bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Evaluation of Hybrid Fibre Reinforced High Volume Fly Ash based Self Compacting Concrete
Authors: Yashawant Prabhakar Pawar, Chetan P. Pise  
Published: June 2023

Self-compacting concrete has become increasingly popular lately for usage in crowded concrete-reinforced buildings having challenging casting circumstances. New cement needs to have high fluidity and strong cohesion for these applications. The necessary concrete characteristics can be ensured through the use of fine elements like fly ash. The preliminary findings of a trial to produce and assess SCC created using large amounts of Fly ash is given and discussed. During this investigation, few SCC combinations and a control concrete is examined. The water/cementitious material ratio is ranges from 0.35 while cementitious material amount remained constant (300 kg/m3). Its self-compacting mixes replaced 25%,35%,37.5%,40%, and 50%, of the cement with fly ash. All mixes were put through tests to determine their viscosity and stability as fresh concrete. Additionally, the compressive strength, Flow Ability Test, Flexural strength and Split Tensile Strength of cured concretes were measured. For the purpose of testing the flow characteristics and mechanical properties of Hybrid Propylene Steel Fibre Self-Compacting Concrete (HPSscc), Steel Fibre in combination with Poly Propylene PP Fibre (Hybrid Fibre) are used to regulate SCC at concentrations of 0.25+0.15%, 0.50+0.30%, 0.75+0.45%, 1.0% + 0.60%, and 1.25+0.75%.The ideal quantity of hybrid fibre is established. The 28-day compressive strengths of the SCCs ranged from 35 to 54 MPa. It is important to research the effects of adding steel fibres to control SCC of various types, aspect ratios, and volume fractions. Concrete can benefit from having its tensile strength increased by using synthetic fibres like polypropylene PP. It is important to achieve the ideal quantity of PP fibres to be added for a specific characteristic of the mix's constituents. Hybrid fibre is used in concrete when more than one fibre is included. The performance of concrete can be improved by using the characteristics of one type of fibre with another type of fibre. Also Flow Ability Test carried out immediately after producing concrete earlier and Split Tensile Strength tests are conducted. The outcomes demonstrate that a cost-effective SCC might be successfully constructed by adding significant amounts(35%) of fly ash.
mSVM: An Approach for Customer Churn Prediction using modified Support Vector Machine and various Machine Learning Techniques
Authors: S Brinthakumari, Priyanka Dhiraj Sananse, Punam Bagul  
Published: June 2023

Consumer attrition is a major issue across the world companies and that is one of their primary worries. Organizations, specifically in the telecommunication sector, are working to build technologies to forecast future customer churn due to the obvious direct impact on profits. It's essential to define the variables that lead to customer churn before making the required efforts to minimize churn. An important impact was the creation of an attrition estimation method that aids telecommunication corporations in predicting which consumers are willing to churn. The methodology proposed in this study employs mathematical methodologies on a big data framework to provide a unique strategy to feature design and evaluation. This research work has proposed a customer churn prediction using a modified Support Vector Machine Learning (mSVM) classifier. The significant contribution of this research is that we have changed the distance function of SVM in both training and testing. Similar machine learning algorithms are also validated on similar datasets such as Naïve Bayes (NB), K-nearest Neighbor (KNN) and Decision Tree (DT) with J48 classifiers. The BigML dataset has been used for detecting churn in the telecom industry in a real-time scenario. In an extensive experimental analysis, we demonstrate mSVM which produces higher accuracy over the traditional machine learning algorithm for different cross-validation methods.
House Price Prediction Using Texture and Visual Features
Authors: Sweety G. Jachak, Sayantan Nath  
Published: June 2023

Real estate sector has been growing at a rate never seen before. For this sector, a key role is played by the pricing of the property. Gone are the days when the price of the property was based on whims and facies of the real estate dealers. Machine learning has numerous applications in the domain of real estate, and one of the most popular ones is predicting house prices. The application of machine learning in house price prediction involves training a model on a dataset that includes a variety of visual and texture features related to the property. The model is then used to predict the price of a new property based on its features.
This paper successfully explores machine learning based house price prediction. The methodology followed was to first use data sets to train the model. Later, using correlation-based hybrid GA-reinforcement strategy, a suitable set of features has been selected. In the end, these features are applied to a XG boost regressor to get results. The accuracies are compared with the cases of without feature selection of different regressors. This algorithm, if successfully deployed will be beneficial to both sellers and buyers, because it sets a data-based benchmarking for pricing the property.
Interpretable Deep Learning Models: Enhancing Transparency and Trustworthiness in Explainable AI
Authors: R. S. Deshpande, P. V. Ambatkar  
Published: June 2023

Explainable AI (XAI) aims to address the opacity of deep learning models, which can limit their adoption in critical decision-making applications. This paper presents a novel framework that integrates interpretable components and visualization techniques to enhance the transparency and trustworthiness of deep learning models. We propose a hybrid explanation method combining saliency maps, feature attribution, and local interpretable model-agnostic explanations (LIME) to provide comprehensive insights into the model's decision-making process.
Our experiments with convolutional neural networks (CNNs) and transformers demonstrate that our approach improves interpretability without compromising performance. User studies with domain experts indicate that our visualization dashboard facilitates better understanding and trust in AI systems. This research contributes to developing more transparent and trustworthy deep learning models, paving the way for broader adoption in sensitive applications where human users need to understand and trust AI decisions.
Generation of Regular Expression from Aligned Sequences of Text Snippets
Authors: Girishkumar K. Patnaik, Dinesh D. Puri, Akash D. Waghmare  
Published: June 2023

Introduction: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Vitae sapien pellentesque habitant morbi tristique senectus et netus. Dignissim cras tincidunt lobortis feugiat vivamus at augue eget arcu. At risus viverra adipiscing at in. Cras semper auctor neque vitae tempus quam. Sed cras ornare arcu dui. Turpis massa sed elementum tempus. Risus commodo viverra maecenas accumsan lacus vel facilisis volutpat est.
Objectives: Effective data management has become an absolute necessity in today's world as a direct result of the widespread adoption of electronic medical records for patients. For medicine and healthcare domains, particularly effective web healthcare providers, computer-assisted categorization of such information into functional classifications such as medical issues or illnesses may save time and efforts. However, a substantial volume of data in the healthcare domain is still unstructured.
Methods: The utilization of unstructured text datasets is a challenge in comparison with structured text datasets. Many researchers in various domains have proposed to convert unstructured text into structured text. The text needs to be built in a fixed and aligned pattern for easy comparison, matching, and classification. In the text classification process, accuracy is one of the challenges when text is unstructured. The text with a fixed pattern is easy to classify. The regular expressions are sequences of characters with fixed patterns of text. This strength of regular expression is used in the proposed text classification. Finding patterns in unstructured text is possible with the use of sequence alignment. Basically, sequence alignment is a concept of biomedical research, but the same concept is used to align text snippets that are not perfectly similar to each other.
Results: The sequence alignment technique detects the similarity score assigned to each potential alignment in order to choose among the numerous local alignments of sequences. The proposed local pairwise alignment method is used to get sequence alignments, which are useful to generate regular expressions.
Conclusions: A regular expression is a string of characters used to describe a text pattern. The regular expressions are typically created manually by the domain experts. The proposed work is the automatic generation of regular expressions from aligned sequences with a bottom up approach. The generated regular expressions are used as a dataset on which various machine learning algorithms are applied for text classification.
Automatic Detection of Covid-19 from Chest X-ray Images using Corona Net
Authors: D. L. Asha Rani, P. Anishiya, T. Pramananda Perumal  
Published: June 2023

The most devastating pandemic to ever infiltrate humans is COVID-19. An automatic detection system is an instantaneous diagnosis option to prevent COVID-19 transmission. The objective of this research work is to propose a novel CNN (Convolutional Neural Network) based Covid-19 detection system to classify the radiological (chest X-ray) images into binary classes (Covid-19 and Non-Covid-19) and three (multi) different classes ( Normal Lungs, Lungs infected by Covid-19 and Lungs infected by Pneumonia). The efficiency of the proposed CNN(CoronaNet) model is compared with six existing pre-trained models (AlexNet, GoogleNet, VGG-16, SqueezeNet, Inception-V3 and ResNet-50) for identifying Covid-19 from radiological images. The computer experimental results demonstrate that the proposed CoronaNet model has achieved an overall accuracy of 96.4% for binary-class classification (Covid-19 and Non-Covid-19) and 94.4 % for multi- class classification (Normal, Covid-19 and Pneumonia). The proposed technique could be a useful tool for radiologists to diagnose and treat Covid-19 patients promptly.
Policy Recommendations to Prevent Loss of Agricultural Lands and Livelihood of Agricultural Communities in Indian Growing Cities
Authors: Mahendra Joshi Ar. Swapnil Sheth, 
Published: June 2023

India is primarily an agriculture base country and undergoing tremendous development in the sectors of technology, industry and IT sectors. Cities are rapidly growing and undergoing rapid unstoppable urbanization. In 2011, India's urban population was 377 million, and it will be 600 million by 2031. India's rapid urbanization threatens arable land. Urbanization consumes 0.12 million hectares of agricultural land annually in India.. This paper aims to recommande changes in existing planning policies in India that are responsible for agricultural land loss and devastation of livelihood of agricultural communities in the process of urbanization. Planning policies are studied and compaired in detail for the developing cities of Pune and Bangalore with respect to regional plans and development plans of respective cities. The study reveals tremendous shift in planning policies over the period of time giving priority to development agenda for economic development of the region without giving deu consideration to preservation of farmlands that are coming under urbanization for all these growing cities. Many of the planning policies are common for all cities studied however few policies are seen to be in consideration to local conditions and political agenda. Study demand an immediate intervention towards planning weaknesses and change the few of the planning policies that can help preserving the farmlands that are coming under urbanization.
Various Feature Extraction and Selection Techniques for Lexicon Based and Machine learning Sentiment Classification
Authors: Girishkumar K. Patnaik Shital A. Patil, Krishnakant P. Adhiya, 
Published: June 2023

Introduction: Natural Language Processing (NLP) is a kind of software that gives computers the ability to comprehend human languages. Words are often used as the fundamental unit for grammatical and semantic analysis on a deeper level, and the major objective of most natural language processing (NLP) projects is word segmentation
Objectives: Proposed System uses the feature extraction method for generating the hybrid feature to get good accuracy for classification in order to solve the practical problem of huge structural differences between different data modalities in a multi-modal environment, where traditional machine learning methods cannot be directly applied to solve the problem.
Methods: In order to do so, this paper introduces the method for generating the hybrid feature. In this System, we utilise a various feature extraction and selection technique from large text. The data has collected from students’ feedback and these feature extraction techniques has applied
Results: Each technique provides different feature extraction while NLP based dependency features provides homogeneous feature set with relationship.
Conclusions: In extensive experimental analysis NLP based features obtains higher precision over the other feature extraction techniques in classification.
Union Of 4-Total Prime Cordial Graph G With The Bistar Bn,N
Authors: S. Pasunkili Pandian J. Maruthamani, 
Published: June 2023

Let G be a (p, q) graph. Let f : V (G) → {1, 2, . . . , k} be a map where k ∈ N is a variable and k > 1. For each edge uv, assign the label gcd(f (u), f (v)). The map f is called a k- Total prime cordial labeling of G if |tpf (i) − tpf (j)| ≤ 1, i, j ∈
{1, 2, · · · , k} where tpf (x) denotes the total number of vertices and the edges labelled with x. A graph with a k-total prime cordial labeling is called k-total prime cordial graph. In this paper we investigate the 4-total prime cordial labeling of G ∪ Bn,n, where G has a 4-total prime cordial labeling and Bn,n is a bistar.
Synthesis, Characterisation and Catalytic Studies of Ru (II) Carbonyl Complexes with Substituted Quinazoline Derivatives.
Authors: Virupaiah Gayathri Rita Bhattacharjee, 
Published: June 2023

Several ruthenium(II) carbonyl complexes, of the type [RuCl2(CO)2L]∙nH2O {n = 1, L = L1, L2, L4, [RuCl2(CO)2(L)(H2O)]∙nH2O {n = 1, L = L3, L5, were prepared where L is 6-R-5,6-dihydrobenzoimidazo[1,2-c]quinazoline (R-Diq; R = ethyl: L1/ n or i-propyl: L2, L3/ n or i-butyl: L4, L5. The techniques used to identify them included elemental analysis, conductivity tests, TGA, infrared, electronic, NMR, and mass spectrometry. For all of the complexes, an octahedral geometry around the Ruthenium ion with monomeric and dimeric stereochemistry was proposed. Investigation of the catalytic activity of the complexes towards the oxidation of hydroquinone, cyclohexanol, and benzyl alcohol was carried out.
Socio-Economical Status of Inter-State Migrant Workers in Tamil Nadu
Authors: S. Balraj, R. Sivakumar  
Published: June 2023

Migration is an integral part of human history. It is world -wide phenomenon that affects the place of origin and destination of migrants. Migration has been understood as temporary or permanent shifting of place of labour from one region to another region, from one country to another country in a particular period of time. Migration has a number of socio-economic, cultural, political and demographic impacts on the lives of the migrant workers. There are many types of migration prevailing in India and elsewhere in the recent past, the inter-state migration has been most prevalent in the most of the Indian states. It is worthwhile to note here, the Inter-state migration poses a variety of challenges to state, for instance the state and centre government unable to keep record of data on the movement of migrant labour from one state to another state(s) or government at central and state level facing difficulties to assess their socio-economic abilities. This paper will explore the reasons for such migration, identify the socio-economic status of inter-state migrant workers and trying to frame suitable policy to enhance the livelihood of the migrant workers.
ADAPTATION OF NURSING STUDENTS LIVING IN STUDENT DORMITORY
Authors: Dias Maria Frani Ayu Andari , Hatika Gita Permata , Maratning Anastasia 
Published: June 2023

Abstract
There are not many research results that discuss the adaptation of nursing students to their place of residence, namely in the dormitory. This initial research aims to explore the potential of conducting research on nursing students living in dormitories, including the potential for conducting research related to adaptation. This research was conducted descriptively by applying cross-sectional data collection. The data was then analyzed and presented in the form of frequency distribution tables and narratives. The results of the study indicate that study in a broader and more in-depth scope needs to be carried out to capture the unique and important conditions in the adaptation period of nursing students living in dormitories. The ability of students to adapt quickly and well to their place and environment will be an important capital in the process of forming them into skilled and agile nurses.

Abstrak
Tidak banyak catatan-catatan hasil penelitian yang membahas tentang adaptasi mahasiswa/I keperawatan di tempat tinggal mereka, yaitu di asrama. Penelitian awal ini bertujuan untuk menelusuri potensi pelaksanaan penelitian pada mahasiswa/I keperawatan yang tinggal di asrama, yang termasuk didalamnya adalah potensi untuk melakukan penelitian terkait adaptasi. Penelitian ini dilakukan secara desktiptif dengan menerapkan pengambilan data secara potong lintang. Data selanjutnya dianalisis dan disajikan dalam bentuk tabel distribusi frekuensi dan narasi. Hasil penelitian menunjukkan bahwa penelitian dalam cakupan yang lebih luas dan dalam perlu dilakukan untuk menangkap keadaan unik dan penting dalam masa-masa beradaptasi mahasiswa/I keperawatan yang tinggal di asrama. Kemampuan mahasiswa/I untuk beradaptasi dengan tempat dan lingkungannya dengan cepat dan baik akan menjadi modal penting dalam proses pembentukkannya sebagai seorang perawat yang terampil dan tangkas.
THE JOINT INFLUENCE OF INTERPERSONAL NEEDS AND PARENTING STYLE
ON THE INTRAPERSONAL CONFLICT OF ADOLESCENTS
Authors: GROM T. , ANDREYEVA I. 
Published: June 2023

The article deals with the problem of the joint influence of interpersonal needs and the style of parenting on
intrapersonal conflict in adolescence. In the course of the empirical study, models of the dependence of the indicator
of intrapersonal conflict on indicators of interpersonal needs were studied: inclusion, control, affect; and parenting style:
positive interest, directiveness, hostility, autonomy, inconsistency. And also, the most important indicators for assessing
the indicator of intrapersonal conflict were identified. It has been established that the hostility and inconsistency
of the parental style of upbringing have a joint positive effect on the intrapersonal conflict of adolescents. The joint
influence of other indicators of interpersonal needs and parental style of education has not been established.
THE RELATIONSHIP OF PESSIMISM AND ATTITUDES TO SEX AMONG STUDENTS
Authors: АSTAPCHUK S. , BUDNIK E. 
Published: June 2023

The article deals with the concepts of pessimism (as a style of explaining failures) and sexual attitudes. According
to the results of the study, most students are characterized by a pessimistic style. The relationship between attitudes
towards sex and pessimism is analyzed. The obtained results demonstrate the significance of the problem of distortion
of sexual attitudes among students in general.
ECOLOGY – CREATIVITY:
INNOVATIVE PATH OF YOUNG PEOPLE DEVELOPMENT
Authors: ONUPRIENKO S. 
Published: June 2023

In the presented article, for the first time in the practice of domestic and foreign scientific research, two
fundamental target settings were implemented:

- an attempt was made to systematically analyze the fundamental factors of the formation and functioning
of creative activity in the context of historical and modern trends in socio-ecological development;

- attention is paid to the concretization of theoretical and methodological approaches in line with the formation
of ecological and creative orientations of the individual, through the author's results of conducting specific sociological
surveys of young people in senior classes of secondary schools in Minsk.
The accrual and use of the excess savings built up by Spanish households since the onset of the pandemic
Authors: Alves Pana , Martínez-Carrascal Carmen 
Published: June 2023

Rationale
Households overall built up a large stock of excess savings during the pandemic. The use of these excess savings and the potential amount currently available for spending are relevant to understanding how they may support consumption over the coming quarters.
Takeaways
•To end-2022, households had barely used the excess savings accumulated during the pandemic for purchases of consumer goods and services. The bulk of these funds have been channelled towards financial investments, specifically deposits and investment funds.
•A more modest proportion of these savings – albeit one that has been increasing since 2021 – has been used to purchase non-financial assets (in particular, property) and to repay home loans.
•A large share of the excess savings accumulated during the health crisis is concentrated among higher-income households, to such an extent that households in the bottom income quintile barely increased their savings in this period.
PENERAPAN HAK PISTOLEE BAGI TERPIDANA KURUNGAN (STUDI KASUS LAPAS KELAS II A PANGKALPINANG)
Authors: Oktarika Ayu , Manik Jeanne Darc Noviayanti , Toni Toni 
Published: June 2023

ABSTRAK Pembinaan Narapidana atau sistem pemasyarakatan adalah suatu tatanan mengenai arah dan batas serta cara pembinaan Warga Binaan Pemasyarakatan berdasarkan Pancasila untuk meningkatkan kualitas Warga Binaan Pemasyarakatan agar menyadari kesalahan, memperbaiki diri sehingga dapat diterima kembali oleh masyarakat dan hidup wajar sebagai warga negara yang bertanggung jawab. Salah satu bentuk dari pembinaan narapidana adalah dengan memperhatikan dan memberikan hak-hak narapidana sesuai dengan ketentuan peraturan perundang-undangan yang berlaku. Hak Pistolee merupakan Hak yang dimiliki oleh setiap narapidana yang dijatuhi pidana kurungan. Hal ini telah diamanatkan dalam Undang-Undang No 12 Tahun 1995 Tentang Pemasyarakatan yang sekarang telah diubah menjadi Undang-Undang Nomor 23 Tahun 2022 Tentang Pemasyarakatan. Metode yang digunakan dalam penelitian ini adalah penelitian hukum yuridis empiris. Berdasarkan hasil penelitian di Lembaga Pemasyarakatan Kelas II A Pangkalpinang, penerapan Hak Pistolee belum pernah terlaksana. Berdasarkan hasil wawancara dan observasi yang dilakukan membuktikan bahwa Hak Pistolee masih sangat asing bagi para petugas. Narapidana yang berada di Lembaga Pemasyarakatan Kelas II A Pangkalpinang belum pernah mendapatkan sosisalisasi mengenai Hak Pistolee. Faktor yang menjadi penyebab tidak terlaksananya Hak Pistolee antara lain adalah faktor hukum, faktor sarana dan prasarana, faktor penegak hukum serta faktor masyarakat. Hak Pistolee dikhususkan untuk narapidana kurungan artinya Hak Pistolee hanya didapatkan oleh narapidana kurungan sementara narapidana penjara tidak boleh mendapatkan Hak Pistolee.Kata Kunci: Hak Pistolee, Pembinaan Narapidana, Pidana Kurungan.