bluuebunny/crossref_metadata_2025_split huggingface dataset:
Right Lung Agenesis Associated with Dextrocardia in Adulthood
Authors: Krisnanda Made Yogi , Sriandari Luh Putu Feby , Darmayanti Sheila Gerhana , Suwardana Gede Ngurah Rsi 
Published: October 2024

Introduction: Pulmonary agenesis is a rare lung disease, occurring in approximately 1 out of every 100,000 births. Most cases of pulmonary agenesis result in death during the neonatal period. Although survival in cases of pulmonary agenesis is rare, it is possible to encounter lung agenesis in adults.
Case: A 26-year-old female patient presented with progressive dyspnea. On physical examination, retraction of the breathing muscles, reduced chest excursions, and decreased breath sounds on the right side were observed. A chest X-ray raised suspicion of pulmonary agenesis. A computed tomography (CT) scan showed hypoplasia of the right lung, accompanied by mediastinal shift, hyperinflation of the left lung, and retraction of the diaphragm and liver to the right. Spirometry showed moderate obstruction.
Conclusion: Pulmonary agenesis in adult patients is extremely rare. Chest X-rays and CT scans are the main diagnostic modalities for pulmonary agenesis. There is no specific treatment for asymptomatic cases. Management focuses on conservative and symptomatic care.
Creating entrepreneurship opportunities through mobile fish retail outlets in Telangana, India
Authors: Priyanka Mushkam  , Sharma Arpita , Soni Shubham 
Published: October 2024

In recent decades, per capita consumption of aquatic foods has been significantly impacted by increased supplies, changing consumer preferences and technological advancements globally. To support the livelihood of the coastal communities, the Government of India has implemented schemes such as Mobile Fish Retail Outlet (MFRO) under the Blue Revolution (BR) and Pradhan Mantri Matsya Sampada Yojana (PMMSSY). MFRO is a mobile kiosk designed to deliver hygienic fresh fish and Ready to Eat (RTE) products to consumers, aimed at increasing fish consumption and providing employment to fishers. Telangana State where the highest number MFROs (150) have been sanctioned under BR scheme was chosen for a study to assess the profile of beneficiaries, operational details and constraints faced by them. Primary data were collected from 30 MFRO beneficiaries using an interview schedule. The profile of the beneficiaries revealed that 73% belong to backward caste and 87% have land holding between 0.01 to 0.02 acres. About 61% of the MFROs are run by both men and women. Results indicated a statistically significant increase in beneficiary’s income and quantity of fish sold after adoption of the MFROs. The study highlighted that MFROs have created entrepreneurship opportunities for both men and women. However, constraints like parking issues, poor battery backup and excess fuel consumption by vehicles were reported.

Keywords: Beneficiaries, Blue revolution, Fish consumption, Mobile Fish Retail Outlet, Telangana
President’s Column: SPE@Energy Transition
Authors: Houzé Olivier 
Published: October 2024

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Editor’s Note: This is a summary of the October episode of the President’s vodcast. We encourage you to watch the episode to see the full conversation. In this vodcast, Houzé discusses his views on SPE and the energy transition.

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Last month, I presented a to-do list with five main topics: energy transition, finances, governance, membership, and quality.
This month, I will discuss the first topic, energy transition.

1. SPE’s polarized views on energy transition
As I mentioned last month, there are significant geographic contrasts within our industry and SPE regarding how the energy transition is perceived and developed. In some SPE venues and regions, energy transition is the dominant, if not the only subject, and the P in SPE is indeed a major obstacle for support, even from our traditional stakeholders.
In other regions, stakeholders acknowledge the energy transition, but the situation is essentially business as usual. Major investments are underway to sustain production at current levels or even increase hydrocarbon production to record levels, with development plans spanning over several decades. Even in these regions, most, if not all, new projects are designed from the outset to have a low carbon footprint, including mitigating methane emissions. Energy transition is somehow factored in.
So, there are very different narratives, which are reflected in a polite but real polarization within SPE—geographic and, occasionally, demographic. As an SPE President visiting many sections and stakeholders, the contrast is often striking.
But we are engineers operating on the same planet, and there must be a single energy narrative that accounts for the reality of the energy transition in whatever form or definition this takes, locally or globally. To do this, we can try to assess in the most objective way possible how our license to operate may evolve in the short to medium term.
I will start with something you may have seen many times: the three main energy transition scenarios presented by the International Energy Agency (IEA).
These scenarios predict the climate impact by the end of the century based on current and predicted variables, including consumption, population, economics, and technologies. These are just models, but as the statistician George Box pointed out: “All models are wrong, but some are useful.” These IEA models are definitely useful (Fig. 1).
Guest Editorial: Turning Old Data Into New Insights for Better Outcomes
Authors: Cruise Jamie 
Published: October 2024

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I recently read about an archeological study at Interamna Lirenas, central Italy, where a very ordinary Roman settlement; thought to be unpromising, ‘a failed backwater,’ revealed new discoveries that have forced historians to rethink what they believed to be true about the final years of the Roman Empire. The study revealed a town that was thriving for centuries after Roman Italy was thought to have been in decline.
The study’s author and project lead said, “There was nothing on the surface, no visible evidence of buildings, just bits of broken pottery. But what we discovered wasn’t a backwater, far from it. We found a thriving town adapting to every challenge thrown at it for 900 years.” The project lead goes on to say that many other average Roman towns in Italy were just as resilient, “It’s just that archaeologists have only recently begun to apply the right techniques and approaches to see this.”
The story reminded me of the enormous variety and volume of historic data that’s been inaccessible for decades in our industry, trapping knowledge and insights of enormous value. This data is old, but it’s not out of date. In truth, it’s a nice problem to have. If we apply new techniques, we can open a world of new information about an asset, operation, or enterprise.
The data includes commercial field development planning, well logs, drilling reports, consulting, unstructured data reports—all the things that combine with the structured technical information that we get from surveys and planning activities.
This treasure trove of data is untapped due to various reasons—outdated infrastructure, fragmented systems, storage in filing cabinets, siloed databases, and forgotten spreadsheets … bits of broken pottery, if you will.
Often, it’s used once and then never referenced again.
Organizations are wrestling with the challenge of bringing this old data into their business. They need to be able to look at the information, to recognize what it is, know what it means, where it should be filed away. They need to be able to bring it together with other relevant information and contextualize it.
The end goal is to have it available when people come to act, to make decisions. For this, it must be reliable, trusted, and discoverable—and at their fingertips. By the time it reaches people, or artificial intelligence (AI), it must be ready to use.

Connecting Data
One challenge companies face is the mechanical issue of connecting the data—getting it out of these siloed and fragmented systems—and into a system where it can be parsed and understood. Thankfully, in recent years a swathe of good technology products for achieving this at scale have been developed.
Data archaeology in our industry is now a realistic prospect.
Black Sea Rising
Authors: Szymczak Pat Davis 
Published: October 2024

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Saipem’s flagship vessel Castorone was contracted to start work this summer on Turkey’s offshore deepwater Sakarya gas field while neighboring Romania prepared to enter Phase 2 of its Neptun Deep gas project.
Blessed with some of the same source rock as the hydrocarbon-prolific Caspian Sea (they were one sea in the geologic past), the Black Sea has long been regarded as a frontier basin of great promise, but with unique challenges—earthquakes, sheer slopes plunging to 2200-m depths where sediments are unstable, its bottom-water harbors H2S instead of oxygen, and complex life is nowhere to be found.
Straddling Europe and Asia, the Black Sea is surrounded by Turkey, Russia, and other remnants of the USSR and the czarist empire before it: Romania, Bulgaria, Ukraine, and Georgia. There is also only one way in and one way out, via Istanbul and the Bosphorus Strait whose width varies from 3.7 km (2.3 miles) to 750 m (2,450 ft).
The Bosphorus has long been the southern export route for Russian (and Soviet) oil loaded on tankers at Novorossiysk for transport to the Mediterranean, and over years the Black Sea has become crisscrossed by gas pipelines, most notably the Blue Stream and TurkStream, which seemingly cemented Turkey’s role as a transit state and major consumer of Russian gas.
Times, though, have changed.
With energy security through diversity of supply now top of mind, Romania and Turkey are driving their own exploration and production projects to identify and develop deepwater gas reserves to supply domestic needs as they simultaneously strategize to become future exporters through such infrastructure as the Trans Anatolian Natural Gas Pipeline (TANAP) and liquified natural gas (LNG).
Ukraine and Russia, meanwhile, are the wildcards in the region, considering that the largest deepwater deposits in the Black Sea are believed to lie in the unexplored waters of Ukraine.

Neptun Deep To Position Romania as Largest EU Gas Producer
In June 2023, 50/50 partners Austria’s OMV Petrom and Romanian state-owned Romgaz Black Sea Ltd. took a final investment decision (FID) to proceed with their $4.4-billion Neptun Deep gas project, which data and analytics provider Wood Mackenzie (Woodmac) notes, will make Romania the largest gas producer in the EU.
Neptun Deep is the first deepwater development on the Romanian shelf which is part of the northwestern Black Sea Continental Shelf (Fig. 1). According to Woodmac, it was the EU’s largest upstream FID in 2023.
With an estimated 100 Bcm in reserves, Neptun Deep aims to produce first gas in 2027 from two fields: the deepwater Domino gas field at 1000-m depth and the shallow-water Pelican Sud (South) at 120-m depth. The project’s 10 wells will tie back to an unmanned shallow-water platform and will deliver 8 Bcm/yr (775 Mcf/D) of gas at plateau for about 10 years (Fig. 2).
Neptun Deep’s plateau output will boost OMV Petrom’s production mix to 70% gas from the current 50%, a goal the Austrian operator has set for itself by 2030.
Technology Focus: Offshore Drilling and Completion (October 2024)
Authors: Jayakumar Swathika 
Published: October 2024

The evolution of computational technology, coupled with the ability to digitize hardware and engage with end users, has enabled machine learning to enhance operational efficiency, safety, and cost-effectiveness in offshore oil and gas development.
A key takeaway from recent literature is that, while automation tools have been present for years, their widespread adoption has been hindered by a lack of demonstrable financial benefits. To address this, the focus has shifted from mere deployment to achieving real value through significant cost savings, increased safety, and improved operational efficiencies (paper OTC 35137).
Automation efforts in onshore operations prioritize efficiency, while offshore automation must focus on risk reduction and minimizing nonproductive time. For instance, a cutting-edge vessel-motion-prediction tool integrates advanced machine-learning techniques with metocean forecasts to enhance the reliability and safety of offshore drilling operations (paper OTC 35341).
Paper OTC 35418 presents the importance of autonomous inflow-control devices in maximizing the production life of wells in deepwater West Africa, taking into account the various challenging reservoir conditions.
Another critical insight from the research is the role of human intervention in the deployment of automation systems. Successful deployment requires iterative adjustments and feedback from operators to tailor systems to the specific needs of offshore environments. Collaboration among engineers, operators, and decision-makers is essential in refining these technologies to align them with operational goals and safety standards.
Overall, these papers underscore the need for strategic adaptation of automation systems to the specific challenges of offshore environments. The success of predictive machine learning in this context depends on its ability to offer measurable financial benefits, improve safety, and drive operational efficiency.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 218473 Performance Optimization of Water-Injection Wells Using Autonomous Outflow Control Device Technology in Offshore Norway by G.F. Kvilaas, AkerBP, et al.
SPE 218479 Use of Wired Drill Pipe, Along-String Measurements, and Advanced Logging-While-Drilling Imaging Enhances Wellbore-Condition Understanding and Improves Well Delivery Time, While Telemetry-Optimized Ultradeep Resistivity Measurements Enable Precise Geological Well Placement by Stephen Pink, NOV, et al.
SPE 218360 Autonomous Restriction Navigation Through Wellbore in Wireline and Slickline Operations by S. DiPasquale, SLB, et al.
OTC 35394 Intelligent Optimization of Ultradeepwater Oil-Transmission Risers Using an Enhanced Graph Neural Network by Hong Zhu, China University of Petroleum-Beijing, et al.
WITHDRAWN: Optimal configuration of photovoltaic/photothermal /AA-CAES capacity considering combined cooling, heating and power supply
Authors: Wu Chenxi , You wei , Zheng Jing , Huang Jianbo , He Zhongjie 
Published: October 2024

Abstract

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Classification Pipeline for Galactose Oxidase Variants Based on a Combined Transition State Molecular Dynamics and Machine Learning approach
Authors: Rosta Edina , Mateeva Teodora , Klaehn Marco , Fan Hao 
Published: October 2024

Abstract

In recent years, the field of Deep Learning has progressed to the point where a lot of protein properties, especially the ones related to structure, can be predicted with high accuracy. However, catalytic properties in mutated enzymes remain notoriously difficult to predict, due to the many dimensions of the problem. Proteins for which there is scarce experimental data are particularly difficult to handle. Here we propose a combination of a physics-based approach and machine learning to try to overcome some of the limitations for experimental datasets of small size, which cannot utilize Deep Learning architectures. Galactose Oxidase is a copper oxidoreductase that enables the catalytic oxidation of D-galactose and has been the subject of a lot of research in the field of directed evolution. The wild type enzyme has been engineered to convert primary and secondary alcohols, considerably expanding the scope of the native catalytic process, which is limited to D-galactose and only a narrow range of other galactose-containing oligosaccharides. The considerably expanded substrate specificity is often accompanied by a reduced catalytic rate in many of the engineered variants. In this work, we propose an approach to predict the effect of mutations and non-native substrates on the catalytic rate of GO variants. We construct a pipeline comprising of Molecular Dynamics (MD) simulations sampling around a TS-like state and tree-based Machine Learning algorithms utilizing features extracted from the MD simulations. This approach can also be translated to other enzymes and does not require a quantum-level description of the active site, which is more time-consuming.
Mountain Communities' Preferences to Adaptation Strategies for Watershed Management in Changing Climate
Authors: Dhungana Nabin , Lee Chun-Hung , Gentle Popular 
Published: October 2024

Abstract

Mountain livelihoods heavily depend on watershed services. Watershed degradation significantly impacts both the environment and community livelihoods. Climate variability further exacerbates these challenges, reducing essential resources like freshwater, forest products, and agricultural productivity, thereby increasing community hardships and limiting adaptive capacity. Thus, there is an urgent need for community-preferred strategies based on community adaptive capacity and preferences to achieve sustainable watershed management. However, empirical, evidence-based adaptation strategies are often lacking. This study evaluated community preferences for adaptation strategies in the Khageri Khola Watershed, Nepal, using a choice experiment focused on adaptation capacity and willingness to participate. Primary data were gathered through in-depth, semi-structured stakeholder interviews (n = 16) and in-person household surveys (n = 440). Among the ten strategies assessed, five— ‘equipping local communities with technology and technology transfer,’ ‘implementing nature-based solutions,’ ‘establishing watershed-level multi-stakeholder institutions,’ ‘policy formulation based on existing practice and learning,’ and ‘empowering local individuals and organizations’—were statistically significant and preferred for adaptation. The results also indicated diverse preferences based on topographic and socio-demographic characteristics between upstream and downstream respondents, underscoring the need to acknowledge stakeholder diversity. The study developed three distinct watershed management scenarios tailored to decentralized policies and frameworks, offering a roadmap for policymakers and practitioners for fostering watershed adaptive management in agrarian regions like Nepal.
Blood Volume Deficit in Postural Orthostatic Tachycardia Syndrome Assessed by Semi-Automated Carbon Monoxide Rebreathing
Authors: Kulapatana Surat , Urechie Vasile , Rigo Stefano , Mohr Abigail , Vance Yuliya A , Okamoto Luis E , Gambao Alfredo , Shibao Cyndya , Biaggioni Italo , Furlan Raffaello , Diedrich André 
Published: October 2024

Abstract

Purpose: Semi-automated carbon monoxide (CO) rebreathing method has been introduced as a non-invasive and radioactive-free blood volume estimation method. We tested whether the semi-automated CO rebreathing method can detect the blood volume deficit in postural orthostatic tachycardia syndrome (POTS). In addition, we explored the relationship between blood volume estimated from the CO rebreathing and body impedance.
Methods: We recruited 53 subjects (21 POTS females, 19 healthy females, 13 healthy males) to record blood volumes and hemodynamic data. Blood volumes were measured by the CO rebreathing and the segmental body impedance. Linear regression models to predict normal volume of red blood cell volume (RBCV), plasma volume (PV), and blood volume (BV) were developed. Percentage deviations from the predicted normal volumes were calculated.
Results: POTS had lower RBCV (25.18±3.95 vs. 28.57±3.68 mL/kg, p=0.010, POTS vs. healthy females), BV (64.53±10.02 vs. 76.78±10.00, p<0.001), and BV deviation (-13.92±10.38% vs. -0.02±10.18%, p<0.001).
POTS had higher supine heart rate (HR) (84±14 vs. 69±11 bpm, p<0.001) and upright HR (123±23 vs. 89±22 bpm, p<0.001).
We found a correlation between BV deviation and upright HR in POTS (r=-0.608, p=0.003), but not in healthy. Volumes from the CO rebreathing and body impedance were well correlated (r=0.629, p<0.001).
Conclusion: The CO rebreathing method can detect BV deficit, as well as the RBCV deficit in POTS. The negative correlation between BV deviation and upright HR indicates that hypovolemia is one of POTS’ pathophysiological causes. Correlations between body impedance and CO rebreathing volume suggest the usefulness for measurements of volume changes.
Radiological and hydraulic durability of alkali-borosilicate radioactive waste immobilization matrix prepared from industrial waste glass grit: Insights into the microstructure alterations
Authors: Sami N.M. , Moamen O.A. Abdel , Hussein E.M. Abou El , Rahman R.O. Abdel 
Published: October 2024

Abstract

The viability of using alkali borosilicate glasses synthesized from industrial waste glass grit for strontium immobilization is preliminary evaluated by examining the immobilization system structure under normal short-term leaching and harsh conditions. The results designate that strontium is immobilized in alkali-borosilicate(ABS) media structure and led to increasing the structural disorder around the trigonal and tetrahedral units in the glass network. The presence of certain elements such as Na+, K+, Ca2+, Mg2+ are worked as glass modifiers that has donated to strontium immobilization in the glass structure. The chemical structure of both ABS and Sr-ABS samples is stable under the studied 80 KGy irradiation dose and there are breakage of some bonds due to the irradiation exposure. Leaching processes contributing to the cumulative leaching fraction of strontium, boron and sodium were quantified and the main governing leaching process for each studied element was identified. Multi-variate procedure was used to get insight into the effect of the leaching temperature, initial pH and leaching time on the final PH of the synthesized simulant waste matrix and the concentration and normalized leaching fraction of the strontium and sodium elements. The attained normalized release rates of strontium (Nr,i) are within the acceptable range of borosilicate glass at all the studied conditions. For simulated Sr-ABS matrix, strontium element is leached via dissolution and first order reaction, while boron and structural alkali Na are mainly leached via first order reaction.