilation.

   The purpose of the research is to substantiate experimentally modern methods for mastering geographical nomenclature using toponymy in the course of «Geography of Russia. Nature and population» at school.

   The results of the research allowed us to draw the following key conclusions: 1. Modern methods of mastering geographical nomenclature include: toponymic methods (identifying the semantics and etymology of geographical names); teaching methods (partially exploratory, problem-based and research). 3. Analysis of the results of questioning and testing of students of the Maikop Gymnasium No. 22 in 2023/2024 academic year have shown positive results of the pedagogical experiment and proved the validity of the proposed methods for mastering geographical nomenclature using toponymy.
Survey on Machine Learning Models to Analyze Urinary Tract Infection Data
Authors: Impana K. P  , Akanksh Saya  , Bhagyashri Shetty H  , Chagi Manaswini  , Charudisha A. Ashjay
Published: April 2024

A urinary tract infection, or UTI, is caused when bacteria get into the urinary tract- kidneys, bladder, or urethra. UTIs cause more than 8.1 million visits to healthcare providers each year. About 60% of women and 12% of men get infected with UTI during their lifetime, therefore being more prominent in females. UTIs can be found by analyzing a urine sample. The urine is examined under a microscope for bacteria or white blood cells that show infection. Healthcare providers may also take a urine culture. This test examines urine to detect and identify bacteria and yeast, which may be causing a UTI. Several models have been proposed to predict urine culture positivity based on urinalysis. Applications of machine learning (ML) methods have been used extensively to solve various complex challenges in recent years in various application areas. ML methods are characterized by their ability to examine data and discover exciting relationships, provide interpretation, and identify patterns. ML can help enhance the reliability, performance, predictability, and accuracy of diagnostic systems for many diseases. This survey provides a comprehensive review of the use of ML in the diagnosis of Urinary Tract infection in human beings. To provide a reliable classification of results assistance of 27 algorithms was tested. Algorithms applied included Logistic regression, Decision tree, Random Forest, and Support Vector Machine. Each model was evaluated by F1-score, AUC-ROC, accuracy, sensitivity, and specificity. Baseline epidemiological factors, previous antimicrobial consumption, medical history, and previous culture results were included as features. Machine learning models such as the Artificial neural network have been used as well for the prediction of the presence of urinary infection. Some specific parameters have been selected with the help of the Analysis of variance technique which gave high accuracy. This survey provides a comprehensive review of the use of ML in the medical field highlighting standard technologies and how they affect medical diagnosis. It provides valuable references and guidance for researchers, practitioners, and decision-makers framing future research and development directions. It is found that Machine Learning models can improve the early prediction of urine culture positivity and UTI by combining automated urinalysis with other clinical information. Clinical utilization of the models can reduce the risk of delayed antimicrobial therapy in patients with nonspecific symptoms of UTI and classify patients with UTI who require further treatment and close monitoring. In conclusion, the paper provides a survey on the machine learning models used with the highest accuracy to detect UTI potential patients.
Optimization of Nutrients Concentration Required for the Bioremediation of Petroleum Contaminated Soil
Authors: Ashwini G  , Dr. Basappa B Kori
Published: April 2024

There is a growing public concern as petroleum hydrocarbons are being introduced inadvertently or deliberately in large volumes into the environment thus causing a long term threat to all forms of life. Thus remediation of these is of utmost importance. The bioremediation technology is being employed for the degradation of crude oil in soil matrix through microorganisms which can transform petroleum hydrocarbons into less toxic compounds. In this study, optimum nutrients (C: N: P) concentration required for the microbial growth was investigated. The petroleum oily sludge, contaminated soil, soil rich in native microorganisms was collected and the same was used to prepare simulated contaminated soil which was filled up to 3/4th of the reactors volume. All the parameters except the C: N: P ratio in the reactors were maintained constant throughout the study period. The C: N: P ratios varies from 100:2.5:0.25 to 100:20:2 in the twenty reactors, N and P were amended to make up the required ratios. N and P were not added into the control reactor. Treatability studies on TPH contaminated soil was conducted in all the reactors for a period of six weeks. The results of the study reveals that among the different C:N:P ratios, C:N:P ratio of 100:10:1 gave the maximum TPH removal of 59.57 % with biodegradation rate of 0.022 day/1, R2 obtained was 0.968 which suggest that there exists a strong relationship between biodegradation and time. The results thereby imply that nutrients concentration is the most important factor that affects the biodegradation of petroleum-hydrocarbons in tropical soils.
KAJIAN FILOSOFIS TERHADAP TRADISI A’JANGANG-JANGANG MASYARAKAT KABUPATEN GOWA PRESPEKTIF ASRAR AL-AHKAM
Authors: Salam Nursalam , Halim Talli Abdul , Musyahid Idrus Ahmad , Rahmatullah Nursalam
Published: April 2024

Penelitian ini berjudul kajian filosofis terhadap tradisi A’jangang-jangang masyarakat kabupaten gowa prespektif Asrar al-Ahkam, penelitian ini dimaksudkan untuk mengetahui makna, hikmah dan nilai dari tradisi a’jangang-jangang tersebut. Penelitian ini menggunakan metodologi penelitian kepustakaan, juga dikenal sebagai penelitian literatur. Penelitian ini disebut sebagai "penelitian kepustakaan" karena bahan-bahan atau data yang diperlukan untuk menyelesaikan penelitian diperoleh dari perpustakaan; sumber-sumber ini termasuk tetapi tidak terbatas pada buku, ensklopedi, kamus, jurnal, dokumen, majalah, dan jenis sumber lainnya. A’jangang-jangang adalah merupakan tahap awal dalam persiapan pernikahan adat Makassar yang bertujuan untuk mengetahui status perempuan yang hendak dilamar, sekaligus apakah sesuai dengan bibit, bebet dan bobot sesuai dengan yang diinginka oleh pihak laki-laki Hasil penelitian adalah menemukan nilai filosofis minimal ada 3, yaitu bersilaturrahim sambil memeriksa keadaan keluarga perempuan, dan mencari informasi dengan bertanya kepada tetangganya apakah perempuan itu telah dipinang oleh sesorang atau belum,  mengenal dan melihat terlebih dahulu siapa wanita yang hendak dinikahinya, Mengetahui kebiasaan keseharian dan akhlak dari wanita yang hendak dinikahi, agama (taat beribadah) cantik rupanya, garis keturunannya dan hartanya, Penelitian ini menunjukkan bahwa pemerintah setempat harus lebih memperhatikan fenomena sosial di masyarakatnya, terutama yang berhubungan dengan budaya atau tradisi perkawinan. Apalagi jika makna tradisi tersebut telah mengalami pergeseran. Tokoh adat dan tokoh masyarakat harus mendorong masyarakat untuk mempertahankan tradisi baik selama tidak bertentangan dengan syariat Islam.
Analisis Pengaruh Kenaikan Penghasilan Tidak Kena Pajak (Ptkp) Terhadap Penerimaan Pajak Penghasilan Dan Daya Beli Wajib Pajak Orang Pribadi (Wpop)
Authors: Triyandari Nugroho Novemy , Desy Anugrahen Bernadheta
Published: April 2024

Abstrak

Penghasilan Tidak Kena Pajak merupakan salah satu komponen pengurang dalam PPh atau lebih tepatnya PPh Orang Pribadi 21, dimana pengurangan penghasilan dapat dikenakan tarif pajak. Bahwa semakin besar batas penghasilan tidak kena pajak yang diterapkan, semakin kecil pajak terutang yang akan disetorkan karena sifat penghasilan tidak kena pajak adalah berkurang. Namun, di sisi lain, peningkatan pendapatan tidak kena pajak menyebabkan daya beli masyarakat meningkat karena pendapatan yang digunakan untuk membayar pajak dialihkan untuk kebutuhan konsumsi lainnya. Jadi meskipun penerimaan pajak penghasilan akan menurun, penerimaan pajak di sektor lain akan meningkat karena perubahan penghasilan tidak kena pajak. Dalam penelitian ini, penulis menggunakan metode deskriptif kualitatif. mengumpulkan data sekunder untuk membuat laporan ini dengan dokumentasi dan studi literatur. Hasil analisis menunjukkan bahwa besarnya PPh 21 akan mempengaruhi besaran PPh 21 orang pribadi, besarnya PPh 21 juga akan berpengaruh terhadap PPh 21 terutang orang pribadi. Dengan menurunnya pajak penghasilan yang terutang bagi orang pribadi, kesejahteraan dan daya beli masyarakat juga akan meningkat. Penurunan penerimaan PPh orang pribadi 21 bagi pemerintah diharapkan dapat meningkatkan penerimaan penerimaan di sektor pajak lainnya.
Molecular Imaging in Medicine: Past, Present, and Future
Authors:   Department of Biomedical Engineering, University of Texas Southwestern Medical  Center, USA, Kang Shu , R. Zurutuza Ian ,   Department of Biomedical Engineering, University of Texas Southwestern Medical  Center, USA, T. Zaman Raiyan ,   Department of Biomedical Engineering, University of Texas Southwestern Medical  Center, USA
Published: April 2024

Recent advances in molecular imaging have facilitated early disease detection, diagnosis, and therapeutic efficacy monitoring. Clinicians aspire to achieve prompt diagnosis, provide personalized treatments, and accurately monitor and quantify therapy effectiveness. This has fueled a growing interest in tracing biomarkers and biochemicals associated with disease progression. Identifying crucial biomarkers and refining accurate, minimally invasive monitoring methods are the pivotal focuses of ongoing molecular imaging research. Consequently, there is a notable surge of interest in developing molecular probes and multi-modal systems to enhance imaging capabilities. This review is intended to provide an overview of the promise and limitations of different modalities employed in molecular imaging for patient care, along with the ongoing research aimed at innovating novel imaging agents and devices. Molecular imaging holds the potential to revolutionize disease diagnosis and treatment.
Scale Development and Inferential Analysis of Service Quality in Higher Education: A Sequential Exploratory Mixed-Method Study
Authors: Pierre Gersha
Published: April 2024

In response to the consumer-oriented shift in higher education, institutions are embracing technology and flexible delivery to enhance services. This is critical for student attraction, retention, and academic success. Consequently, the focus on service quality and student satisfaction has grown. This study investigates service quality expectations and perceptions of students in a local Caribbean -based tertiary institution. A novel scale, the “Service Quality Scale for Higher Education (SQSHE),” is developed using a sequential-exploratory mixed-method approach. The SERVQUAL-driven Disconfirmation framework informs this scale, measuring the gap between expected and perceived service encounters. Three focus group interviews generate a 53-item pool, refined to a 23-item scale with four dimensions: student well-being, service efficiency, social interaction, and value co-creation. The SQSHE demonstrates reliability, stability, and internal consistency. Data from 179 participants via an online questionnaire reveal four service quality dimensions, with two displaying significant negative gap scores. This culturally relevant four-factor scale contributes significantly to higher education research. By addressing student expectations, institutions can enhance strategies to elevate satisfaction and success rates.
An Overview of the Impact of Tourism on Host Society
Authors: Yadav Ankita
Published: April 2024

Since ancient times, India has been a rich country, especially for their culture and holy activity. Travel has existed since the beginning of time when the primitive man set out, often traversing great distances, in search of a game that provided the food and clothing necessary for his survival. Throughout history, people have traveled for purposes of trade, religious conviction, economic gain, war, migration, and other equally compelling motivations. Nowadays tourism has become a global social and cultural phenomenon as people all over the world move from place to place, increasingly beyond the borders of their own countries. Tourism activities have an impact on the host society. According to Aristotle, ‘Human is a social animal by nature, along with Durkheim’s theory ‘The personality of Human beings is connected to their society’s norms and values, so in the process of tourism society gets affected. This paper aims to find out the socio-cultural impact of tourism on the host community and changes in social life through tourism. It is important to know the consequences of tourism on the ground level, and now it becomes a social phenomenon to study from a sociological perspective. This paper is based on secondary data and it presents a short analysis of this topic.
Book Review: MEN’S LIB and Other Literary, Cultural and Personal Essays by Kumar Vikram
Authors:   Critic, Translator and Writer, Kumar Akshey
Published: April 2024

This article reviews MEN’S LIB and Other Literary, Cultural and Personal Essays by Kumar Vikram (2022). The book provides a hope that essay as a genre is here to stay for years to come. Vikram has presented a unique bouquet of his literary, cultural, and personal essays written and published over 15 years from 2004 to 2020. The essays in the book have been categorized as socio-cultural, literary, and personal. The book showcases Vikram’s own evolution as an essayist who creates his narratives based on lived experiences, academic rigour, critic’s mind, and layman’s inquisitiveness. The author provides a fresh perspective on some of the historical, literary, cultural, and political figures as well as imageries and provokes the readers to challenge their worldviews in inimitable style. Essays in the book are likely to trigger discourses and conversations around contemporary social, literary, and personal issues.
Corporate–NGO Collaboration for Course Correction on Climate
Authors:   Journal of Management & Public Policy, Vatsa Madhukar
Published: April 2024

Urgency regarding immediate concerted efforts to checkmate the looming climate crisis has been widely acknowledged by leaders of all hues across the world. Already, the governments of the world are committed to the Sustainable Development Goals (SDGs). However, attaining the SDGs by 2030 may not be possible without a strong collaboration between the corporate and the NGOs. This article tries to examine the imperatives for Corporate—NGOs collaborations and how they can effectively contribute towards climate action to protect the earth from vagaries of nature caused by phenomenal industrialization, urbanization, and consumerism. It makes sense that the corporations join hands with the NGOs when both are pursuing the same SDGs in the best interest of humanity.
Dyadic Coping as Predictor of Psychological Wellbeing in the Times of Social Isolation
Authors:   Apeejay School of Management, Jha Shweta , Saklani Alok ,   Apeejay School of Management
Published: April 2024

Incidence of social isolation i.e., the state of being disconnected from social relationships, has increased significantly in the aftermath of Covid-19. In turn, the emerging phenomenon of social isolation across the world has impacted the interpersonal relations among married couples, among other consequences. This research studies dyadic coping and psychological wellbeing among married individuals in India and also explores whether dyadic coping strategies can predict psychological wellbeing of people afflicted by social isolation in the post-Covid-19 scenario. Results of the study indicate that dyadic coping predicts psychological wellbeing to a great extent. Among males, supportive dyadic coping impacts the psychological wellbeing while among females, common dyadic coping prominently predicts psychological wellbeing. All dimensions of dyadic coping have a significant correlation with psychological wellbeing except Negative Dyadic Coping by Oneself and Negative Dyadic Coping of the Partner, which do not seem to have any association with the latter.
Adopting Digital Technology to Overcome Challenges of Circular Economy: A Case Study of Platform-based Start-up in India
Authors:   DDGD Vaishnav College, Chennai, Amaleshwari U , Jeevitha R ,   DDGD Vaishnav College, Chennai
Published: April 2024

Digital transformation is driving growth in a wide range of industries. At the same time, circular economy has gained traction as a means of optimizing resource utilization and augmenting profitability induced by innovations and operational efficiency. Academics, policy analysts and practicing managers have been keenly observing how digital technology relates to circular economy. This article examines how the Indian start-ups are trying to tackle the challenges posed by circular economy through adoption of digital technologies. The article also probes how implementation of digital technology and circular economy practices relate to each other in terms of improving operational efficiency and increasing productivity as well as profitability in the long run. The article is likely to enable the practicing managers to develop a holistic perspective on adopting digital technology with an eye on the gains accruing from circular economy. Academics and researchers can gain fresh insights from this article to carry out studies on implications of combing adoption of digital technology with circular economy.
Global Capability Centres in India: Current Scenario and the Way Forward
Authors:   Apeejay School of Management, Jha Srirang
Published: April 2024

Global Capability Centres (GCCs) have emerged as the greatest growth engine in India during the past two decades. However, the success story of GCCs in India is constrained by regional imbalance in the upward journey of the country towards prosperity and progress. While the GCCs have transformed the industrial landscape of southern states in India, the northern and eastern states of the country have remained backward. Setting up of GCCs in the backward states of India require significant investments in world class infrastructure like Technology Parks and Special Economic Zone. It is hoped that the new government after elections in 2024 will pay heed to the aspirations of the backward regions of the country so that the dream of ‘Viksit Bharat by 2047’ can be achieved. Further, expansion of GCCs will mitigate the incidence of unemployment and poverty and help India become 5-Trillion economy in due course.
Comparison of Intravenous Dexamethasone along with Caudal Block versus Caudal Block Alone for Postoperative Analgesia in Pediatric Lower Abdominal Surgeries
Authors: Muhammad Haroon Anwar  , Hassam Zulfiqar  , Naseer Ahmad  , Abeera Zareen  , Jawad Zahir  , Inam Ul Haq
Published: April 2024

dexamethasone to a caudal block in enhancing the duration and quality of postoperative analgesia in pediatric patients undergoing lower abdominal surgeries.
Methodology: This Randomized Control Trial was carried out Department of Anesthesia, Holy Family Hospital, Rawalpindi from December 2021May 2022. Patients fulfilling inclusion criteria were divided into two groups. Both groups received caudal block with 1 ml/kg of 0.25% Bupivacaine while group A received 0.25 mg/kg of Dexamethasone intravenously as an adjuvant. Post operatively patients were assessed by FLACC scores at different time intervals. All surgeries were conducted under general anesthesia with endotracheal intubation. Either Mapleson F (Jackson Rees Modification of Ayre’s T piece) or circle system used as breathing circuit. Induction of anesthesia using propofol at a dose of 2-2.5 mg/kg along with O2 100% or with sevoflurane 2 to 3% at fresh gas flow of 6 L/minute was carried out. Data was analyzed using SPSS 26.0.
Results: Mean duration of analgesia in Group A was 7.77 ± 1.38 hours while it was 5.44 ± 0.91 hours in group B. The difference was statistically significant with a p value of less than 0.05 on Mann Whitney U test.
Conclusion: Addition of intravenous dexamethasone to caudal block significantly enhances the duration and quality of analgesia among pediatric patients undergoing lower abdominal surgeries.
Energy «injection» concept. Part 1. Strategic partner
Authors: Seregina А.
Published: April 2024

The article examines the prerequisites for expanding interaction between Russia and India, taking into account the continuing status – a particularly privileged partnership. The analysis of bilateral and multilateral interaction carried out in the article showed that the potential for cooperation between countries remains practically unrealized.

Part 1 is devoted to the analysis of bilateral interaction in the field of the fuel and energy complex. It is shown that energy potential can become a catalyst for deepening interaction and transition to a “cooperation” format between countries.
Movie Recommendation System Using Optimized RNN Approach.
Authors: Anarase Gayatri R  , Kaduskar Priya R  , Prof. Dube D. S.  , Kalangade Prasad
Published: April 2024

This paper proposes a movie recommendation system that utilizes an optimized Recurrent Neural Network (RNN) approach. The proposed system is designed to provide users with personalized movie recommendations based on their previous movie preferences and the sentiments. The system works by taking user input, analyzing their movie preferences using content-based filtering techniques, and generating a list of recommended movies. The RNN architecture used in this system is optimized using a combination of techniques such as dropout regularization, early stopping, and parameter tuning. The proposed optimization techniques aim to reduce overfitting, improve convergence speed, and increase the model's overall accuracy. To evaluate the effectiveness of the proposed approach, we conducted experiments on the Movie Lens dataset. The results indicate that the optimized RNN-based movie recommendation system outperforms other existing recommendation systems such as collaborative filtering, content-based filtering, and standard RNN models. Furthermore, the proposed system achieved a significant improvement in accuracy and provided highly personalized recommendations to users. Overall, the proposed movie recommendation system using optimized RNN approach is a promising solution for providing personalized movie recommendations to users. It can be implemented in various platforms such as movie streaming websites, social media, and other movie-related platforms to improve the user experience and increase engagement
A Comprehensive Review of Security Measures and Implementation Challenges in Cloud Computing
Authors: Sanika Satish Lad  , Sanika Rajan Shete  , Disha Satyan Dahanukar  , Anant Manish Singh
Published: April 2024

Cloud computing has emerged as a cornerstone technology in the IT industry, transforming industries by providing flexible, scalable computing resources but the widespread adoption of cloud services has raised serious data security and privacy concerns. Cybercriminals always pose a threat by targeting sensitive information stored on cloud servers. To mitigate these risks, cloud encryption has emerged as an important safeguard, aiming to protect users data from unauthorized service providers against them and against unauthorized malicious hackers This paper examines the ongoing data security issues associated with cloud computing and analyzes the features and structures of cloud encryption. By examining complex approaches to cloud cryptography including encryption, key management and access control, this paper aims to provide insights into how these technologies can shape the security level of cloud-based systems confidentiality, integrity and availability are maintained, ensuring trust and confidence in cloud computing ecosystems
Cyber AI Research Trends
Authors: Shivam  , Yash Yadav  , Vimmi Malhotra
Published: April 2024

Today day to day there is an increase in cyber threat agents who are continuously coming with strategies which will help them evade the usual defences and end up obtaining or compromising vital information. AI use in monitoring tools by now can count among crucial techniques that help business entities to prevent these dangers. The propelled novel algorithms have replaced ‘human-in-the-loop’ method performing actions to assess security threats making the mechanisms much better.
Such a piece dives into the area of AI robots that are utilized in threat intelligence, in order for machines to quickly discover all loop holes that attackers could use to break into a network. The application of Artificial Intelligence by businesses can in advance of the attacks, rather than as a response after the event, thwart them by the use of algorithms and predictive analytics to spot patterns of anomalies or suspicious activities. AI-powered models covering neural-network based threat identification to natural language processing belong to the spectrum of solutions implementing machine learning trained on datasets and cutting-edge algorithms.
AI-based threat intelligence was presented to public as in line with practical coverage and real life issues and especially through examples. This technical issue might solve the inefficiency of identifying threats soon and thus increase their accuracy once again, in fact, it will use immediate reaction well too, like it used to. An exploration of computer ethics will touch on the topics of cyber security and data handling among others. As for their practical aspects, they have to be derived from moral righteousness founded on inner values.
On the other hand, utilizing AI in threat intelligence processes calls for training of skilled workforce who will, in the long run, be able to face not only today’s cyber threats but also the future ones. In the past ten years reacting was the major issue in analysing cyber intelligence. Through the use of machine learning, enterprises across cyberspace can foresee probabilities of the most burdensome situations for them. Thus, making friendly organizations is the work of great threat intelligence in the 21st century
Compare the Effectiveness of Objective Structured Clinical Evaluation (OSCE) versus Checklist in Demonstration of Antenatal Abdominal Examination among Final Year G.N.M. students.
Authors: Ms. Ritika Janet Singh
Published: April 2024

The OSCE is an approach to the assessment of clinical competence in which the components of competence are assessed in a planned or structured way with attention being paid to the objectivity of the evaluation” Harden, 1988 .The Objective Structured Clinical Exam (OSCE) is a performance- based exam. During the exam, trainees are observed and evaluated as theygo through a series of stations where they interview, examine and treat standardized patients presenting with some type of problem. An OSCE is:
• Objectivity, because examiners use a checklist for evaluating the trainees.
• Structured, because every trainee sees the same problem and performs same tasks in the same time frame.
• Clinical based, because the tasks are representative of those faced in real clinical situations
• An evaluation method
II – Materials and Methods
Comparative research design was used with group I & group II to assess the effectiveness of objective structured clinical evaluation (OSCE) versus checklist in demonstration of antenatal abdominal examination among final year G.N.M students. The study conducted on 30 samples in each group. Data was collected using Objective Structured Clinical Evaluation and checklist for assessing performance of G.N.M final year students on abdominal examination.
III – Results
The overall mean and S.D. of OSCE was 11.03 with a percentage mean of 91.39% and 16.59 whereas the overall mean and S.D. of Checklist was 55.73 with a percentage mean of 79.62% and 11.24. The calculated ‘t’ value was higher than the table value (t58 = , P< 0.01). Hence, the null hypothesis was rejected and research hypothesis was accepted and it was inferred that in the present study there was significant difference between the effectiveness of demonstration on antenatal abdominal examination during pregnancy assessed by Objective Structured Clinical Evaluation (OSCE) & checklist among G.N.M final year students.
Comparing the mean percentage of OSCE and Checklist 91.39% and 79.62%, it is inferred that the mean percentage of OSCE i.e. 91.39% is higher than the mean percentage of Checklist i.e. 79.62%. Therefore, it can be concluded that the OSCE is more effective than the checklist for evaluating the demonstration of abdominal examination during pregnancy.
IV – Conclusion
This study concluded that in comparison to, OSCE was found to be a more effective assessment tool than traditional method checklist. Use of OSCE as formative tool will help in modifying teaching- learning strategies so that both, the teachers as well as the students can derive maximum benefit
An ORL-DLNN and IFIM-MST Framework for Data Quality Improvement in Modern Master Data Management
Authors: Shantanu Indra
Published: April 2024

The process of generating and maintaining a master record for each person in a business is called Master Data Management (MDM). But, during Modern Master Data Management (MMDM), the prevailing methodologies did not focus on data loss. Hence, an Optimal with Recover Layer-based Deep Learning Neural Network (ORL-DLNN) and Indexed Fisher Information Matrix-based Minimum Spanning Tree-based Modern Master Data Management (IFIM-MST-based MMDM) is proposed in this paper. The source data is taken and pre-processed during training. Then, the products are clustered, and the attributes are extracted. Thereafter, by utilizing Dynamic Function-based Gold Rush Optimization (DF-GRO), the optimal attributes are selected. Afterward, for performing format classification with error detection, ORL-DLNN is introduced. Then, by utilizing the Reconciliation Rule (RR), the detected errors are corrected. After that, by utilizing the IFIM-MST, the text records are stored in the primary drive and the video and images are stored in the external drive. The details are entered by the information stewards into the classifier during testing. The data will be corrected if correction is present. Then, for verifying whether the data must be stored or not, some conditions are checked. Hence, the outcomes illustrated that the proposed system obtained a high accuracy of 98.3%, thus outperforming the existing techniques
Soil Base Crop Prediction using Machine Learning
Authors: Prof. Wadgule Y. M  , Nikam Tejas B  , Chavan Visahl M  , Bhambre Akash S  , Tutare Ashok S
Published: April 2024

In general, agriculture is the backbone [Grab your reader's attention with a great quote from the document or use this space to emphasize a key point. To place this text box anywhere on the page, just drag it.] of India and also plays an important role in Indian economy by providing a certain percentage of domestic product to ensure the food security. But now-a-days, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for sowing the reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction. Naive Bayes, a supervised learning algorithm puts forth in the way to achieve it. The seed data of the crops are collected here, with the appropriate parameters like temperature, humidity and moisture content, which helps the crops to achieve a successful growth. In addition as the software, a mobile application for Android is being developed. The users are encouraged to enter parameters like temperature and their location will be taken automatically in this application in order to start the prediction process
SignSense: AI Framework for Sign Language Recognition
Authors: Prof. V. M. Dilpak  , Rewa S. Joshi  , Harshada K. Sonje
Published: April 2024

Sign Language recognition is a pioneering framework designed to advance the field of Sign Language Recognition (SLR) through the innovative application of ensemble deep learning models. The primary goal of this research is to significantly improve the accuracy, resilience and interpretability of SLR systems. Leveraging the unique features of ResNet within an ensemble learning paradigm. The key component of InceptionResNetv2 architecture is its deep and effective feature extraction capabilities. The utilization of InceptionResNet model enhances the model ability to capture intricate details crucial for accurate sign language recognition. This framework is also to scale seamlessly, accommodating an expanding vocabulary of signs, diverse users and dynamic environmental conditions without compromising performance.
Home Automation System
Authors: Ms. A. U. Jadhav  , Ms. S. S. Patil  , Ms. S. S. Ghorpade  , Ms. S. A. Gavade  , Ms. A. A. Patil  , Ms. S. R. Bhosale
Published: April 2024

The world is rapidly moving towards automation as people have less time to handle all the work that needs to be done. Automation is an easy solution to control any product or machine to suit our needs. This article presents the development and implementation of a new home automation system unit using Arduino Nano as the main processing unit. The system integrates multiple sensors such as passive infrared (PIR) sensors for motion detection, gas sensors for monitoring gas issues, temperature sensors for detecting temperature changes, and light sensors for monitoring ambient light, as well as Bluetooth modules for seamless wireless communication and monitoring capabilities. The primary objective of this research is to create a smart and flexible home automation solution that enhances comfort, security, and energy efficiency.
Decoding CIBIL: Understanding the Structure and Strategies for Improvement
Authors: Mr. Rutik Vyawhare  , Dr. Rutuja Deshpande
Published: April 2024

This research paper delves into the intricate dynamics of credit scoring systems, particularly focusing on understanding the structure of CIBIL scores and delineating strategies for improving creditworthiness. Drawing upon theoretical frameworks from financial economics and regulatory economics, the study elucidates key factors influencing credit scores, including payment history, credit utilization, credit type, and duration. Through a mixed-methods approach encompassing secondary data analysis from the official websites of TransUnion CIBIL India and Bajaj Finance Limited, as well as qualitative exploration through thematic analysis, the research uncovers actionable insights for individuals seeking to enhance their credit profiles.By bridging theoretical insights with empirical findings, this study contributes to the literature on credit management and equips individuals with knowledge essential for navigating the complexities of credit assessment and improving financial resilience
Impact of Rera (Real Estate Regulatory Authority) on Consumer Buying Behaviour
Authors: Prof. Mansing Maruti Rabade  , Sanket Arvind Shinde
Published: April 2024

Since a long time, there have been a greater number of calls for better transparency and accountability in real estate transactions. The laws were too ambiguous, the recourse methodologies opaque, the homebuyers unorganized, and the legal process overburdened. According to the Press note report released by Real Estate Regulation and Development Act (RERA) was approved by the Cabinet in May 2016. Real estate is a state-owned entity, and its execution and operations must be executed by every single state and government separately. It also has a reserved right to make necessary changes in the law if necessary. In India, Maharashtra is the first state who has implemented Real Estate Regulation and Development Act for the first time with effect from April 1, 2017. This is most important to implement because in Maharashtra, Mumbai is the leading real estate market in India it has residential as well as commercial properties. Hence, the implementation of this act in Maharashtra significantly plays an important role
Advance System for Over Speed Detection
Authors: Pranaya Salve  , Rutuja Andhale  , Aarti Jha  , Akanksha Shewale  , Prof. H. P. Bhabad
Published: April 2024

One of the top priorities in smart cities is the implementation of an effective over speed detection system. Over speed detection system are crucial components in ensuring the safety and efficiency of various mechanical and transportation system with advancements in technology and the increasing demand for higher levels of safety, there has been significant progress in the development of over speed detection systems. This abstract provides an overview of recent advances in this field. Drivers who excessively speed and those who flout traffic laws significant contributors to increased collisions. This pressing issue demands immediate attention to reduce the seemingly senseless loss of lives.
Additionally, the paper discusses the integration of over speed detection systems into various industries, including automotive, aerospace, maritime, and industrial manufacturing. It highlights the challenges and opportunities associated with the implementation of these advanced systems, such as cost-effectiveness, interoperability, and regulatory compliance
Arquitectura software para el sistema robótico de manipulación dual HortiRobot
Authors: Rodríguez-Nieto Daniel , Ojeda Marta , Navas Eduardo , Fernández Roemi
Published: April 2024

La arquitectura software es un componente crucial en cualquier sistema robótico autónomo, ya que define la estructura organizativa y las interacciones de los diferentes módulos que lo integran. Para que un sistema robótico pueda ejecutar de forma autónoma diversas tareas, se requieren procesos variados, como percibir el entorno, representar conocimientos, tomar decisiones y planificar movimientos. Si bien el desarrollo de cada uno de estos procesos es fundamental, su integración en una arquitectura funcional para su implementación también lo es. Esta integración tiene profundas implicaciones en la gestión de recursos, la adaptabilidad a diferentes entornos y tareas, la flexibilidad para modificar o expandir las funcionalidades y hacer frente a nuevos requerimientos, y la facilidad para el mantenimiento y la actualización del sistema. Por ello, en este artículo se presenta la arquitectura software diseñada para controlar, comunicar e integrar los distintos módulos que componen un bimanipulador móvil, destacando entre sus principales ventajas, la facilidad para depurar errores y llevar a cabo pruebas de nuevas aplicaciones sin el riesgo inherente de dañar el equipo físico. Para demostrar la viabilidad de la propuesta, la implementación de la arquitectura se valida mediante su aplicación al sistema robótico de manipulación dual HortiRobot, concebido para realizar varias de las tareas implicadas en el ciclo de vida de los cultivos agrícolas.
SBAE teachers’ perceptions of science integration and inquiry-based learning
Authors: Smalley Scott , Hainline Mark
Published: April 2024

The integration of science within an agricultural education classroom is very important. This study explored the influences CASE professional development institutes had on the teacher-participant’s perceptions of science integration and inquiry-based instruction. This study utilized a pre and post-test comprised of the integrative science survey and the inquiry-based teaching techniques. We attempted a census of all (N = 38) high school agricultural educators who were participants in the Principles of Agricultural Science-Plant (ASP) and the Agricultural Power and Technology (APT) CASE institutes. Overall, respondents had more positive perceptions of science integration and IBI following the CASE institutes. Teacher educators should incorporate inquiry-based teaching techniques and examples of integrating science into preparation programs and offer professional development workshops to practicing teachers. Future research should take a deeper look into the impacts of CASE institutes on teachers’ attitudes towards science integration and implementation of IBI in their classrooms. A larger population of teachers needs to be studied with the study taking a longitudinal approach to focus on the long-term implementation of IBI in the agricultural education classroom.
Gender Competition in the Production of Nonbinary ‘They’
Authors: Arnold Jennifer E , Venkatesh Ranjani , Vig Zachary
Published: April 2024

Two experiments test how college students use nonbinary they to refer to a single and specific person whose pronouns are they/them, e.g., “Alex played basketball on the neighborhood court. At one point they made a basket,” compared to matched stories about characters with binary (she/her or he/him) pronouns. Experiment 1 shows that for both types of pronouns, people use pronouns more in a one-person than a two-person context. In both experiments, people produce nonbinary they at least as frequently as binary pronouns, suggesting that any difficulty does not result in pronoun avoidance in spoken language, even though it does in written language (Arnold et al., 2022). Nevertheless, there is evidence that nonbinary they is somewhat difficult, in that people made gender errors on about 9% of trials, and they used a more acoustically prominent and disfluent-sounding pronunciation for nonbinary pronouns than binary pronouns. However, exposure  to  they  in  the  context  of  the  experiment  had  no  effect  on  frequency,  accuracy,  or  pronunciation of pronouns. This provides the first evidence of how nonbinary they is used in a naturalistic storytelling context and shows that while it poses some minor difficulties, it can be used successfully in a supportive context. 