bluuebunny/crossref_metadata_2025_split huggingface dataset:
A METHOD FOR CALCULATION OF MORSE POTENTIAL FOR FCC, BCC, HCP CRYSTALS APPLIED TO DEBYE-WALLER FACTOR AND EQUATION OF STATE
Authors: HUNG NGUYEN VAN 
Published: January 2024

Analytical expressions for the Morse potential parameters for fcc, bcc and hcp
crystals have been developed. They contain the energy of sublimation, the compressibility
and the lattice constant. Numerical results for Cu (fcc), W (bcc) and Zn (hcp) agree well
with the measured values. Debye-Waller factors in X-ray absorption fine structure (XAFS)
and equation of state computed using the obtained Morse potential parameters agree well
with the experimental results.
Characteristics and Educational Support Needs by Life Cycle of Learners with Borderline Intellectual Functioning: Focusing on Gyeonggi-do
Authors: P P , P P , P P , P P ,   The Korean Society of Special Education
Published: January 2024

In this study, we examined the perceptions of parties, parents, teachers, and experts regarding
characteristics and educational support needs by life cycle of learners with borderline intellectual
functioning, focusing on Gyeonggi-do. A total of 52 people were selected as research participants,
including 6 adolescents with borderline intellectual function, 6 young adults, 8 parents, 13 teachers,
and 19 relationship experts, and in-depth interviews were conducted. As a result of analyzing the
interview data through continuous comparative analysis, the interview results were divided into 16
superordinate categories and 38 categories centered on two main themes such as characteristics
and educational support needs of learners with borderline intellectual functioning. Regarding
subcategories, 82 contents were derived. Learners with borderline intellectual functioning who
participated in the study were experiencing difficulties in learning and social adaptation throughout
their entire life cycle, from preschool to adulthood, and related experts said that life cycle-specific
support at the national level was needed for these learners. Based on the research results,
implications on the direction of support for each life cycle were presented.
Latent Curriculum Experienced by people with Intellectual Disabilities in General High School
Authors: P P , P P ,   The Korean Society of Special Education
Published: January 2024

The purpose of this study is to examine the role of schools for positive latent curriculum
experiences by examining the latent curriculum experienced by people with intellectual disabilities
in general high schools. The participants in the study were six graduates and students from special
classes at general high schools, and a total of eight interviews were conducted using photovoices.
The collected data were analyzed according to a practical and comprehensive analysis procedure,
and five upper categories, 13 lower categories, and 53 semantic units were derived: ‘Integrated
classes like a cactus on the desert’, ‘Special classes I don’t want to leave’, ‘Precarious online class’,
‘Work Life Appreciating What We Learned in School’, ‘My dream school’. As a result of the study,
the latent curriculum experienced by people with intellectual disabilities showed differences
depending on the learning space, and the latent curriculum they experienced had an impact on
their professional lives after graduation. Additionally, it was found that people with intellectual
disabilities want schools to be positive spaces. Based on the research results, the direction of
improvement for a positive latent curriculum experience was discussed.
Traffic Flow Prediction Using An Improved Fuzzy Convolutional LSTM Algorithm
Authors: Et. al. Mrs.B.Karthika, 
Published: January 2024

Intelligent transportation systems (ITS), is producing large amounts of data. The generated data is used for designing smart transportation systems. These raw data must be converted to valuable information for transportation planning and management. Deep learning algorithms have a variety of applications. In this paper, an improved fuzzy convolutional approach is proposed. The proposed model is designed to learn traffic flow features layer by layer through a supervised learning, non-parametric algorithm. The traffic information has been captured from UCI machine learning repository and experimented with a proposed algorithm to capture traffic flow information.The proposed algorithm is evaluated against prediction metrics such as root mean square error (RMSE), mean square error (MSE), and mean absolute error (MAE).The proposed method stands out other existing algorithms and has superior performance in traffic flow forecasting.
Tasheel Pedagogy of Topsy-Turvy Lexicons
Authors: Et. al. Ms.B.Kamala, 
Published: January 2024

Dyslexia is a learning disorder that involves difficulty in reading due to problems identifying speech sounds and learning how they relate to letters and words (decoding). It is identified that 5% to 17% of the world population are dyslexics. They tend to possess serious problems like identifying speech sounds and learning how they relate to letters and words, processing graphic symbols. They find it hard to spell correctly, read and write fluently compared to other children of their age. To overcome the stumbling blocks in learning for dyslexics, we develop a web application, that concentrates on helping dyslexic children to learn, read and write alphabets. This paper briefs upon employing cumulative and adaptive techniques for learning and evaluate the dyslexic students based on 3 criterions namely- visual, phonology and memory. The three modules are as follows- (i) Catapult (ii) Unleash ravel
(iii) Cumulative digest. Within the Catapult module, the child is taught to read and write an alphabet by a video. It are often played until the child is confident. Next within the Unleash ravel module, three tests are conducted to instill various micro-skills. Firstly, the child is asked to write down the alphabet that's instructed on a piece of paper. It's captured and evaluated using OCR. Secondly, the kid is asked to spell the alphabet that is displayed on the screen and record it. Eventually, the child is asked to sequentially identify the alphabet in question from a paragraph. It's done to enhance the visual tracking, visual discrimination skills of the child . When the child moves to further chapters, the previous lessons are cumulatively added to the Unleash ravel to enhance memory. The Cumulative Digest gives the report of the child’s performance in three categories analyzing the micro-skills using machine learning. They are Visual, Phonology and Memory. A threshold is set for each test and if the kid score below the edge then tests are made to be adaptive in order that the child faces more exercises within the part he/she is under performing at. Thus, the TPTL application helps dyslexics to learn, test and analyze their skills which will improve their letter recognition, visual tracking, visual discrimination, visual memory, auditory memory and auditory discrimination.
Medical Image Segmentation Of Wbc Using Improved Dual Threshold Method
Authors: Et. al. Mrs.M. Anline Rejula, 
Published: January 2024

segmentation of medical images is a critical method for the proper identification and diagnosis of diseases. Because of the distinction between them, the segmentation of the WBCs is an important issue.The automatic diagnosis of multiple white blood cell or leukocyte disorders plays a significant role. The suggested work is an Improved Dual-Threshold approach based on a variation of white blood cell (WBC) segmentation of different color spaces. The improved dual-threshold segmentation method consists of three stages: the pre-processing stage, the segmentation step of the threshold, and the post-procurement phase. For additional handling, two images are obtained: one is a contrast-stretched grey image and the other is an H part image from the altered colour space of YCbCr in the pre-processing step. The three main steps comprising the threshold segmentation are context separation, red blood cell extraction, and the finest threshold selection.The single-threshold method in RGB colour space is involved in the process of separation of Red Blood Cells (RBC), the H channel image is used in the step of background extraction. The Golden Section search method is used for the best threshold selection item. Finally, to eliminate the noise and the unfinished
WBCs, median filtering and arithmetical morphology are used in the post-processing stage. The image data collection for Acute Lymphoblastic Leukaemia (ALL) is used to test and segment irregular cells from test data using an overall accuracy. Compared to the current segmentation outcome, the implemented segmentation approach shows better precision performance.
Educational Challenges Of Transgender
Authors: Et. al. M. Gnana Kamali, 
Published: January 2024

The right to choose one’s gender identity is an essential part to lead a life with dignity which again falls under the ambit of Article 21. Transgender persons are deprived of social and cultural participation and hence they have restricted access to education, health care and public places which further deprives them of the Constitutional guarantee of equality before law and equal protection of laws. It has also been noticed that the community also faces discrimination as they are not given the right to contest election, right to vote (Article 326), employment, to get licenses, etc. and in effect, they are treated as outcast and untouchable. Section-21 makes provision that all Government institutions of primary, secondary and higher education and all primary, secondary and higher education institutions receiving aid from the Government shall reserve two percent of the total seats in each class or course for transgender persons
Consumer behaviour in the bottom level of Pyramid markets with reference to Urban segments
Authors: Et. al. Mr. Prabhakara Murthy. M, 
Published: January 2024

The ‘bottom of the pyramid’ approach, by C. K Prahalad, proposed that ‘marketing to the poor in increasing countries is the best way to instantaneously progress emergent economies and business profits’ (Prahalad, 2004). Firms are ideally well positioned to seek the fortune at the bottom of the pyramid due to their compensations in both scale and scope. As recent research in this area argues, the rural bottom of the pyramid (BOP) is dispersed, distant, extremely poor, heterogeneous and mostly illiterate. Operating in this segment is also physically, economically, and politically risky. A more realistic and sustainable alternative is to target the urban BOP. Although research in this area is relatively new, most of the work done is towards the supply side of the problem. The research done so far has largely remained silent on the demand or the consumption side of the BOP. The thesis elaborately explores the consumer or demand side of the Bottom of the Pyramid concept specifically focusing on the urban BOP. This importance of this study is twofold; firstly, it takes a more realistic approach towards the BOP by eliminating the dynamic barriers of the rural BOP. This will encourage broader business engagement. Secondly, this is one of the first few empirical studies that has been conducted with the motivation to understand the consumer behaviour of the urban BOP market especially with an Indian context.
Identity is a Fragmentary System
Authors: Et. al. Nour Majid Ibrahim Hammad, 
Published: January 2024

Identity is one of the most important concepts dealt with in most recent studies, because it expresses the existence and belonging of the individual, and it is an integral part of his being, which he derives from the society to which he belongs. Identity is subjected to some difficulties and problems such as its fragmentation and tearing, and behind that stands several circumstances that led it to These conflicts, therefore, were the focus of attention of modern studies, and the novel has the largest share in this aspect in order to understand its importance, especially if it is related to the Arab identity based on Arabism, Islam and authenticity represented by customs, traditions, customs ... etc.
The value of identity is evident in cultural studies that search for the texts of the text, uncover what is silent about it and what the discourse encircles in terms of the consistency of the context, and shed light on those cultural systems that have become fragmented in that identity and led to its fragmentation and tearing. For researchers and scholars to investigate its importance and its role in relying on the status of that identity and its specificity, and after that we stood on the procedural mulch to search for those cultural systems that have subsided behind the narrative texts in a way that is difficult to detect except through in-depth cultural reading.
System Characteristics and Behavioural Intention to Use E-Learning
Authors: Et. al. Alaa S. Jameel, 
Published: January 2024

Amid the COVID-19 pandemic, most universities worldwide are forced to shift to distance learning and online learning. The purpose of this study is to examine the impact of information quality (IQ), system quality (SYQ) and service quality (SEQ) on perceived ease of use (PEOU) and perceived usability (PU), the impact of PEOU on PU, and the impact of PEOU and PU on behavioural intention to use e-learning. Questionnaires were distributed to the undergraduate students of Cihan University Erbil, and 238 valid questioners were returned. The results indicated the system characteristics, namely SYQ and IQ, significantly impacted PU. In contrast, SYQ and IQ had an insignificant effect on BI to use e-learning. Besides, SEQ had a significant impact on PEOU and an insignificant impact on PU. Additionally, PEOU significantly impacted PU, while PEOU and PU significantly impacted BI to use e-learning. The current research has shown that the intention of implementing an e-learning system for university students is to investigate the student’s intentions and objectives.
Loan as a backbone for Agriculture: Evidence from Banks
Authors: Et. al. Abhishek.T, 
Published: January 2024

The role of Agricultural financing is critical, as are the instruments utilized in agricultural production. The stress relatedto the main structural structure for agricultural-based loans was placed on the roots of understanding the significant importance of agricultural loans to sustain the core roots of agriculture production even after the start of the expected economic growth cycle in India. This paper intends to identify and discusses the scenarios of past and wishes of Indian farm finance area, origins and scale of farm-finance, and reviews the expansion of farming finance. The paper is concentrated on secondary information gathered from various sources and analyzed using descriptive statistical methods (if applicable). Farmers would always in of needing capital for both agricultural needs pertaining to productivity and unproductive use. Farmers need money. Centralized and non-institutional financing sources are the key sources of finance in agriculture. In recent years, the percentage share of agriculture financed backed by non-institutionalized platforms like traditional money lenders fell drastically at a point rate from 90,9% to 20,9%. For scheduled commercial banks with CGR 32.05, the very best lending rate was 32.05, while for co-operatives with CGR short-term loans rock bottom was 13,57%. For long-term loans, for Planned Commercial Banks with CGR 22,74 the typical outstanding debt was 22,74, while for Co-operatives it had been 2.81% CGR rock bottom . The percentile share of agricultural credits slowly increased in time within the agricultural GDP after the 1950s than as a part of GDP as entire until the 1980s. Advice for lenders on the interior formalities of monetary institutions should improve access to institutional loans further. Microfinance and Kisan Credit Cards (KCC) should be adopted and simplified so as to alleviate the suffering of low, poor, and simply linked tribal farmers within the Self Help Group (SHG).
A Study on Risk and Return Analysis of Selected Banking Securities
Authors: Et. al. Mehta Vani Joghee, 
Published: January 2024

In each country the banking system plays a prominent role in the development of its economy, and Indian banking sector is not exceptional. Indian financial sector is the backbone of the country’s economy development, the banking sector plays a key role in empowerment of all areas. In the capital market, the equity market plays a huge role. And it’s volatile in nature too.
Banking sector equity market has volatility and less returns on investment in some of the banks and some of the banks have more volatility in investment also. The investors identify the minimum risk and maximum return on investment decisions through portfolio analysis. Hence, understanding the risk involved in the investment helps to maximize returns. This study helps investors to understand from the Previous Behaviour Of Selected data., to make the best decision through market volatility, the primary objective of this study is to analyse the risk and return of selected banking securities.
Brain Tumor Detection using Convolutional Neural Network
Authors: Et. al. Poornimasre Jegannathan, 
Published: January 2024

Brain tumor is the main threat among the people. But currently, it become more advanced because of the many Machine Learning techniques. Magnetic Resonance Imaging is the greatest technique among all the image processing techniques which scans the human body and gives a clear resolution of the tumors in an improved quality image. The fundamentals of MRI are to develop images based on magnetic field and radio waves of the anatomy of the body. The major area of segmentation of images is medical image processing. Better results are provided by MRI images than CT scan, X-rays etc. Nowadays the automatic tumor detection in large spatial and structural variability. Recently Convolutional Neural Network plays an important role in medical field and computer vision. One of its application is the identification of brain tumor. Here, the pre-processing technique is used to convert normal images to grayscale values because it contains equal intensity but in MRI, RGB content is included. Then filtering is used to remove the unwanted noises using median and high pass filter for better quality of images. The deeper architecture design in CNN is performed using small kernels. Finally, the effect of using this network for segmentation of tumor from MRI images is evaluated with better results.
Do the Executive Characters and Leverage can affect Tax Avoidance?: Evidence from Indonesia Mining and Coal Listed Companies
Authors: Et. al. Eriana Kartadjumena, 
Published: January 2024

This study aims to determine whether the executive characters and leverage can affect tax avoidance in Indonesia Mining and Coal Listed Companies. The factors tested in this study were the executive character and leverage with the proxies corporate risk and debt to equity, respectively, as independent variables. Meanwhile, tax avoidance is proxied by cash effective tax rate as the dependent variable.The research data are taken from 112 financial statements of 28 Indonesian Mining and Coal Companies that listed on the Indonesia Stock Exchange in the period 2016 - 2019. The data are analyzed by using panel data regression analysis.The research results show that that executive characteristic has significant positive effect on tax avoidance. In constrast, the leverage has not effect on tax avoidance.
Determination Of Distribution Center Location In Xyz Small And Medium Enterprise (Sme) Using Center Of Gravity Method
Authors: Et. al. Riki Ridwan Margana, 
Published: January 2024

XYZ Small Medium Enterprise (SME) is an SME that produces hijab. Research activities on XYZ aims to determine the operational cost of XYZ, caused by the far distance between the production site with retails. The analytical method which we use is by using the Center of Gravity. From the results of using the Center of Gravity method, the location of the new warehouse can be determined with the coordinates X = -7.51, Y = 110.45, which is located in Dusun II, Lencoh, Selo, Boyolali Regency, Central Java, XYZ can save distribution operational cost from IDR 22,711,150 to IDR 12,712,400. Therefore, XYZ can save distribution operational costs of IDR 9,998,750 or with a percentage of 55.97%. With the new distribution center location, it will shorten the distance from 1446 km to 264.6 km and reduce the transportation cost from the production site in Cicalengka, Bandung to the distribution center located in Dusun II, Lencoh, Selo, Boyolali Regency, Central Java.
A Systematic Study And Approach On Detection Of Classification Of Skin Cancer Using Back Propagated Artificial Neural Networks
Authors: Et. al. Nyemeesha V, 
Published: January 2024

Skin cancer is the leading type of cancer that causes millions of deaths of human beings. Early identification and appropriate medications for new harmful skin malignancy cases are fundamental to guarantee a low death rate as the survival rate. Most of the related works are focusing on machine learning-based algorithms, but they provide the maximum accuracy and specificity. In the preprocessing stage, sharpening filter and smoothening filters are used to remove the noise along with enhancement operations. Then segmentation is used for efficient detection of the region of skin cancer. Finally, to achieve the maximum accuracy for classification back-propagated based artificial neural network (BP-ANN) developed for the classification of skin cancer with the spatially gray level dependency matrix (SGLD) features. The suggested research work can be effectively used for the classification of Benign and Melanoma skin cancers.
Horizontal and Vertical Ground-Motion Duration Prediction Models from Interplate and Intermediate-Depth Intraslab Earthquakes in Mexico City
Authors: Jaimes Miguel A. , García-Soto Adrián D. , Candia Gabriel 
Published: January 2024

ABSTRACT
In this study, we present predictive models for significant ground-motion duration from interplate and intermediate-depth intraslab earthquakes at Mexico City for the horizontal components, the vertical component, and the vertical-to-horizontal ratio case. The considered sites are located over several zones in Mexico City, from rock to soft-soil sites. For the ground-motion duration models, the significant durations for ranges between 5% and 75%, 5% and 95%, and 2.5% and 97.5% of Arias intensity are considered for the analyses. The equations were developed as functions of magnitude, distance of the earthquake, and site period using 16 and 23 event recordings from interplate and intermediate-depth intraslab earthquakes at the hill, transition, and lakebed zones of the city using mixed-effect regression analyses. For the intraslab events, in particular, the new database includes recordings from two significant normal-faulting events that occurred in 2017. The models lead to differences with respect to the previous models. Therefore, predictive models for both considered focal mechanisms are proposed. The model is valid for interplate events at distances from 280 to 500 km and magnitude Mw from 6 to 8.1, for intraslab events at distances of 100 km up to about 650 km, magnitude Mw from 5 to 8.2, and focal depths from 40 km to over 120 km.