bluuebunny/crossref_metadata_2025_split huggingface dataset:
COMPARATIVE EFFECTIVENESS OF INTERNAL AND EXTERNAL MONITORING SYSTEMS REGARDING MONITORING STUDENTS’ ATTENDANCE AT PRIMARY SCHOOL LEVEL IN DISTRICT BANNU
Authors: Khan Wali Ahmad , Ullah Mati , Khan Irfan Ullah , Altaf Muhammad , Shah Muzammil 
Published: July 2021

Purpose of the study: The key purpose of the study was to compare the effectiveness of Internal and External Monitoring systems regarding students’ attendance at primary school level Bannu.
Methodology: Descriptive survey design was used for this study. The data was taken from head Teachers through a self-developed questionnaire of the 6-Likert scale. According to John Curry (1984) Sample size rule of Thumb, out of N= 650, n= 65 respondents was taken from district Bannu. A simple random technique was used, and also validity and reliability of the instrument were making sure in this study. Data were analyzed through SPSS by using Mean, Std. Deviation and t-test.
Main Findings: The main findings of the existing study shown that the officials of external monitoring are better in monitor the students’ attendance, improving students’ attendance during routine monitoring, priority-based check-up of primary school students attendance during official visits, and pointing out of students absentees while the internal monitoring officials perform better only regarding “encouraging school staff to motivate the regular students with the proper award”.
Applications of this study: The existing study greatly significant for Educational administrators and monitoring departments, policymakers, Head Teachers, and the government which can find the real fact and issues about student attendance.
Novelty/Originality of this study: The current study is fairly new and unique in the field of education department of the monitoring system. The current study is the original research work of a researcher in the field of the education monitoring system of IMS and EMS/IMU.
Edukasi Penerapan Pola Hidup Bersih dan Sehat (PHBS) Sebagai Upaya Pencegahan Covid-19 di Dusun Tegalrejo, Kelurahan Begajah, Kecamatan Sukoharjo
Authors: Arninasari Aprilia Nur , Sutrisno Valiant Lukad Perdana 
Published: July 2021

Pola Hidup Bersih dan Sehat (PHBS) merupakan semua perilaku kesehatan yang dilakukan karena kesadaran pribadi sehingga keluarga dan seluruh anggotanya mampu menolong diri sendiri pada bidang kesehatan serta memiliki peran aktif dalam aktivitas masyarakat. Perilaku hidup bersih sehat pada masa pandemi Covid-19 memiliki manfaat yang sangat berpengaruh untuk mengubah kebiasaan hidup yang semakin lebih baik lagi dan dapat melindungi diri agar terhidar dari Covid-19 sehingga dengan adanya edukasi penerapan pola hidup bersih dan sehat dapat menambah pemahaman masyarakat terkait penerapan pola hidup bersih dan sehat seperti menggunakan masker, mencuci tangan, dan penggunaan hand sanitizer. Edukasi ini dilakukan secara langsung dengan membagikan masker dan hand sanitizer serta melalui media cetak seperti mmt maupun pamflet di dekitar RT 01 / RW 04, Desa Begajah dengan tetap mematuhi protokol kesehatan. Edukasi ini dilalukan sebagai program kerja kuliah kerja nyata (KKN) Covid-19.
Tumor-Derived miR-378a-3p-Containing Extracellular Vesicles Promote Osteolysis by Activating a Dyrk1a/Nfatc1/Angptl2 Axis for Bone Metastasis
Authors: Wang Jialin , Du Xinxing , Wang Xiao , Xiao Huixiang , Jing Nan , Xue Wei , Dong Baijun , Gao Wei-Qiang , Fang Yu-Xiang 
Published: July 2021

Abstract
Background
The majority of the deaths of prostate cancer (PCa) are caused by progression to bone metastatic PCa. The importance of extracellular vesicles (EVs) in the formation of the pre-metastatic niche has been demonstrated in recent years. However, whether and how tumor-derived EVs interact with bone marrow macrophages (BMMs) to release EV-delivered microRNAs to promote osteolysis and to activate pre-metastatic niche formation for PCa bone metastasis remain unclear.
Methods
Bioinformatics and qRT-PCR analyses were used to screen microRNAs and to identify the elevated expression of miR-378a-3p in both serum-derived EVs from PCa patients and in culture medium-derived EVs from PCa cell lines. Functional assays in vitro and in vivo were performed to investigate the functions of miR-378a-3p during PCa progression. IF staining and Dual-luciferase reporter, co-IP, western blot, RIP and ChIP assays were conducted to reveal the underlying mechanism.
Results
We found that EV-mediated release of miR-378a-3p from tumor cells was upregulated in bone-metastatic PCa which keeps a low intracellular concentration of miR-378a-3p, to promote proliferation and the MAOA-mediated epithelial-to-mesenchymal transition (EMT) in PCa cells. In addition, we demonstrated that the enrichment of miR-378a-3p in tumor derived EVs was induced by overexpression of hnRNPA2B1 as a transfer chaperone. After miR-378a-3p-enriched EVs were taken in by BMMs, elevated intracellular concentration of miR-378a-3p promoted osteolytic progression by targeting the Dyrk1a/Nfatc1 pathway. Mechanistically, inhibition of Dyrk1a by miR-378a-3p improved the nuclear translocation of Nfatc1 to promote expression of the downstream target gene Angptl2. As a feedback, increased secretion of Angptl2 into the tumor environment promoted PCa progression.
Conclusions
Our findings indicate that tumor-derived miR-378a-3p-containing EVs play a significant role in promoting prostate cancer bone metastasis by activating a Dyrk1a/Nfatc1/Angptl2 axis in BMMs to induce osteolytic progression, which implicates that miR-378a-3p may be a potential predictor of metastatic PCa. Moreover, reducing the release of miR-378a-3p-containing EVs or inhibiting the recruitment of miR-378a-3p into tumor-derived EVs might be a potential therapeutic strategy for PCa metastasis.
A Quantitative Analysis of Vocabulary Taught in Japanese EFL Textbooks
Authors: Nakayama Shusaku 
Published: July 2021

Abstract
This research evaluates vocabulary taught in government-approved Japanese EFL textbooks intended for senior high school students in two different ways: by calculating the proportion of high-frequency words in textbooks and by calculating how many types of core high-frequency words are taught in textbooks. To this end, vocabulary words in textbooks are compared to those in the New General Service List (NGSL), which consists of the top 2,801 high-frequency words in general English. Results show that textbooks are largely made up of words in the NGSL at a statistically significant level with larger than 92% lexical coverage; however, textbooks do not sufficiently cover words in the NGSL at a statistically significant level with up to 38%. Overall, research findings indicate that vocabulary words textbooks provide may be what learners frequently come across in the real world, but those words cannot suffice in order for learners to read English texts intended for native speakers. Therefore, language teachers need to give learners additional input of core words through homework or classroom activities to widen their vocabulary size.
Extracellular Vesicles Derived From Human Corneal Endothelial Cells Inhibit Proliferation of Human Corneal Endothelial Cells
Authors: Parekh Mohit , Rhys Hefin , Ramos Tiago , Ferrari Stefano , Ahmad Sajjad 
Published: July 2021

Abstract
Corneal endothelial cells (CEnCs) are a monolayer of hexagonal cells that are responsible for maintaining the function and transparency of the cornea. Damage or dysfunction of CEnCs could lead to blindness. Human CEnCs (HCEnCs) have shown limited proliferative capacity in vivo hence, their maintenance is crucial. Extracellular vesicles (EVs), are responsible for inter- and intra-cellular communication, proliferation, cell-differentiation, migration, and many other complex biological processes. Therefore, we investigated the effect of EVs (derived from human corneal endothelial cell line – HCEC-12) on corneal endothelial cells. HCEC-12 cells were starved with serum-depleted media for 72 hours. The media was ultracentrifuged at 100,000xg to isolate the EVs. EV counting, characterization, internalization and localization were performed using NanoSight, flow cytometry, Dil labelling and confocal microscopy respectively. HCEC-12 and HCEnCs were cultured with media supplemented with EVs. Extracted EVs showed a homogeneous mixture of exosomes and microvesicles. Cells with EVs decreased the proliferation rate; increased apoptosis and cell size; showed poor wound healing response in vitro and on ex vivo human, porcine, and rabbit CECs. Thirteen miRNAs were found in the EV sample using next generation sequencing. We observed that increased cellular uptake of EVs by CECs limit the proliferative capacity of HCEnCs. These preliminary data may help in understanding the pathology of corneal endothelial dysfunction and provide further insights in the development of future therapeutic treatment options.
Predicting Academic Failure: Estimating Semester Grade Point Average with Data Mining Methods
Authors: Yağcı Mustafa , Olpak Yusuf Ziya 
Published: July 2021

Abstract
This study proposes a new model to analyze the grade point averages (GPAs) in the previous semester using data mining algorithms and to predict the final GPAs that students may receive in the following semesters in three gradually expanding categories (department, faculty, and university). The performances of the Random Forest, Linear Regression, Support Vector Machines, and k-Nearest Neighbors algorithms, which are among the data mining algorithms, were calculated and compared to estimate the GPAs of the students at the end of the semester. This study focused on three parameters. The first was to predict academic performance with a single independent variable. The second was to compare the performance indicators of four algorithms. The third was to compare the predictions made in three different categories. All algorithms applied correctly classified the samples at rates varying between 92% and 94%. The proposed model correctly estimated students’ grade point averages at the end of the semester with an average deviation of 0.28 points over a 4 with a single variable. Students with a high risk of failure can be determined in advance by estimating their final grade point averages.
AKUNTAN 4.0: RODA PENGGERAK NILAI KEBERLANJUTAN PERUSAHAAN MELALUI ARTIFICIAL INTELLIGENCE & TECH ANALYTICS PADA ERA DISRUPTIF
Authors: Azzahra Belinda 
Published: July 2021

ABSTRACT Accountants has significant role to achieve corporate sustainability. However, with the advancement of technology, the existence of accountants starts to be questioned. According to a survey conducted by Osborne and Frey in 2013, University of Oxford, accountants has 94% chances to be replaced in the future. Based on these data, accountants are now entering the new era of disruption, which is provable by the existence of artificial intelligence. The future of business and accountants are entering grey area and sustainability is the most vital things to be discussed for now. To challenge the status quo, it is demanded for research about the role of accountant as value driver in digital era. In the future, young accountants must act as catalysts of value for business to ensure that every stakeholder get benefit. Therefore, at least there are five strategies that accountants could prepare, which are: understanding of business acumen, technological savvy, storytelling skill, fundamental data skill, and strategic thinking skill. I believe with these five strategies, accountants profession will still exist and not being the ‘disrupted’ but the ‘disruptor’ of Industrial Revolution 4.0 era.Keywords: accountants, artificial intelligence, corporate sustainability, disruptive era, value-driven ABSTRAK Akuntan memiliki peran penting untuk mencapai keberlanjutan perusahaan. Namun dengan kemajuan teknologi, keberadaan akuntan mulai dipertanyakan. Menurut survei yang dilakukan oleh Osborne dan Frey pada tahun 2013, Universitas Oxford, akuntan memiliki peluang 94% untuk diganti di masa depan. Berdasarkan data tersebut, akuntan kini memasuki era baru disrupsi, yang dibuktikan dengan adanya kecerdasan buatan. Masa depan bisnis dan akuntan memasuki wilayah abu-abu dan keberlanjutan adalah hal yang paling vital untuk dibahas untuk saat ini. Untuk menantang status quo, diperlukan penelitian tentang peran akuntan sebagai value driver di era digital. Di masa depan, akuntan muda harus bertindak sebagai katalis nilai bagi bisnis untuk memastikan bahwa setiap pemangku kepentingan mendapatkan manfaat. Oleh karena itu, setidaknya ada lima strategi yang dapat disiapkan akuntan, yaitu: pemahaman business acumen, technology savvy, storytelling skill, fundamental data skill, dan strategic thinking skill. Saya yakin dengan lima strategi ini, profesi akuntan akan tetap eksis dan bukan menjadi ‘didisrupsi’ melainkan ‘pengganggu’ era Revolusi Industri 4.0.Kata kunci: akuntan, kecerdasan buatan, keberlanjutan perusahaan, era disrupsi, value-driven
MANAJEMEN LABA, PENGUNGKAPAN CORPORATE SOCIAL RESPONSIBILITY DAN SUSTAINABILITY REPORTING PERUSAHAAN MANUFAKTUR DI BEI
Authors: Murni Sofiani , Ayem Sri 
Published: July 2021

ABSTRACTThe aim of this research is to obtain empirical evidence about the effects of earnings management and disclosure of Corporate Social Responbilty to Sustainability Reporting. Corporate Social Responbilty calculated with a control variable that is leverage, Growth, Roa and Sustainability Reporting projected with sustainability reporting disclosure index with is based on reporting standards Global Reporting Initiative (GRI) that the company discloses in annual reports and ongoing reports. The population in this study is all sub-sectors of manufacturing companies in Indonesia stock exchange (BEI). The total sample is 100 companies selected using the purposive sampling method issued annual reports for the period 2014-2018. Data to be tested using multiple linear regression analysis. The results of this research are: (1) Earnings management has a significant positive effect on sustainability reporting. (2) Leverage positively influences sustainability reporting. (3) Growth growth has a positive effect on sustainability reporting. (4) ROA has a positive effect on sustainability reporting.Keywords: earning management leverage, growth, ROA, sustainability reporting ABSTRAKPenelitian ini bertujuan untuk memperoleh bukti empiris mengenai pengaruh Manajemen Laba dan Pengungkapan Corporate Social Responsibility terhadap Sustainability Reporting. Corporate Social Responsibility dihitung dengan variabel control yaitu leverage, growth, ROA dan sustainability reporting diproyeksikan dengan sustainability reporting disclosure index yang didasarkan pada standar pelaporan Global Reporting Intitative (GRI) yang diungkapkan perusahaan dalam laporan tahunan dan laporan berkelanjutan. Populasi dalam penelitian adalah semua sub sector perusahaan manufaktur di bursa efek Indonesia (BEI). Total sampel adalah 100 perusahaan yang dipilih menggunakan metode purposive sampling yang mengeluarkan laporan tahunan selama periode tahun 2014-2018. Data untuk diuji dengan menggunakan analisis regresi linear berganda. Hasil dari penelitian ini adalah: (1) Manajemen laba berpengaruh positif signifikan terhadap sustainability reporting, (2) Leverage berpengaruh positif terhadap sustainability reporting, (3) Growth berpengaruh positif terhadap sustainability reporting. (4) ROA berpengaruh positif terhadap sustainability reporting.Kata kunci: manajemen laba, leverage, growth, ROA, sustainability reporting
From site-focused intervention towards landscape-scale surface water management using Synthetic Stream Networks and Rapid Scenario Screening
Authors: Webber J. L. , Wigley S. , Paling N. , Kapelan Z. , Fu G. 
Published: July 2021

Abstract
This research addresses the need to transform success in technical understanding and practical implementation of surface water management (SWM) interventions at a site-scale towards integrated landscape-scale management. We achieve this through targeting the informative preliminary stages of strategic design, where broad, early and effective exploration of opportunities can enhance and direct a regional SWM perspective. We present a new method, ‘Synthetic Stream Networks’ (SSN), capable of meeting these requirements by taking advantage of easily accessible data, likely to be available during regional screening. We find that results from the SSN are validated by existing, ‘downstream’ focused data (90% of the river network is within 30 m of an associated SSN flow path), with the added advantage of extending understanding of surface water exceedance flow paths and watersheds into the upper catchment, thus establishing a foundational and physically based sub-catchment management unit exploring surface water connectivity at a catchment and landscape scale. We also demonstrate collaborative advantages of twinning the new SSN method with ‘Rapid Scenario Screening’ (RSS) to develop a novel approach for identifying, exploring and evaluating SWM interventions. Overall, we find that this approach addresses challenges of integrating understanding from sub-catchment, catchment and landscape perspectives within surface water management.
Achieving Sustainable Development Goals in water and sanitation sectors in India
Authors: Sarkar S. K. , Bharat Girija K. 
Published: July 2021

AbstractIndia, with over 1.37 billion population and housing one-sixth of the world's inhabitants, has a significant role to play in the achievement of the Sustainable Development Goals (SDGs). This paper analyses the policies and programmes of the Government of India, towards the achievement of Targets 6.1 and 6.2 of SDG-6 that focus on safe drinking water and sanitation. The alignment of the policies and programmes is discussed in correlation of the output, outcome, and impacts on these targets of SDG 6. The Swachh Bharat (Clean India) Mission (SBM) launched in 2014 led the country with more than 98% of households having access to toilets. The Jal Jeevan Mission has the ambitious target of universal coverage of drinking water supply. While these programmes have led to the overall development, a vast scope of improvement in these sectors exists especially considering the growing population, economic activity, urbanisation, and climate change impacts. Analysis also shows that adequate quantitative and qualitative data on the implementation of the various policies and programmes would be instrumental in synergising the implementation of the SDGs. A systems-thinking approach for sustaining the efforts of the ongoing programmes and ensuring equitable benefits of development in the water and sanitation sectors in India is recommended.
Evaluation of the CMIP5 general circulation models for simulating the precipitation and temperature of the Koshi River Basin in Nepal
Authors: Pradhan Pragya , Shrestha Sangam , Sundaram S. Mohana , Virdis Salvatore G. P. 
Published: July 2021

AbstractThis study evaluates the performance of 12 different general circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5) to simulate precipitation and temperature in the Koshi River Basin, Nepal. Four statistical performance indicators: correlation coefficient, normalised root-mean-square deviation (NMRSD), absolute NMRSD, and average absolute relative deviation are considered to evaluate the GCMs using historical observations. Seven different climate indices: consecutive dry days, consecutive wet days, cold spell duration index, warm spell duration index, frost days, very wet days, and simple daily intensity index are considered to identify the most suitable models for the basin and future climate impact assessment studies. Weights for each performance indicator are determined using the entropy method, with compromise programming applied to rank the GCMs based on the Euclidian distant technique. The results suggest that CanESM2 and CSIRO-MK3.6.0 are the most suitable for predicting extreme precipitation events, and BCC-CSM 1.1, CanESM2, NorESM1-M, and CNRM-CM5 for extreme temperature events in Himalayan river basins. Overall, IPSL-CM5A-MR, CanESM2, CNRM-CM5, BCC-CSM 1.1, NorESM1-M, and CSIRO-Mk3.6.0 are deemed suitable models for predicting precipitation and temperature in the Koshi River Basin, Nepal.
Leakage localization using pressure sensors and spatial clustering in water distribution systems
Authors: Li Xin , Chu Shipeng , Zhang Tuqiao , Yu Tingchao , Shao Yu 
Published: July 2021

AbstractLeakages in water distribution systems (WDSs) are a worldwide problem, which can result in an intolerable burden in satisfying the water demands of the consumers. There is an urgent demand to develop technologies that can detect and localize the leakage in a timely and efficient manner. The monitoring data of the WDS is a typical time series, and there is a certain spatiotemporal correlation between the data provided by the devices distributed at different locations of the WDS. This paper proposes a novel model-based method for WDS leakage localization. The method is characterized by (1) developing the dominant sensor sequence for each candidate leakage node to improve the localization accuracy based on the spatial correlation analysis; (2) utilizing multiple time steps of the measurements which are temporal varying correlated; (3) ranking leakage regions and nodes by their possibility to contain the true leakage. A realistic WDS is used to evaluate the performance of the method. Results show that the method can accurately and efficiently localize the leakage.
Evaluation of testing procedures for real-scale sewage pipes
Authors: Ulutaş S. , Wichern M. , Bosseler B. 
Published: July 2021

AbstractTests to determine the tightness of wastewater pipes can in some cases produce results that are worthy of discussion. Therefore, testing procedures for real-scale sewage pipes used for house connections were evaluated and data were statistically analysed. The results of the investigation showed that leaky pipes are detected with a very high degree of reliability by all leak test methods. The test methods are also robust against errors by expert testers and deviations from the test specifications. In contrast, tight pipelines can also be incorrectly classified as ‘leaking’ (test failed) to a significant extent during leak tests. Even for the more reliable test methods, i.e. air overpressure, air underpressure and water with low test pressure, a tight pipe is incorrectly classified as leaking (false positive) in one out of 10 cases (10%). The highest false-positive rate was 20% for water with high test pressure. In addition to the leak test methods, the quality of the visual inspection was also analysed. Here it was found that visual inspection is not sufficiently reliable for determining the tightness of pipelines above the groundwater level. Error rates of approximately 50% were found for the detection of tight and leaky pipelines.