bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatio- Temporal Tecnology Analysis for Urban Land Use Growth in the Case of Mekelle City, Tigray, Northern Ethiopia
Authors: Hagos Fikre , Zenebe Gebreyohanns , Kahsay Yemane , Hagos fikre 
Published: September 2023

Abstract
This study aims was to assess the urban land use growth in city using Geo special Technology data, (three satellite images 2006, 2012, and 2018) to determine the extent of urban Land use analysis. After image pre-processing, to classify the images into four land use classes using Maximum Likelihood supervised classification technique. The ground truths found from field survey also used for image classification and to evaluate the accuracy assessment. Accordingly, the overall accuracy was calculated (88.5%). The outcomes of images classifies was in period 2006–2018 the total area was covers 32160.72ha. Those areas have four Land use Classes there were, bare lands 5977ha (18.52%), 5573ha (17.33%), and 5342ha (16.61%). In receptively year (2006, 2012 and 2018), urban Land use classes was 5183.45ha (16.12%), 5952ha (18.50%) and 6789.72ha (21.11%) in year (2006, 2012 and 2018), Vegetation covers 20165.35ha (62.70%), 19873ha (61.79%) and 19389.72ha (60.29%) (2006, 2012 and 2018) and water body coverage 854.92ha (2.66%), 762.72ha (2.37%) and 639.5ha (1.99%) (2006, 2012 and 2018) respectively. Due to the urban Land use process was in 2006, 5186.45ha, in 2012 increased to 5952ha and in 2018 the urban Land Use coverages 837.72ha to rapidly growth from the total area of 32160.72ha. Finally, 2006 to 2018 year the area was covered 1606.27ha.
The Riemann problem for the generalized Chaplygin gas with a potential
Authors: Kumozec Davor , Nedeljkov Marko 
Published: September 2023

Abstract

The paper contains a solution to the Riemann problem for the generalized Chaplygin gas with a general source term defined by the Cargo-LeRoux potential. Beside the classical waves (rarefaction waves, shocks, and contact discontinuities) we have used the shadow waves coupled with the rarefaction ones to completely solve the above problem.
Mathematics Subject Classification (2010). 35L65, 35L67, 35Q35.
Peanut Shell Carbon Nanocellulose Preparation, Analysis and Plausible Role in Regenerative Medicine Using Mesenchymal Stem Cell Line C3H10t1/2
Authors: Priya Kannu , Bhatia Yeshika , Rai Seemha , Mahajan Nidhi 
Published: September 2023

Abstract
Peanut Shell is a major agro industry waste. Cellulose, the most abundant crystalline component of naturally porous peanut shell biomass. Nanomaterial science has actively used peanut shell as a source of nanocellulose. However, there are few reports on the biocompatibility of cellulose nanocrystal based nanocomposites from agro on mesenchymal cell lines. To evaluate how mesenchymal stem cells behave onto this scaffold in vitro, cellulose nanocrystals (CNCs) made from peanut shells were combined with polyvinyl alcohol (PVA) to create tissue engineering scaffolds. SEM images illustrated that for PVA/CNC nanocomposites and clean PVA respectively, increasing the CNC concentration was accompanied with pore size enlargement. The nanocomposite's three-dimensional porous structure conveyed uneven and intertwined pore structures in additionto the pore distribution. The highest relative crystallinity was observed at 10 wt% of CNCs, according to X-ray diffraction, which also showed that the relative crystallinity of the PVA with 0 and 5 wt% of CNCs was lower than that of neat PVA. In order to confirm the modifications in chemical functional groups, Fourier transform infrared spectroscopy was utilized. The non-cytotoxicity of PVA/CNC_10% was measured for cell viability during an in vitro cytotoxicity test. Additionally, the acquired PVA/biocompatibility CNC's with the Murine Mesenchymal cell line (C 3H 10T 1/2) demonstrated good cell spreading and adherence to the material surfaces. These results suggest that future research into the in vitro integration of mesenchymal cells with a PVA/CNC scaffold can prove to be a promising candidate for regenerative purposes.
Arbitrary Style Transfer Method With Attentional Feature Distribution Matching
Authors: Ge Bin , Hu Zhen Shan , Xia Chen Xin , Guan Jun Ming 
Published: September 2023

Abstract
Most arbitrary style transfer methods only consider transferring of the features of the style image and the content image. Although the pixel-wise style transfer is achieved. It is limited to preserve the content structure, the model tends to transfer the style features, the loss of image’s information occur during transfer process. The model incline to transfer the style features and preservation of the content structure is weak. The generated pictures will produce artifacts and patterns of style pictures. In this paper, an attention feature distribution matching method for arbitrary style transfer is proposed. In network architecture, a combination of self-attention mechanism and second-order statistics is used to perform style transfer and the style strengthen block (SSB) enhances the style features of generated images. In loss function, traditional content loss is not used, we integrate the attention mechanism and feature distribution matching to construct loss function. The constraints are strengthened to avoid artifacts in generated image. Qualitative and quantitative experiments demonstrate effectiveness of our method compared with state-of-the-art arbitrary style transfer in improving arbitrary style transfer quality.
Factors Affecting Cancer Screening Perception in Turkish Women: The Role of Health Literacy
Authors: Kıran Şafak , Sevim Ferit , Ürek Duygu , Şenol Osman 
Published: September 2023

Abstract

Purpose: It is suggested that individuals with limited health literacy have less awareness about cancer and screening methods. However, there is a paucity of evidence regarding the relationship between cancer screening perception and health literacy levels among women. This study investigates the determinants of cancer screening perceptions in Turkish women, with a particular emphasis on the influence of health literacy.
Method: Employing a cross-sectional design, the study involved 428 women aged 18-69. Data were collected via online questionnaires. Hierarchical regression analysis was utilized to assess the effects of distinct variables on cancer screening perceptions. Exploratory and confirmatory factor analyses were employed to validate and ensure reliability.
Results: The results indicated that the constructed hierarchical regression model explicated around 10% of the variance in cancer screening perceptions. Among the various factors examined, health literacy emerged as the most potent predictor of screening perceptions. Individuals possessing higher health literacy demonstrated more favorable attitudes toward cancer screening. Additionally, age surfaced as another notable determinant, with advanced age correlating positively with awareness and receptiveness to screening.
Conclusions: This research reveals the pivotal role of health literacy in shaping how Turkish women perceive cancer screening. While a few factors have an impact, the study highlights the urgent need to elevate health literacy levels to foster heightened awareness and engagement in cancer screening programs. The study's findings offer valuable guidance for devising targeted interventions to address disparities in cancer screening perception and participation, particularly among women in low- to middle-income countries such as Turkey.
Water access and sanitation facilities in the Johor River Basin, Malaysia: A comparison between indigenous and more modernised communities
Authors: Goodson Michaela L. , Kwa Yee Chu , Suboh Norlilawati , Ik Sing Cindy Lee , Shuen Wei Dominic Kay , Walsh Claire L. 
Published: September 2023

Abstract
Water access, sanitation and hygiene (WASH) data for Malaysia suggest that almost 100% of the population have access to basic sanitation and basic drinking water, but this data may not include marginalised communities and stateless individuals, indigenous or otherwise. The aim of this study was to evaluate WASH provision for residents of the Johor River Basin and evaluate the disparity in facilities between indigenous Orang Asli and more modernised communities. Questionnaires were distributed to eight communities. In total, 899 questionnaires were completed including 100 from indigenous communities and 799 from more modernised communities. Significant differences existed between communities with regard to education levels (p &lt; 0.001), occupation (p &lt; 0.001), household income (p &lt; 0.001), type of toilet, sewage and sanitation facilities (p &lt; 0.001) and perception of health risks and concerns (p &lt; 0.001). There is a significant difference in access to water and sanitation facilities between indigenous and modernised communities. Further study is now required to understand behaviours and educate river-based communities on relevant potential health risks from water contamination in the Johor River Basin.
Heat transfer and thermodynamic analysis of synthesis gas production processes in chemical reactors with integrated heat exchangers by steam reforming
Authors: Brown Christopher , Chen Junjie 
Published: September 2023

Heat transfer and thermodynamic analysis are performed using
computational fluid dynamics and chemical kinetics to investigate the
synthesis gas production processes in chemical reactors with integrated
heat exchangers by steam reforming. The change of thermal energy in the
reactor is fully described in order to analyze the influences of fluid
velocity, solid thermal properties, and flow arrangement on the thermal
behavior of the reactor. The evolution of energy is discussed in terms
of reaction heat flux, and thermodynamic analysis of the oxidation and
reforming processes is performed in terms of enthalpy changes. The
results indicate that while the net sensible enthalpy change is always
positive in the reactor, the net enthalpy change for the endothermic and
exothermic reactions is positive and negative, respectively. The wall
thermal conductivity plays a significant role in determining the
efficiency and operation of the autothermal system. The parallel flow
design is advantageous for purposes of avoiding localized hot spots and
enhancing heat transfer. The change in enthalpy is vital to the
endothermic and exothermic reactions. The thermal behavior of the
reactor system depends upon the thermal properties of the walls. The
change in flow arrangement significantly affects the reaction heat flux
in the reactor. The endothermic reforming reaction can proceed
efficiently and rapidly if the wall thermal conductivity is high. The
reaction heat flux for the endothermic and exothermic processes is
negative and positive, respectively. The wall heat conduction effect
accompanying temperature changes is of great importance to the
autothermal design and self-sustaining operation of the reactor.
Keywords: Hydrogen; Steam; Carbon; Methanol; Air; Copper
The Influence of Turnover among Other Top Executives on Financial Reporting Risk
Authors: Bills Kenneth L. , Harding Michelle K. , Seidel Timothy A. , Truelson J. Mike 
Published: September 2023

SUMMARY
We explore the impact of turnover within top executive teams, with particular emphasis on executives other than the CEO and chief financial officer (CFO), on auditors’ perceptions of financial reporting risk. Consistent with upper echelon theory, we find that non-CEO/non-CFO executive team turnover increases perceptions of financial reporting risk even with continuity of the CEO and CFO. Additionally, we find that the effect of CEO and CFO turnover on perceptions of risk is primarily driven by concurrent turnover with other top executive team members. Further, the effect of other top executive turnover is more pronounced among firms that had higher-ability managers and that face greater constraints in replacing top talent. This effect is partially mitigated when the firm has an effective financial reporting environment and when the CEO who remains in place has greater operational involvement. These findings highlight the importance of other top executive turnover in risk assessments.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: G30; M12; M41; M42.
Adakah Perbedaan Faktor yang Mempengaruhi Tingkat Pengendalian Korupsi antara Negara Maju, Menengah dan Miskin?
Authors: Prasetyo Trijoko , Marselina Marselina 
Published: September 2023

The purpose of this study was to examine the effect of good government as measured by the level of democracy, the effectiveness of government and the quality of regulations on controlling corruption in high, midle and low income countries. Samples were high, midle and low income countries represented all continents in the world for 5 years. Research found that the level of democracy, government effectiveness and regulatory quality had a significant effect on the control of corruption, but the level of prosperity/economy income positively correlates with democracy, government effectiveness and regulatory quality so that countries with better income show higher variable levels both at the level of corruption control, the level of democracy, government effectiveness and the quality of regulation. Control of corruption in the High income countries just variable quality reguation is significant. In middle income countries level of democracy and government effectiveness that significant, and the low countries just only democracy that significant. These findings can be a policy in improving control of corruption depending ocountries income so that the policy can be more effective
IMPLEMENTASI USE CASE DIAGRAM DAN ACTIVITY DIAGRAM DALAM PERANCANGAN APLIKASI KALKULATOR PAJAK BAGI UMKM
Authors: Pebriadi Muhammad Syahid , Salman Putriana , Fattah Tino Kemal 
Published: September 2023

Abstrak Usaha Mikro, Kecil, dan Menengah (UMKM) mempunyai kewajiban untuk membayar pajak setiap tahunnya. Namun, masih ada kendala terkait pencatatan dan pelaporan pajak. Oleh karena itu diperlukan bantuan teknologi seperti aplikasi kalkulator pajak. Metode penelitian mengikuti model pengembangan perangkat lunak Waterfall meliputi Analisa sistem, desain sistem, pengkodean, pengujian black box dan pemeliharaan. Hasil penelitian berupa aplikasi kalkulator pajak yang dirancang menggunakan bantuan use case diagram dan activity diagram. Abstract Micro, Small, and Medium Enterprises (MSMEs) have the obligation to pay taxes every year. However, there are still obstacles related to tax recording and reporting. Therefore it requires the help of technology such as the application of a tax calculator. Research methods following the Waterfall software development life cycle include System analysis, system design, coding, black box testing and maintenance. The results of the study are in the form of a tax calculator application designed using the help of use case diagrams and activity diagrams.
KOORDINASI PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) BERBASIS ALGORITMA MULTIPLE SEQUENCE ALIGNMENT (MSA)
Authors: Irawan Denny 
Published: September 2023

Abstrak Pembangkit Listrik Tenaga Surya (PLTS) dapat tersusun dari banyak panel surya dan terhubung dengan banyak beban pada outputnya. Kehandalan suatu sistem tenaga listrik adalah terjaminnya suplai tenaga listrik yang selalu dapat memenuhi beban (kontinyuitas) dan kualitas tenaga listrik yang dihasilkan (tegangan dan frekuensi). Jurnal ini berisi tentang koordinasi Sistem Tenaga Listrik dengan PLTS sebagai sumber energinya yang terpantau arus (I) dan tegangan (V) sehingga dapat ditentukan daya keluaran dari panel surya dan melakukan pengaturan beban pada outputnya (adaptif), sehingga ketika daya input maksimum, maka semua beban yang sudah ditentukan berdasarkan prioritasnya dapat masuk kedalam sistem, dan ketika daya turun misalkan karena alam ketika cuaca mendung, maka controller akan melakukan load shedding atau pemutusan beban, dimana beban yang harus lepas terlebih dahulu adalah yang mempunyai prioritas rendah. Kebaruan dari penelitian ini adalah bahwa sistem yang dibangun berbasis algoritma Multiple Sequence Alignment (MSA) yang digunakan jika ada beban yang lepas tetapi tidak sesuai dengan urutan prioritasnya, sehingga algoritma tersebut dapat menentukan keputusan urutan prioritas yang sesuai dan bekerja secara otomatis untuk menjamin kontinyuitas dan kualitas tenaga listrik yang dihasilkan. Abstrak Pembangkit Listrik Tenaga Surya (PLTS) dapat tersusun dari banyak panel surya dan terhubung dengan banyak beban pada outputnya. Kehandalan suatu sistem tenaga listrik adalah terjaminnya suplai tenaga listrik yang selalu dapat memenuhi beban (kontinyuitas) dan kualitas tenaga listrik yang dihasilkan (tegangan dan frekuensi). Jurnal ini berisi tentang koordinasi Sistem Tenaga Listrik dengan PLTS sebagai sumber energinya yang terpantau arus (I) dan tegangan (V) sehingga dapat ditentukan daya keluaran dari panel surya dan melakukan pengaturan beban pada outputnya (adaptif), sehingga ketika daya input maksimum, maka semua beban yang sudah ditentukan berdasarkan prioritasnya dapat masuk kedalam sistem, dan ketika daya turun misalkan karena alam ketika cuaca mendung, maka controller akan melakukan load shedding atau pemutusan beban, dimana beban yang harus lepas terlebih dahulu adalah yang mempunyai prioritas rendah. Kebaruan dari penelitian ini adalah bahwa sistem yang dibangun berbasis algoritma Multiple Sequence Alignment (MSA) yang digunakan jika ada beban yang lepas tetapi tidak sesuai dengan urutan prioritasnya, sehingga algoritma tersebut dapat menentukan keputusan urutan prioritas yang sesuai dan bekerja secara otomatis untuk menjamin kontinyuitas dan kualitas tenaga listrik yang dihasilkan.
Research on big data audit based on financial shared service model
Authors: Yan Xiaoyun 
Published: September 2023

Abstract
Financial sharing platform provides data support for big data auditing. This paper first describes the financial shared service model and big data auditing and then focuses on the application of big data visualization technology in auditing based on the application principle of big data technology in auditing. Secondly, a visualization method based on a deep confidence network to extract data features is proposed. The DBN network is trained on audit data, the DBN method is used to extract data feature values, and the feature results are presented after dimensionality reduction processing. Finally, the implementation process of big data audit based on the financial shared service model is determined. The audit analysis of SOE B is performed by using the visual analysis technology of big data. The audit results are as follows: The proportion of state-owned enterprise B’s construction project business to the current year’s revenue increases slightly year by year, decreases significantly in 2019, and resumes rapid growth in 2021. The annual net profit increased by 153.17% compared with the previous year’s net profit.
Analysis of the fusion development of traditional music elements and sports dance based on Markov chain prediction model
Authors: Zhao Xia 
Published: September 2023

Abstract
In this paper, a gray GM(1,1) model is used for modeling to realize the construction of differential equations and clustering of prediction errors into different state sets. Then the state transfer matrix is established based on the Markov chain, and the targeted prediction and correction are realized for the interval in which the relative values of the GM(1,1) model are located. For the sequence of random variables, the validity of the method is verified by using the “Marginality” test, and the prediction accuracy of the model is verified by using the residual, posterior difference and correlation tests for the gray prediction model. Finally, a Markov chain-based matching prediction method for traditional music and sports dance is proposed, the overall integration degree is measured, and its prediction matching and integration effects are analyzed. The overall integration degree of sports dance and traditional music was generally between 5.4-8, and the intensity matching coefficient of the common matching method was 100-120, while the intensity matching coefficient of the prediction method using the Markov chain model was 140-160. The actual effect of music-dance matching using the Markov chain model was good and beneficial to the integration of traditional music and sports dance.
A teaching model of college ideological and political theory course based on multiuser detection algorithm
Authors: Man Haining 
Published: September 2023

Abstract
To prove that the hybrid teaching mode of ideological and political theory courses in colleges and universities is significantly helpful in improving the teaching effect of Civics and Political Science, this study builds a basic framework of the hybrid teaching mode of the course by using the smart teaching platform starting from the accurate teaching mode of information technology. For the user tracking of the smart teaching platform, the gradient tracking multi-user detection algorithm based on the multi-step proposed Newton method is used to realize the user data analysis and the convergence analysis is conducted for the GDGP-MUD algorithm and MSQN-MUD algorithm. The results show that the maximum average response time is 460ms when the number of concurrent users of the smart teaching platform is 350-400. The average performance of the experimental class under the comparative analysis is 11.41 points higher than that of the control class.
Research on the application of intelligent virtual simulation technology in the display of art works
Authors: Xie Chi , Li Jianxun 
Published: September 2023

Abstract
In this paper, the SIFT algorithm is used to detect as well as match the feature points of the artwork, select the centroid of the artwork as well as the support domain, and produce locally approximated surfaces in the support domain to perform a 1:1 virtual reconstruction of the artwork. To flesh out the presentation of the artwork, the images of the modeled artwork are encoded and decoded using Gaussian kernel functions, convolutional layers, and channel attention. The loss function is also optimized, and an end-to-end approach is used to generate the images. After analysis, it is concluded that the display characteristics of different artworks in the intelligent virtual simulation technology for artwork display are over 80%, among which all display characteristics of fresco works are over 90%, and the interaction degree as well as the humanity degree are also over 90%. Therefore, based on this technology, the artworks can be displayed well.
Research on the quality system of psychology courses in higher education institutions based on the background of deep learning
Authors: Lv Mengsi 
Published: September 2023

Abstract
This paper uses a sentiment analysis approach to study students’ emotional experiences in psychology courses. It mainly analyzes the method of sentiment analysis in education and constructs a model of course quality analysis. The GRU model is used to store the input and output of textual information. The analysis focused on the input module, memory module, recurrent attention module and output module in classroom quality analysis. A third-order confusion matrix was established to calculate the accuracy rate and F1 mean value of common evaluation indexes for effective analysis. The results showed that most teachers allocated classroom content mainly to teaching professional knowledge, so the weights of the first-order indicators were 0.25 for teaching literacy, 0.45 for the teaching process, and 0.15 for curriculum resources.