bluuebunny/crossref_metadata_2025_split huggingface dataset:
THE STRATEGY OF PRINCIPALS IN DEVELOPING THE SCHOOL QUALITY: A CASE STUDY AT INTEGRATED ISLAMIC ELEMENTARY SCHOOL
Authors: Ghofur M Abdul 
Published: August 2022

Schools Quality is the hope and demand of all education partners. Everyone wants to find information in organizations that have great quality. Because of this, schools or educational organizations should have the option to offer great support and quality so as not to give up and be ready to compete with other schools. This study aims to illustrate the principal's strategy in developing the quality of Islamic elementary schools in Integrated Islamic Elementary School of Iqro Karangploso Malang. This type of research uses qualitative methods. Data were collected through observation, interviews, and documentation. The results of this study indicate that the principal's strategy in developing the quality of education includes 1) formulating a plan with a vision, short-term mission, and medium-term goals (4 years); 2) implementing strategies by increasing discipline, increasing student's national exam results, conducting extracurricular activities, establishing cooperation with the community.Keywords: Principal Strategy; Quality; Education.
Self Marketing Lansia-Preneur melalui Pendekatan Symbolic Interactionism di Lumajang
Authors: Latifa Isnaini Putri Nur 
Published: August 2022

Kompleksitas kebutuhan hidup seorang aktor sosial menuntut setiap orang untuk mengambil keputusan yang tepat dalam kaitannya dengan pemenuhan kebutuhan agar dapat menunjang kepastian hidup secara efektif dan bernilai guna. Self marketing adalah salah satu upaya yang dapat dilakukan oleh seorang yang telah lanjut usia (lansia) sebagai penunjang kepastian kehidupan. Penelitian ini bertujuan untuk mengetahui lansia memaknai kegiatan wirausaha dan untuk mengetahui pola self marketing lansia preneur di Lumajang. Jenis penelitian ini merupakan penelitian kualitatif deskriptif. Penentuan informan dalam penelitian menggunakan metode purposive. Metode analisis data menggunakan empat Langkah, yaitu pengumpulan data (data collection), data kondensasi (condensation data), penyajian data (data display), dan conclusion. Penelitian ini menyimpulkan bahwa terdapat berbagai makna wirausaha bagi lansia diantaranya yaitu wirausaha sebagai pemenuhan kebutuhan ekonomi, sebagai bentuk resiliensi kualitas kesehatan, dan sebagai ibadah. Adapun mengenai pola self marketing yang berhasil ditemukan yakni sebagai optimalisasi simbol dalam mempengaruhi perilaku konsumen, penentuan tempat usaha sebagai penunjang citra kontras kelas sosial, dan liniearitas produk usaha lansia dengan produk lokal dan tradisonal.
Repurchase Intention of Halal Cosmetic Product Among Muslim Consumers: The Roles of Islamic Branding, Halal Awareness, and Trust
Authors: Rahmawaty Anita , Rakhmawati Ita 
Published: August 2022

<p>This study aims to examine the effects of Islamic branding and halal awareness on trust and repurchase intention. It also investigates the roles of trust in mediating the effects of Islamic branding and halal awareness towards repurchase intention of halal cosmetic products in Kudus regency. The research data is elicited from 275 Muslim consumers of halal cosmetic products in Kudus. The analysis technique of the collected data uses <em>Partial Least Squares Path Modeling </em>(PLS-SEM). The study finding shows that Islamic branding and halal awareness significantly affect consumers’ trust and repurchase intention in positive ways. Trust mediates the effects of Islamic branding and halal awareness towards repurchase intention of halal cosmetic products in Kudus. The finding also intends to contribute to Sharia business players comprehending the factors that improve trust and repurchase intention towards the halal cosmetic products for their business development. </p>
Optimalisasi Manajemen Berbasis Sekolah dalam Peningkatan Kualitas Sumber Daya Manusia pada MTsN 1 Ponorogo
Authors: Pangesti Pangesti Wahyuningtyas , Hanifuddin Iza 
Published: August 2022

Abstrak
Dalam pendidikan, manajemen berbasis sekolah memberikan kewenangan kepada sekolah untuk mandiri dalam mengembangkan kualitas sekolah sesuai dengan potensi yang dimiliki sekolah. Penelitian ini dilatar belakangi oleh kondisi MTsN 1 Ponorogo yang sudah menerapkan manajemen berbasis sekolah dalam menyelenggarakan berbagai pengembengan pada program madrasah. Tujuan penelitian ini adalah mendeskrpsikan pemahaman warga sekolah terkait manajemen berbasis sekolah, mendeskripsikan implementasi manajemen berbasis sekolah dalam peningkatan kualitas sumber daya manusia, mendeskrpsikan optimalisasi manajemen berbasis sekolah dalam meningkatkan kualitas sumber daya manusia. Metode penelitian ini menggunakan jenis peelitian kualitatif. Subjek dalam penelitian ini kepala madrasah, waka madrasah, dan guru. Teknik pengumpulan data menggunakkan observasi, wawancara dan dokumentasi. Analisis data dengan triagulasi yang dimulai dari reduksi data, penyajian data sampai pada penarikan kesimpulan. Hasil penelitian menunjukkan bahwa pemahaman warga sekolah terkait mnajemen berbasis sekolah terdiri dari kearifan lokal, kerjasama, output yang berdaya saing, transparansi, partisipasi masyarakat. Implementasi manajemen berbasis sekolah dalam peningkatan kualitas sumber daya manusia diakukan kepala madrasah dengan langkah-langkah kaidah penerapan manajemen berbasis sekolah dari tahap perencanaan sampai pada tahap evaluasi yang dilakukan secara berkesinambungan. Optimalisasi manajemen berbasis sekolah dalam peningkatan kualitas sumber daya manusia dilakukan dengan kepala madrasah dan seluruh stakeholder melakukan kreativitas dan inovasi pengembangan madrasah.
Synthesis and Evaluation of the Suitability of Using Lagenaria Siceraria Biodiesel in Oil Based Muds
Authors: Azuokwu Augustine Azubike , Yerima Yakubu , Azike Rowland Ugochukwu , Igbafe Anselm Iuebego 
Published: August 2022

Abstract
The search for suitable biodiesel for formulating oil based muds for deep high-temperature wells, deviated offshore wells and sensitive shale formation have intensified over the years. The reasons behind the continuous search are in two folds. First, conventional diesel used in formulating oil-based muds are fossil based, costly, non-renewable and detrimental to environment. Secondly, previous attempts to use biodiesels proved to be more expensive than the conventional diesel.
In this study, biodiesel was produced from oil extracted from Lagenaria siceraria seeds. The suitability of using the synthesized Lagenaria siceraria biodiesel in oil-based muds was evaluated. The evaluation involved comparing the properties of the synthesized Lagenaria siceraria biodiesel and its drilling muds against those of the conventional diesel and some commonly used plant seed oil based biodiesels. In addition, the economic viability of the use of the synthesized Lagenaria siceraria biodiesel in oil-based muds was evaluated and compared against those of the conventional diesel and the commonly used plant seed oil based biodiesels.
The physiochemical properties of the synthesized Lagenaria siceraria biodiesel showed that it has a better potential to replace the conventional diesel. Result of mud properties and toxicity tests also showed that the synthesized Lagenaria siceraria biodiesel has a better potential to replace the conventional diesel. Although, conventional diesel is cheaper than the Lagenaria siceraria biodiesel and the commonly used plant seed oil based biodiesels, economic analysis showed that it is cost effective to use the Lagenaria siceraria biodiesel.
Comparative Study of Predictive Models for Permeability from Vertical wells using Sequential Gaussian Simulation and Artificial Neural Networks
Authors: Rotimi Oluwatosin John , Akande Ayodeji Michael , Ihekona Betty , Iyamah Oseremen , Chukwuka Somto , Liang Yao , Zhenli Wang , Ologe Oluwatoyin 
Published: August 2022

Abstract
This study attempts to estimate permeability from well logs data and also predict values from existing rock sections to points that are missing using Artificial Neural Network (ANN) and Sequential Gaussian Simulation (SGS). Potentially, exploration data is prone to trends that are initiated by the sedimentation process, but a detrending method using Semi-variogram (vertical) algorithm was applied to remove this from the interpreted wells which are all vertical. Permeability modeled for ANN gave an estimated root mean square error (RMSE) of 0.0449, while SGS gave RMSE of 0.1789, both giving a ‘K’ range of 100 – 1000 mD. Although the spatial geology of the area was relegated and not considered, making a spatial prediction influenced from the temporal reference point un-assessable. However, the independent prediction on the overall result shows a better prediction from the ANN, perhaps due to the optimization algorithm used.
Statistical characterization of tactile scenes in three-dimensional environments reveals filter properties of somatosensory cortical neurons
Authors: Zweifel Nadina , Solla Sara , Hartmann Mitra 
Published: August 2022

Abstract
Natural scenes statistics have been studied extensively using collections of natural images and sound recordings. These studies have yielded important insights about how the brain might exploit regularities and redundancies in visual and auditory stimuli. In contrast, natural scenes for somatosensation have remained largely unexplored. Here we use three-dimensional scans of natural and human-made objects to quantify natural scene statistics at the scale of the human fingertip. Using measurements of distance, slope, and curvature from the object surfaces, we show that the first order statistics follow similar trends as have been observed for images of natural and human-made environments. In addition, independent component analysis of curvature measurements reveals Gabor-like basis vectors similar to those found in natural images. A simple neural model using these filters showed responses that accurately capture the statistics of responses in primate primary somatosensory cortex.
Improving awareness of kidney function through electronic urine output monitoring: a comparative study
Authors: Murad Omar , Cruz Daniel F Orjuela , Goldman Aliza , Stern Tal , Heerden Peter Vernon van 
Published: August 2022

Abstract
Background
The current classification for acute kidney injury (AKI) according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria integrates both serum creatinine (SCr) and UO. Most reports on AKI claim to use KDIGO guidelines but fail to include the UO criterion. It has been shown that patients who had intensive UO monitoring, with or without AKI, had significantly less cumulative fluid volume and fluid overload, reduced vasopressor use, and improved 30-day mortality. We examined whether real-time monitoring of this simple, sensitive, and easy-to-use biomarker in the ICU led to more appropriate intervention by healthcare providers and better outcomes.
Methods
RenalSense Clarity RMS Consoles were installed in the General ICU at the Hadassah Medical Center, Israel, from Dec 2019 to Nov 2020. Using its Sensor Kit, the system continuously monitors UO in real-time. 100 patients were randomly selected from this period as the study group (UOreal-time) and compared to a matched control group (UOmanual) from the same period two years earlier. To test whether there was an association between oliguric hours and fluid treatment in each group, the correlation was calculated and analyzed for each of the different UO monitoring methods.
Results
Therapeutic intervention: The correlation of the sum of all oliguric hours on Day 1 and 2 with the sum of any therapeutic intervention (fluid bolus or furosemide) showed a significant correlation for the study group UOreal-time (P = 0.017). The matched control group UOmanual showed no such correlation (P = 0.932). Length of Stay (LOS): Median LOS [IQR] in the ICU of UOreal-time versus UOmanual was 69.46 [44.7, 125.9] hours and 116.5 [62.46, 281.3] hours, respectively (P = 0.0002). Conclusions: The results of our study strongly suggest that ICU patients had more meaningful and better medical intervention, and improved outcomes, with electronic UO monitoring than with manual monitoring.
Implications for future policy implementation: a qualitative evaluation of the national rollout of a diabetes prevention programme in England.
Authors: Brunton Lisa , Soiland-Reyes Claudia , Wilson Paul 
Published: August 2022

Abstract
Background
The National Health Service Diabetes Prevention Programme (NHS DPP) was commissioned by NHS England in 2016 and rolled out in three ‘waves’ across the whole of England. It aims to help people with raised blood glucose levels reduce their risk of developing type 2 diabetes through behaviour change techniques (e.g. weight loss, dietary changes and exercise). We report findings from interviews with designated local leads, responsible for the local commissioning and implementation of the programme, to explore how local implementation processes were enacted and adapted over time.
Methods
We conducted a telephone interview study across two time-points. We conducted 24 semi-structured interviews with local leads across 19 sampled case sites between October 2019 and January 2020. We conducted 13 interviews with local leads across 13 sampled case sites between July 2020 and August 2020. Interviews aimed to reflect on the experience of implementation and explore how things changed over time; this included how implementation plans changed in the light of the COVID-19 pandemic.
Results
We identified five overarching themes to show how implementation was locally enacted and adapted across the sampled case sites: 1. Adapting to provider change; 2. Identification and referral; 3. Enhancing uptake in underserved populations; 4. Digital and remote service options and 5. Impact of COVID-19 pandemic on implementation.
Conclusion
This paper reports how designated local leads, responsible for local implementation of the NHS DPP, adapted implementation efforts over the course of a changing national diabetes prevention programme, including how implementation and delivery of the programme was impacted during the COVID-19 pandemic. This paper highlights three main factors that influence implementation: the importance of facilitation, the ability (or not) to tailor interventions to local needs and the role of context in implementation.
Push out bond strength and dentinal penetration of a novel herbal based pulp capping agent: An in Vitro study
Authors: Hamdy Mai , gendy Huda El , Sharaan Marwa 
Published: August 2022

Abstract
Background: The purpose of this study was to compare the effectiveness of grape seed extract (GSE) and Mineral trioxide aggregate (MTA) to penetrate to dentin and their push-out bond strength at two time intervals (1 and 3 months) when used as pulp capping agents either singly or combined to each other. Materials and Methods:This study was conducted on 120 human single-rooted anterior teeth. Sixty dentin discs were randomly divided into three groups (n=20) based on the material used; MTA, GSE, and a combination of MTA and GSE. A universal testing machine was used to determine the push-out bond strength for one and three months. At the same time intervals, extra 60 teeth with the same groups were utilized to quantify the degree of capping material penetration within the dentinal tubules using scanning electron microscopy (SEM). ANOVA with multiple comparison Post hoc test was used to evaluate the data where the p value was < 0.05. Results: MTA had the highest push-out bond strength and penetration depth measurement into dentinal tubules at one month, followed by MTA combined with GSE, while GSE had the lowest push-out bond strength and penetration depth measurement. Nevertheless, GSE had the greatest values in both tests at 3 months, followed by MTA, while MTA coupled with GSE had the lowest value in both tests. Conclusion: Push out bond strength and dentinal penetration depth were improved with time except for the MTA group testing its dentinal penetration depth. GSE shows good push out bond strength and dentinal penetration depth.
Translocation of a single Arg9 peptide across a DOPC/DOPG(4:1) model membrane using the weighted ensemble method
Authors: Choe Seungho 
Published: August 2022

Abstract
A spontaneous translocation of cell-penetrating peptides(CPPs) in all-atom molecular dynamics(MD) simulations is not expected within a short time scale (e.g., a few hundred ns) because
it is believed that the time required for the translocation of usual CPPs is on the order of minutes. In this study, we report a single Arg9(R9) peptide translocation across a DOPC/DOPG(4:1) model membrane within an order of a few tens ns scale by using the weighted ensemble(WE) method, one of the most powerful and flexible path sampling techniques. We present free energy profiles of the translocation across the membrane and identify how water molecules play a role during the translocation. We also show how the orientation of Arg9 affects the translocation and how lipid molecules were transported along with Arg9. Our approach can help study interactions of CPPs with various model membranes within MD simulation approaches.
Physical Urban Area Identification Based on Vector Buildings and Quantitative Attribution of Optimal Distance Threshold: A Case Study in Chongqing Municipality, Southwestern China
Authors: Wang Dan , Kong Liang , Chen Zhongsheng , Yang Xia , Luo Mingliang 
Published: August 2022

Abstract
The physical urban area is not artificially delimited, and reflects the objective distribution of the spatial scope of the urban area. It is the basis of the accurate distinction between cities and villages. Although there are many methods that have studied and explained the physical urban area to a certain extent, the influencincg factors of identification threshold are not studied deeply. In this paper, 22 administrative districts in central and western Chongqing Municipality are taken as the research object. Based on vector building data, the urban expansion curve method is used to identify the optimal distance threshold to extract the physical urban area of Chongqing Municipality. And the geographical detector technique is used to detect respectively that how and to what extent the urban spatial structure factors, geographical environment factors and social economic factors affect the optimal distance threshold of 22 administrative districts. The results show that the optimal distance threshold for identifying physical urban area of Chongqing Municipality based on the vector building is 146m, and the physical urban area is 1598.43km2, with the error of 2.1% compared with the built-up area. Taking 22 administrative districts as the individual research objects, it is found that the road network density and building density in urban spatial structure factors, urbanization rate and urban population density in socio-economic factors, and their interaction with regional GDP play a critical role in the optimal distance threshold, and the index value of influence degree ≥ 0.79. Under the influence of different factors, the optimal distance thresholds of 22 administrative districts show adaptive characteristics. Looking forward to the future, this study provides a reference for further research on the morphological characteristics and distribution laws of multi-scale cities.
Machine Learning Based PV Power Prediction Using Different Environmental Parameters of Turkey
Authors: İçel Yasin , Gursoy Mehmet Ismail 
Published: August 2022

Abstract
The prediction of photovoltaic power generation provides the basis for the generation, transmission, and distribution systems of electrical energy, ensuring the establishment of uninterrupted and reliable energy systems. In the present study, environmental parameters and power values produced from photovoltaic panels were measured and recorded for 1 year with the measurement stations established in three different regions (Adıyaman-Malatya-Şanlıurfa) in terms of environmental parameters. Modeling has been developed for the power estimation to be produced using the MLP, CNN, LSTM, Stacked LSTM, Bidirectional LSTM, and CNN-LSTM methods on the extensive dataset. Predictions were obtained from the developed models with an accuracy rate of 98.9%, 98.6%, 95.1%, 95.0%, 95.0%, and 84.9%, respectively. As a result of the study, it has been seen that all of the proposed methods are successful for the problems of PV power prediction. In addition, it has been determined that the success rate of MLP and CNN methods is superior to other methods. Thus, with the developed forecasting models, PV power prediction for photovoltaic power systems desired to be installed by using environmental parameters belonging to different regions in any part of the world can be estimated with a high degree of accuracy.
HvNCX, a prime candidate gene for the novel qualitative locus qS7.1 controlling salinity tolerance and Na+ exclusion in wild barley
Authors: Zhu Juan , Zhou Hui , Fan Yun , Guo Yu , Zhang Mengna , Shabala Sergey , Zhao Chenchen , Lv Chao , Guo Baojian , Wang Feifei , Zhou Meixue , Xu Rugen 
Published: August 2022

Abstract
Soil salinity is one of the major abiotic stresses affecting crop yield. Developing salinity-tolerant varieties is critical for minimizing economic penalties caused by salinity and providing solutions for global food security. Many genes/QTL for salt tolerance have been reported in barley but only a few of them have been map-cloned. In this study, a total of 163 doubled haploid lines from a cross between a cultivated barley variety Franklin and the wild barley accession Tam407227 were used to map QTL for salinity tolerance. Two major QTL for salinity tolerance were identified on chromosomes 5H (qS5.1) and 7H (qS7.1), accounting for 11.7% and 27.8% of the phenotypic variation, respectively. Two QTL for Na+ content in leaves under salinity stress were detected on chromosomes 1H (qNa1.1) and 7H(qNa7.1). qS7.1 was fine-mapped to a 2.46 Mb physical interval using F4 recombinant inbred lines (RILs). This region contains 23 high-confidence genes, with HvNCX which encodes a sodium/calcium exchanger being most likely the candidate gene. The HvNCX was highly induced by salinity stress and showed a greater expression level in a sensitive variety. cDNA sequencing of the HvNCX revealed that the difference between the two parents is conferred by a single Ala77Pro amino acid substitution, which is located on the transmembrane domain. These findings open new prospects for improving salinity tolerance in barley by targeting a previously unexplored trait.