bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Buy Back Saham terhadap Kinerja Keuangan dan Kinerja Pasar (Studi Kasus PT. Bakrie Sumatera Plantations Tbk.)
Authors: Kadang Oktavius Samsurya 
Published: June 2021

This research aimed at understanding the influence of, the stock bryback on the performances of finance ond mwket of PT Babie sumatera plontatiorc. This research used the quarterly finance data of the company abtained from the official website of the Indonesia stock hchange @EI) andfrom the daily stock price retriarcdfrom Yahoo Finance. The research periods were the third quffiter of 20A8, thefowth quwtu of 2008, andthefirst quoter of 2009. The ratio analysis result using trend concluded that A the time of doins the buyback, the finance performonce declined because of the *tng if the ratio of the debt and thefalli4g of the ratio of the liquidity. afier uecatiig uryback, the eompany liquidity ratio decreased and the debt ratio increasecl,whereas the ratio of RoA, RoE, and EPS was getting better because of the efrciency of the company. The mtket performance, whichwas anallzed based on the 6)erage of the stock price quarterly, deereased by the time of buyback"whereas arter doing the buybacli, the paform(mce was getting better aithough the *ternalfactors of the comp@ry was stronger in supporting the stockpriie.Keywords: Stock buybac\ financial ratio, performorce of finance,performance ofmmket.
SUMBER KEPERCAYAAN-KEPERCAYAAN DALAM NIAT MENGGUNAKAN SYNCHRONOUS E-LEARNING: STUDI EMPIRIS PADA PERGURUAN TINGGI DI YOGYAKARTA
Authors: Asmara Eka Noor 
Published: June 2021

This study aims to provide empirical evidence of the influence of individual factors, social factors and institutional factors as the antecedent of behavioral intention through beliefs in using the technology of synchronous e-learning, such as perceived usefulness and perceived ease of use. Analysis uses structural equation models by using smartPLS software. Results of this research shown the support of 6 out of 7 proposed hypothesis, namely that there is a significant positive relationship between top management commitment and support, references from colleagues and computer self efficacy against perceived usefulness and perceived ease of use. Keywords: behavioral intention, perceived usefulness, perceived ease of use, computer self efficacy, synchronous e-learning. ABSTRAKPenelitian ini bertujuan untuk memberikan bukti empiris pengaruh faktor individual, faktor sosial dan faktor institusional sebagai anteseden behavioral intention melalui kepercayaan-kepercayaan menggunakan teknologi synchronous e-learning, yaitu perceived usefulness dan perceived ease of use. Analisis menggunakan model persamaan structural dengan menggunakan software smartPLS. Hasil penelitian menunjukkan terdukungnya 6 dari 7 hipotesis yang diajukan yaitu terdapat hubungan positif signifikan antara dukungan dan komitmen manajemen puncak, referensi rekan sejawat dan computer self efficacy terhadap perceived usefulness dan perceived ease of use.Kata kunci: Niat perilaku, kegunaan yang dirasakan, persepsi kemudahan penggunaan, efikasi diri komputer, sinkron e-learning.
PENGARUH IMPLEMENTASI GOOD CORPORATE GOVERNANCE TERHADAP KINERJA KEUANGAN PERUSAHAAN
Authors: Hediono Bambang Purnomo , Prasetyaningsih Insiwijati 
Published: June 2021

This study aims to examine the effect of Good Corporate Governance (GCG) implementation on company,s financial performance. Sample size in this study were 16 companies listed on the Indonesia Stock Exchange. The Company’s Good Corporate Governance Index Score is based on ranking the SWA Governance Index. The analytical method used in this study uses a linear regression model. The results showed that GCG had a positive effect on corporate income, operating profit and post-tax profit. This shows that GCG has a positive effect on financial performance. Meanwhile, GCG has no significant effect on stock price. Key Words: Good Corporate Governance (GCG), Financial Performance ABSTRAK Penelitian ini bertujuan untuk menguji pengaruh implementasi Good Corporate Governance (GCG) terhadap kinerja keuangan Perusahaan. Ukuran sampel dalam penelitian ini adalah 16 perusahaan yang terdaftar di Bursa Efek Indonesia. Skor Indek GCG Perusahaan mendasarkan pada perangkingan Indek Tata Kelola SWA. Metode analisis yang digunakan dalam penelitian ini menggunakan model regresi linier. Hasil penelitian menunjukkan bahwa GCG berpengaruh positif terhadap pendapatan perusahaan, laba operasional dan laba setelah pajak. Hal ini menunjukkan bahwa implementasi GCG berpengaruh positif terhadap kinerja keuangan. Sementara itu, GCG tidak berpengaruh signifikan terhadap kinerja harga saham. Kata Kunci: Good Corporate Governance (GCG), Kinerja Keuangan
PERAN MODAL SOSIAL SEBAGAI MEDIATOR LITERASI KEUANGAN DAN INKLUSI KEUANGAN PADA USIA PRODUKTIF DI KABUPATEN GUNUNGKIDUL
Authors: Clara SB Elizabeth Fiesta , Krisnawati Astrie 
Published: June 2021

ABSTRACT Financial inclusion is proven to decrease poverty and social gap if it is done maximally. Gunungkidul regency as one of all regency with the poorest population in Daerah Istimewa Yogyakarta. The determinant factor in successful financial inclusion is financial literacy toward the population themselves. Furthermore, the other factor to accelerate poverty alleviation is the role of the productive population.This research aims to discover the role of social capital as the financial literacy and financial inclusion mediator of Gunungkidul’s Regency productive population. With social capital is expected to be a mediator in improving literacy and inclusion finance.The population in this research is 729.364 productive ages of Gunungkidul’s Regency population and the sample was taken by non-probability sampling technique which produced 424 samples. This study adopted Sobel test also Kenny and Baron method to examine the effect of mediaton of social capital in the relationship between financial literasion and financial inclusion. The result of this study found that social capital proved to partially mediate the association beteen financial literacy and financial inclusion of productivity age in Gunungkidul Regency. Keywords: Poverty, Financial Literacy, Financial Inclusion, Social Capital, Partially Mediation, Gunungkidul Regency. ABSTRAK Gunungkidul termasuk Kabupaten dengan jumlah warga miskin Yogyakarta. Inklusi keuangan dipercaya dapat menurukan kemiskinan apabila dilakukan secara maksmial serta dapat mengurangi kesenjangan sosial. Salah satu faktor penentu keberhasilan inklusi keuangan adalah adanya literasi keuangan pada masyarakat itu sendiri, faktor lain yang dapat mempercepat pengentasan kemiskinan adalah peran masyarakat produktif. Penelitian ini bertujuan untuk mengetahui peran modal sosial sebagai mediator literasi keuangan dan inklusi keuangan pada usia produktif di Kabupaten Gunungkidul yang diharapkan dapat meningkatkan literasi keuangan dan inklusi keuangan itu sendiri. Populasi penelitian ini adalah masyarakat Kabupaten Gunungkidul berusia produktif sebesar 729.364 jiwa. Pengambilan sampel dengan teknik non-probability sampling menghasilkan sampel sejumlah 424 jiwa. Penelitian mengadopsi dan menggunakan tes Sobel serta metode Baron dan Kenny dalam pengujian pengaruh mediasi modal sosial pada hubungan literasi keuangan dan inklusi keuangan. Hasil penelitian menemukan bahwa modal sosial terbukti secara parsial memediasi hubungan antara literasi keuangan dan inklusi keuangan pada usia produktif di Kabupaten Gunungkidul. Kata kunci: Usia Produktif, Literasi Keuangan, Inklusi Keuangan, Modal Sosial, Kabupaten Gunungkidul.
Application of gradient tree boosting regressor for the prediction of scour depth around bridge piers
Authors: Sreedhara B. M. , Patil Amit Prakash , Pushparaj Jagalingam , Kuntoji Geetha , Naganna Sujay Raghavendra 
Published: June 2021

Abstract
Scour around bridge piers is a complex phenomenon and it is essential to assess or predict the scour hazard around bridge piers in tandem with completely understanding its mechanism. To date, there is no exact method for the estimation of scour depth. Nowadays, machine learning techniques are being recognized as effective tools for the prediction of scour depth using experimental data. In the present study, gradient tree boosting (GTB) technique was used for the prediction of scour depth around various pier shapes under different streambed conditions. Sediment size, sediment quantity, velocity, and flow time were used as input parameters to predict the scour depth under clear-water and live-bed scour conditions. The scour depth was predicted for different pier shapes such as, circular, rectangular, round-nosed and sharp-nosed shaped. The GTB model predicted scour depth values were compared with that of the group method of data handling (GMDH) technique. The performance of GTB and GMDH models were then evaluated based on statistical indices such as RRMSE, NNSE, WI, MNE, SI, and KGE. The study concludes that the GTB model performance was relatively superior to that of GMDH in the prediction of scour depth around different pier shapes.
Dynamic water system modeling: a systematic review
Authors: Cerecedo Arroyo María Elena , Martínez Austria Polioptro Fortunato 
Published: June 2021

Abstract
Improving water resource management at a global scale is critical at this time. The risks to which bodies of water are currently exposed, whether due to climate change or anthropogenic conditions, affect water availability and quality in basins around the world. Nevertheless, water management has been revealed as a complex problem. In this light, one of the most promising methodologies is building dynamic simulation models, which may include the largest possible number of variables, not just hydrological. In this way, we may gain a broader perspective on all the natural and social dimensions encompassed in basins and, thus, improve decision making for the benefit of the population. This systematic review seeks to report the most representative results from several authors who have developed dynamic models applied to the management of water resources. Herein, special emphasis is placed on water resource management applied to basin models, decision making, and public policies, as well as on the modeling tools used and on model validation.
Chemistry of alkaline and non-alkaline scaling in community RO for brackish water treatment operated with and without antiscalant doses
Authors: Soti Abhishek , Gupta Akhilendra B. 
Published: June 2021

Abstract
About 3,500 small community based reverse osmosis (RO) plants have been installed in Rajasthan, India to comply with the recent Government of India guidelines for drinking water quality in rural areas. This paper presents the performance of four RO plants of Bharatpur, which face frequent replacement of membrane modules primarily due to accelerated scaling of carbonates and sulphates of calcium. A detailed chemical analysis of different streams from these plants was carried out to assess the reasons of scaling through a mass balance approach. The chemical analysis was substantiated through ion balance and the scaling potentials were analysed through different saturation indices. Efficacy of antiscalant usage plants was further assessed through mass balance approach followed by detailed characterization of the RO membrane to understand the complete fouling process, which brought out subtle differences in brackish and seawater desalination. The membranes adopting commonly used antiscalant showed an enhanced life span of 2–2.5 year by reducing calcium carbonate scaling but not calcium sulphate scaling. This study highlights the requirement of customized antiscalant application according to the feed characteristics. With a better understanding of the fouling phenomenon, this study would help enhance the life of membrane in RO plants treating brackish water.
Prediction of aeration efficiency of Parshall and Modified Venturi flumes: application of soft computing versus regression models
Authors: Sihag Parveen , Dursun Omer Faruk , Sammen Saad Shauket , Malik Anurag , Chauhan Anita 
Published: June 2021

AbstractIn this study, the potential of soft computing techniques, namely Random Forest (RF), M5P, Multivariate Adaptive Regression Splines (MARS), and Group Method of Data Handling (GMDH), was evaluated to predict the aeration efficiency (AE20) of Parshall and Modified Venturi flumes. Experiments were conducted for 26 various Modified Venturi flumes and one Parshall flume. A total of 99 observations were obtained from experiments. The results of soft computing models were compared with regression-based models i.e., with multiple linear regression (MLR) and multiple nonlinear regression (MNLR). Results of the analysis revealed that the MARS model outperformed other soft computing and regression-based models for predicting AE20 of Parshall and Modified Venturi flumes with Pearson's correlation coefficient (CC) = 0.9997, and 0.9992, and root mean square error (RMSE) = 0.0015, and 0.0045 during calibration and validation periods, respectively. Sensitivity analysis was also carried out by using the best executing MARS model to assess the effect of individual input variables on AE20 of both flumes. Obtained results on sensitivity examination indicate that the oxygen deficit ratio (r) was the most effective input variable in predicting the AE20 of Parshall and Modified Venturi flumes.
Drought indices: aggregation is necessary or is it only the researcher's choice?
Authors: Faiz Muhammad Abrar , Zhang Yongqiang , Ma Ning , Baig Faisal , Naz Farah , Niaz Yasir 
Published: June 2021

Abstract
Drought is a natural phenomenon caused by extreme and persistent precipitation shortage. This shortfall causes impacts on hydrology, agriculture, and the economy of a country. Secondly, drought/dryness has certain unique characteristics (severity, duration) among natural hazards which makes it difficult to classify the persistent and subjective network of impacts. Drought classification is important for managing drought, allowing both quantitative evaluation and potential risk assessment planning. The simpler approach of drought indices has made it easier for various researchers and organizations to classify drought. Several drought indices have been proposed at the national and global level to characterize hydrological, meteorological and agricultural droughts. Until now, there has been no widely agreed drought index among researchers. Therefore, researchers are trying to modify and reconstruct a simple, complete, and robust drought index for effective use and planning of the management of water resources. Due to the complex terrestrial ecosystem, researchers have integrated multiple drought indices for evaluation and monitoring of regional drought conditions. The reviewed composite or aggregated indices revealed that researchers are mainly focused on regional climatic and environmental conditions, and differences of theoretical backgrounds while integrating a drought index. There is a lack of performance evaluation of these indices because usually the comparative analysis between the integrated index and earlier developed composite indices is not performed. Secondly, the developer researchers did not mention limitations such as data, which is considered a paramount issue while applying these indices in other regions. Therefore, there is still comprehensive work needed for the simple integration of drought indices for general applications.
Larvicidal Activity of Green Synthesized Silver Nanoparticles and Chitosan Nanoparticles Encapsulated Aloe vera Gel Extract against Musca domestica (Diptera: Muscidae)
Authors: El-Monairy Olfat M. , El-Sayed Ahmed A. , Emara Manar M. , Abdel-Meguid Abla D. 
Published: June 2021

Background:There is a worldwide interest in metal nanoparticles synthesized by various chemical reactions for use in biomedical applications. These processes exhibit a broad range of toxicity in non-target organisms. To avoid chemical toxicity, green synthesis of metal nanoparticles is proposed as a cost-effective and eco-friendly alternative. Aloe vera (A. vera) leaf extract is a medicinal agent with multiple properties, including antibacterial effects. Its constituents include lignin, pectin and hemicellulose, which can be used in the reduction of silver ions to produce silver nanoparticles (AgNPs).Objective:The study aimed at the use of naturally occurring compounds as a reducing and stabilizing agent for the biosynthesis of nanoparticles and investigation of the insecticidal activity of these compounds against Musca domestica (M. domestica) larvae.Methods:Phytochemical analysis of A. vera gel extract was done and the phytochemical components were identified by Gas Chromatography–Mass Spectrometry (GC-MS) analysis. AgNPs and encapsulated Chitosan Nanoparticles (CsNPs) were prepared by an eco-friendly method using A. vera gel extract as a reducing and stabilizing agent. A. vera-AgNPs and A. vera encapsulated CsNPs were characterized using Ultraviolet-visible spectrophotometer (UV–vis spectrum), Transmission Electron Microscopy (TEM), Fourier-Transform Infrared Spectroscopy (FTIR) and X-ray Diffraction (XRD). Then the insecticidal activity of these compounds was investigated against late second instar larvae of the house fly.Results:The most active ingredients identified by GC-MS analysis were Terpene and Sesquiterpene hydrocarbons. The synthesized AgNPs were spherical with an average size of about 12-75 nm, as revealed by TEM. While encapsulated CsNPs ranged between 34-75 nm and the shape seemed spherical with dark parts confirming the encapsulated plant extract. FTIR and XRD results confirmed the successful encapsulation of the gel extract within the chitosan nanoparticles. Results proved the insecticidal potential of the tested compounds against M. domestica larvae, and the relative potency of encapsulated CsNPs was nearly 148.51 times more potent than A. vera crude extract whereas AgNPs was nearly 40.65 times more potent than A. vera crude extract. Furthermore, a prolongation of larval duration and reduction in the percentage pupation and adult emergence were observed.Conclusion:Overall, green-synthesized silver and chitosan nanoparticles have the potential for application as a biopesticide for house fly population control through the use of a safer and costeffective approach.
Development of a Digital Patient Education Tool for Patients With Cancer During the COVID-19 Pandemic
Authors: Turkdogan Sena , Schnitman Gabriel , Wang Tianci , Gotlieb Raphael , How Jeffrey , Gotlieb Walter Henri 
Published: June 2021

Background
Due to the COVID-19 pandemic, a large portion of oncology consultations have been conducted remotely. The maladaptation or compromise of care could negatively impact oncology patients and their disease management.

Objective
We aimed to describe the development and implementation process of a web-based, animated patient education tool that supports oncology patients remotely in the context of fewer in-person interactions with health care providers.

Methods
The platform created presents multilingual oncology care instructions. Animations concerning cancer care and mental health during the COVID-19 pandemic as well as immunotherapy and chemotherapy guides were the major areas of focus and represented 6 final produced video guides.

Results
The videos were watched 1244 times in a period of 6 months. The most watched animation was the COVID-19 & Oncology guide (viewed 565 times), followed by the video concerning general treatment orientations (viewed 249 times) and the video titled “Chemotherapy” (viewed 205 times). Although viewers were equally distributed among the age groups, most were aged 25 to 34 years (342/1244, 27.5%) and were females (745/1244, 59.9%).

Conclusions
The implementation of a patient education platform can be designed to prepare patients and their caregivers for their treatment and thus improve outcomes and satisfaction by using a methodical and collaborative approach. Multimedia tools allow a portion of a patient’s care to occur in a home setting, thereby freeing them from the need for hospital resources.
The Interplay Between Policy and COVID-19 Outbreaks in South Asia: Longitudinal Trend Analysis of Surveillance Data
Authors: Welch Sarah B , Kulasekere Dinushi Amanda , Prasad P V Vara , Moss Charles B , Murphy Robert Leo , Achenbach Chad J , Ison Michael G , Resnick Danielle , Singh Lauren , White Janine , Issa Tariq Z , Culler Kasen , Boctor Michael J , Mason Maryann , Oehmke James Francis , Faber Joshua Marco Mitchell , Post Lori Ann 
Published: June 2021

Background
COVID-19 transmission rates in South Asia initially were under control when governments implemented health policies aimed at controlling the pandemic such as quarantines, travel bans, and border, business, and school closures. Governments have since relaxed public health restrictions, which resulted in significant outbreaks, shifting the global epicenter of COVID-19 to India. Ongoing systematic public health surveillance of the COVID-19 pandemic is needed to inform disease prevention policy to re-establish control over the pandemic within South Asia.

Objective
This study aimed to inform public health leaders about the state of the COVID-19 pandemic, how South Asia displays differences within and among countries and other global regions, and where immediate action is needed to control the outbreaks.

Methods
We extracted COVID-19 data spanning 62 days from public health registries and calculated traditional and enhanced surveillance metrics. We use an empirical difference equation to measure the daily number of cases in South Asia as a function of the prior number of cases, the level of testing, and weekly shifts in variables with a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano–Bond estimator in R.

Results
Traditional surveillance metrics indicate that South Asian countries have an alarming outbreak, with India leading the region with 310,310 new daily cases in accordance with the 7-day moving average. Enhanced surveillance indicates that while Pakistan and Bangladesh still have a high daily number of new COVID-19 cases (n=4819 and n=3878, respectively), their speed of new infections declined from April 12-25, 2021, from 2.28 to 2.18 and 3.15 to 2.35 daily new infections per 100,000 population, respectively, which suggests that their outbreaks are decreasing and that these countries are headed in the right direction. In contrast, India’s speed of new infections per 100,000 population increased by 52% during the same period from 14.79 to 22.49 new cases per day per 100,000 population, which constitutes an increased outbreak.

Conclusions
Relaxation of public health restrictions and the spread of novel variants fueled the second wave of the COVID-19 pandemic in South Asia. Public health surveillance indicates that shifts in policy and the spread of new variants correlate with a drastic expansion in the pandemic, requiring immediate action to mitigate the spread of COVID-19. Surveillance is needed to inform leaders whether policies help control the pandemic.