bluuebunny/crossref_metadata_2025 huggingface dataset:
Early and Sustained Inflammatory State Induces Muscle Changes and Establishes Obesogenic Characteristics in Wistar Rats Exposed to MSG-Induced Obesity Model
Authors: Zazula Matheus Felipe , Saraiva Diego Francis , Theodoro João Lucas , Maciel Mônica , Sepulveda Eliel Vieira dos Santos , Zanardini de Andrade Bárbara , Boaretto Mariana Laís , Maciel Jhyslayne Ignácia Hoff Nunes , Bronczek Gabriela Alves , Soares Gabriela Moreira , Sagae Schneider Sara Cristina , Bertolini Gladson Ricardo Flor , Torrejais Márcia Miranda , Ribeiro Lucineia Fatima Chasko , Fernandes Luiz Claudio , Naliwaiko Katya
Published: October 2022

The model of obesity induced by monosodium glutamate cytotoxicity on the hypothalamic nuclei is widely used in the literature. However, MSG promotes persistent muscle changes and there is a significant lack of studies that seek to elucidate the mechanisms by which damage refractory to reversal is established. This study aimed to investigate the early and chronic effects of MSG in-duction of obesity upon systemic and muscular parameters of Wistar rats. Animals were exposed to MSG subcutaneously (4 mg.g-1 b.w.) or saline (1.25 mg.g-1 b.w.) daily from PND01 to PND05 (n = 24). After, in PND15, 12 animals were euthanized to determine the plasma and inflammatory profile and to assess muscle damage. In PND142, the remaining animals were euthanized, and samples for histological and biochemical analyses were obtained. Our results suggest that early exposure to MSG reduced growth, and increased adiposity, induction hyperinsulinemia, and a pro-inflammatory scenario. In adulthood were found, peripheral insulin resistance, reduced muscle mass, oxidative capacity, neuromuscular junctions, increased fibrosis, and oxidative distress. Thus, we can conclude that the condition found in adult life and the difficulty in restoring the muscle profile are related to the metabolic damages established early.
HIV Knowledge, Attitudes and Practices in Agricultural Workers: A Precarious and Vulnerable Workforce in South Africa
Authors: Mlangeni Nosimilo , Kisting Sophia , Ramodike Jonathan , Malotle Molebogeng , Sikweyiya Yandisa , Stuart-Thompson Nikki , Sebe Norman , Du Preez Christine , Zungu Muzimkhulu
Published: October 2022

Previous studies have shown that agricultural works bear a disproportionately higher burden of HIV, which is the highest HIV prevalence ever reported in any working population in South Africa. This study aimed to assess HIV knowledge, attitudes and practices of agricultural workers, as a precarious and vulnerable workforce. A cross-sectional study design was employed. A pre-piloted paper-based questionnaire was administered to a consenting sample of agricultural workers. Descriptive and inferential statistics were performed using stata version 16.1 software, 0.05 level was used as a measure of significance. The majority of agricultural workers had adequate knowledge level (72.1%) regarding HIV/AIDS. Knowledge was significantly associated with having some level of education,) secondary education (AOR: 1.46, 95% CI:1.01-2.12), and post-matric qualification (AOR: 3.07, 95% CI: 1.61-5.83). The attitudes level of workers towards HIV was good (88.1%). Attitude was negatively associated with residing in informal settlements (AOR: 0.64, 95% CI 0.43-0.97). Majority of participants exhibited poor prevention practices regarding HIV (60.9%). Half of participants reported low condom usage (50.9%) and multiple sexual partners (50.6%). The portrayed risky sexual behavior establishes agricultural workers as an HIV high-risk population. Strategizing non-conventional approaches to HIV prevention and behavior change communication targeting agricultural workers is recommended.
Present and Future Drinking Water Security and its Impacts on Maternities: A Multi-scale Assessment of Sudan
Authors: Simonin Vincent , Vaghefi Saeid Ashraf , Abdelgadir Zeinab M. , Eltayeb Dalya , Sidahmed Mohammed Ahmed M. , Monet Jean-Pierre , Ray Nicolas
Published: October 2022

Adequate access to drinking water for hydration and hygiene depends on many factors, such as water quality, accessibility, continuity of supply, and available quantity. We developed the Drinking Water Security Index (DWSI) to assess relative multifactorial drinking water security at different spatial and temporal scales. We apply this new index in Sudan to assess historical and future drinking water security at state, local, and maternity levels. State-level analyses found that the Red Sea and River Nile states are most vulnerable, with the lowest DWSI for both historical and future periods. The 1 km2 pixel level analysis shows large differences in water security within the major states. Analyses at maternity level showed that nearly 18.97 million people are affected by the 10% of maternities with lowest DWSI, a number projected to increase by 60% by 2030. Current and future water security indexes of maternities providing Emergency Obstetric and Newborn Care, were assessed to identify those where urgent action is needed to ensure quality health care in water secure conditions. This work provides useful information for stakeholders in the health and drinking water sectors in Sudan, to improve public health, reduce preventable mortality, and make the population more resilient to projected environmental changes.
Newton’s Like Normal S-iteration under Weak Conditions
Authors: Singh Manoj Kumar , Argyros Ioannis K. , Singh Arvind K.
Published: October 2022

In the present paper, we introduced a quadratically convergent Newton’s like normal S2 iteration method free from the second derivative for the solution of nonlinear equations permitting 3 f'(x) = 0 at some points in the neighborhood of the root. Our proposed method works well 4 when the Newton method fails. Numerically it has been verified that the Newton’s like normal 5 S-iteration method converges faster than Fang et al. method [A cubically convergent Newton-type 6 method under weak conditions, J. Compute. and Appl. Math., 220 (2008), 409-412]. We studied 7 different aspects of normal S-iteration method. Lastly, fractal patterns support the numerical 8 results and explain the convergence, divergence, and stability of method.
Mutational Landscape of Bladder Cancer in Mexican Patients: KMT2D Mutations and Chr11q15.5 Amplifications are Associated with Muscle Invasion
Authors: Pérez-Montiel María Delia , Cerrato-Izaguirre Dennis , Sánchez-Pérez Yesennia , Díaz-Chávez José , Cortés-González Carlo César , Rubio-Cordero Jairo Aarón , Jiménez-Ríos Miguel Angel , Herrera Luis A. , Scavuzzo Anna , Meneses-García Abelardo , Hernández-Martínez Ricardo , Vaca-Paniagua Felipe , Ramírez Andrea , Orozco-Mora Alicia , Cantú de León David , Prada Diddier
Published: October 2022

Bladder cancer (BC) is the most common neoplasm of the urinary tract, which originates in the epithelium that covers the inner surface of the bladder. The molecular BC profile has led to the development of different classifications of non-muscle invasive bladder cancer (NMIBC) and muscle-invasive (MIBC). However, the genomic BC landscape profile of the Mexican population, including NMIBC and MIBC, is unknown. In this study, we aimed to identify somatic single nucleotide variants (SNVs) and copy number variations (CNVs) in Mexican patients with BC and their associations with clinical and pathological characteristics. We retrospectively evaluated 37 patients treated between 2012 and 2021 at the National Cancer Institute - Mexico (INCan). DNA samples were obtained from paraffin-embedded tumor tissues and ran exome sequencing. Strelka2 and Lancet packages were used to identify SNVs and insertions or deletions. FACETS was used to determine CNVs. We found a high frequency of mutations in TP53 and KMT2D, gains in 11q15.5 and 19p13.11-q12, and losses in 7q11.23. STAG2 mutations and 1q11.23 deletions were also associated with NMIBC and low histologic grade.
Visual Abnormality Detection in Surface based on Energy Variations in Multi Direction Co-occurrence Matrixes
Authors: Kiani Faeze
Published: October 2022

Surface defect detection is one of the most widely used research areas in the field of image processing and machine vision. Detection of surface defects is used in visual inspection systems and medical image analysis. In this manuscript, an innovative method for detecting surface defects based on energy changes in co-occurrence matrices is presented in several directions. The method presented in this manuscript includes two stages of learning and testing. In the learning phase, to extract texture features, the gray level co-occurrence matrix operator is applied on the healthy image of the desired level. Then the energy value of the output matrix is ​​calculated. In the following, changes in the amount of energy are considered as statistical characteristics that are a good representative of the image of a healthy surface. Finally, with its help, a suitable threshold for the health of the images is obtained. Then, in the test phase, with the help of the calculated quorum, the defective windows that have suffered from non-normality are distinguished from the healthy surface sections. In the results section, the efficiency of the mentioned method has been measured on medical images and stone and ceramic images, and its detection accuracy has been compared with some previous effective methods. The advantages of the presented method include high accuracy, low calculations and compatibility with all types of levels due to the use of the learning stage. The proposed approach can be used in medical applications to diagnose abnormalities such as diseases. All extracted features are statistical, so its detection speed is higher than deep neural networks.
Unintended Pedagogical Consequences of Emergency Remote Teaching at a Rural-Based University in South Africa
Authors: Pika Siyabonga , Reddy Sarasvathie
Published: October 2022

In this empirical article, we argue that, while emergency remote teaching (ERT) may have achieved its goal of saving the academic years during the COVID-19 pandemic, it also constructed unintended pedagogical consequences that were possibly overlooked at the time of advocating it. The research question that the article attempted to answer is, what unintended pedagogical consequences did students and lecturers suffer because of the move to ERT at rural-based universities (RBUs) in South Africa? Drawing on students' and lecturers’ lived experiences of ERT, this article foregrounds unintended pedagogical consequences that arose at one RBU in South Africa during the transition from face-to-face teaching to ERT. Underpinned by the tenets of critical realism philosophy, as well as student integration theory, in-depth interviews with three lecturers and six students were conducted. The findings of the study indicate that home conditions, individual characteristics, pre-COVID-19 blended learning experiences, university training and support, and teaching, learning, and assessment practices and policies altogether contributed to the construction of unintended pedagogical consequences of ERT presented in this article. These consequences include (1) exclusion of low-income students in active teaching and learning, (2) equipping middle-class students with better chances of success than working-class students. (3) distressing female students and lecturers more than their male counterparts, and (4) unproductive assessment practices. This study may be beneficial to academics and policymakers from similar contexts in their plight to continue with remote teaching and assessment (RTA) beyond the pandemic.
Analisis Pengaruh Kualitas Layanan terhadap Kepuasan dan Loyalitas Pelanggan pada Sistem Pembayaran Netflix
Authors: Urbayani Jeehad Muhammad Syafiq , Pujiyanto Eko , Fahma Fakhrina
Published: October 2022

Masa pandemi memaksa masyarakat membatasi seluruh aktivitas di luar ruangan seperti pekerjaan, pendidikan, dan hiburan. Industri perfilman turut terkena dampaknya sehingga masyarakat tidak bisa menyaksikan penayangan film di bioskop. Masyarakat menonton film hanya dari rumah melalui media streaming film digital. Salah satu media streaming film terbesar saat ini adalah Netflix. Netflix mendapatkan 37 juta pelanggan baru selama masa pandemi. Hal ini perlu dijaga dengan memperhatikan kualitas layanan Netflix. Kualitas layanan yang paling banyak dikeluhkan pelanggan adalah kualitas layanan sistem pembayarannya. Untuk itu dilakukan penelitian mengenai pengaruh kualitas layanan (­e-Service Quality dan e-Recovery Service Quality) terhadap kepuasan pelanggan (e-Satisfaction) dan loyalitas pelanggan (e-Loyalty). Penelitian dilakukan dengan metode Structural Equation Modeling (SEM) menggunakan software SmartPLS. Pengembangan alat ukur kuesioner menunjukkan terdapat 11 dimensi yang menjadi dasar pembuatan kuesioner dan dibagikan kepada 150 responden pelanggan Netflix. Hasil penelitian telah menunjukkan bahwa e-Service Quality berpengaruh signifikan secara positif terhadap e-Satisfaction, e-Recovery Service Quality berpengaruh signifikan secara positif terhadap e-Satisfaction, dan e-Satisfaction berpengaruh signifikan secara positif terhadap e-Loyalty.
Vertical Partnerships Between OEM And First Tier: Lessons From Automotive Component Companies In Greater Jakarta-Indonesia
Authors: Syah Donny Oktavian , Lupiyoadi Rambat , Suryani Embun
Published: October 2022

Research Aims: This research aimed to investigate vertical partnerships between Original Equipment Manufacturers (OEMs) and first-tier automotive component firms based on the relationships between technology transfer, technical exchange, government role and supplier performance in the Greater Jakarta area. Design/Methodology/Approach: A total of 65 respondent firms participated, comprising 6 OEMs and 59 first-tier firms. The research included site visits and interviews with companies based on questionnaires completed by representative individuals from middle management upward with responsibility for assessing product quality (purposive sampling). The questionnaire results were measured using Partial Least Squares Path Modelling (PLS-PM). Research Findings: The results highlighted significant relationships between government role and technology transfer (p-value = 0.00), government role and supplier performance improvement (p-value = 0.017), and technical exchange and supplier performance improvement (p-value = 0.077). However, no significant relationship was found between technology transfer and supplier performance improvement (p-value = 0.353). Theoretical Contribution/Originality: Understanding the vertical relations between OEMs and first-tier automotive component firms in Indonesia. Managerial Implications in the South East Asian Context: Solid relationships between OEMs and first-tier companies in Greater Jakarta, Indonesia are especially triggered by the increasing tendency for local component use (TKDN/Domestic Component Level). Research limitation & Implications: The research examined vertical relationships between OEMs and first-tier firms, notably between technology transfer and supplier performance improvement, technical exchange and supplier performance improvement, government role and technology transfer, and government and supplier performance improvement.
Analysis of The Relationship between Practices and Performance of Green Supply Chain Management in Indonesian Micro, Small, and Medium Enterprises (MSMEs)
Authors: Siregar Dinda Halimah , Pinagara Fajar Ayu
Published: October 2022

Research Aims: This study discusses the practice of green supply chain management (GSCM) on environmental performance and operational costs in micro, small and medium enterprises (MSMEs) in Indonesia's food and beverage industry. Especially to examine the existence of ecocentricity and supply chain traceability that moderates GSCM practices with environmental performance and operational costs. Design/Methodology/Approach: The judgement sampling method was used in this study, and 85 respondents contributed. Research questionnaires were distributed online, and data were analysed using Partial Least Square-Structural Equation Modelling (PLS-SEM). Research Findings: The results of this study indicate that GSCM practices have a significant relationship to environmental performance and operational costs of MSMEs in the food and beverage industry in Indonesia. Supply chain ecocentricity moderates the relationship between GSCM practices, environmental performance, and operating costs. However, supply chain traceability does not moderate the relationship between GSCM practices, environmental performance, and operational costs. Theoretical Contribution/Originality: The concept and practice of GSCM is gaining popularity in developing countries, but is still limited to the scope of MSMEs. Thus, research on GSCM still has to be extended to MSMEs because most research is limited to large organisations. Managerial Implication in the South East Asian Context: This research covers the concept and practice of GSCM on MSMEs in Indonesia. For MSMEs in the food and beverage industry, this research is expected to be taken into consideration in implementing GSCM for supply chain ecocentricity to improve business performance. Research Limitation & Implications: Respondents are limited to the Java and Bali area and the food and/or beverage industry group.
Neurotisisme Memprediksi Peningkatan Organizational Citizenship Behavior Pada Konteks Organisasi Non-profit: Studi Pada Pengurus Organisasi Orkestra di Indonesia
Authors: Gracia Josephine , Himawan Karel Karsten
Published: October 2022

Berbagai studi telah menunjukkan peran tipe kepribadian sebagai determinan organizational citizenship behavior (OCB) dalam organisasi. Namun demikian, sejauh pengetahuan peneliti, belum ada studi yang berfokus pada menguji peran tipe kepribadian terhadap OCB pada organisasi orkestra. Padahal organisasi orkestra merupakan organisasi yang sedang berkembang di Indonesia dalam beberapa tahun terakhir, sehingga fokus terhadap sisi manajemen organisasi dapat memberikan informasi yang bermanfaat untuk memastikan efektivitas dan efisiensi organisasi. Studi ini bertujuan untuk mengeksplorasi ada atau tidaknya pengaruh tipe kepribadian menurut teori Big Five Personality dengan tingkat OCB pada pengurus organisasi orkestra di Indonesia. Sebanyak 84 pengurus organisasi orkestra berpartisipasi dalam survei. Hasil penelitian menunjukkan bahwa tipe kepribadian neuritk (neutoricism) merupakan satu-satunya determinan penting terhadap OCB pada pengurus organisasi orkestra. Hasil studi ini dapat memberi informasi yang bermanfaat bagi pengurus orkestra dalam memetakan strategi rekrutmen kepengurusan demi menjamin efektivitas organisasi.
Pengaruh Emotional Intelligence (EI) Terhadap Organizational Citizenship Behavior (OCB) Pada Petugas Di Lapas Narkotika Kelas IIa Bangli
Authors: I Komang Budi Mahendra Suta  , Maki Zaenudin Subarkah
Published: October 2022

Kecerdasan pada dasarnya merupakan aspek penting dalam diri manusia karena berkaitan dengan kapasitas biologis manusia khusunya dalam memproses informasi dan memecah suatu permasalahan. Kecerdasan manusia dapat diklasifikasikan menjadi tiga jenis kecerdasan utama yang meliputi: intelligence quotient (IQ), emotional intelligence (EI), dan spiritual intelligence (SI). Dalam penelitian ini, kecerdasan emosional atau emotional intelligence (EI) menjadi fokus perhatian peneliti mengingat perannya sebagai kecerdasan utama yang dapat mempengaruhi timbulnnya perilaku produktif khususnya dalam dunia kerja sebagaimana dijelaksan dalam berbagai sumber penelitian terdahulu. Secara lebih spesifik penelitian ini mengkaji pengaruh emotional intelligence (EI) terhadap perilaku Organizational citizenship behavior (OCB) petugas di Lapas Narkotika Kelas IIA Bangli. Responden sebagai subjek penelitian merupakan seluruh petugas Lapas yang berjumlah 81 orang. Sumber data diperoleh yang dari hasil tanggapan responden terhadap interumen pengukuran yang disebarakan melalui google forms. Analisis data dilakukan dengan teknik analisis statistik deskriptif dengan bantuan software IBM SPSS 25. Adapun hasil penelitian ini menunjukan bahwa petugas di Lapas Narkotika Kelas IIA Bangli memiliki persepsi yang cukup baik terhadap varaiabel emotional intelligence (EI) dan OCB. Selain itu, hasil penelitian ini juga mendukung hipotesis tentang adanya pengaruh positif emotional intelligence (EI) terhadap organizational citizenship behavior (OCB).
The Role of Viruses in the Inception of Chronic Rhinosinusitis
Authors: Lee Hyeon Seung , Volpe Sophia J , Chang Eugene H
Published: October 2022

Chronic rhinosinusitis (CRS) is a complex inflammatory disorder that affects between 2% and 16% of adults in the United States, with estimated healthcare costs between 4 and 12 million USD. Viruses are a common etiologic factor for URIs, are frequently identified in the sinuses of patients with CRS, and trigger CRS exacerbations. Therefore, investigating the role of viruses provides an opportunity to identify their role in the pathogenesis of CRS. In this review, we identified the viruses frequently isolated in patients with CRS, as well as their associated immunologic responses and contributions to inflammation. Rhinovirus, parainfluenza virus, influenza virus, and respiratory syncytial virus are the viruses commonly found in patients with CRS. This information allows us to target pathways early in the pathogenesis of CRS, thereby playing a significant role in slowing the progression of this chronic disease.
Analysis of the Effectiveness of Solar Cell Voltage Based on the Angle of Exposure to Sunlight
Authors: Fikri Nugroho Muhammad , Riyanto Didik , Nanang Syaifuddin Gus
Published: October 2022

Solar Power Plant is a system that is able to convert solar energy into electrical energy, it is incorporated in several components in the form of solar panels (photovoltaic), battery testing (solar charger controller), inverter, battery, Lux Meter and other accessories. In order to get the maximum voltage, current, and power results, it is necessary to place the solar panels correctly, by determining the angle of inclination according to previous research, and measuring the angle of inclination based on the equator. In this study, solar cells are expected to get the maximum voltage (Volt), Current (Ampere), and Power (Watt) so that solar cells can be applied optimally in the Ponorogo Regency area. This research is to determine the Tilt Angle of the Solar Panel, Voltage (Volt), Current (Amperes), and Power (Watt). The results showed that the best slope angle was at an angle of 15º to the north, with a power value of 8.23 ​​Watt, and the best absorption of sunlight was obtained during the day at 10.00-11.00 WIB, and the best results were obtained in March 2021.
Design and Build a Vaname Shrimp Sorting System Based on Image Processing
Authors: Ulum Miftachul , Aji Wibisono Kunto , Haryanto Haryanto , Alfita Riza , Kurniawan Saputra Adi
Published: October 2022

Vannamei shrimp is a species of shrimp that has high economic value. In the process of trading vaname shrimp, there are different price classes. Determination of the price class of vaname shrimp is based on the size of the shrimp. But in the post-harvest process, the sorting of vaname shrimp is still done manually, namely by placing the white shrimp on a flat table and then separating it by size so that it takes a long time and the level of accuracy of the sorting process also becomes imprecise, as is done by cultivating in the coastal area of ​​Madura, this is due to the limitations of available shrimp post-harvest processing equipment. In addition, the limited supply of electrical energy for the coastal area of ​​Madura is also another factor that hinders the post-harvest process of vanname shrimp. The purpose of this study is to design and create a vannamei shrimp sorting system based on image processing. In processing this shrimp image using the Background Subtraction method. The Background Subtraction method is used as a separator between the object and the background. The sorting process is based on the size detection of shrimp by using the blob detection algorithm. BLOB (Binary Large Object) detection is an image segmentation method based on region growing. The goal is to analyze textures specifically and accurately. Because blob detection distinguishes colors that have thin gradations. Based on the tests that have been carried out, the average accuracy of the system in sorting vannamei shrimp is in the range of 90%.
Repurposing Offshore Pipeline as Energy Storage Opens Market Segment
Authors: Carpenter Chris
Published: October 2022

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 31703, “Repurpose Offshore Pipeline as Energy Storage (ROPES): Opening a New Market Segment Offshore,” by Azril Syazwan Hazim, SPE, Subsea 7, Daniel Buhagiar, FLASC, and Alasdair Gray, Xodus. The paper has not been peer reviewed. Copyright 2022 Offshore Technology Conference. Reproduced by permission.

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The repurposed offshore pipelines as energy storage (ROPES) solution repurposes aged offshore installations into energy storage systems based on proven hydropneumatic principles toward a cost-competitive, reliable system. Findings from a recent concept-assessment study show the cost competitiveness of the solution as a result of a low levelized cost of storage (LCOS) paired with the value of deferring full decommissioning of existing assets. The ROPES solution enables the storage of renewable power while allowing for the optimization of time and expenditure for decommissioning of infrastructure.

Background

Energy-storage technologies address a fundamental problem related to the integration of renewable energy production into conventional energy systems on a large scale: the mismatch between intermittent energy supply and consumer demand. Balancing supply and demand is quickly becoming the greatest obstacle to increased uptake of renewable energy.

An emerging industrialized energy storage solution (ESS) technology uses mechanical power storage based on proven fluid-compression principles. Hydropneumatic energy storage (HPES) relies on a large pressure containment system (PCS) that acts as a pressurized liquid piston—potentially a pipeline system—with energy activated by a pump and recovered through a turbine. The solution is positioned to improve on economics for offshore wind farms either through remote units within each turbine or through the ROPES concept, with the energy conversion unit (ECU) on either the seabed or an adjacent decommissioned offshore platform.

Overview of HPES Technology

The proprietary HPES system stores energy by using it to pump seawater into a closed chamber to compress a fixed volume of precharged inert gas. The energy then can be recovered by allowing the compressed gas to push the water back out through a hydraulic turbine generator. The technology embodies a patented combination of two key features:

- Pneumatic precharging allows the system to be installed in shallow water, making it suitable for both fixed-bottom and floating wind applications.

- Using the ocean as a natural heatsink results in an efficient, isothermal system without the need for complex thermal-management systems.
Leveraging Technology in Learning & Development
Authors: Al Harthy Mohammed Abdullah
Published: October 2022

A Petroleum Development Oman (PDO) Learner's journey was driven primarily through the ‘traditional’ classroom environment, which is not conducive to modern learner learning needs. These face-to-face interactions have limited technology interfaces and do not meet the evolving demands of the present-day learner to upskill fast, improve employee engagements, and create efficiencies in Learning & Development.

With PDO re-shapes its strategy to accelerate and evolve to energy efficiency, renewables, and decarbonisation, it is essential that employees also have the necessary skills to succeed. Therefore, PDO's Learning & Development (L&D) Academy had to re-shape its strategy on how it embraces innovations and technologies to serve modern learners best. Boost side-lined skills, so digital technology becomes part of the workforce's everyday working & learning lives.

PDO's L&D provides a unique learning experience for each learner to cater for changes to the learning preferences of the modern learner, who not only want the latest learning programs to take place anywhere but also requires more personalised opportunities for engaging with their peers.

PDO's L&D Academy has adopted a bifocal approach to create and sustain an innovative learning technology culture. The first part is the integration of PDO's Learning Management Systems (LMS) with other HR modules such as performance, and people analytics, which will provide PDO's employees with an integrated talent system. The second part is the transformation of PDO's Learning Technology Ecosystem, and this involves creating a pool of learning modalities leveraging technology to deliver immersive, contextual, and personalised learnings.

PDO's L&D Academy has set up a Creative Multimedia Lab (CML) to introduce the various learning modes. The CML brings awareness to the 4th Industrial Revolution (4IR) technologies such as Virtual Reality (VR) or Augmented Reality (AR) to a broader population in PDO. It also provides the opportunity to demonstrate how can utilise these technologies to customise and enhance learning and the learner's experience. Developing these customised learnings will bring a superior experience to the learners and hence implant lifelong learning in the flow of work cultures in PDO in the long run.
Predicting Project Outcomes with the Association of Project Management
Authors: Robertson Alex
Published: October 2022

Project professionals place great value in accurately predicting project outcomes. Itis therefore unsurprising that there has been a rapid acceptance of a new suite of tools promising to forecastproject outcomes better than ever before.

Within a few years the use of project data analytics has become widespread throughout project delivery organisations; they have become the norm. Most closely associated with dashboards,project data analytics is transforming projects’ ability to see problems sooner and act quicker.

Project data analytics however has not yet been ‘professionalised’.

No single organisation has yet solved how to holistically get the very best out of analytics to deliver more predictable projects, but many are trying across multiple industries. Some organisations have great solutions and ideas, but itis not yet encoded in how the profession delivers.

Petrofac as part of the Project Data Analytics Task Force [1&2], a cross industry working group, have collaborated with the Association of Project Management (APM) [3] to publish a ground-breaking guide[4] designed to help project delivery organisations get started in project data analytics.

In addition, a five step framework*is offered which is designed for project delivery organisations who are further long their journey with analytics. This framework recommends the steps organisations can take to improve their project predictability from basic systems, through to dashboards and onto machine learning and artificial intelligence. It also references the capabilities organisations need to consider forthe benefits to become embedded.

The paper explores how superior project performance is best achieved when project data analytics is blended with the insights and actions our people bring to delivering projects; to improve resultsthis blend of data and people is noted as being essential. The paper highlights this as the most significant factor as to why data analytics programmesmay not bring the value organisations expect and why step 4 (automated performance) of the model is seen as the pivot to success.

On realisation of step 5 (intelligent performance), an organisation would be expected to have embraced the market leading approaches to maximising project performance and be well placed to achieve market leading returns on investment and margin.

The paper advocates that organisations should: Adopt a 3-click rule to project informationSend the right action, to the right person, at the right timeBlend human and data insights by quantifying perceptions and makinginsights actionableAutomate Project Data Analytics into the working rhythm of project delivery

This paper is deliberately aimed at the project professional and not the data science community. It simplifiesthe typical technical jargon around analytics and provides a wide variety of examples, tips and graphics that the project professional can easily relate to.
Quality Hot Spots and Effective Mitigation for Successful Oil and Gas Projects
Authors: Rawat Manish Bhushan , Al Jneibi Hamdan Helal
Published: October 2022

Quality is one of the most important pillars of the project's success. The cost and schedule of an Oil and Gas Project are directly affected by quality failures at any stage. Moreover, hidden quality risks at the facility operation stage can compromise asset integrity and endanger safety.

Stakeholders always strive to comply with quality requirements. Despite the best intentions, Oil and gas projects experience critical quality failures called "Hot Spots" which are a part of most lessons learned.

In this paper, we present several critical Quality Failures that usually occur during Oil and Gas Projects, posing a real danger to the project's completion milestones. In light of this, the top "Hot Spots" identified are:

Lack of attention to EXOTIC materials such as Inconel and Super duplex stainless steel Ineffective FLANGE MANAGEMENT practices in construction Failure to implement proper preservation management practices in construction

Corrosive services in oil and gas facilities require exotic materials such as Inconel and Super duplex Stainless Steel. It is, however, necessary to ensure strict quality control during the manufacturing and fabrication of these materials.

These EXOTIC materials may cause costly delays during start-up or commissioning if manufacturing or fabrication defects are carried over. One of the primary causes is routine Quality Control during manufacturing and fabrication, which is often insufficient. It is imperative to enhance Quality Control as a proactive approach when dealing with exotic materials. Furthermore, the Vendor/Fabricator's manufacturing process and fabrication control and prior performance record specific to these materials must be critically analyzed.

Performing flange management incorrectly can result in repetitive leaks, which impedes commissioning. Also, incorrect bolting or gaskets/sealing materials can have a significant safety impact. The root cause is often a lack of attention during execution and mistaking it for a standard bolt tightening process. The management of flanges requires a holistic approach, including the engagement of Specialized Subcontractors and adhering to written procedures.

Mega Projects require materials and equipment to be stored for months and even years before commissioning can begin. Lack of proper site storage and preservation can impair sensitive instruments, rotating equipment, and cause corrosion issues in piping in the future. As stakeholders prioritize Cost and Schedule in the project, Site Preservation activities receive less attention. Critical materials and equipment may deteriorate as a result. There is a need for early action by project stakeholders and more accountability when it comes to preservation.

According to this paper, project stakeholders should take PROACTIVE measures to avoid these Quality hot spots.
Adoption of Cluster Based Sequestration Strategy for Realizing Net Zero Carbon Emission
Authors: Mohd Radzi Shahrul Nizam Bin , Muhammad Yasin Muhammad Yazuwan Sallij Bin , Muhamad Suhana Binti , Wan Mohd Zamri Wan Fatin Izyan Binti
Published: October 2022

The COP26 climate summit came to a close with renewed global commitments and focused efforts on reducing carbon emissions, aimed to close the gap to limit global warming to 1.5°C. The 1.5°C limit has been projected by scientists as the line in the sand, beyond which the global warming effects would be catastrophic. It is therefore critical, that a comprehensive and integrated strategy is implemented to ensure effective carbon reduction solutions are applied for a sustainable future. Carbon Capture and Storage (CCS), if well planned and implemented effectively, has the potential to help reduce the amount of CO2 emitted to the atmosphere.

When lining out plan for CCS, the analysis covers the following factors: the source and gathering, the capture technology, transportation method and sequestration site selection.

This paper proposes a structured process in examining the above and more importantly focusing on clustering of sequestration site to derive an impactful CCS strategy. This cluster-based strategy will enable monetization of high CO2 fields via a more sustainable development. Systematic screening and selection process ensures the best technologies and development concept were selected during this study. As CO2 sequestration is non-revenue generating, clustering several sequestration developments will allow for CAPEX and OPEX sharing between fields.
Process Override Switch: A New Digital Management Tool to Maximize Transparency and Help the Management of Change Process in a Giant Brownfield Oil Plant
Authors: Rossi Gianmarco , Cadei Luca , Bitetti Michele , Gerardi Rocco , Vaccari Davide , Ghetti Martino , Vavalà Alessandro , Bottani Cristina , Ricci Antonio , La Placa Vittoria
Published: October 2022

In every industrial plant and in particular in a Giant Brownfield Oil Plant, asset integrity management plays a crucial role both in day-by-day activities and in future operations, and it helps to maximize the company value.

This paper presents an innovative digital tool to monitor, track and manage the Process and Maintenance Override Switch (POS and MOS). It includes email alert, historian tracking and it is the basis of the Management of Change (MOC) process of a giant brown oilfield.

This new digital tool relies on the increasing data availability and on the huge opportunity that data democracy enables to production engineers, operators, and plant manager. It combines DCS raw data, event and alarm list, signal condition and inhibits with a storage data tool and the Digital Oilfiled (DOF) to create an Integrated Operation Center (IOC) with a section focusing on barrier panel and asset integrity.

Focusing about the POS and MOS system, the tool read the real time data from the Integrated Control & Safety System (ICSS) and store them in the IOC where the data are accessible to all the production, maintenance and HSE personnel. These data are rearranged in order to focus the attention on risks, safety barriers and related mitigation through the entire plant.

The IOC will automatically send alert email one hour before the shift ending. Control room supervisor together with the Central Control Room (CCR) operators can check all the POS and MOS tracked during the shift and remove the inhibits that are no necessary to the operations.

Thanks to IOC, plant manager and control room supervisor can track new inhibits and report them to the maintenance team or to the production engineers to confirm the proper risk analysis and mitigations actions and initiate the MOC procedure, if needed. MOC are needed to meet the brownfield plant evolution and operating/safety requirements according to internal operations Procedure Instruction (OPI), local and national regulations and international standards.

The IOC and the DOF integrate also the alarm list, in order to improve Alarm Management System and Alarm Rationalization/Reduction activities. It highlights the most frequent alarms and create a collaborative environment in which production, maintenance and automation team can work together to reduce the alarm number and frequency.

This new digital management tool gives a strong contribution to production engineers, plant manager, CCR supervisor and maintenance team to maximize transparency and safety for people, environment and asset. Focus the attention on the process overrides highlights every moment the barrier status panel of the plant and supports the management of change process in a Giant Brownfield Oil Plant creating a collaborative environment based on data availability and data democracy.
Unitized Data Analytics Platform for Oil & Gas Operations a Digitalization Breakthrough
Authors: Choudhary Nitish Kumar , Sivakumar Vinnavadi Chandramouli Babu , Dwivedi Neha Chugh , Suluru Srinivas
Published: October 2022

In the Oil and Gas Industry program generation, reporting and analysis of the drilling process all are conducted at different locations. Existing software's/platforms within the drilling vertical do have live reporting and analysis of time and costs, however they lack details of procedures, step-by-step procedure formulation their interaction during the process. They also do not facilitate generation of the final reports which can include multiple attachments, reports, and analyses. The entire process of using different portals for the preparation, planning, and execution of the same work results in the need of additional personnel and time, resulting in system inefficiencies. What is needed is a single platform which caters to all these functions and provide a workflow that can handle the entire process, including procedure creation or planning, reporting or execution, and data analysis of planned versus executed tasks. This portal will go a long way to help facilitate data analytics and data science trending without consuming further time collecting and collating data.

The proposed portal will consist of workflow of procedure making, reporting and analysis. During procedure making, not only operations part, but attachments, tally, BHA, etc. are defined. Generation of a systematic procedure within seconds saves numerous man-hours. Most important, any numeric data in the entire portal at any stage is taken in variable format also facilitates and simplifies complex calculations that may need the use of an external application. reporting of any procedure is done against the corresponding steps i.e., while the user is writing or detailing the actual job execution part, the program or the procedure is also available against which the execution steps are written. This ensures that no steps in the procedure are missed, resulting in higher quality output. A systematic procedure - report combination provides

A systematic procedure and report generation under one platform reduces multiple applications handling, ensures no human error both in data generation and data reporting, saves enormous time in generation and approval or reports /program, helps in quick calculations of well control parameters and most importantly generates an organized data. The workflow also allows for the standardization of all procedures and the creation of an automated system that reduces human error and effort
Electrostatic Dust Removal for Solar Panels
Authors: Al Teneiji Shamma Saleh , Al Teneiji Sherooq Saleh
Published: October 2022

The world is evolving and developing in various sectors to enhance life which in return is increasing the energy requirements. The development of sustainable energy sources has increased over the years in order to preserve the fossil fuel energy resources such as coal, oil, natural gas, wood etc. which will reduce greenhouse gas emissions and accordingly protect the environment.

As the world moves toward sustainable solutions of clean energy resources for a more environmentally friendly life, the utilization of solar energy has increased. Subsequently, Photovoltaics (PV) panels usage increased tremendously in the recent years. the high efficiency of the PVs is highly impacted by the dust build up causing a big decrease of output power in power output which could reach up to 50% power loss with dust accumulation of 5 mg/cm2 as it be discussed later in paper.

The objective of this paper is to present one of the proposed solutions for cleaning the solar panels and as a result enhance the absorption of solar power and the efficiency of the PV panels. The solution is a waterless approach for dust removal from solar panels using electrostatic induction. This is a new technology which is experimentally tested.

The new technology is a development to Electrodynamic Screens (EDS) technology where particles are electrically conducted actively charged like conductive iron particles where particle lift-off happens when the applied voltage reaches a threshold value that enables particles to overcome the force that adhere them on the surface.

Implementing this technology shall provide a sustainable solution that can be implemented anywhere specially areas where it is difficult to transport water or visit regularly for cleaning.

The technology is still in experimental stages not established or implemented in any existing system. Results are based on theoretical calculation, experimental lab prototype, and conclusions.
Cost Effective Decommissioning Liability Solutions for Offshore Structures
Authors: Boondao Isara
Published: October 2022

The objective of this paper is to provide an outline of current decommissioning guidelines andtypical practices, and to explore cost effective ways in which companies can navigate through this multifaceted process. This is demonstrated via a revealing case study which illuminates an optimum, cost effective decommissioning methodology for offshore facilities and structures, which is closely aligned with emerging decommissioning guidelines and regulations and with industry best practices.

Decommissioning is governed by local regulations and is triggered by a number of specific factors, such as when the remaining reserves are less than 40%, or when the concession has a remaining period of less than 5 years, or in some cases when production has ceased. Normally, at some points in the process, security deposits are placed by the operator, which can be significant. Since this cost is seen as a liability and is based on an estimated decommissioning costs, a cost effective, yet regulatory compliant solution is required. This paper discusses various best practice technical strategies for decommissioning, which can be applied in the South East Asia (SEA) region, and throughout the world. The strategies proposed can result in an estimated operator saving of over 30% over the entire decommissioning execution expenditure. The processes that are discussed are included in the typical steps of preliminary design, detailed design and execution.
Technoeconomic Considerations for Carbon Dioxide Capture and Storage Projects
Authors: Pun Betty Kong Ling , Abazajian Armen , Vlachopoulou Maria , Kamel Tarik Ihab
Published: October 2022

OGCI Climate Investments is an investment organization that specializes in methane, efficiency, and carbon capture, utilization, and storage (CCUS). The team has evaluated many carbon capture and storage (CCS) development stage projects involving elements of the capture, compression, transport, and storage value chain. A set of tools has been formulated for high-level cost estimates that can be used to sense-check developer proposals. The cost tools use publicly available CapEx and OpEx information and engineering best practices for cost-scaling methodologies.

Cost models are constructed in a modular approach, with solvent-based CO2 capture, compression/dehydration, transport, and storage elements, and associated fixed and variable OpEx. The CO2 capture scope is further disaggregated into inside boundary limits (ISBL) and outside boundary limits (OSBL) estimates.

This cost tool has proven to be useful in due diligence exercises for evaluating the merits of proposed projects for investment. Different configurations evaluated include post-combustion carbon capture projects from a variety of flue gas sources with different CO2 concentrations and at different scales, number of parallel trains of equipment, strategies for waste heat, steam or cooling utility supply, configurations to aggregate capture equipment from various sources or to gather CO2 from facilities, disaggregation of equipment in the value chain, etc.

This paper provides hypothetical case studies to illustrate how such cost estimating provides useful insights into the economic viability of different types of projects at various levels of incentives. It also discusses limitations and development trends, such as commodity cycles and related engineering, procurement, and construction costs.