bluuebunny/crossref_metadata_2025_split huggingface dataset:
Program Penguatan dan Pendampingan Pemanfaatan Website Interaktif Alur Merdeka Pembelajaran Sekolah Dasar Untuk Guru – Guru Sekolah Dasar Mitra UPI Kampus Cibiru
Authors: Kurniawan Dede Trie , Abidin Yunus 
Published: November 2024

Program pengabdian kepada masyarakat ini bertujuan sebagai upaya peningkatan kemampuan guru sekolah dasar mitra UPI Cibiru dalam memanfaatkan produk webiste interaktif alur MERDEKA hasil mahasiswa pascasarajana program studi S2 PGSD UPI Cibiru. Adapun produk pembelajaran yang telah dikembangkan adalah media dan bahan ajar terkini, strategi desain pembelajaran terintegrasi dengan teknologi webiste interaktif untuk pemenuhan keterampilan abad 21 siswa sekolah dasar. Secara rinci, tujuan pengabdian ini dapat diuraikan sebagai berikut : pertama memberikan pengetahuan kepada guru guru SD mengenai perkembangan implementasi kurikulum merdeka, kedua melatih keterampilan guru dalam mengelola pembelajaran dengan integrasi webiste interaktif alur MERDEKA, ketiga melatih dan membimbing guru – guru SD dalam memanfaatkan media pembelajaran SD terkni dengan pemanfaatan teknologi informasi dan komunikasi. Metode yang digunakan dalam kegiatan pengabdian adalah workshop yang dilaksanakan selama bulan April hingga Juni 2024. Evaluasi kegiatan menggunakan model CIPP yang dikembangkan oleh Daniel Stuffleabem. Kegiatan pengabdian ini menargetkan khalayak sasaran adalah guru sekolah dasar mitra Kampus UPI Cibiru. Pada program pengabdian ini akan diselenggrakan kegiatan dengan ketentuan di beberapa wilayah difasilitasi dengan tatap maya, namun di beberapa wilayah akan dijalankan secara tatap muka. Secara garis besar dari kegiatan ini didapatkan respon postif dari peserta guru guru SD mitra UPI Cibiru. Mereka Berharap ada kegiatan Rutin dan terjadwal untuk pelatihan seperti ini agar terus bisa meningkatkan profesi profesional guru sesuai dengan perkembangan ilmu yang daidaptkan di perguruan tinggi.
President’s Column: SPE Finances
Authors: Houzé Olivier 
Published: November 2024

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Editor’s Note: The November edition is a written column only, with the vodcast set to resume next month.

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SPE finances are not the most interesting or exciting topic for most members, and you will be forgiven if you pass this column.
You may not be interested at all if you only want to know what SPE does. However, you may be interested in this column to understand how SPE functions financially.
SPE is not a commercial business, but it has an events business that de facto finances most of its other services to members—direct membership fees are a relatively small part of SPE’s revenue. In the current model, if the events business fails, SPE collapses.
Finances are always important, but they have become critical in the current context, including the 2015 downturn and the 2020 COVID-19 pandemic, especially the latter, which have brought an existential threat to our Society.
As shown in Fig. 1, between 2014 and 2023, we lost 65% of our revenue, 200% of our profit (Net Operating Income), and 50% of our net assets. Even last year, 3 years after the pandemic, we still had an operational deficit of $3.6 million, and this was expected to be a “good year” with Offshore Europe and two Offshore Technology Conference events. Operationally, we are still hemorrhaging money.
SPE’s finances are public, but I thought it would be good to present this information in plain English and with illustrative graphs to explain how we operate financially and how SPE can prevail while its traditional business model is being challenged.
I have occasionally heard and read severe statements about SPE’s financial management, allusions to staff being oversized and overpaid, our lack of willingness to adapt, etc. So, it is also a good opportunity to clear up some of these misunderstandings.

Conventions and Definitions
Until 2024, SPE’s fiscal year (FY) started in April and ended in March. For example, FY24 started on 1 April 2023 and ended on 31 March 2024. This has recently changed and will be explained below.
The numbers presented in this document are consolidated in USD (SPE has several offices handling different currencies) and corrected for US inflation using factors listed in Fig. 2. The reference is the USD from the middle of FY24, i.e., October 2023.
One important result to gauge our operational results is our Net Operating Income (NOI), which would be equivalent to profit if SPE were a commercial venture.
Petroleum Engineering Research Shifts Focus From Oil and Gas to New Horizons
Authors: Fahes M. , Al Shalabi E. W. , Hoffman T. , Anbarci K. , Nuñez-López V. , Dindoruk B. 
Published: November 2024

Undergraduate education in petroleum engineering (PE) has survived the latest downturn in the industry, and enrollment has started to show an uptick in numbers. However, a different trend is evident in graduate training and academic research: the number of researchers being trained in oil and gas topics is drastically dropping.
The story can be summarized in Fig. 1. Funding trends in PE departments have been shifting away from oil and gas research. These shifts require large investments in skill-building, expertise, and laboratory infrastructure, which makes it much harder to reverse the trend. Consequently, the shift may permanently alter the identity of PE departments, something that will not impact only graduate education but could alter the overall identity of these departments and the workforce they train.
The data shared in Fig. 1c shows that more than 50% of the 2023 research awards, which will fund graduate students earning degrees between 2025 and 2026, are going to be invested in geothermal, carbon management, hydrogen, emissions, and other topics that do not support improving oil and gas resource extraction.
While 73% of the 2023 MSc and PhD graduates still studied oil and gas topics around reservoir, production, fracturing, and drilling, as shown in Fig. 1a, this number is expected to drop to under 50% for 2026 graduates. Fig. 1b reveals the accelerated trend of this transition, where only 65% of the publications generated from these departments in 2023 covered oil and gas topics. Under 60% of the 2024 and 2025 graduates who published in 2023 are building expertise in oil and gas research and development.
The team collected data to study the trends over the past 10 years. It included over $137 million in external research funding and over 1,900 thesis/dissertations, in addition to over 1,100 publications in 2023. More details about these numbers can be found in SPE 220735.
The trends in graduate training and research funding over the past 10 years are shown in Fig. 2, where the axis for graduate training is shifted by 3 years to account for the lag between the date funding was received and the graduation date for the students it supported.
When looking at numbers rather than percentages (Fig. 3), oil and gas research funding to four of the major PE departments in the US dropped from $30 million in 2014 to under $10 million in 2023 as shown in Fig. 3a. Funding in these departments now hovers at around $20 million, where the gap was filled by transitioning to the study of sustainable geoenergy topics relating to carbon and hydrogen storage and the extraction of geothermal energy, as shown in Fig. 3b.
Technology Focus: Hydraulic Fracturing Modeling (November 2024)
Authors: McClure Mark 
Published: November 2024

The papers highlighted in this section demonstrate the merging of the theoretical and empirical to solve practical problems, addressing topics such as casing deformation, condensate banking, and mitigation of fracture-driven interactions.
Hydraulic fracture modeling requires blending the theoretical with the empirical. We have a good understanding of the fundamental physics—conservation of mass, continuum mechanics, and so on. However, the devil is in the details, especially when we consider field-scale problems where data are sparse and fracture morphologies are nonideal. What are the appropriate modeling inputs? What constitutive relations should we use to describe the details? What are appropriate assumptions about fracture geometry? These questions are tractable, but they require a humble, empirically driven perspective.
Processes can behave very differently at field scale than at the laboratory scale, so, while bench-top experiments play an important role, we must be primarily driven by measurements gathered in the field.
Beyond pure hydraulic fracture modeling, a variety of numerical modeling approaches can contribute by addressing a particular applied problem. For example, paper SPE 217762 (listed in the Additional Reading section below) performs computational fluid dynamics modeling of fluid flow through perforation tunnels. The goal is to improve the accuracy of the flow allocations derived from fiber-optic measurements, which are important calibration data for perforation design and fracture modeling generally. These data are important because understanding far-field fracture propagation requires characterizing transport in the well and the near-wellbore region.
Recommended additional reading at OnePetro: www.onepetro.org.
URTeC 4044603 Leveraging Oil and Water Time-Lapse Geochemistry and Well Diagnostics To Understand Drainage and Opportunity for Infill Development in a Stacked Pay Asset, Avalon to Wolfcamp, Delaware Basin, New Mexico by Peter J. Jones, Devon Energy, et al.
SPE 214878 Efficient Modeling of Proppant Transport in Multicluster Stages by J. Wang, The University of Texas at Austin, et al.
SPE 217762 Computational Fluid Dynamics Modeling of Acoustics Generated by Fluid Flow Through a Perforation by Yasuyuki Hamanaka, Texas A&M University, et al.
Siberian Greening Enhances Coastal Spring Chlorophyll in Western North America
Authors: Yang Young-Min , Park Jae-Heung , Sung Mi-Kyung , An Soon-Il , Yeh Sang-Wook , Kwon Eun Young , Lee June-Yi , Wang Bin , Li Tim , Park Jong-Yeon , Kug Jong-Seong , Lee Dong-Geon 
Published: November 2024

Abstract

Climate change is driving unprecedented changes in terrestrial and marine ecosystems, with profound effects on global atmospheric dynamics, carbon cycling, and productivity1,2. In particular, Siberia has experienced an earlier onset of the growing season3,4,5 and increased productivity4, contributing to regional warming4,5,6 and altered aerosol emissions7,8. At the same time, coastal spring chlorophyll in the northwestern US and Canada is undergoing significant changes due to coastal upwelling and resulting nutrient enrichment, affecting ecological dynamics and fisheries sustainability9–15. However, trends in the spring chlorophyll and its future changes remain uncertain. This study shows a significant increasing trend in coastal spring chlorophyll along the west of North America, associated with enhanced northerly winds induced by Siberian spring greening under greenhouse gas warming. Increased warming in Siberia, associated with spring greening, induces positive atmospheric pressure and northerly winds along the northwest coast of North America during spring. These winds drive enhanced upwelling, leading to elevated nitrate concentrations and significant spring chlorophyll blooms. Model simulations incorporating current and future CO2 forcings consistently confirm the observed increase in chlorophyll levels along the coastal waters of northern California, Oregon, Washington, and southern British Columbia. This study underscores the central role of Siberian spring greening in shaping the Northeastern Pacific Ocean spring ecosystem. The results highlight the complex linkages between terrestrial greening, atmospheric teleconnections, nutrient cycling, and marine ecosystems. A comprehensive understanding of these linkages is critical for predicting and managing the impacts of greenhouse gas-induced warming on fish catches and broader ecosystem dynamics. This research will help refine predictions and develop strategies to mitigate the broad impacts of climate change on marine ecosystems.
Genetic Diversity of Plasmodium falciparum and Plasmodium vivax Field Isolates from the Nowshera District of Pakistan
Authors: Hayat Chandni , Kamil Atif , Khan Asifullah , Sayed Aniqa , Akbar Kehkashan , Afridi Sahib Gul 
Published: November 2024

Abstract

Background
The genetic diversity of malaria parasites contributes to their ability to adapt to environmental changes, develop drug resistance and escape from the host immune system; hence, it is very important for control measures of malaria. This study aimed to analyse the genetic diversity of the pfmsp1 and pfmsp2 genes in P. falciparum and the Pvmsp-3α gene in P. vivax isolates from District Nowshera in Pakistan.
Methods
Blood samples from 124 consenting patients with uncomplicated malaria presenting to different hospitals of district Nowshera were collected during March-August 2019, representing 28 P. falciparum and 96 P. vivax isolates. DNA from all samples was subjected to nested PCR-based allele-specific marker analysis. Pvmsp-3α amplified fragments were further treated with restriction fragment length polymorphism (RFLP)-based Hha1 restriction enzyme.
Results
In P. falciparum, 21 alleles were detected, including 14 alleles for Pfmsp-1 and 7 alleles for Pfmsp-2. The suballelic families MAD20 (50%) in the Pfmsp-1 family and FC27 (75%) in the Pfmsp-2 family were predominant. The multiplicity of infection (MOI) was calculated as 1.4 and 1.2 for Pfmsp-1 and Pfmsp-2, respectively, with an overall mean MOI of 1.34. In P. vivax, 4 allelic variants, Type A-D, were detected for Pvmsp-3α through nested PCR, while after RFLP digestion of amplicons, 9 suballelic variants (A1-A4, B1, B2, C1, C2 and D1) were observed at the Pvmsp-3α locus.
Conclusion
This first ever report of molecular characterization of P. falciparum and P. vivax genotypes from District Nowshera, Pakistan reveals moderate to high allelic diversity in these parasites from District Nowshera, Pakistan.
Methoxyflurane in early analgesic therapy by ski patrol members on Swiss ski slopes – an observational cohort study
Authors: Benz Lena , Knapp Jürgen , Roten Fredy-Michel , Huber Markus , Steffen Richard 
Published: November 2024

Abstract

Background
Pain therapy is an important first-response measure in the pre-clinical care of trauma patients. Injured individuals on ski slopes are usually given first aid by members of the ski patrol. The early implementation of adequate pain therapy by these paramedical rescuers can increase patient satisfaction and have a positive effect on the entire treatment process. In this context, we analysed the administration of methoxyflurane by ski patrol members on Swiss ski slopes.
Methods
In this retrospective observational study, we evaluated 172 datasets, of which 149 concerned patients who were administered methoxyflurane. These datasets were taken from a quality-control survey related to the administration of methoxyflurane by members of the ski patrol in seven ski resorts in the Swiss Alps. The data was collected in the winter months of 2022/23. The ski patrol members had been previously trained by medical professionals and employed methoxyflurane following a defined algorithm, according to which patients with an initial numeric pain score of ≥ 4 qualified for the use of methoxyflurane. After each treatment, data on effectiveness and feasibility were collected by means of a standardised questionnaire. The primary outcome was defined as achieving effective pain therapy, which was designated as a reduction on the numerical rating scale of two or more points and a pain score of seven or less after administration. We then performed a linear regression analysis with the relative pain reduction as the outcome and sex, age, ski resort and injury class as covariates.
Results
Methoxyflurane led to effective pain reduction in around two-thirds of patients on the ski slopes and was easy to use for trained ski patrol members. Median pain reduction was 2 points (interquartile range: 1 to 3) on the NRS scale. The regression model showed lower reduction in pain in lower extremity injuries. Sex, age and initial pain score were not associated with the extent of pain reduction. No serious side effects were observed.
Conclusion
The administration of methoxyflurane by trained ski patrol members is a safe and effective option for early pain management in ski slope injuries. Methoxyflurane could thus represent a useful bridging measure, enabling the ski patrol to relieve moderate to severe pain until professional rescue services arrive. However, it does not seem ideal for lower leg injuries.
Diagnostic performance of ChatGPT in tibial plateau fracture in knee X-ray
Authors: Mohammadi Mohammadreza , Parviz Sara , Parvaz Parinaz , Pirmoradi Mohammad Mahdi , Afzalimoghaddam Mohammad , Mirfazaelian Hadi 
Published: November 2024

Abstract

Purpose
Tibial plateau fractures are relatively common and require accurate diagnosis. Chat Generative Pre-Trained Transformer (ChatGPT) has emerged as a tool to improve medical diagnosis. This study aims to investigate the accuracy of this tool in diagnosing tibial plateau fractures.
Methods
A secondary analysis was performed on 111 knee radiographs from emergency department patients, with 29 confirmed fractures by computed tomography (CT) imaging. The X-rays were reviewed by a board-certified emergency physician (EP) and radiologist and then analyzed by ChatGPT-4 and ChatGPT-4o. The diagnostic performances were compared using the area under the receiver operating characteristic curve (AUC). Sensitivity, specificity, and likelihood ratios were also calculated.
Results
The results indicated a sensitivity and negative likelihood ratio of 58.6% (95% CI: 38.9% − 76.4%) and 0.4 (95% CI: 0.3–0.7) for the EP, 72.4% (95% CI: 52.7% − 87.2%) and 0.3 (95% CI: 0.2–0.6) for the radiologist, 27.5% (95% CI: 12.7% − 47.2%) and 0.7 (95% CI: 0.6–0.9)for ChatGPT-4, and 55.1% (95% CI: 35.6% − 73.5%) and 0.4 (95% CI: 0.3–0.7) for ChatGPT4o. The specificity and positive likelihood ratio were 85.3% (95% CI: 75.8% − 92.2%) and 4.0 (95% CI: 2.1–7.3) for the EP, 76.8% (95% CI: 66.2% − 85.4%) and 3.1 (95% CI: 1.9–4.9) for the radiologist, 95.1% (95% CI: 87.9% − 98.6%) and 5.6 (95% CI: 1.8–17.3) for ChatGPT-4, and 93.9% (95% CI: 86.3% − 97.9%) and 9.0 (95% CI: 3.6–22.4) for ChatGPT4o. The area under the receiver operating characteristic curve (AUC) was 0.72 (95% CI: 0.6–0.8) for the EP, 0.61(95% CI: 0.4–0.7) for ChatGPT-4, 0.74 (95% CI: 0.6–0.8) for ChatGPT4-o, and 0.75 (95% CI: 0.6–0.8) for the radiologist. The EP and radiologist significantly outperformed ChatGPT-4 (P value = 0.02 and 0.01, respectively), whereas there was no significant difference between the EP, ChatGPT-4o, and radiologist.
Conclusion
This study showed that ChatGPT-4o had the potential to significantly impact medical imaging diagnosis.
Enhancing Perioperative Decision-Making: Utilizing Machine Learning to Predict Postoperative Stroke Following Craniotomy
Authors: Lu Tianyou , Wang Chengyu , Luo Tongsen , Lu yaxin , Li Liping , Li Wenjing , Cai Jun , Chen Chaojin , Hei Ziqing 
Published: November 2024

Abstract

Objection:
Postoperative stroke (PS) represents a significant and grave complication, which often remains challenging to detect until clear clinical symptoms emerge. The early identification of populations at high risk for PS is essential for enabling timely intervention and enhancing postoperative outcomes. This study seeks to employ machine learning (ML) techniques to create a predictive model for PS following elective craniotomy.
Methods
This study encompassed a total of 1,349 cases that underwent elective craniotomy between January 2013 and August 2021. Perioperative data, encompassing demographics, etiology, laboratory results, comorbidities, and medications, were utilized to construct predictive models. Nine distinct ML models were developed for the prediction of PS and assessed based on the area under the receiver-operating characteristic curve (AUC), along with sensitivity, specificity, and accuracy metrics.
Results
Among the 1,349 patients included in the study, 137 cases (10.2%) were diagnosed with PS, which was associated with a worse prognosis. Of the nine ML prediction models evaluated, the logistic regression (LR) model exhibited superior performance, as indicated by an AUC value of 0.741 (0.64–0.85), and competitive performance metrics, including an accuracy of 0.668, sensitivity of 0.650, and specificity of 0.670. Notably, feature importance analysis identified "preoperative albumin," "ASA classification," and "preoperative hemoglobin" as the top three factors contributing to the prediction of PS.
Conclusion
Our study successfully developed a real-time and easily accessible parameter requiring LR-based PS prediction model for post-elective craniotomy patients, which enhanced perioperative decision-making.
Association between frailty and physical-psychological multimorbidity in middle-aged and elderly Chinese adults: Evidence from the China Health and Retirement Longitudinal Study (CHARLS)
Authors: Fei ZhiYing , Qian Yin , Tu YingYing , Wu chunqiao 
Published: November 2024

Abstract

Background As the population ages, chronic diseases, frailty, and physical-psychological multimorbidity (PP-MM) increase. However, the association between frailty and PP-MM remains unclear. This study aimed to investigate this relationship in middle-aged and elderly Chinese individuals. Methods This study used four waves of data from the Chinese Longitudinal Study of Health and Aging. Frailty was assessed using the frailty index (FI), and physical illness was defined as having one or more self-reported chronic diseases. Psychological status was examined using the 10-item version of the Centre for Epidemiological Studies Depression Scale. The participants were inquired about any previous diagnoses of affective, emotional, nervous, or psychiatric disorders. PP-MM was defined as the concurrent presence of two kinds of diseases (physical illness and psychological disorders). The relationship between FI and PP-MM was evaluated using COX risk regression models and restricted cubic spline (RCS) curves. Results This study included 10,707 subjects, and after adjusting for potential confounders, the HR was 3.01 (95% confidence interval (CI) = 2.05–4.23) for pre-frail and 6.11 (95% CI = 3.79–9.84) for frail. COX regression analysis indicated a potential association between FI and PP-MM progression. RCS analysis revealed that the risk of PP-MM prevalence increased faster with an FI between 0.10 and 0.25. Conclusion Our study suggests that FI is positively associated with the prevalence of PP-MM and that the pre-frail phase may be a better opportunity to implement interventions for PP-MM prevention, with early monitoring of FI to identify patients at high risk for PP-MM and to provide direction and rationale for preventing PP-MM.