bluuebunny/crossref_metadata_2025_split huggingface dataset:
Komparasi Kinerja Keuangan Bank Syariah Indonesia dan Bank Syariah Malaysia Pada Masa Pandemi Covid-19
Authors: Yoga Raunaqa  , Al Risna Deva Dea , Fadlullah Hana Kharis 
Published: September 2022

Abstract:
Financial performance is an important factor for maintaining the health of banks, but the Covid-19 has greatly impacted the economic sector, one of which is banking. The purpose of this study was to find out how the financial performance of Bank Syariah Indonesia and Bank Maybank Berhard Malaysia in 2020-2021 during the covid 19 pandemic. The method used in this study was a quantitative method using descriptive analysis and financial ratio analysis tools, namely the independent paired T-test. The data collection technique is to collect secondary data in the form of an annual report (annual hassle) of financial performance during the COVID-19 pandemic published by the Indonesian Islamic bank or the Financial Services Authority (OJK) and the official website of the Islamic bank Maybank Islamic Berhad Kuala Lumpur. The results showed that there was no significant difference in the financial performance of Indonesian Islamic banks and Malaysian banks with maybanks from the financial ratios of CAR, ROA, ROE, FDR, NPF, and BOPO during the COVID-19 pandemic from 2020-2021. The results of this study provide recommendations that the management of Indonesian Islamic banks and Malaysian banks maybank hard to be able to maintain and further improve their already good financial performance.
Keywords: Comparison, Financial Performance, Covid 19

Abstrak:
Kinerja keuangan merupakan faktor yang penting untuk mejaga kesehatan bank, tetapi dengan adanya covid-19 ini sangat berdampak pada sektor ekonomi salah satunya perbankan . tujuan penelitian ini adalah untuk mengetahui bagaimana kinerja keuangan Bank Syariah Indonesia dan Bank Maybank Berhard Malaysia tahun 2020-2021 pada masa pandemi covid 19. Metode yang digunakan dalam penelitian yaitu metode kuantitatif dengan menggunakan analisis deskriptif dan alat analisis rasio keuangan yaitu uji independent paired T-test. Teknik perolehan data yaitu mengumpulkan data-data sekunder yang berupa laporan tahunan (annual repot) kinerja keuangan selama pandemi covid-19 yang diterbitkan oleh bank syariah Indonesia atau Otoritas Jasa Keuangan (OJK) dan website resmi bank syariah Maybank Islamic Berhad Kuala lumpur. Hasil penelitian menunjukkan bahwa tidak terdapat perbedaan yang signifikan kinerja keuangan bank syariah Indonesia dan bank maybank berhard Malaysia dari rasio keuangan CAR, ROA, ROE,FDR, NPF, dan BOPO selama masa pandemi covid 19 dari tahun 2020-2021. Hasil penelitian ini memberikan rekomendasi bahwa manajemen bank syariah Indonesia dan bank maybank berhard Malaysia untuk dapat mempertahankan dan lebih meningkatkan kinerja keuangannya yang sudah baik.
Kata Kunci: Perbandingan, Kinerja keuangan, Covid 19
Blood Lead Level Testing and Retesting Among Newly Arriving Refugee Children, Pennsylvania, 2015–2019
Authors: Anil Leena , Ma Zhen-qiang , Nambiar Atmaram , Watkins Sharon M. 
Published: September 2022

Objectives. To (1) determine the prevalence of elevated blood lead levels (EBLLs; ≥ 5 µg/dL) among newly arrived refugee children, (2) understand the demographic characteristics of refugee children with EBLLs, and (3) assess health care providers’ compliance with Centers for Disease Control and Prevention (CDC) recommendations for retesting. Methods. We matched refugee demographic data (2015–2019) from the CDC’s Electronic Disease Notification (EDN) system with lead-testing laboratory report data from the Pennsylvania National Electronic Disease Surveillance System using Match*Pro software. Results. Of 3833 refugee children 16 years or younger in the EDN system, matching identified 3142 children with blood lead level data. Among children with blood lead level data, 578 (18.4%) had EBLLs. Among children with EBLLs, 341 (59.0%) were male. Of the 1370 children aged 6 years or younger with blood level test results, 335 (24.5%) had initial EBLLs, and only 78 (5.7%) were retested within 3 to 6 months. Of the 335 children 6 years or younger with an initial EBLL, only 44 (13.1%) were retested within 3 to 6 months. Conclusions. Following up on refugee children with EBLLs is necessary to ensure that they do not have continued lead exposure. (Am J Public Health. 2022;112(S7):S706–S714. https://doi.org/10.2105/AJPH.2022.306856 )
EL VALOR DE UN AJUSTE OCLUSAL, ¿POR QUÉ, CÓMO, CUÁNDO?: REPORTE DE CASO
Authors: Garcia Cahuana Leslie Nicole Erika , Martinez Aparcana Joselin Harley , Atoche Socola Katherine Joselyn , Figueroa Pastrana David Juan 
Published: September 2022

El objetivo de una odontología optima es llegar a estabilizar al sistema estomatognático (dientes, periodonto, músculos y articulación temporomandibular). Todos estos deben trabajar en armonía, ya que juntos proporcionan un óptimo cuidado desde el diagnostico pasando por la planificación hasta el tratamiento. Sin embargo, en la actualidad muchos clínicos toman poca importancia a la identificación de contactos prematuros y/o interferencias antes de realizar cualquier tratamiento odontológico, el cual debería tomarse en cuenta para brindar una mejora en la estabilidad en el cierre mandibular, correcta guía anterior y canina en los movimientos mandibulares.
El presente caso clínico describe el tratamiento de un paciente con diagnóstico de desorden funcional oclusal por contacto prematuro cuyo tratamiento consistió en realizar un ajuste oclusal por desgaste selectivo, siguiendo la técnica descrita por el autor Klineberg, con el objetivo de preservar al máximo la estructura dentaria manteniendo un control durante el ajuste oclusal y devolviendo el mayor número de contactos puntiformes y simétricos.
JIP Focuses on Equipment Reliability in Subsea Production Systems
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 30219, “SEAR JIP: A Success Story of Collaboration and How To Improve Equipment Reliability on Subsea Production Systems,” by Adriana Botto, Wood; Manish Tomar, Chevron; and Stuart Ferrier, ConocoPhillips, et al. The paper has not been peer reviewed. Copyright 2020 Offshore Technology Conference. Reproduced by permission.
The Subsea Equipment Australia Reliability (SEAR) joint industry project (JIP) is a partnership led by Wood with participation from a group of operators including Chevron Australia, ConocoPhillips, Inpex, Santos, Shell Australia, and Woodside. Now delivering Phase 6, the JIP is focused on collaboration and knowledge-sharing to improve the competitiveness of Australia’s oil and gas industry by addressing critical challenges associated with premature subsea-equipment failure. The complete paper provides an overview of the JIP and outlines lessons learned and value created.

Background
The SEAR JIP was initiated in 2014 with an aim of generating significant cost savings by improving subsea-equipment reliability and design for Australian operations, a goal best achieved through collaboration and knowledge-sharing. A reliability database was developed to collect offshore-operations failure information from SEAR members. The database provides a low-cost/high-value method of capturing lessons learned for subsea-equipment performance in Australia. A complementary test program, Transforming Australian Subsea Equipment Reliability (TASER), is under way to model innovative technologies under variable environments to validate equipment advancements.
Phase 6 of the JIP aims to continue populating the reliability database while addressing two major industry challenges: the effect of marine fouling affecting equipment operability, and unwanted gas in subsea controls umbilicals. The outcome of this phase should provide opportunities for standardization, life extension, and development of new technologies.
The JIP plans to issue an industry recommended practice in 2022 harnessing the lessons learned. This recommended practice will identify root causes of equipment failure and recommend material selection and mechanical design requirements for different environmental conditions. This will enable an improvement in equipment availability and a reduction in operating expenditures by minimizing offshore intervention to address failed equipment.
All-Electric Boosting-Control System Simplifies, Improves Operating Processes
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 31943, “Introduction to New Technology Applications, Data-Acquisition Capabilities, and Features of the All-Electric Boosting Control System,” by Kjetil Bergtun, Carsten Mahler, and Trond Melheim, OneSubsea. The paper has not been peer reviewed. Copyright 2022 Offshore Technology Conference. Reproduced by permission.
The complete paper describes an all-electric system (AES) and how its implementation will simplify operating processes, reduce topside and subsea weight and cost, and lower the risk of hazardous fluids escaping into the ocean. The authors place special focus on the electrical actuators that were introduced in this project as well as the challenges faced during project execution.

Vigdis Field
The Vigdis field was discovered in 1986 between the Snorre, Statfjord, and Gullfaks fields in the Tampen area of the North Sea. The development consisted of seven subsea templates and two satellite wells producing to the Snorre A (SNA) facility, which contains a dedicated processing module for Vigdis.
In 2002 the plan for development and operation of the Vigdis extension was approved. An unprocessed wellstream is transported from Vigdis to the Snorre A platform by two flowlines. Stabilized oil is transported by pipeline from Snorre A to Gullfaks A for storage and export (offloading). The second platform (SNB) in the Snorre field is 11 km north of SNA. The Snorre field is approximately 130 km from the Norwegian coast, nearly at the same latitude as Florø.
When the Vigdis field came onstream in 1997, recoverable resources were estimated at 200 million bbl of oil. The field has now produced 394 million bbl, and recoverable resources have been increased to 455 million bbl of oil.
Production from the field was limited by the capacity of the production lines and pressure drop across the topside chokes. Reservoir deliverability was limited by low reservoir pressure in some parts of the field, together with increasing water cut, leading to reduced energy into the system, which in turn caused dropping wellhead pressures.
Automation and Closed-Loop Systems Reduce HSE Risks
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 31985, “Reducing HSE Risks Through Automation and Closed-Loop Systems,” by Simon Smith, Olof Nilsson, SPE, and Aksel Skåland, SPE, FourPhase. The paper has not been peer reviewed. Copyright 2022 Offshore Technology Conference. Reproduced by permission.
Solids production in produced fluids is an industrywide challenge, incurring major costs to operators through lost production, asset integrity, and well-intervention campaigns. The complete paper highlights solids-management technologies that are currently available and still in use topside (and some of which are potentially outdated). It also identifies the amount of exposure to hazardous byproducts of produced oil and gas from these various technologies.
The complete paper also presents a new-technology case study and compares this with legacy methods and practices in terms of health, safety, and environment (HSE) risk and cost.

Naturally Occurring Radioactive Materials (NORM)
NORM can be divided into sources that originate from the ground and those produced from the interaction of atmospheric gases with cosmic rays. The risks associated with NORM, and the solutions available to manage those risks, are not widely known in the industry. The complete paper focuses on 3 NORM, which originate from the ground. The paper further details the characteristics of benzene and hydrogen sulfide, two other hazardous materials often encountered in solids-handling within the industry.
NORM Hazards. - The hazardous elements found in NORM are radionuclides such as radium 226 and 228, radon 222, and daughter products from these radionuclides. The concentration of radium and other daughter products builds up in the body over time. The elements can migrate to bone tissue and concentrate, causing bone cancers, lymphoma, leukemia, and other serious medical conditions. Employers should always prioritize minimization of exposure of their offshore personnel.
NORM in the Oil and Gas Industry. - Scale may build up over time from naturally occurring radium and its daughter products in wellbores, pipes, and vessels. Isotopes build and radiate differently depending on the reservoir rock and salinity of the well. Because a correlation usually exists between the age of a well and salinity (which increases with age), old wells seem to carry higher NORM levels than younger wells.
Psychological Factors Coupled With Machine Learning Improve Rig Training
Authors: Carpenter Chris 
Published: September 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 208689, “Coupling Psychological Factors With Machine Learning To Improve Rig Technical Training,” by Francesco Curina, Elia Abdo, and Ajith Asokan, Drillmec, et al. The paper has not been peer reviewed.
The complete paper explains how machine learning and physiology can be used to improve rig technical training by monitoring the operator’s stress, identifying key operations in which situational awareness is low, and targeting these operations with dedicated exercises. The developed methodology is based on a study of human psychological indicators captured through light biometric devices. These indicators are fed to a machine-learning algorithm that calculates a stress index for the observed operator. The model uses machine vision to identify key physiological parameters and a convolutional neural network to interpret them. Finally, a third algorithm correlates the stress index to specific operations.

Introduction
In recent years, with the advent of machine learning and accurate biometric sensing devices, many models have been produced to identify stress automatically and instantaneously. Support-vector-machine and random forest models have shown special affinity for these applications. As for biometric sensing devices, they currently are found in most wearables and are available for relatively low prices. Most notably, electrocardiogram (ECG), electroencephalogram, and photoplethysmograph sensors, in addition to thermal cameras, are the most-used types.
In drilling operations, a driller may be aware of emergency procedures but the actual event itself will stress them acutely. In addition, continuous changes introduced to the layout or technology of the human/machine interface (HMI) can be a source of stress even for an experienced driller. Thus, identification of the stressful scenario for a specific driller and training them for that task while using the same HMI as the actual rig would enable the operator to stay alert and responsive during a real emergency on the rig.
Many emergency situations may occur during drilling operations that may lead to high-risk situations. However, none can be considered a higher risk than a well-control situation. Therefore, the focus of this study has been placed upon well-control situations and simulator training.
Performance Improvement for Optical OFDM Systems Using Symbol Time Compression
Authors: Ramadan Khaled , Elbakry Mohamed S. 
Published: September 2022

Abstract
Visible light communication (VLC) is now used to achieve high data rates. Optical-orthogonal frequency division multiplexing (O-OFDM) is a strong technique for intensity modulation and direct detection (IM-DD). Direct current biased O-OFDM (DCO-OFDM) and asymmetrically clipped O-OFDM are two modern O-OFDM systems that operate with IM-DD constraints (ACO-OFDM). Due to severe out of band interference, the DCO-OFDM and ACO-OFDM systems have a high peak to average power ratio (PAPR) and substantial adjacent channel interference (ACI) (OOB). Furthermore, as compared to bipolar OFDM systems, they obtain a greater chance of bit error. The combination of the STC scheme, symbol extension, and pulse shaping signal is presented in this paper for improving the performance of the O-OFDM system without affecting system throughput. This article also decreases the OOB, PAPR, and bit error rate (BER) of DCO-OFDM and ACO-OFDM systems. Further analytical analyses for the proposed systems, such as OOB, PAPR, and computing complexity, are obtained in this paper. The simulation results verify the analytical study of the proposed methods for OOB reduction and PAPR reduction. As compared to typical O-OFDM systems, the proposed shaped STC-DCO-OFDM scheme and the proposed shaped STC-ACO-OFDM scheme lower the OOB by about 40 dB and the PAPR by about 4 dB at the 10− 3 probability point of the complementary cumulative distribution function (CCDF). The proposed systems outperform existing O-OFDM systems under AWGN for the BPSK modulation scheme in terms of BER, and reduce the computational complexity.
TGFBI remodels adipose metabolism by regulating the Notch-1 signaling pathway
Authors: Nam Ju-Ock , Lee Seul Gi , Woo Seon Min , Seo Seung Un , Kim Ha-Jeong , Schlaepfer David D. , Kim In-San , Park Hee-Sae , Kwon Taeg Kyu 
Published: September 2022

Abstract
Extracellular matrix proteins are associated with metabolically healthy adipose tissue and regulate inflammation, fibrosis, angiogenesis, and subsequent metabolic deterioration. In this study, we demonstrated that transforming growth factor-beta (TGFBI), an extracellular matrix (ECM) component, plays an important role in adipose metabolism and browning during high-fat diet-induced obesity. TGFBI KO mice were resistant to adipose tissue hypertrophy, liver steatosis, and insulin resistance. Furthermore, adipose tissue from TGFBI KO mice presented a large population of CD11b+ macrophages, which control adipokine secretion through paracrine mechanisms. Mechanistically, we showed that inhibiting TGFBI-stimulated release of adipsin by Notch-1-dependent signaling resulted in adipocytes browning. TGFBI was physiologically bound to Notch-1 and stimulated its activation in adipocytes. Our findings revealed a novel protective effect of TGFBI deficiency in obesity that is realized via the activation of the Notch-1 signaling pathway.
Medical resources and medical activities affect the rate of home death in cancer patients: Analysis by prefecture using Japanese National Database and public data
Authors: Tarasawa Kunio , Fujimori Kenji , Ogata Tomoaki , Chiba Hiroki , Moriya Yukinori 
Published: September 2022

Abstract
Background: In Japan, over half of the population, about 55.0%, hope to die at home, while 73.0% of the actual deaths are in hospitals. In particular, the hospital death rate for cancer, which is the leading cause of death, is even higher at 82.4%, which is also high internationally. Therefore, there is an urgent need to establish conditions for fulfilling the hopes of patients who hope to die at home, especially cancer patients. The aim of this study is to clarify the actual situation of home death in Japanese cancer patients and the influential factors related
to home death.
Methods: We used the National Database and public data. Japan's Ministry of Health, Labor and Welfare provides applicants with national data (National Database), big data related to medical services for research purposes. Using the National Database, we calculated the rate of home death by prefecture. In addition, we collected medical resources information and medical activities information from public data to clarify home death factors. Finally, we conducted a multiple regression analysis to investigate the home death rate factors.
Results: During the study period from April 2017 to March 2018, we extracted 56,650 patients. We determined that the home death rate showed a specific difference by prefecture. There was a difference of about three times (14.3%-42.1%) between the maximum and minimum values. We also found that the activity of home-visit medical care by doctors is substantial as a factor to increase the rate of a home death (Standardized coefficient 0.586), and the number of acute care beds and the number of long-term care beds were significant factors to decrease the rate of home death (Standardized coefficient -0.334 and -0.220).
Conclusions: Based on these results, it is essential to improve home-visit medical care activities in order to increase the home death in the future. By enhancing the activities of home-visit medical care, it is desirable to improve home-based palliative care and establish a system that enables cancer patients who want to die at home to realize it.
Testing Framework for Big Data: A Case Study of Telecom Sector of Pakistan
Authors: Nasir Neelum , Imtiaz Salma , Imtiaz Saima , Nabeel Muhammad 
Published: September 2022

Abstract
Big Data has emerged as an asset for business practices and marketing strategies due to its data analysis capabilities. For an effective decision-making process, reliable data is critically important. Unreliable data results in wrong decision making ultimately leading to a negative reputation, customer churn, and financial loss. Therefore, testing Big Data is vital to ensure the reliability of data. Defining test strategies and setting up a testing environment are complex and challenging tasks. In this research, we tend to focus on data reliability, since a wrong decision based on unreliable data can have huge negative consequences. The testing framework for Big Data is validated via an exploratory case study in the telecommunication sector. Three-layer architecture for Big Data testing is used, namely Ingestion, Preparation, and Access. Errors are injected to verify fault injection in the ingestion and processing of data files of the Hadoop framework and technology stack. The results of the testing framework show errors in three layers of Big Data. The testing framework effectively detects data faults in Big Data,and a total of 76.92% errors in the presentation layer of total failed test cases are identified. 48.72% of test cases are developed to detect errors to check data accuracy, and after execution of these test cases 31.58% errors are detected. The highest proportion of errors detected are related to the completeness, which is 66.67% of the number of errors injected for completeness. The results show the effectiveness of the framework to identify accuracy and completeness errors.