bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of family caregivers in medication adherence of elderly in Asian setting: a scoping review
Authors: Wiedyaningsih Chairun , Widyakusuma Niken Nur , Sri Suryawati  
Published: June 2023

Family caregivers for elderly play a very important role in implementing drug adherence, especially in Asian countries. Various determinants of medication adherence included caregivers as family support. Although the relationship between family support is not always significant, understanding the factors of family caregivers on medication adherence is important, especially when improving adherence in Asian countries.
The following scoping review was conducted to provide an overview of caregivers, and its relationship to medication adherence in Asian settings. PRISMA-ScR guideline and checklist was used for the search process and to guide reporting. Review selection and characterization were performed by reviewers independently. In total, 22 papers were included in the review, published from 2011 to 2021. The studies varied in terms of purpose, methodology, and detail of reporting.
Family caregiver is an important determinant of medication adherence, especially for areas where extended family culture is still strong, such as in Asia. Understanding the local culture, aspects of family burden and economic, as well as the role of the health profession, especially pharmacists in health services are needed to improve adherence. Therefore, further research with quality methods is needed.
ASSERTIVE BEHAVIOR OF ADOLESCENTS IN PSYCHOLOGY PERSPECTIVE OF THE QUR'AN
Authors: Mela Lita Mela , Ichsan Ichsan 
Published: June 2023

Adolescents experience a transitional phase from childhood to early adolescents from middle adolescents must experience a transition to adulthood. In the transition phase, assertive behavior is very important for adolescents to have in expressing feelings and thinking of them as an effort to reduce the perpetrators of deviance and psychically strengthen the victims of adolescent deviance. The purpose of this study is to analyze the assertive behavior of adolescents in psychology as well as analyze the assertive behavior of adolescents from the perspective of the Qur'an. The technique used is a literature review by collecting several previous articles. The results of this study show that having Assertive behavior makes the individual understand himself, and his purpose in life, and assertive behavior make adolescents able to say right this is in line with the commands in Surah Al-Azhab verse 70 and Surah Al-Baqarah verse 42. Able to reject and express his disapproval of the opinions of others, without offending them in line with QS. Ali Imran verse 159. Able to express pleasant and unpleasant feelings honestly in harmony with QS. An-Anfal verse 125.
Induced Seismicity Forecasting with Uncertainty Quantification: Application to the Groningen Gas Field
Authors: Kaveh Hojjat , Batlle Pau , Acosta Mateo , Kulkarni Pranav , Bourne Stephen J , Avouac Jean Philippe 
Published: June 2023

Reservoir operations related to natural gas extraction, fluid disposal,
carbon diox-
ide storage, or geothermal energy production, are capable of inducing
seismicity. Mod-
eling tools have been developed that allow for quantitative forecasting
of seismicity based
on operations data, but the computational cost of such models and the
difficulty in rep-
resenting various sources of uncertainties make uncertainty
quantification challenging.
We address this issue in the context of an integrated modeling
framework, which com-
bines reservoir modeling, geomechanical modeling, and stress-based
earthquake forecast-
ing. We use the Groningen gas field as a case example of application.
The modeling frame-
work is computationally efficient thanks to a 2-D finite-element
reservoir model which
assumes vertical flow equilibrium, and the use of semi-analytical
solutions to calculate
poroelastic stress changes and predict seismicity rate. The earthquake
nucleation model
is based on rate-and-state friction and allows for an initial strength
excess so that the
faults are not assumed initially critically stressed. The model
parameters and their un-
certainties are estimated using either a Poisson or a Gaussian
likelihood. We investigate
the effect of the likelihood choice on the forecast performance and we
estimate uncer-
tainties in the predicted number of earthquakes as well as in the
expected magnitudes.
We use a synthetic catalog to estimate the improved forecasting
performance that would
have resulted from a better seismicity detection threshold. Finally, we
use tapered and
non-tapered Gutenberg-Richter distributions to evaluate the most
probable maximum
magnitude over time and account for uncertainties in its estimation. We
show that the
framework yields realistic estimates of the seismicity model
uncertainties and is appli-
cable for operational forecasting or to design induced seismicity
monitoring. It could also
serve as a basis for probabilistic traffic-light systems.
An investigation into some misconceptions about Mass and Volume by Junior Secondary School learners in Eswatini
Authors: Olayinka Adesola A. , Akintola Timothy 
Published: June 2023

Mass and Volume are important fundamental concepts in Mathematics and
they are normally introduced at the Junior Secondary School level across
Swaziland. However, simple as the concepts appear to be, it has been
observed, as presented in recent annual diagnostic reports, that
learners repeatedly make some errors informed by their misconception
about these measurements. This paper investigates the causes of the
common errors with a view to arresting the trend. 200 students and 15
science teachers were randomly selected from 5 secondary schools in
Manzini region as a representation of the other three regions in
Swaziland. A combination of cluster sampling and rating scale analysis
was employed. Responses collected from questionnaires administered in
the course of the work were thoroughly analyzed and interpreted. Some
recommendations were also suggested.
Climatic niche as a modeler of the distribution pattern of Schinopsis brasiliensis in the Neotropical
Authors: De Medeiros Ana Paula , Mariano Erich De Freitas , Alves Marcelo Menezes , De Araújo Maria De Fátima 
Published: June 2023

Schinopsis brasiliensis Engl. (Anacardiaceae) is a woody medicinal plant interesting to research and conservation due to timber extraction, high pharmacological potential and cultural value in the Brazilian semi-arids. In this research, we modeled the potential distribution of the species in the Neotropical, identified the climate limiting factors of its distribution and measured the percentage of adequate protected areas. The model was generated in the Maxent software, through the combination of 469 registers of the species occurrence and nine climate variables from the WorldClim data base and presented good development (AUC = 0.976). The potentially adequate areas were estimated along the dry diagonal in South America, in addition to fragmented areas at the coast of Peru and Ecuador. Precipitation, temperature and atmospheric humidity were the most influential variables on the prediction of climatically viable areas for the species. The results indicate low representation of protected areas (0.003%) in highly adequate areas, which demonstrates the necessity of expansion, implementation of measures of conservation and management of S. brasiliensis. The findings in this study, therefore, can be used for scientific support on delineating these measurements.
PENGARUH SOLVABILITAS, PREMI, DAN BEBAN KLAIM TERHADAP PROFITABILITAS PERUSAHAAN ASURANSI YANG TERDAFTAR DI BEI
Authors: Tanujaya Steven Putra , Rochdianingrum Widhi Ariestianti 
Published: June 2023

Industri asuransi hadir sebagai wadah pertanggungan risiko bagi masyarakat. Sebagai suatu industri yang aktif, tentunya keuntungan menjadi salah satu elemen yang menggerakkan kinerja operasinya. Penelitian ini ditulis dengan tujuan untuk menguji pengaruh solvabilitas, premi dan beban klaim terhadap kinerja profitabilitas perusahaan asuransi. Penelitian ini dilakukan selama periode 5 tahun yaitu dari tahun 2017-2021. Populasi penelitian ini adalah sebanyak 18 perusahaan asuransi yang terdaftar di Bursa Efek Indonesia (BEI). Teknik pengambilan sampel yang digunakan pada penelitian ini menggunakan teknik purposive sampling. Terdapat 10 perusahaan asuransi yang digunakan sebagai sampel dalam penelitian ini. Metode analisis yang digunakan dalam penelitian ini adalah metode analisis regresi linier berganda. Data yang digunakan dalam penelitian ini menggunakan data sekunder yang berupa laporan keuangan perusahaan asuransi tahun 2017-2021 yang diolah dengan menggunakan program SPSS 25. Hasil dari penelitian ini adalah kesimpulan bahwa solvabilitas dan premi tidak berpengaruh signifikan terhadap profitabilitas. sedangkan variabel beban klaim berpengaruh negatif signifikan terhadap profitabilitas.
Evaluasi Penerapan CDOB Obat Narkotika pada salah satu PBF di Jakarta Timur
Authors: Priandana Muhamad Fikri Satria , Aulifa Diah Lia 
Published: June 2023

Distribusi obat harus memenuhi aspek yang tercantum pada Cara Distribusi Obat yang Baik (CDOB) agar obat dapat ditangani dengan baik untuk menghindari kerusakan atau penyalahgunaan obat. Produk obat narkotika merupakan obat yang dapat menyebabkan penurunan kesadaran dan hilangnya rasa nyeri serta menyebabkan kecanduan sehingga berpotensi tinggi untuk disalahgunakan diluar tujuan medis. Produk obat narkotika memerlukan perhatian khusus dalam penanganannya mulai dari pengadaan, penerimaan, penyimpanan sampai penyaluran ke instalasi farmasi dibandingkan dengan obat regular. Artikel ini akan membahas evaluasi penerapan CDOB pada produk narkotika di salah satu pedangang besar farmasi (PBF) di Jakarta Timur. Penelitian dilakukan di bulan November 2022. Penelitian ini bersifat deskriptif, evaluatif serta wawancara langsung. Hasil penelitian mengenai penerapan CDOB pada produk narkotika pada salah satu PBF di Jakarta Timur menunjukan bahwa pelaksanaan aspek CDOB telah dilaksanakan dengan sangat baik dengan nilai kesesuaian 100% dari semua poin yang diamati.
Analisis ROA dan ROE Terhadap Kinerja Keuangan Pada PT. Bank Negara Indonesia (BNI) Periode 2017-2021
Authors: Agnesia Tamara , Situngkir Tiar Lina 
Published: June 2023

ABSTRAKRiset ini dilaksanakan dengan maksud untuk memahami bagaimana kinerja keuangan dari PT.BNI pada periode 2017-2021 dengan menggunakan alat analisis keuangan yaitu rasio ROA dan ROE. Laporan keuangan dari PT.BNI periode 2017-2021 yang terdapat pada BEI adalah data yang digunakan pada riset ini. Riset ini menggunakan teknik analisis deskriptif kuantitatif. Dari hasil analisis rasio yang telah dilakukan, nilai yang didapatkan dari menghitung rasio ROA dan ROE pada PT.BNI berfluktuasi, artinya nilai rasio mengalami kenaikan dan penurunan. Rasio ROA yang diperoleh dari PT.BNI pada periode 2017-2021 dikatakan kurang baik, karena perolehan nilai rata-rata ROA kurang dari ketetapan standar rata-rata industri sebesar 1,5%. Selain itu Rasio ROE yang diperoleh oleh PT.BNI pada periode 2017-2021 dikatakan kurang baik, dikarenakan nilai rata-rata ROA juga kurang dari ketetapan standar rata-rata industri sebesar 40%. Oleh karena itu, PT.BNI harus dapat meningkatkan kinerja keuangannya dengan optimal dan maksimal.Kata Kunci : ROA, ROE, Kinerja Keuangan
Construction of Sports Management System Based on Multi-Layer Neural Network Model
Authors: Wen Jiaqi , Liang Dong 
Published: June 2023

Abstract
Sports administrators must do an excellent job of preparation before the game. The goal is to keep the game safe. This paper uses the BP neural network to establish the danger warning system for sports competitions. The aim is to reduce the probability of dangerous incidents in sports competitions. Then this paper determines the relevant evaluation indexes of the risk warning mode of sports competition activities. Finally, this paper makes an empirical study of the risk warning model of sports events. The results show that the risk prediction of sports matches based on the BP neural network is accurate.
Effect of IMB model nursing on patients’ self-perceived burden and cognitive function
Authors: Zhang Xiaojing 
Published: June 2023

Abstract
The purpose of this study is to investigate the effectiveness of a nursing intervention based on the Information-Motivation-Behavioral Skills Model(IMB Model) in patients with chronic heart failure. An average of 100 patients with chronic HF admitted to our hospital from January 2020 to December 2021 were divided into two groups. 50 patients in the experimental group were given IMB model care, and 50 patients in the control group underwent routine care measures. Patients were evaluated both before and after the intervention using the self-perceived burden scale and the Montreal Cognitive Assessment Scale. The experimental results showed that after 6 months of intervention, the self-perceived burden scores of both groups decreased, with the experimental group significantly lower than the control group. The cognitive function was higher in the experimental group than in the control group. This experiment concludes that the IMB model nursing intervention can relieve the burden of chronic heart failure, and improve the cognitive function of the disease in patients with chronic heart failure.
Títul Automatic Extraction and Discrimination of Vocal Theme Based on Quadratic Wave Equation
Authors: Liu Juan 
Published: June 2023

Abstract
Tune is the essential music component. Melody extraction is a crucial technique in music retrieval. The pitching order of polyphonic music is the main feature of vocal music. This paper presents an improved method of extracting vocal themes based on the quadratic wave equation. This paper presents a new algorithm based on the frequency spectrum characteristics of verbal signals. This method can effectively reduce the amount of computation and shorten the time of the primary melody extraction. This paper proposes a new fundamental frequency recognition model based on BP neural network, which has a good ability for secondary wave transformation. This method can improve the recognition accuracy of the primary melody model while reducing the error of melody location. This can improve the overall vocal music of the leading melody extraction precision. The analysis results of MIR-1K data show that the overall recognition accuracy of the improved theme is 2.13% higher than that of the original method. Compared with the traditional way, the average time of theme extraction is shortened by 0.06 seconds.
Application of the ADDIE Model in the Teaching Practice of Basketball Skills
Authors: Gong Wei 
Published: June 2023

Abstract
This paper establishes a mathematical model of basketball sports based on an ADDIE model. This paper takes basketball players’ pitching as the research object. Then use the ADDIE model method to analyze the best angle of the goal to improve the accuracy of basketball throwing. Firstly, this paper establishes the dynamic model of basketball movement and then shows the equation of basketball movement trajectory. Then this paper uses the ADDIE model to optimize and solve the best angle of basketball. At the same time, this paper proposes a motion control of basketball rotation motion using adaptive trajectory correction technology. Finally, this paper analyzes the optimal angle of a basketball's rotation projection. The numerical simulation proves that it is feasible to use the ADDIE model to solve the optimal angle of the basketball's rotating body. The method proposed in this paper achieves good results in angle correction and trajectory tracking. This method has a good application prospect in establishing the rotational projection motion model of sports tourism basketball.
Analysis of bridge foundation pile detection based on convolutional neural network model
Authors: Chen Aiping 
Published: June 2023

Abstract
In order to quickly and accurately detect the instability of foundation piles on concrete Bridges, an improved convolutional neural network based image recognition method for concrete bridge pile foundations was proposed. In order to improve the image quality, the entropy threshold method is used to process the image, and the two-channel convolutional neural network is designed to extract the image features fully. The improved traditional Relu activation function avoids model underfitting. Support vector machine (SVM) was used to replace Softmax classifier to improve computing efficiency. The experiment of bridge pile foundation image recognition shows that the improved convolutional neural network has significantly improved the recognition rate of the real bridge pile foundation. No matter how many degrees the image is rotated, the method in this article always maintains a high recognition rate, and the recognition rate does not fluctuate much, indicating that the algorithm in this article has good robustness to rotation and translation. In summary, the average recognition rate of the 5 groups was 96.26%. The feasibility of this method in identifying bridge pile foundation is proved.
3D Virtual Art Design Method Based on ARCS Model
Authors: Peng Wei 
Published: June 2023

Abstract
The author proposes the use of 3D virtual VR technology in the ARCS model to understand the real and specific environment design of the ARCS model in 3D virtual art design, to check the application of 3D virtual VR technology in the design of the urban environment, the application is 3D virtual VR technology, - the construction of 3D urban model, exploring specific applications. Check out specific applications of 3D virtual VR technology in urban park art design, automotive ambient art design, and landscape ambient art design. Experiments have shown that 3D virtual VR technology can improve environmental design results with high user satisfaction and economic results in the construction industry.
Application of deep learning model in computer data mining intrusion detection
Authors: Chen Yan , Zhao Cuirong 
Published: June 2023

Abstract
In order to improve the autonomous defense ability and correct detection rate of network intrusion detection system, in this essay, an intrusion detection model combining convolutional neural network and Inception network structure is proposed, and the attention mechanism is set in the model, and DropBlock layer is added. In this model, convolutional neural network layer is used to fully extract data features. The attention mechanism is used to calculate the weight of each feature to distinguish the importance of the feature. The DropBlock layer is used to improve the generalization ability of the model, improve the accuracy of intrusion detection and reduce the complexity of the model. Experiments on data sets show that this model has higher accuracy and stronger generalization ability.
Coupling Coordination of Long Triangle Digitization and High Quality Development of Manufacturing Industry based on Differential Equation
Authors: Han Yuefeng , Zhao Feng , Zhao Boyu 
Published: June 2023

Abstract
In the context of the new dual-cycle development model, the Long Triangle, as the main development pillar of China's economic development, aims to enhance the quality development level of the digitization and industrialization, and achieve the deep development of the two. Based on the differential equation, this paper presents the problems of the linkage and coordination between digitization and sustainable development of manufacturing in Long Triangle. The countermeasures based on panel data of three provinces and a city in Long Triangle from 2011 to 2019, an index system of quality of digitization and productivity has been established, and spatio-temporal evolution characteristics of joint level and problems in the process of joint coupling are analyzed. The results show that from 2011 to 2019, the level of linkage and coordination between economic digitization and sustainable development of production in Long Triangle region is increasing, but the overall level is not high and the spatial difference is large. There are also significant differences between rank and benign cooperation; The key obstacle factors in each province are both relatively concentrated and different.
Designing Project-Based Learning in research proposal writing: Its effect, problems, and scaffolding utilized
Authors: Padmadewi Ni Nyoman , Artini Luh Putu , Ratminingsih Ni Made , Suhardiana I Putu Andre , Zamzam Ahmad , Juniarta Putu Adi Krisna 
Published: June 2023

Project Based Learning (PBL) is highly important to be suited to the student’s needs as a guide in writing research proposals. The objectives of the study were to (1) describe the PBL design based on the students’ needs, (2) identify the problems encountered during the project writing, (3) describe the scaffolding utilized, and (4) analyze the effect of PBL implementation on the quality of students’ research proposal. The research used mixed methods in the form of a research and development design using the ADDIE model (which consists of steps of analyzing needs, designing the product of PBL, developing, and implementing it, and conducting evaluation). The participants were 20 respondents during the needs analysis, two lecturers, and three intact classes of 69 students during PBL implementation. Data were collected through questionnaires, interviews, a document study, and an experiment. A needs analysis was conducted using the Organizational Element Model (OEM), from which the PBL was developed. The data were analyzed using qualitative and quantitative analyses. The findings revealed that the PBL designed based on students’ needs has characteristics such as it is in the form of a framework and has systematic stages of teaching, being technology friendly, and being supported with various scaffoldings. The problems encountered concerned both grammar and content. The implementation of the PBL framework was found to have a significant effect on students’ research proposal writing in Research Method Course and develop their independence and learning autonomy.
KEKUATAN LENTUR KOMPOSIT MENGGUNAKAN MATRIKS EPOXY DENGAN REINFORCEMENT BAMBU, CARBON, PALF DAN SERAT BUNGA MALVA
Authors: Fernando Kelvin , Djamil Sofyan , Lubis Sobron 
Published: June 2023

The flexural strength comparasion of epoxy matrix composite with diferent reinforcement . Composite is a combination of two or more materials that have good physical properties and good mechanical properties. Reinforcement materials commonly used in polymer composites are fibers and strips material, bamboo fiber,carbon, PALF and malva fiber are used as reinforcement materials and epoxy resin polymer used as matrix. The research phase began with finding the journal which explain about flexural strength in a composite that using epoxy resin as matrix. The composite manufacturing process uses the hand lay-up method. The flexural strengths data will be compare and analized. The mechanical properties tested used flexural test with ISO 14125:1998 Fibre-reinforced plastic composites – Determination of flexural properties and ASTM D790/D790M-17 “Standard Test Methods for Flexural Properties of Unreinforced and Reinforced Plastics and Electrical Insulating Materials”.The strongest reinforcement is carbon with 475,27 MPa, second is malva’s fiber 214,00 MPa, third is PALF 103,25 MPa, the last one is bamboo 80,30 MPa.