bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intention offloading: Domain-general versus task-specific confidence signals
Authors: Sachdeva Chhavi , Gilbert Sam J. 
Published: February 2024

AbstractIntention offloading refers to the use of external reminders to help remember delayed intentions (e.g., setting an alert to help you remember when you need to take your medication). Research has found that metacognitive processes influence offloading such that individual differences in confidence predict individual differences in offloading regardless of objective cognitive ability. The current study investigated the cross-domain organization of this relationship. Participants performed two perceptual discrimination tasks where objective accuracy was equalized using a staircase procedure. In a memory task, two measures of intention offloading were collected, (1) the overall likelihood of setting reminders, and (2) the bias in reminder-setting compared to the optimal strategy. It was found that perceptual confidence was associated with the first measure but not the second. It is shown that this is because individual differences in perceptual confidence capture meaningful differences in objective ability despite the staircase procedure. These findings indicate that intention offloading is influenced by both domain-general and task-specific metacognitive signals. They also show that even when task performance is equalized via staircasing, individual differences in confidence cannot be considered a pure measure of metacognitive bias.
The role of word form in gender processing during lexical access: A theoretical review and novel proposal in language comprehension
Authors: Sá-Leite A. R. , Lago S. 
Published: February 2024

AbstractIn contrast to language production, there are few comprehension models of the representation and use of grammatical gender in long-term memory. To bridge this gap, we conducted a systematic review of empirical studies on the role of gender-form regularities in the recognition of nouns in isolation and within sentences. The results of a final sample of 40 studies suggest that there are two routes for the retrieval of gender during real-time comprehension: a form-based route and a lexical-based route. Our review indicates that the use of these routes depends on the degree of gender transparency of the language and the degree of overtness of the experimental paradigm. To accommodate these findings, we incorporate a dual-route mechanism within a general model of lexical access in comprehension, the AUSTRAL (Activation Using Structurally Tiered Representations and Lemmas) model, and identify directions for future research.
Tinjauan Atas Penanganan Keluhan Pelanggan Pada Hotel The Mirah Bogor
Authors: Nurmayani Nazia , Nurendah Yulia , Pujiastuti Sri 
Published: February 2024

Industri perhotelan di kota Bogor semakin berkembang seiring dengan terus bertambahnya jumlah hotel yang ada di kota Bogor. Hal ini menyebabkan adanya persaingan yang ketat sehingga perusahaan harus memiliki kualitas pelayanan yang baik agar dapat bersaing, penanganan keluhan pelanggan adalah salah satu cara dalam meningkatkan kualitas pelayanan. Penelitian bertujuan untuk mengetahui : 1) Bagaimana penanganan keluhan pelanggan pada Hotel The Mirah. 2) Hambatan dalam penanganan keluhan pelanggan pada Hotel The Mirah. 3) Bagaimana upaya untuk mengatasi hambatan dalam penanganan keluhan pelanggan pada Hotel The Mirah.
Berdasarkan hasil dari tinjauan ini, diketahui bahwa : 1) Hotel The Mirah menangani keluhan pelanggan dengan metode ILEAD (Identify, Listen, Empathize, Apologize, dan Deliver solution). 2) Terdapat hambatan dalam penanganan keluhan pelanggan yaitu mengetahui karakter pelanggan, tingkat kepuasan tamu yang berbeda, dan Tamu menyampaikan keluhan tanpa melihat keadaan. 3) Adapun upaya yang dilakukan oleh Hotel The Mirah dalam menangani hambatan tersebut yaitu dengan memberikan pelayanan terbaik, bekerja dengan profesional sesuai dengan prosedur perusahaan, dan melakukan peningkatan fokus dan cepat tanggap dalam melakukan penanganan keluhan pelanggan.

Kata kunci keluhan pelanggan, pelayanan
OBSERVASI PROGRAM PENGENALAN LAPANGAN PERSEKOLAHAN (PLP) II DI PAUD TERPADU CITRA BAKTI
Authors: Ngura Elisabeth , Wona Melania Santika , Wangge Elisabet Klaudia , Wea Maria Rosari 
Published: February 2024

PAUD merupakan singkatan dari Pendidikan Anak Usia Dini. Anak merupakan individu yang belum dewasa. Sedangkan anak usia dini merupakan anak yang berada pada rentang usia 0 sampai 6 tahun Pengenalan Lapangan Persekolahan (PLP) merupakan salah satu mata kuliah wajib yang harus ditempuh oleh seluruh mahasiswa STKIP Citra Bakti Ngada yang mengambil jurusan kependidikan. Dalam pelaksanaannya, mahasiswa melaksanakan tugas-tugas kependidikan dan tenaga pendidik dalam hal ini guru yang meliputi kegiatan praktek mengajar atau kegiatan kependidikan lainnya.
Jenis penelitian ini adalah penelitian lapangan (field research) dalam bentuk penelitian deskriptif yang menggambarkan mengenai situasi-situasi atau kejadian-kejadian. Penelitian yang berusaha memuat deskriptif fenomena yang diselidiki dengan cara melakukan dan mengklasifikasi fakta atau karakteristik fenomena tersebut secara faktual
UPAYA MENINGKATKAN HASIL BELAJAR NUMERASI MELALUI METODE PROBLEM-BASED LEARNING PADA PESERTA DIDIK KELAS VI UPTD SD NEGERI DAMU
Authors: Anu Maria Kalista , Bhoke Wilibaldus 
Published: February 2024

Tujuan penelitian ini adalah untuk mengetahui peningkatkan hasil belajar numerasi melalui metode problem based learning ( PBL ) pada peserta didik kelas VI UPTD SD Negeri Damu. Subjek penelitian adalah peserta didik kelas VI yang terdaftar di UPTD SD Negeri Damu sebanya 7 orang. Teknik pengumpulan data melalui observasi, catatan lapangan, dokumentasi, wawancara dan tes. Data dikumpulkan kemudian dianalisis menggunakan teknik persentase. Hasil penelitian menunjukkan bahwa pembelajaran numerasi khususnya pada kelas VI sudah mulai meningkat. Hal ini dilihat dari perolehan nilai rata-rat dari hasil belajar numerasi siswa yang sebelumnya 5,27% naik menjadi 6,21%. Nilai rata-rata tes akhir yang diberikan pada masing-masing siklus meningkat. Nilai rata-rata tes akhir hasil belajar matematika sebesar siswa pada siklus I sebesar 60,9 pada siklus II sebesar 70 dan pada siklus III sebesar 85,5. Jumlah siswa yang mencapai kriteria prestasi rendah juga mendaptkan peningkatan. Pada siklus I jumlah siswa sebanyak 3 orang sebanyak 42,85%, pada siklus II ada berjumlah 2 siswa sebanyak 28,57% dan pada siklus III berjumlah 2 siswa sebanyak sebesar 28,57%.
IMPLEMENTASI NILAI-NILAI KARAKTER BAGI PESERTA DIDIK MELALUI KEGIATAN PENDAMPINGAN IMAN DI SD INPRES MALAFAI
Authors: Malo Martha , Ngura Elisabeth Tantiana , Dhiu Konstantinus Dua , Nafsia Andi 
Published: February 2024

Pendidikan karakter merupakan aspek penting dalam pembentukan pribadi dan moral peserta didik. Salah satu metode yang efektif dalam mengimplementasikan nilai-nilai karakter adalah melalui kegiatan pendampingan iman. Kegiatan ini bertujuan untuk mendiskripsikan implementasikan nilai-nilai karakter peserta didik melalui kegiatan pendampingan iman di UPTD SD Inpres Malafai. Penelitian ini menggunakan jenis penelitian deskriptif kualitatif. Metode obesrvasi, wawancara dan dokumentasi.
Subyek dalam kegiatan adalah siswa-siswa UPTD SD Inpres Malafai dengan jumlah peserta didik 64 siswa. Hasil penelitian ini menunjukkan Pendidikan karakter memiliki makna lebih tinggi dari pendidikan moral, karena pendidikan karakter tidak hanya berkaitan dengan masalah benar – salah, tetapi bagaimana menanamkan kebiasaan (habit) tentang hal-hal yang baik dalam kehidupan sehingga peserta didik memiliki kesadaran dan pemahaman yang tinggi serta kepedulian dan komitmen untuk menerapkan kebajikan dalam kehdupan sehari-hari. Pembinaan iman merupakan sebuah kegiatan pengembangan untuk membentuk kepribadian seseorang melalui berbagai kegiatan yang benilai religius. seperti sekami, katekese, berdoa bersama, ziarah bersama, baca kitab suci, sharing bersama, ibadah bersama serta peneguhan-peneguhan yang bertujuan baik.
Pendidikan karakter merupakan aspek penting dalam pembentukan pribadi dan moral peserta didik. Salah satu metode yang efektif dalam mengimplementasikan nilai-nilai karakter adalah melalui kegiatan pendampingan iman. Kegiatan ini bertujuan untuk mendiskripsikan implementasikan nilai-nilai karakter peserta didik melalui kegiatan pendampingan iman di UPTD SD Inpres Malafai. Penelitian ini menggunakan jenis penelitian deskriptif kualitatif. Metode obesrvasi, wawancara dan dokumentasi.
Subyek dalam kegiatan adalah siswa-siswa UPTD SD Inpres Malafai dengan jumlah peserta didik 64 siswa. Hasil penelitian ini menunjukkan Pendidikan karakter memiliki makna lebih tinggi dari pendidikan moral, karena pendidikan karakter tidak hanya berkaitan dengan masalah benar – salah, tetapi bagaimana menanamkan kebiasaan (habit) tentang hal-hal yang baik dalam kehidupan sehingga peserta didik memiliki kesadaran dan pemahaman yang tinggi serta kepedulian dan komitmen untuk menerapkan kebajikan dalam kehdupan sehari-hari. Pembinaan iman merupakan sebuah kegiatan pengembangan untuk membentuk kepribadian seseorang melalui berbagai kegiatan yang benilai religius. seperti sekami, katekese, berdoa bersama, ziarah bersama, baca kitab suci, sharing bersama, ibadah bersama serta peneguhan-peneguhan yang bertujuan baik.
Digital Twin System Utilizing Hybrid Approach of Physics Model and Machine Learning for Pipe Stuck Early Identification and Warning Based on Real-Time Data
Authors: Zhang Jiawei , Wang Haige , Ji Guodong , Zhuo Lubin , Zhao Zhixue , Liu Xiaoao , Chen Weifeng 
Published: February 2024

Abstract
Pipe stuck accident is one of the primary causes contributing to NPT (Non-Productive Time) in the drilling industry, incurring global financial losses amounting to hundreds of millions annually. For decades, Practices and techniques have been formulated and developed to avoid and tackle this downhole accident, while the early detection and proactive management are critical for effectively preventing this issue at its early stage.
This paper presents the development and implementation of a novel digital Twin system, which amalgamates physics-based modeling and machine learning to facilitate real-time monitoring and early warning of pipe stuck while drilling. The system performs a real-time simulation of hook load, torque, and SPP (Standpipe Pressure) under various drilling states based on T&D and wellbore hydraulics models, which undergo verification and calibration within predefined computing cycles in order to enhance accuracy and reduce error margins. The PSRI (Pipe Stuck Risk), ranging from 0-100%, is based on ROC (Rate of change) of these three actual drilling parameters and the deviation of the simulated value from actual ones under different drilling states, is proposed to provide a comprehensive risk assessment over time series regardless of drilling state. A Continuous, real-time assessment of pipe stuck risk, categorized into low (green), medium (yellow), and high (red) levels, can be realized with thresholds for parameter deviation and ROC derived from historical data of wells with and without pipe stuck accidents and RFA (Random Forest Algorithm).
The system is designed to alert users such as drillers or monitoring specialists with visual and auditory signals when a high-risk scenario is detected, prompting immediate preventative or corrective actions. Case studies have shown that the system could provide early warnings of high-risk of pipe stuck typically between 30 minutes to 2 hours ahead, particularly during back-reaming and tripping operation. This capability demonstrates the system’s effectiveness in early identification and detection of this downhole accident under different drilling states.
The system exemplifies a paradigm shift towards more efficient, safe, and predictive operational modes for early detection and warning of pipe stuck, demonstrating digital twin-driven technique could enhance the capture and utilization of digital data for cost containment and operational efficiency gains while drilling, thereby minimizing NPT and enhancing drilling optimization.
A Review of Pipeline - Geohazard Interaction Analysis, Inspection and Monitoring Technologies for Onshore Pipeline in Tropical Region
Authors: Putra I. W. E. , Rohani M. J. , Lam C. M. , Ting D. S. , Nazmi M. A. M. 
Published: February 2024

Abstract
Pipeline is an integral part of onshore oil and gas infrastructures, transporting hydrocarbons across vast distances. Long distance pipelines that traverse through remote and mountainous region in tropical region are vulnerable to geohazards, such as landslides and soil erosion caused by high rain intensity, which may result in significant damage to the pipeline infrastructures, posing serious risks to public safety and the environment. This technical paper presents a comprehensive review and gap analysis of the current state of knowledge on pipeline-geohazard interaction analysis, inspection, and monitoring technologies for onshore pipeline in tropical region. The objective of this paper is to provide a comprehensive understanding of the potential geohazard impacts on pipelines and the best practices for mitigating these risks, hence preventing pipeline failures, environment damage as well as expensive intervention cost of repair. The paper discusses the various types of geohazards that can impact pipelines (pipeline – geohazard interaction). It also includes various inspections and monitoring as a mean to mitigate pipeline overstress conditions, such as remote sensing technologies, autonomous unmanned vehicles inspection technologies, inline inspection technologies, magnetic inspections as well as geophysical surveys and real-time monitoring systems. The gaps and limitations of these technologies are examined and areas for further research and development are identified. A case study on failures due to pipeline-geohazard interactions is also included. This case study provides valuable insight into importance of accurate inspection and monitoring to derive correct prediction of soil degradation. It also highlights the importance of proper pipeline design, monitoring, inspection, and maintenance practices in mitigating the risks posed by geohazards. In summary, this technical paper provides a comprehensive review on pipeline-geohazard interaction analysis and monitoring technologies for onshore pipeline infrastructures. The importance of understanding and mitigating the risks posed by geohazards to pipeline infrastructures and the best practices for ensuring the safe and reliable operation of pipeline systems in tropical region were highlighted. Some recommendations for future study include the need for more robust geohazard monitoring technologies, the importance of integrating geohazard analysis into pipeline design and construction processes, and the need for improvement in inspection, monitoring, and integrated pipeline – geohazard interaction analysis.
Machine Learning Prediction of the Lost Circulation Events at the Well Planning Stage
Authors: Guillot Valerian , Ruzhnikov Alexey , Corona Mauricio , Karpfinger Florian 
Published: February 2024

Abstract
Well construction process is often accomplished by multiple challenges, where lost circulation is one of the having most sifnificant impact. The downhole losses, partial or total, in many cases associated with karst, fractures, caverns or large voids, which cannot be identified at the well design stage with standard practices. The manuscript provides the detailed approach how the machine learning has been used to predict the loss circulation events at the planning stage.
The novel approach is based on the 3 main pillars: data preparation, the machine learning itself and the model application. The data preparation includes some manual work, when the attributes of the offset wells shall be analyzed – daily reports (over 80 million sentences, in this specific case), including the losses depths; the trajectories, and the identification of lost circulation events on them; the microresistivity and caliper logs, recorded both across lost circulation zones and competent formations; and the seismic attributes, total 15 were picked.
As a result, the 3D points with the attributes and labels for lost circulation events were created, where the Machine Leaning (ML) was applied. ML part includes the split of all the wells in 66/33 proportion, with study been performed in 66% of the wells, with further tune of the results. As the result the machine learning is applied to the seismic attributes and the trajectories to determine the risks of the lost circulation events. The model shows a low specificity in predicting the high probability of the lost circulation events, but a high specificity in predicting locations with a low probability of the lost circulation.
Using the proposed approach, it is possible now to plan a well trajectory in such way, that probability of the losses are reduced by up to 95%. The proposed workflow can be incorporated in the entire well construction process from the start of a location preparation, to ensure the new trajectory (without losses) can reach the target zone. As well it helps at the planning stage to allocate the resources and material required to cure the expected losses or to execute the blind drilling.
A Novel Photocatalytic Integrated Carbon Capture and Utilization (ICCU) Approach for Conversion of CO2 to Methanol in Amine Solution
Authors: Tai X. H. , Zain M. Md , Saleh S. M , Quek V. C. , Oh P. C. 
Published: February 2024

Abstract
Conventional CO2 utilization methods are often complex and costly. This is due to the requirement of capturing, purifying, storing, and transporting the CO2 feedstock prior to utilization. Recently, a new approach, namely Integrated Carbon Capture and Utilization (ICCU) has emerged, which allows the direct utilization of CO2 at the capture site such as an acid gas removal unit (AGRU). In this study, we introduce a novel ICCU method wherein CO2 captured in an amine-based solvent is directly converted into methanol via photocatalysis. A magnesium-doped titanium dioxide (Mg-TiO2) photocatalyst was synthesized via a one pot hydrothermal method. The synthesized photocatalyst was characterized using XRD, UV-Vis, BET, and XPS techniques. After 24 hours of UV-A photocatalysis, the Mg-TiO2 photocatalyst achieved a methanol yield of 31.49 μmol/gcat.h, which was 2.4 times higher than that of anatase TiO2 (12.94 μmol/gcat.h). Moreover, the Mg-TiO2 catalyst displayed excellent recyclability, maintaining its efficiency for up to 6 cycles of photocatalysis. This enhanced performance can be attributed to the presence of the Mg dopant, which improved CO2 adsorption and suppressed charge recombination rates. Furthermore, after 144 hours of photocatalysis, the amine solution exhibited minimal loss of alkalinity, indicating good retention of amine health. Notably, 8% of the loaded CO2 was stripped off from the amine after 144 hours, demonstrating that the photocatalysis system can serve as a 2-in-1 system, where CO2 was converted into methanol while simultaneously regenerating the amine's CO2 capturing capacity. This study presents the first report ICCU strategy employing photocatalysis.
Digital Twin for Oil Rim Management Using Early Warning System and Exception Based Surveillance, Offshore Malaysia
Authors: Amir M. Mahamad , Wei T. Nian , Bahrim R. Kamarul , Piah M. B. Mat , Tewari R. D. , Kechut N. , Razak A. Abdul , Manaf N. Abdul , Castillano E. 
Published: February 2024

Abstract
Effectively managing oil rim reservoirs poses significant challenges due to uncertainties in predicting oil rim movements. This leads to production losses, high gas-to-oil ratios (GOR), increased water cut, and the risk of losing the oil rim. To address these issues, a proof of concept for an early warning system was developed, utilizing innovative data analytics techniques and leveraging well data, such as pressure and temperature measurements, to detect changes in water cut as an indicator of oil rim movement. The workflow involves data extraction, pre-processing, regime detection, trend analysis, and exception-based surveillance with alerts. A selected oil-producing well with ample flow line pressure, temperature, and well test data was used to test the workflow. Pipesim modeling indicated a clear correlation between temperature and water cut, validated through sensitivity analysis at different GOR levels. The technology provides an integrated workflow covering data management, analytics, an event detection alert algorithm, and a visualization dashboard. It is not intended to replace existing oil rim management tools but serves as an additional decision support tool when reliable models are unavailable. The early warning system presented in this paper addresses the limitations of current methods by offering a proactive approach to detect fluid movements and mitigate production losses. By integrating novel data analytics techniques and utilizing readily available well data, operators can make informed decisions and take timely actions, improving the efficiency and effectiveness of oil rim management in petroleum operations. This technology serves as a valuable decision support tool in the absence of reliable models, ultimately enhancing the overall performance of oil rim management strategies.
Enhanced Gas Recovery from High CO2 Natural Gas Injection in Gulf of Thailand
Authors: Leemasawatdigul J. , Kessadayurat P. , Attavitkamthorn V. , Wichaisorn W. , Suthipintawong T. , Boonmeelapprasert C. , Suphawechraksakul P. , Adisaipattanakul N. , Punglusamee K. , Worasuk S. , Thatmali P. 
Published: February 2024

Abstract
This project is one of the first successful field tests and commercial implementation of enhanced gas recovery (EGR) for a depleted gas reservoir by injecting a natural high-carbon dioxide (CO2) gas stream in the Gulf of Thailand. It has demonstrated that injection of CO2-containing gas stream into a natural gas reservoir is a promising win-win technology for ultimate recovery improvement of natural gas in depleted reservoirs and CO2 sequestration. To evaluate the effectiveness of EGR, the test was conducted in depletion-drive sandstone gas reservoirs. EGR was initiated when the primary gas recovery was mostly realized. Injection of natural gas with around 60% CO2 from deeper formations in the same area yielded an incremental gas recovery of 8% to 10% of original gas in-place in one successful candidate, demonstrating the recovery enhancement potential in such reservoirs. Increasing ultimate recovery of a depleted gas reservoir and enhancing hydrocarbon recovery helps supply extra energy to the Kingdom of Thailand and power more electricity generation. The additional production has generated multi-million USD in revenue not only for the country mainly in form of royalty and petroleum income tax, but also for the company. Another obvious benefit of this project is a positive environmental impact. Its outcome helps reduce the emissions of greenhouse gas in the atmosphere by sequestering large amounts of CO2 in a depleted gas reservoir. This underground storage option is considered economical and have a low environmental impact. Therefore, the project delivers positive environmental change.Besides the fact that we are implementing this pilot, we believe this project can also be adopted by operators in other fields on a very broad sense and scale. With favorable size of opportunities, it can be economic to inject high CO2 gas from surface compressors. This will enable the operator more flexibility in term of source of high CO2 gas and injection rate. Along with all those mentioned above, the project contributes to sustainability and innovation for the exploration and production industry in Thailand.