bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PROBABILITAS PELAKSANAAN HAK POLITIK PADA PEMILIHAN UMUM PRESIDEN TAHUN 2019 DI KOTA JAMBI (PENDEKATAN REGRESI LOGIT)
Authors: Anderson Irzal , Kuswanto Kuswanto 
Published: December 2021

Penelitian bertujuan untuk mengetahui probabilitas masyarakat Kota Jambi dalam melaksanakan hak politik pada Pemilihan Umum (Pemilu) Presiden Tahun 2019. Penelitian ini menggunakan metode Ex-Post Facto untuk mengetahui peristiwa yang terjadi sebagai akibat dari faktor-faktor yang mempengaruhinya. Populasi dalam penelitian ini adalah masyarakat yang terdaftar sebagai pemilih pada Pemilu Presiden Tahun 2019 di Kota Jambi yang terdiri dari 11 Kecamatan dan 62 Kelurahan yang berjumlah 865. Sampel dipilih menggunakan teknik area sampling tingginya tingkat abstain di suatu daerah sebanyak 266 responden. Data diperoleh menggunakan angket dan dianalisis dengan menggunakan model regresi logit. Hasil penelitian menjelaskan bahwa tingkat probabilitas pelaksanaan hak politik masyarakat di Kota Jambi pada Pemilu Presiden Tahun 2019 dipengaruhi secara signifikan oleh faktor pendidikan politik, budaya politik, sikap politik dan tingkat pendapatan. Persepsi masyarakat terhadap kinerja pemerintah, dan kondisi sosial politik serta jenis pekerjaan tidak berpengaruh secara signifikan terhadap tingkat probalilitas pelaksanaan hak politik masyarakat di Kota Jambi pada Pemilu Presiden Tahun 2019. Diperlukan optimalisasi peran pemerintah dan pelaku politik untuk melakukan sosialisai politik di masyarakat dan konsistensi kinerja pemerintah dengan visi dan misi yang telah dikampanyekan agar mengurangi abstain masyarakat dalam Pemilu Presiden.
Multiplikasi tunas tanaman temu putih (Curcuma zedoria (Christm.) Roscoe) pada berbagai jenis karbohidrat dan sitokinin secara in vitro
Authors: Murgayanti Murgayanti , Putri Adelia Anissa , Nuraini Anne 
Published: December 2021

Temu putih adalah tanaman yang kaya akan manfaat, khususnya dalam bidang kesehatan. Permasalahan utama dari perbanyakan tanaman temu putih secara konvensional adalah penggunaan bahan tanam berupa rimpang yang memiliki masa dormansi 2-3 bulan. Percobaan ini bertujuan untuk mengetahui respon pertumbuhan dan multiplikasi eksplan C. zedoria terhadap 3 jenis karbohidrat, yaitu sukrosa, glukosa dan amilum dengan konsentrasi 2% dan 4% yang dikombinasikan dengan 2 jenis sitokinin, yaitu BAP 2 ppm dan TDZ 1.5 ppm secara in vitro. Percobaan ini menggunakan Rancangan Acak Lengkap dengan 78 unit percobaan dan dengan waktu pengamatan selama 12 Minggu Setelah Tanam (MST). Hasil percobaan menunjukkan kombinasi sukrosa dan glukosa dengan sitokinin BAP dan TDZ memberikan pengaruh terhadap poliferasi tunas baru, perkembangan dan pertumbuhan planlet tanaman C. zedoria. Sedangkan, penggunaan amilum pada setiap perlakuan menyebabkan kematian fisiologis lebih cepat. Penggunaan TDZ pada setiap perlakuan memberikan hasil yang lebih baik terhadap jumlah tunas baru. Perlakuan dengan media Sukrosa 4% + TDZ 1.5 ppm memberikan hasil yang paling tinggi terhadap jumlah tunas yaitu 4.67 kali lipat dari kontrol. Perlakuan dengan media Sukrosa 2% + BAP 2 ppm memberikan hasil yang paling tinggi pada panjang tunas senilai 2,98 kali lipat dari kontrol dan jumlah daun senilai 2,4 kali lipat dari kontrol.
Formulasi dan Uji Karakteristik SNEDDS Asiklovir
Authors: Akbar Nanda Dwi , Nugroho Akhmad Kharis , Martono Sudibyo 
Published: December 2021

Asiklovir termasuk ke dalam biopharmaceuticals classification system (BCS) kelas III. Obat yang tergolong ke dalam BCS kelas III memiliki kelarutan tinggi dan permeabilitas rendah. SNEDDS terbukti dapat meningkatkan kelarutan, disolusi dan permeabilitas obat. Tujuan penelitian ini adalah mengembangkan formulasi SNEDDS asiklovir yang berpotensi untuk peningkatan perrmeabilitas asiklovir. Asam oleat, chremophor RH 40 dan transcutol masing-masing dipilih sebagai minyak, surfaktan dan ko-surfaktan. Sebelum dilakukan pembuatan formulasi SNEDDS asiklovir, dilakukan uji kelarutan asiklovir dalam transcutol HP dan optimasi basis SNEDDS tanpa asiklovir. Uji karakteristik SNEDDS asiklovir meliputi waktu emulsifikasi, visual, ukuran droplet dan indeks polidispersitas. Formulasi SNEDDS dengan perbandingan asam oleat-Smix = 1:9 dan perbandingan chremophor RH 40-transcutol HP = 3:1 menghasilkan nanoemulsi dengan visual transparan dengan waktu emulsifikasi, ukuran partikel dan indeks polidispersitas rata-rata masing-masing sebesar 12,667 ± 0,577 detik, 14,803 ± 4,07 nm dan 0,310 ± 0,104. Formula SNEDDS asiklovir dengan perbandingan asam oleat-Smix = 1:9 dan perbandingan chremophor-transcutol HP = 3:1 merupakan formulasi SNEDDS asiklovir terbaik yang mememenuhi persyaratan visual, waktu emulsifikasi, ukuran partikel dan indeks polidispersitas.
Tranilast treats cold-related hypertension by reducing the expression of NLRP3 inflammasome
Authors: Yu Hui , Zhou Yun , Duan Yu , Gao Yunlong , Fang Ning , Zhang Jiawei , Li Yue 
Published: December 2021

Abstract

Objective
Cold exposure is associated with increased prevalence of hypertension and the related severe cardiovascular events. Aberrant activation of the nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome plays an important role in the development of hypertension. Tranilast (TR), an inhibitor of NLRP3, provides a useful pharmacological probe for exploring the role of NLRP3 in pathogenesis associated with inflammation and its potential application as a therapeutic agent. This study was designed to examine the effects of TR on NLRP3 and hypertension in rats exposed to cold environment to simulate the frigid-zone conditions.

Methods and results
Sprague Dawley (SD) rats were exposed to moderate cold temperature (4±1°C), and then were randomized to receive TR or vehicle for 3 weeks, while the control group was raised under rat room temperature (RT, 23±1°C). We found that cold exposure substantially increased blood pressure, NLRP3 inflammasome level, and fibrosis in aorta, which were reversed by TR.

Conclusion
TR has an anti-hypertensive property in cold environment, and this beneficial action is likely conferred by its inhibitory effects on inflammation and fibrosis. These findings suggest TR as a potential drug for the treatment of cold-induced hypertension.
Parameterless Pruning Algorithms for Similarity-Weight Network and Its Application in Extracting the Backbone of Global Value Chain
Authors: Xing Lizhi , Han Yu 
Published: December 2021

Abstract

Purpose
With the availability and utilization of Inter-Country Input-Output (ICIO) tables, it is possible to construct quantitative indices to assess its impact on the Global Value Chain (GVC). For the sake of visualization, ICIO networks with tremendous low- weight edges are too dense to show the substantial structure. These redundant edges, inevitably make the network data full of noise and eventually exert negative effects on Social Network Analysis (SNA). In this case, we need a method to filter such edges and obtain a sparser network with only the meaningful connections.

Design/methodology/approach
In this paper, we propose two parameterless pruning algorithms from the global and local perspectives respectively, then the performance of them is examined using the ICIO table from different databases.

Findings
The Searching Paths (SP) method extracts the strongest association paths from the global perspective, while Filtering Edges (FE) method captures the key links according to the local weight ratio. The results show that the FE method can basically include the SP method and become the best solution for the ICIO networks.

Research limitations
There are still two limitations in this research. One is that the computational complexity may increase rapidly while processing the large-scale networks, so the proposed method should be further improved. The other is that much more empirical networks should be introduced to testify the scientificity and practicability of our methodology.

Practical implications
The network pruning methods we proposed will promote the analysis of the ICIO network, in terms of community detection, link prediction, and spatial econometrics, etc. Also, they can be applied to many other complex networks with similar characteristics.

Originality/value
This paper improves the existing research from two aspects, namely, considering the heterogeneity of weights and avoiding the interference of parameters. Therefore, it provides a new idea for the research of network backbone extraction.
Determining the area corrections affecting the map areas in GIS applications
Authors: Yildirim Faruk , Kadi Fatih 
Published: December 2021

Abstract
Nowadays, there are many area-based Geographic Information Systems (GIS) applications such as real estate valuation, land tax, farming support and cost–benefit analysis. Areas used in such applications are calculated by means of two-dimensional plane geometry. However, the computed area value is not the exact area value in the terrain. In order to calculate the exact area value of a parcel, area corrections due to various factors must be taken into account. These factors are selection of projection, slope of the terrain, elevation of the terrain and scale of the map. Selection of projection and slope of terrain are available; elevation of the terrain and scale of map are not available in all GIS software. In this study, the effect of area corrections on the area value calculated from the map is examined with sample applications and the results are presented to the GIS users. According to the results, GIS users should select the equal area projection. In addition, scale of map, elevation and slope of terrain should be taken into account in the area calculation where land measurements are not possible.
Forecasting the impact of buildings with multi-storey underground parts on the displacement of subsoil using modern numerical tools
Authors: Michalak Hanna , Przybysz Paweł 
Published: December 2021

Abstract
The paper will analyse and review the experience to date in determining the impact range of implementation of deeply founded structures on the displacement of the subsoil in the vicinity.
With the background of these experiences, primarily empirical, the present possibilities of using numerical modelling to forecast the displacements of the terrain surface in various stages of works, that is, execution of deep excavation support systems, excavation-deepening phases with successive adding of struts, construction of underground levels and erection of the above-ground part of the building, will be presented.
Based on the results of own research, conclusions on the use of 3D numerical models in spatial shaping and designing the structure of underground parts of new buildings erected in dense urban development will be presented. The characterised 3D numerical models were verified, taking into account the actual results of geodetic measurements of the completed buildings.
Determining the range and forecasting the displacements of the subsoil are necessary for the design and implementation of investments due to the need to ensure the safety of erection and use of a new building and the buildings located within the area of influence.
In-Plane Strengthening of Unreinforced Masonry Walls by Glass Fiber-Reinforced Polyurea
Authors: Son Seung-Hwan , An Jae-Hyoung , Song Jun-Hyeok , Hong Yu-Sik , Jang Hye-Sook , Eun Hee-Chang 
Published: December 2021

Strengthening techniques have been employed in Korea to unreinforced masonry walls (UMWs) for several years to protect them from damage caused by the intermittent occurrence of earthquakes. Polyurea, which has a high tensile strength and elongation rate, can be utilized as a strengthening material to enhance the in-plane strength and ductility of UMWs. Glass fiber-reinforced polyurea (GFRPU) is a composite elastomer manufactured by progressively adding milled glass fiber to polyurea. The purpose of this study is to investigate the enhancement of the in-plane strength and ductility of UMWs using GFRPU, depending on the shape of the GFRPU coating on the wall. Four masonry wall specimens are tested with test variables of the number of strengthening sides and coating shapes. It is illustrated that the GFRPU reinforcement of masonry wall leads to enhanced load-carrying capacity, ductility, and energy absorption. An empirical formula to represent the degree of strengthening effected by GFRPU is proposed in this study. Doi: 10.28991/cej-2021-03091782 Full Text: PDF
USAGE OF MACHINE LEARNING IN THE PROCESS OF RISK-MANAGEMENT
Authors: Svistunova Sof'ya , Muzalev Sergey 
Published: December 2021

Background.
Currently, artificial intelligence (AI) and machine learning are frequently implemented into the corporate structure and are aimed to transform the risk management system. Not only AI is useful for detection the interconnections between business processes, but also allows to accurately predict financial indicators and the reasons for possible deviations from standard values. Thus, the implementations of artificial intelligence and machine learning mechanisms makes it possible to increase the efficiency of operational activities and detect hidden risks.
Method.
The article discusses the main types of risks, identidication and minimization of which can be carried out using machine learning and also reveals key difficulties that arise while introducing innovative mechanisms into the structure of risk-management. The scientific novelty of the work lies in the relevance of using artificial intelligence mechanisms while minimizing the risks of an economic entity, as well as in identifying the main incentives for the efficient usage of machine learning in risk management.
Result.
As a result, the potential of introducing innovative methods into the structure of risk management to improve the efficiency of operating activities was revealed.
Conclusion.
In the process of the methodological study, the features of the application of machine learning methods in the risk management process were identified, moreover the article main limitations and possibilities of using artificial intelligence in order to minimize risks were revealed.
IMPORTANT ASPECTS OF MONITORING AND FINANCIAL ANALYSIS OF THE DEBTOR ENTITY'S ACTIVITIES
Authors: Shnayder Ol'ga , Zemskova Ol'ga 
Published: December 2021

The relevance of the article is that in the conditions of an economic downturn, it is necessary to comply with all the positions of legislative documents when determining the bankruptcy of an enterprise, as well as scientific analysis of its activities, provided that the annual, operational accounting, financial and tax reports are not falsified, is of fundamental importance.
The purpose of the study is to systematize the coefficients of the debtor entity's activity for the temporary arbitration manager over the past two years.
The Application of Process-Oriented Guided-Inquiry Learning (POGIL) Techniques through Lesson Study Activities in Educational Management Courses at English Education to Increase Learning Activity
Authors: Prianggita Veny Agustini 
Published: December 2021

Facing the industrial revolution 4.0, Indonesian citizens are challenged to be ready to feel some changes in many sectors including education sector. That is why Faculty of Teacher Training and Education of Mathla’ul Anwar University of Banten, a study programme which will prepare the graduates for industrial era 4.0 should start designing a learning process in order to create the graduates who are ready to face technology era that will be headed. This learning process innovation can be started by changing the learning paradigm from Teacher Centered Learning (TCL) to Student Centered Learning (SCL). One of technique that can be used is POGIL (Process-oriented guided-inquiry learning). It is a collaborative learning (cooperative, integrated inquiry, metacognitive). To make POGIL technique work optimally, it can be done by doing some learning activities of Lesson Study. Lesson study is an educator profession guiding model through learning assessment collaboratively and sustainably according to collegiality principals and mutual learning to improve the learning quality and learning community. Learning activities through the POGIL technique, are thought to be able to help improve the metacognition skills of English language education students, one of which is by seeing the results of the level of student activity while studying. This research is aimed to find out the student’s activity by using POGIL technique through learning activities of Lesson Study. The research question of this article is how to increase student learning activities with the POGIL technique through LSLC? This research is descriptive statistical analysis. The populations in this research are 25 university students who take English Education Course. The data collecting technique was done by using questionnaire. After data collecting, normality testing was done by using Shapiro-Wilk testing (because the population is less than 100) with signification degree α = 5%, followed by T one-sample test.According to data processing result done by using SPSS version 25, it is concluded that the average is 82,24 and deviation standard is 4,47. Then the normality test is applied and we get Sig. for 0,549, because the amount of Sig. is more than 0,05 so that data has normal distribution. Then T one-sample test is applied, and we get tcount=1,734 at the significant level 5%. The number of ttable got from t distribution table with dk=25 is 1,708. So, according to the result of data processing and t distribution table, it is known that the score of tcount=1,734 > ttable=1,708 at the significant degree 5%. It can be concluded that by POGIL technique application through Lesson Study activity, 80% students become more active in learning activity process at the class.
Politeness Strategy Used By Clothes Vendors At Tradional Market Pasar Bojong
Authors: Rostiana Heva 
Published: December 2021

The aim of this research was to know the politeness strategy used by clothes vendor at traditional market Pasar Bojong. The method of this research is descriptive qualitative approach. This researcher conducted on April 2021. In collecting the data, the researcher used observation and interview. The researcher recorded 5 speech events and utterances of 5 different respondents as the populations and samples of this research. Interview used to support the data. The result of this research shows that language used by most of clothes vendors was Sudanese, and they tend to use negative politeness than positive politeness of Sudanese language.
Analysis of Patient Operation Interest in Sumber Glagah Hospital, Mojokerto Regency
Authors: Rofi'in Mohamad , Suprapto Sentot Imam 
Published: December 2021

A person's interest in services is related to the ability of the service provider to provide services. The purpose of this research is to analyze the influence of perception, service quality, anxiety and type of surgery on patient interest in performing surgery at Sumber Glagah Hospital, Mojokerto Regency. The design of this study is a quantitative analytic study with a cross sectional approach with the focus of the research being aimed at analyzingthe influence of perception, service quality, anxiety and type of surgery on patient interest in performing surgery at Sumber Glagah Hospital, Mojokerto Regency with a population of a number 143 respondents and a sample of 105 respondents who were taken using purposive sampling technique. Data analysis using Linear Regression test.The findings found that Most of the respondents had the perception of a sufficient category as many as 65 respondents (61.9%). Most of the respondents had a sufficient service quality category as many as 66 respondents (62.9%). Most of the respondents had moderate anxiety as many as 61 respondents (58.1%). Most of the respondents had a selective category of operation as many as 92 respondents (87.6%). Most of the respondents have a moderate interest category as many as 69 respondents (65.7%). Based on the results of the Multiple Linear Regression analysis, it shows that with a p-value of 0.000 <0.05, H1 is accepted so it can be concluded that simultaneously there isinfluence perception, quality of service, anxiety and type of surgery on patient interest in performing surgery at Sumber Glagah Hospital, Mojokerto Regency with a magnitude of influence 70.4%. Basically, a person's interest can be influenced by various factors ranging from the patient's point of view, the quality of existing services and even the patient's level of anxiety.
Improving the Compliance of Fluid Diet of Patients with Chronic Kidney Failure with Family Support-Based Health Education
Authors: Mahyuvi Tata , Hasina Siti Nur 
Published: December 2021

Background: Failure of kidney function can lead to complications of other health problems, one of which is the condition of excess fluid volume caused by non-compliance with fluid dietary restrictions so that it triggers hypervolemia and results in excessive circulation burden, edema, cardiovascular disorders, impaired cognitive function and can lead to cause death. It is expected that patients with chronic renal failure undergoing hemodialysis therapy can comply with the prescribed fluid diet restrictions. Therefore, in increasing compliance, strong support is needed regarding the importance of fluid diet restriction management.
Objective: The purpose of this study was to analyze the Effect of Family Support-Based Health Education on Fluid Diet Compliance in Chronic Kidney Failure Patients.
Methods: The design of this study was a quasi-experimental with a pre and post design approach. The population of all patients with chronic kidney failure at Islamic Hospital Of Surabaya A. Yani was 82 patients. The sample size is 48 respondents. The sampling technique used simple random sampling. Patients are given family support-based health education in an effort to increase health knowledge in improving the health status of patients with chronic kidney failure with a family support approach to improve adherence to the fluid intake diet. The analysis used the Wilcoxon Signed Ranks test with p value < 0.05.
Results: The results of this study indicate p = 0.000 which means that there is a significant effect of Fluid Diet Adherence before and after Family Support-Based Health Education.
Conclusion: Family Support-Based Health Education is effective in improving Fluid Diet Adherence in patients with chronic renal failure and is highly recommended for patients undergoing hemodialysis therapy.
Overview Knowledge and Attitudes of Parents in the Application of Protocol Health in Children During the Covid-19 Pandemic
Authors: Zakiah Zakiah , Suyati Suyati 
Published: December 2021

COVID-19 has been declared a global pandemic by WHO. The spread of the Corona virus can trigger anxiety for parents, especially for those who have small children. Transmission of Covid-19 in children is usually caused by weak immunity or transmission from adults. For this reason, families, especially parents, need to give the education, understanding and protect their children from Covid-19 transmission by implementing health protocols. The purpose of this research is to know the description of knowledge and attitudes of parents in the application of health protocols to children during the covid-19 pandemic.
This research is a descriptive research by using primary data obtained from questionnaires. Respondents is 30 parents which have children who study at TK Darul Falah Cukir Jombang. Data are analyzed univariate and presented in the form of tabel.
The results of the knowledge level variable data shows 26 responden (87.5%) have a good level of knowledge, and 4 people (12.5%) has sufficient knowledge level. The attitude variable data show that all respondents (100%) have a positive attitude in applying health protocols to children during the covid-19 pandemic.
The conclusion is the level of knowledge and attitudes of parents in implementing health protocols for children during the COVID-19 pandemic at TK Darul Falah Cukir Jombang is mostly in the good category. Parents are expected to always facilitate their children in implementing health protocols to prevent the spread of COVID-19.