bluuebunny/crossref_metadata_2025_split huggingface dataset:
Menelusuri Sejarah Islam di Pakistan: Eksplorasi Ide Pembaharuan Muhammad Ali Jinnah
Authors: Barella Yusawinur , Kholifatun Umi Nur , Hasaruddin Hasaruddin , Syukur Syamzan 
Published: January 2024

Penelitian ini bertujuan untuk menelusuri sejarah Islam di Pakistan dan mengkaji ide-ide reformasi yang diusung Muhammad Ali Jinnah. Dalam melakukan penelitian ini, peneliti mengkaji visi Muhammad Ali Jinnah tentang negara Islam modern, serta gagasan reformasi sosial, politik, dan budaya yang dianutnya. Peneliti menganalisis dampak ide-ide tersebut terhadap perkembangan Pakistan sebagai negara Islam. Metode penelitian yang digunakan meliputi tinjauan pustaka, pemetaan sejarah, analisis dokumen, dan interpretasi data. Investigasi ini diharapkan dapat memberikan pemahaman mendalam tentang sejarah Islam di Pakistan dan kontribusi Muhammad Ali Jinnah terhadap modernisasi dan reformasi di negara tersebut. Hasil penelitian ini menunjukkan peran besar dari Muhammad Ali Jinnah dalam sejarah Islam di Pakistan, dan memberikan relevansi dan implementasi gagasan reformasi dalam membentuk identitas bangsa. Kajian ini juga bertujuan untuk memberikan pemahaman yang lebih baik mengenai tokoh dan peristiwa berpengaruh dalam sejarah dan perkembangan Islam di Pakistan.
ESTUDOS REALIZADOS SOBRE O TEMA RESPONSABILIDADE SOCIAL: uma visão do comportamento da produção bibliográfica
Authors: Vieira Marli Terezinha , Porto Junior Francisco Gilson Rebouças , Elias Spers Valéria Rueda , Morales Rigoldi Aracelis Gois 
Published: January 2024

O assunto responsabilidade social vem sendo debatido há mais de oito décadas, inicialmente, a nível internacional e a partir dos anos 90 no Brasil, constituindo-se sob diversos enfoques e interesses de diferentes agentes. O presente artigo teve como objetivo mostrar o desenvolvimento desta produção bibliográfica no campo da gestão, mapeando especificamente trabalhos nacionais e internacionais resultantes de estudos publicados no período de 2007 a 2022, em periódicos nacionais e internacionais. Foram analisados os indicadores de autoria, objetivos, metodologia, campo de aplicação e conclusões destes estudos. Os resultados da análise mostraram que o tema se apresenta de forma dinâmica e multidisciplinar e que há necessidade de aperfeiçoamento do conceito. Verifica-se ainda, nos estudos que há variadas concepções do conceito que varia desde filantropia até sustentabilidade, sendo discutido em pesquisas mais recentes indicadores para implantação e mensuração de ações socialmente responsáveis de forma que a teoria seja aliada a prática. Com estes procedimentos se contribui para com a inovação sobre o tema, despertando dessa forma o interesse de pesquisadores bem como empresas e ou organizações na implantação de ações perenes.
Kajian Media Digital dan Media Sosial Akankah Terus Berlanjut?
Authors: Rianto Puji 
Published: January 2024

Sudah beberapa edisi Jurnal Komunikasi menerbitkan artikel dengan mengambil objek kajian media baru, media digital, ataupun media sosial. Aneka penyebutan kajian media ini mengindikasikan kompleksitas masalah. Dalam kajian-kajian akademik, beberapa penulis menyebutnya sebagai media digital seperti kajian Kaul (2012), Thumim & Chouliaraki (2010), Utomo (2022), dan Habibi (2010) untuk menyebutkan beberapa penelitian. Penelitian lainnya menggunakan istilah atau terminologi media baru (Asmar, 2020; Ataman & Çoban, 2018; Baber, 2003; Van Couvering, 2017). Berikutnya, kajian-kajian yang secara khusus memfokuskan analisis pada media sosial yang merupakan bagian dari media baru atau media digital. Dalam satu dekade belakangan, media sosial seperti Facebook, Twitter, Instagram, ataupun TikTok telah menjadi bahan kajian penting. Kajian-kajian itu mempunyai latar belakang keilmuwan yang sangat beragam. Ini berimplikasi pada teori, pendekatan, perspektif yang digunakan juga sangat beragam. Di Indonesia, sebagai ilustrasi, para sarjana dan pengamat Indonesia dari luar negeri telah menempatkan media sosial sebagai objek kajian yang sangat penting. Baulch & Pramiyanti (2018), misalnya, mengkaji bagaimana media sosial Instagram digunakan untuk membangun citra diri sebagai muslimah. Sementara itu, banyak kajian lainnya mengenai media sosial di Indonesia menggunakan perspektif digital activism (Lim, 2017; Saud & Margono, 2021; Suwana, 2020), dan lainnya menggunakan perspektif demokrasi dan pengawasan (surveilance) seperti dikerjakan, misalnya, Masduki (2021), Nurhayati & Suryadi (2017), Putri (2022), dan juga (Saud & Margono (2021).
Identifikasi Kemampuan Berpikir Kritis dalam Memecahkan Masalah Berdasarkan Gaya Belajar
Authors: Sholikah Fitria Riadhatus , Arif Syaiful 
Published: January 2024

Penelitian ini bertujuan untuk mengidentifikasi kemampuan berpikir kritis peserta didik dalam memecahkan masalah berdasarkan gaya belajar visual, audiotori dan kinestetik.pada penelitian ini dirancang menggunakan metode kualitatif dengan pendekatan fenomenologi sedangkan dalam pengumpulan data, penulis menggunakan tes soal kemampuan berpikir kritis dalam memecahkan masalah, angket gaya belajar dan wawancara pada peserta didik. Adapun dalam analisis data, penulis menggunakan analisis Miles dan Huberman dengan tahap reduksi data, penyajia data dan verifikasi data. Dari hasil penelitian adalah kemampuan peserta didik yang bergaya belajar visual dan kinestetik menunjukakn bahwa peserta didik mampu memecahkan masalah, memahami masalah, mengidentifikasi, menilai kreadibilitas, menarik kesimpulan dari suatu permasalahan yang ada dan mampu menjelaskan secara konsep maupun sesuai dengan fakta, serta peserta didik juga dapat memonitori dirinya sendiri dalam menyelesaikan masalah dengan baik. Sedangkan pada peserta didik bergaya belajar audiotori dapat memahami masalah, mengidentifikasi suatu permasalahan, mampu menilai kreadibilitas suatu masalah dan dapat memonitori dirinya sendiri dalam menyelesaikan masalah dengan baik. Tetapi peserta didik yang bergaya belajar audiotori belum mampu menerapkan tahap inferensi, hal ini dikarenakan kesalahpahaman terkait konsep. Sehingga pesertadidik salah dalam menarik kesimpulan pada suatu soal.
Analisis Kemampuan Bertanya Siswa Ditinjau dari Efikasi Diri
Authors: Kunayah Damar , Fauziah Hanin Niswatul 
Published: January 2024

Kemampuan bertanya merupakan kemampuan yang sangat diperlukan oleh siswa, bertanya memudahkan siswa untuk menggali informasi sendiri sehingga lebih mudah untuk memahami materi. SMP Negeri 1 Jenangan memiliki berbagai keunggulan baik IPTEK maupun IMTAQ yang akhirnya mendorong siswa untuk meningkatkan kemampuan bertanya. Penelitian ini bertujuan untuk menganalisis kemampuan bertanya siswa kelas VIII ditinjau dari efikasi di SMPN 1 Jenangan, dan faktor-faktor yang mempengaruhi kemampuan bertanya siswa ditinjau dari efikasi diri di SMPN 1 Jenangan. Penelitian ini merupakan penelitian kualitatif dengan subjek kelas VIII G yang berjumlah 28 siswa. Penentuan sampel dilakukan dengan melakukan tes efikasi kepada siswa, sampel yang digunakan yaitu siswa dengan kategori efikasi diri rendah, sedang dan tinggi. Siswa dengan kategori tersebut selanjutnya diberi tes mengenai kemampuan bertanya. Selanjutnya jawabn tersebut dianalisiss untuk mengetahui kemampuan betanyanya. Hasil penelitian menunjukkan bahwa, siswa yang memiliki efikasi diri tinggi memiliki kemampuan bertanya tinggi, siswa memenuhi seluruh indikator kemampuan bertanya; siswa dengan efikasi diri sedang dalam menyelesaikan tes indikator dari kemampuan bertanya ada beberapa indikator yang belum dapat diselesaikan sehingga belum dapat terpenuhi secara maksimal; siswa dengan efikasi diri rendah memiliki kemampuan bertanya yang rendah pula, mereka belum mampu memenuhi indikator kemampuan bertanya dengan baik. Faktor-faktor yang mempengaruhi kemampuan bertanya diantaranya adalah minat siswa, memiliki perasaan tidak berani, rasa ingin tahu, rasa percaya diri, motivasi, dan lingkungan.
Kadar Ureum dan Kreatinin Tikus Putih (Rattus Norvegicus) Setelah Diberikan Paparan Asap Rokok dan Induksi Ekstrak Etanol Daun Salam (Syzygium Polyanthum)
Authors: Syukriah Syukriah , Amira Siti , Fauziansyah Hidayat , Zaharul Ichsan Muhammad , Novitashari Butar-Butar Tri 
Published: January 2024

Rokok merupakan salah satu produk dagang yang cukup berbahaya karena telah menjadi permasalahan nasional bahkan internasional. Kebiasaan merokok dapat memberikan dampak buruk bagi kesehatan khususnya terhadap kualitas ginjal. Oleh karena itu dibutuhkan penawar alami yang mengandung metabolit sekunder seperti Syzygium polyanthum dalam upaya pengobatan. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian ekstrak etanol S. polyanthum terhadap kadar ureum dan kreatinin tikus putih setelah diberi paparan asap rokok. Penelitian ini merupakan penelitian eksperimental menggunakan rancangan acak lengkap dengan 25 ekor tikus jantan yang dibagi menjadi 5 kelompok perlakuan dengan 5 kali pengulangan. Kelompok 1 diberi pakan dan minum, Kelompok 2 diberi pakan, minum dan paparan asap rokok, Kelompok 3, 4 dan 5 diberi pakan, minum, asap rokok dan ekstrak dengan dosis yang telah ditentukan (62,5 mg/kg BB, 125 mg/kg BB dan 250 mg/kg BB). Data pengukuran kadar ureum dan kreatinin dianalisis menggunakan SPSS dengan uji one way ANOVA (Analysis of Variance) dengan taraf signifikan 5%. Jika berpengaruh maka dilanjutkan dengan uji Duncan’s Multiple Range Test (DMRT). Hasil yang diperoleh menunjukkan bahwa pemberian ekstrak etanol daun salam (S. Polyanthum) memiliki pengaruh terhadap kadar ureum dan kreatinin tikus jantan yang diberi paparan asap rokok dengan nilai taraf signifikan 5%. Pemberian ekstrak etanol daun salam pada kelompok 3 (62,5 mg/kg BB) dan kelompok 4 (125 mg/kg BB) memiliki pengaruh terhadap perbaikan kadar ureum tikus yang dipapar asap rokok. Pemberian ekstrak etanol daun salam pada kelompok 5 (250 mg/kg BB) memiliki pengaruh terhadap kadar kreatinin tikus yang dipapar asap rokok.
Guest Editorial: Unleasing the Power of Customer Advisory Boards Combined With a Customer Value-Based Strategy
Authors: Gray Tracy 
Published: January 2024

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In today’s rapidly evolving business landscape, innovation has become the key to success. Companies that can adapt, innovate, and stay ahead of the curve not only survive, but thrive. To achieve this, a fresh approach to innovation is required: one that harnesses the collective wisdom of customer advisory boards and prioritizes a strategy based on customer value. In this article, we delve into the value of co-creating innovation through these two critical elements.

The Power of Customer Advisory Boards
Customer advisory boards are invaluable assets for any forward-thinking, innovative organization. They are not just a forum for feedback, but a mechanism for co-creating value and fostering innovation. They serve as a strategic tool for an organization to gain valuable insight, enhance customer relationships, and drive innovation. The facilitated collaboration leads to improved products, market-driven innovation, stronger customer relationships, and market success. The diverse backgrounds and expertise of the customers who make up an advisory board provide a holistic perspective that internal teams might lack. Here’s how advisory boards contribute to innovation.
Unbiased Insights and Feedback. Customer advisory board members bring fresh eyes to a company’s products and challenges and provide a structured platform for customers to voice their opinions, share experiences, and offer feedback on products and services as well as the overall customer journey. They offer impartial insights and constructive criticism, allowing for a more accurate assessment of innovation efforts.
Market Validation. These boards typically comprise individuals with deep industry knowledge. Their expertise helps identify emerging trends and opportunities, ensuring that innovation efforts are aligned with industry advancements and customer expectations; thus, avoiding costly misinnovation from misalignment with the market. This ensures that when a product is developed, there is market demand for the product.
Enhanced Customer Relationships. Customer advisory boards can open doors to new partnerships, collaborations, and resources. They connect organizations to a broader ecosystem, fostering innovation through collaboration.
Co-Creation of Solutions. Customer advisory boards enable collaborative problem solving and solutions. Customers, as experts in their fields, actively participate in ideation and development of new products and features to solve their challenges and address future business requirements. This co-creation ensures solutions meet specific customer needs driven by current challenges. A collective voice of the board ensures solutions and products are not too customized for a specific customer but fit the needs of the broader market experiencing the same challenges.
Machine-Learning-Based Solution Predicts Fluid Properties for Gas-Injection Data
Authors: Carpenter Chris 
Published: January 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 211080, “Machine-Learning-Based Prediction of Pressure/Volume/Temperature Fluid Properties for Gas-Injection Laboratory Data,” by Kassem Ghorayeb, SPE, American University of Beirut and Schlumberger; Kristian Mogensen, SPE, ADNOC; and Nour El Droubi, Schlumberger, et al. The paper has not been peer reviewed.

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While machine learning (ML) is used extensively to predict black-oil properties, it is used less often for compositional reservoir properties, including those related to gas injection. Can typically extensive conventional laboratory data be used to help predict the necessary gas-injection parameters? This question is addressed in the complete paper. The authors present an ML-based solution that predicts pertinent gas-injection studies from known fluid properties such as fluid composition and black-oil properties—that is, learning from samples with gas-injection laboratory studies and predicting gas-injection fluid parameters for the remaining, much larger data set.

Methodology
The objective of the ML component is to predict the results of the swelling test using compositional and black-oil properties. Fig. 1 illustrates the three main steps that make up the work flow. The swelling-test data is processed and analyzed for use in the ML training as the first phase in the data-preparation and -analysis process. The following step is ML training, where features are engineered to examine correlations in the data, followed by the training of ML models using selected features and evaluation of the results. The swelling-test data for each fluid sample will be predicted using the trained ML models in the last stage, which creates a digital-twin database for swelling-test results. The three steps are detailed in the complete paper.

Results and Discussion
Several approaches were taken while training the ML model. One approach was to either cluster before the ML training, with one ML model trained for each cluster, or train a single ML model using all the data. The other approach was to use the chain method for the prediction of the outputs. In the chain approach, the outputs are given a specific order and, whenever one output is predicted, it is added to the inputs of the following output. The chain approach is particularly useful when the outputs are correlated.
Technology Focus: Mature Fields and Well Revitalization (January 2024)
Authors: Jain Siddarth 
Published: January 2024

In the relentless pursuit of a sustainable energy future, the often-overlooked potential of mature oil fields emerges as a beacon of hope. Once considered as being on the brink of abandonment, aging reservoirs are proving to be valuable assets as innovative hydrocarbon recovery techniques and re-envisioning of these fields for decarbonization opportunities are transforming them into reservoirs of opportunity.
The sheer scale of mature oil fields globally is staggering. Advanced technologies and techniques, championed by internal initiatives that maximize the use of available data, are breathing new life into these reservoirs. While renewable energy sources are gaining traction, the world still relies heavily on hydrocarbons for its energy needs. One of the key advantages of reusing mature oil fields is the reduction in the need for new exploration and drilling. Exploring and developing new fields can be costly both financially and environmentally. By maximizing the recovery from existing fields, the industry can significantly decrease its ecological footprint and capitalize on the infrastructure already in place.
Furthermore, the economic benefits of repurposing mature oil fields are substantial. The highlighted advancements focus on storage of various gases such as hydrogen, CO2, and natural gas, capitalizing on the knowledge gained from producing these fields for decades. Mature fields provide a bridge between the present and the future, offering a pragmatic solution to meet energy demands while mitigating environmental impact.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 214437 Fluid Modeling of Underground Hydrogen Storage in a Depleted Natural Gas Field by Markus Hays Nielsen, Whitson, et al.
IPTC 22786 Particulate Wellbore Fluid-Strengthening Methodology—Design and Application in an Offshore Vietnam Severely Depleted Sand Reservoir by Dourado Motta Marcelo, SLB, et al.
SPE 213405 Characterizing Movable and Nonmovable Zones in a Mature Carbonate Reservoir: A Novel Work Flow Using Resistivity Logs by Saud Al-Otaibi, Saudi Arabian Chevron, et al.
SPE 214410 A Comparative Study of Hydrogen/Natural Gas Storage in a Depleted Gas Field in the Netherlands Using Analytical and Numerical Modeling by S. Hamidreza Yousefi, TNO, et al.
Approach Maximizes Marginal Field Value by Going Back to Basics
Authors: Carpenter Chris 
Published: January 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 32379, “Marginal Field Value Maximization by Going Back to Basics With Design-to-Value Enhancement,” by Yen P. Chan, Muhammad Y.S.M. Yasin, and Ahgheelan S. Thurai, Petronas, et al. The paper has not been peer reviewed. Copyright 2023 Offshore Technology Conference. Reproduced by permission.

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Value is defined by a quantum of functions or returns received from resources invested. In extremely marginal oil and gas fields, returns hardly meet invested resources profitably. Stranded, widely scattered resources add to the complication. The complete paper shares an approach to notional well- and facility-development concept generation for such fields by shifting emphasis to designing for value to improve project viability rigorously.

Problem Statement Based on Case Study
Case study Field X, located offshore Asia, is one of many oil resources in the region with virgin reservoir pockets and layers that are marginal in volume yet can provide a considerable recoverable volume if developed collectively. However, being horizontally scattered and shallow, with a reservoir true vertical depth (TVD) of less than 2000 m, the field was designed initially with up to 12 wells to maximize reach, thus requiring a large wellhead platform (WHP) at the surface. Gas lift was required from the first day of production, leading to two pipelines at a minimum.
Given the number of wells and surface facilities required, this led to a highly negative economic outcome. To quantify the extent of cost reductions and increase the recoverable targeted resources required to meet targeted economic indicators for a business case, the project team performed a series of sensitivity analyses.
Despite efforts to phase out field development, minimize surface facilities, and simplify well design where possible, the project remained negative in net present value because reducing the number of wells and facilities will lead to a dramatically lower estimated ultimate recovery (EUR), which is the key driver in any oil and gas development. The project team thus was presented with an almost unworkable situation where scope and cost reduction to satisfy economic returns simply meant that installation of neither wells nor facilities was viable.
The authors refer to the approach they describe in the complete paper as “going back to basics.” This approach, coupled with a design-to-value (D2V) approach, was effective in countering seemingly irreversible economic results. This approach is a systematic way to develop an optimal concept for maximum value realization because the agile approach questions every aspect of concept development to achieve minimum technical requirements while providing better clarity in cost/risk tradeoff through concept evaluation in a staircase manner. The process of executing D2V for marginal field development while managing technical risks is detailed in the following subsections for both well design and in facility-concept design.
Technology Focus: Digital Data Acquisition (January 2024)
Authors: Asarpota Jyotsna 
Published: January 2024

Digital data acquisition has revolutionized the oil and gas industry, offering unprecedented opportunities for efficiency, cost reduction, and informed decision-making. Our industry is at the forefront of a digital transformation, where the effective acquisition and use of data have become paramount to success amidst global pressure for energy transition. Recent industry trends have seen a significant shift toward the use of legacy data, the integration of various sources of data, and the application of machine-learning techniques, creating a more dynamic and data-driven landscape.
Machine learning, a subset of artificial intelligence, has become a game-changer where massive data sets from various sources—including drilling, production, and reservoir data—are being analyzed to predict equipment failures, optimize drilling procedures, and improve reservoir management. Machine-learning models also can enhance safety by predicting and preventing accidents, thus reducing downtime and operational risks.
Traditionally, oil and gas companies operated in departmental silos, with different teams managing their data sources independently. Recent industry trends emphasize the integration of various data sources to create a more holistic understanding of reservoirs and operations.
The integration of well logs and seismic data, for example, provides a comprehensive view of subsurface conditions. By combining these data sources, operators can better understand geology and reservoir characteristics to improve exploration and development success.
Furthermore, by continuously monitoring and analyzing reservoir performance using data from drilling, production surveillance, and interventions, operators can make timely adjustments to production strategies, maximizing hydrocarbon recovery and field lifespan.
As technology continues to advance, the industry’s potential for further optimization and growth is boundless. Embracing these digital trends is not just a matter of staying competitive; it’s about ensuring a more sustainable and efficient future for the industry as a whole.
Recommended additional reading at OnePetro: www.onepetro.org.
OTC 32210 Pushing the Limits in Deepwater Data Acquisition for Accelerated Field Development: Industry Record Batch Well Testing by Ozgur Karacali, SLB, et al.
OTC 32643 Evaluation of Loop Current/Loop Current Eddy Fronts To Guide Offshore Oil and Gas Operations by Jill Storie, Woods Hole Group, et al.
SPE 211807 Multifrequency Data-Acquisition Model and Hybrid Neural Network for Precise Electromagnetic Wellbore Casing Inspection by Guang An Ooi, King Abdullah University of Science and Technology, et al.