bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Uncertain Bright Future of Underground Hydrogen Storage
Authors: Jacobs Trent 
Published: May 2023

The most obvious obstacles to a big ramp-up in global hydrogen production are well known. They include technological breakthroughs to bring down production costs along with new sources of demand from the power and transportation sectors.
Less obvious is that a small army of reservoir engineers, geologists, and other subsurface experts will be needed to understand where and how tomorrow’s hydrogen hubs will store their clean-burning fuel.
Bulk storage on the surface is considered by many experts to be simply out of the question. That means large hydrogen projects will need a subsurface component, and some think depleted oil and gas fields—with an emphasis on the latter—may fit the bill. Saline aquifers are being eyed for the role too.
But as this all suggests, no one has ever attempted to use these formations for hydrogen storage. Just four shallow salt formations, three salt domes in Texas and one salt field in the UK, represent the totality of the world’s hydrogen underground storage (HUS) capacity.
Research is underway to expand HUS in salt formations but that will not solve for the fact that they are not a geologic option for many locations where big industrial players are hoping to produce hydrogen. This includes most of Europe and most of the US outside of its Gulf Coast states.
By contrast, deeper sedimentary structures of various flavors are in no short supply but lack any material field experience that might help jumpstart the de-risking of storing several Bcf of hydrogen.
The upstream industry’s extensive experience in operating what are the closest analogues—natural gas storage and carbon capture and storage (CCS)—will help that process but there are new challenges when it comes to injecting the universe’s smallest molecule into porous media.
Topping the list is hydrogen’s strong propensity to migrate inside a reservoir (laterally and vertically) along with the potential for troublesome chemical and biological reactions.
Hydrogen may also be clean burning but it offers only about a third of the energy density as methane, which means it needs roughly three times the storage volume to deliver the same energy output to a gas-fired power plant.
Among those working to bring clarity to such issues is Mojdeh Delshad, a reservoir engineer and professor at The University of Texas at Austin. Her latest research involved using commercial reservoir simulators to model what would happen if selected gas fields and saline aquifers in the US used for CCS or natural gas storage were instead used to store hydrogen.
“We wanted to know about the challenges of hydrogen, which because of its properties—very low density, very low viscosity—is going to move in the reservoir much more quickly than CO2 and methane. And that’s exactly what we found, which means we’re going to have to do something differently with hydrogen storage in order to capture and produce what is injected,” said Delshad.
Review Spotlights Methane Detection, Quantification Technologies
Authors: Carpenter Chris 
Published: May 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 205166, “Deployment of Methane Detection and Quantification Technologies,” by Noor A.A. Talip, Mohd H.M. Pikri, and Shahrul A.Z. Abidin, Petronas, et al. The paper has not been peer reviewed.

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In supporting the energy transition, a need exists to improve accurate quantification and reduction of methane emissions and determine long-term reduction targets to drive the competitive advantages of natural gas as a low-carbon fuel. The complete paper reviews an initiative taken to measure baseline data for methane emissions for gas-processing facilities and gas-transmission and regasification units through the use of accurate measurement tools and methodologies.

Introduction
A methane quantification tool has been developed in-house by Petronas, with two of the operator’s business units as the first users. Methane emission is quantified based on methane sources listed in the Oil and Gas Climate Initiative Guidelines. The quantification covers the following methane-emission sources based on applicability to sample plants:
- Unintended release (fugitive leaks, loss of primary containment)
- Intended release (venting and flaring of hydrocarbon, stationary combustion, compressor seals, and pneumatic controls and pumps)
Methane-emission volume from fugitive leaks, compressor seals, and pneumatic devices had not been quantified accurately by the operator until before the development of its methane-quantification tool. Much of the complete paper is dedicated to describing methodologies used to detect and quantify methane emissions; this synopsis identifies those methodologies but directs the reader to the complete paper for fuller discussions thereof, as well as equations used in those methodologies.

Methodology
Fugitive Leaks. Global fugitive-emission standards for quantification are nonbinding, regardless of regulations or policies. Nevertheless, the oil and gas industry is still working to develop regulations for methane-emission measurements for effective monitoring and, ultimately, setting the targets for emission reduction. The choice of methods to estimate emission depends on how the estimates will be used and the degree of accuracy required. Methods using site-specific data from direct measurement are preferred. Table 1 of the complete paper shows the fugitive-emission-quantification methodologies sorted into inclining order with respect to accuracy.
The methodology-complexity level can be depicted per the terminology in Fig. 1. The five methods are described by the authors, and detailed in the complete paper, as the following:
- Method 1: Facility-/plant-level average emission factors
- Method 2: Equipment-level average emission factors
- Method 3: Device-component-level average emission factors
- Method 4: Alternative-leak/no-leak emission factors for optical-gas-imaging technologies
- Method 5: Screened value correlation approach
Foot Dominance and Minor Physical Anomalies in Schizophrenia. Relations Between Two Biological Markers of Aberrant Neurodevelopment
Authors: AKABALIEVA KATERINA , AKABALIEV VALENTIN , SIVKOV STEFAN , KOTETAROV VASIL , BESHKOV ASEN 
Published: May 2023

Abstract
Background
The aim is to investigate the frequency of left foot dominance and minor physical anomalies (MPAs) in patients with schizophrenia and control subjects and to determine the relations between these two biological markers of neuronal dysontogenesis in schizophrenia.
Methods
A Combined Foot Dominance Scale consisting of two subscales - Chapman & Chapman Foot Dominance Subscale, supplemented with a new Complex Tasks Subscale, containing tasks for measuring spontaneity, precision, strength, and balance - and 7 MPAs were assessed in a sample of 180 subjects (98 schizophrenia patients and 82 controls). We introduced mean left-footedness as a new, more sensitive measure of left foot dominance in detecting a difference between subjects with schizophrenia and control subjects and enabling comparison of the important mean left-footedness sum of a whole foot set.
Results
Left foot dominance is significantly higher in subjects with schizophrenia. Left foot dominance subjects are more often associated with MPAs. There is a significant positive correlation between left-footedness and MPAs. Dextrality vs. sinistrality is not a categorical variable, but is rather expressed on a continuum due to the very complex bio-psycho-social-cultural influence on its genesis.
Conclusions
As hand dominance is under cultural pressure, left foot dominance is a useful, reliable, culturally independent indicator of altered hemispheric lateralization. Significant positive correlations between left-footedness and MPAs are an important additional evidence of the neuronal dysontogenesis in schizophrenia. The higher co-occurrence of two biological markers of dysontogenesis - left-footedness and MPAs - in one subject becomes a stronger reliable index of underlying aberrant neurodevelopment.
Trimethylamine N-oxide impairs β-cell function and glucose tolerance
Authors: Kong Lijuan , Zhao Qijin , Jiang Xiaojing , Jiang Qian , Sheng Li , peng xiaohong , Wang Shusen , Chen Yibing , Hou Shaocong , liu Xingfeng , Ma Chunxiao , Hu Jinping , Li Yan , Quan Li , Chen Liangyi , Cui Bing , LI PINGPING 
Published: May 2023

Abstract
β-cell dysfunction, manifested as impaired glucose-stimulated insulin secretion (GSIS), and β-cell loss, presented as dedifferentiation, inhibited transcriptional identity and death, are the hallmarks of type 2 diabetes. Trimethylamine N-oxide (TMAO), a gut microbiota metabolite, has been shown to play a role in cardiovascular disease. Here, we found that plasma TMAO levels are elevated in both diabetic mice and subjects and that TMAO at a similar concentration of diabetes could directly decrease β-cell GSIS in both MIN6 cells and primary islets from mice or humans. Elevation of TMAO levels through choline diet feeding impairs GSIS, β-cell proportion, and glucose tolerance. Inhibition of TMAO production through either genetic knockdown or antisense oligomers of Fmo3, the TMAO-producing enzyme, improves β-cell GSIS, β-cell proportion, and glucose tolerance in both db/db and choline diet-fed mice. Mechanistically, TMAO inhibits calcium transients through Serca2. Additionally, long-term TMAO exposure promotes β-cell ER stress, dedifferentiation, and apoptosis and inhibits β-cell transcriptional identity. These observations elucidate a novel role for TMAO in β-cell dysfunction and maintenance, and inhibition of TMAO could be a new approach for the treatment of type 2 diabetes.
Malnutrition, sarcopenia and cachexia: exploring prevalence, overlap and perceptions in older adults with cancer
Authors: Patterson Michael , Paton Lewis , Currow David , Johnson Miriam , Bullock Alex 
Published: May 2023

Abstract
Background:
Older adults with cancer are a growing population requiring tailored care to achieve optimum treatment outcomes. Their care is complicated by under-recognised and under-treated wasting disorders: malnutrition, sarcopenia, and cachexia. We aimed to investigate the prevalence, overlap, and patients’ views and experiences of malnutrition, sarcopenia, and cachexia, in older adults with cancer.
Methods:
Mixed-methods study with cross-sectional study and qualitative interviews. Interviews were thematically analysed through a phenomenological lens, with feedback loop analysis investigating relationships between themes and findings synthesised using modified critical interpretative synthesis.
Findings:
n=30 were screened for malnutrition, sarcopenia, and cachexia, n=8 completed semi-structured interviews. 18 (60.0%) were malnourished, 16 (53.3%) sarcopenic, and 17 (56.7%) cachexic. One or more condition was seen in 80%, and all three in 30%. In univariate analysis, Rockwood clinical frailty score (OR 2.94 [95% CI:1.26–6.89, p=0.013]) was associated with sarcopenia, reported percentage meal consumption (OR 2.28 [95% CI:1.24–4.19, p=0.008]), and visible wasting (OR 8.43 [95% CI:1.9–37.3]) with malnutrition, and percentage monthly weight loss (OR 8.71 [95% CI:1.87–40.60]) with cachexia.
Screening tools identified established conditions rather than ‘risk’. Nutritional and functional problems were often overlooked, overshadowed, and misunderstood by both patients and (in patients’ perceptions) by clinicians; misattributed to ageing, cancer, or comorbidities. Patients viewed these conditions as both personal impossibilities, yet accepted inevitabilities.
Conclusion:
Perceptions, identification, and management of these conditions needs to improve and their importance recognised by clinicians and patients so those truly ‘at risk’ are identified whilst conditions are more remediable to interventions.
Predicting Topographic Collapse Following Lava Dome Growth Using High-Resolution PlanetScope Images in Indonesia
Authors: Saepuloh Asep , Anas Nur Ayu , Kriswati Estu , Sakti Anjar Dimara , Prambada Oktory 
Published: May 2023

Abstract
This study describes a rare case of lava dome growth at Mt. Ibu in West Halmahera Regency, North Maluku Province, Indonesia that filled the inner crater and even exceeded the outer crater rim at the northern flank. The lava dome growth caused concern due to the rapid volumetric change, which is usually followed by topographic collapse, producing hazardous pyroclastic flows and debris avalanches. Based on the condition of Mt. Ibu, we calculated the lava dome area and volume of Mt. Ibu using PlanetScope images and a national digital elevation model, respectively. Comparing the lava dome volume to the crater space, we tried to predict the area and time of the future topographic collapse. We calculated the time series of the lava dome volume from January 2020 to August 2022 to predict the time of the maximum volume of the outer crater rim using autoregressive integrated moving average (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) models. According to the time series, Mt. Ibu was beyond the critical conditions for collapse when the volume of the lava dome reached the outer crater rim by approximately 0.114 km3 or an area of 1.47 km2. Then, the ARIMA and SARIMA predictions were estimated convergently, and the critical condition was predicted to be achieved in 2037. The confidence level of the ARIMA model was presented by the root mean squared error (0.008 km2) and mean absolute percentage error approximately (0.554%). Moreover, for the SARIMA model, these values were approximately 0.009 km2 and 0.397%, respectively.
Unveiling the role of metabolic rates variation in driving tumor heterogeneity and controlling growth and invasion: insights
from an integrated multiscale in-vitro in-silico framework
Authors: Akbari Mohsen , Amereh Meitham , Shojaei Shahla , Walsh Tavia , Dogra Prashant , Cristini Vittorio , Nadler Ben 
Published: May 2023

Abstract

The three-dimensional (3D) structure of solid tumors inherently limits oxygen and nutrient diffusion to deeper cells, resulting in morphological and metabolic variations. Non-physiological levels of oxygen and nutrients within the tumors result in heterogeneous cell populations that exhibit distinct necrotic, hypoxic, and proliferative zones. Among these zonal cellular properties, metabolic rates strongly affect the overall growth and invasion of tumors. Here we report on a hybrid discrete-continuum (HDC) mathematical framework that uses data from a biomimetic three-dimensional (3D) in vitro cancer model to accurately predict cancer growth and treatment response. The mathematical model integrates the continuum field of variables with a discrete approach and incorporates the random walk method for individual cell migration. By tracking the moving boundary of tumoroids, the HDC model separates volumetric growth from invasion. Invasion direction asymmetries were incorporated into the model by involving a randomness component in cellular migration mechanisms when determining the invasion direction. The model also accounts for mechanical and cellular interactions in tumor microenvironment (TME) as key factors characterizing tumor progression. The in-vitro model is composed of tumor organoids (called tumoroids) co-cultured with healthy neurons all embedded within a hydrogel matrix. Results indicated that the HDC model quantitatively predicts volumetric growth and invasion length and tracks the finger-type invasion pattern observed in the in-vitro model. This
model has the potential to investigate inhibitory drug effects with the addition of a reaction-diffusion equation and incorporation of targeted signaling pathways in the continuum and discrete modules, respectively.
Research and design experience of Qilu Petrochemical-Shengli OilField 1 million tons/year CCUS project capture and transport unit
Authors: Lu Shijian , Yang Fei , Liu Ling , Kang Guojun , Yu Xulin , Li Qingfang , Chen Hongfu , Wu Tingyou 
Published: May 2023

Abstract
The background of China's first million-ton CCUS (carbon capture, utilization, and storage) project that has been constructed is introduced, a molecular sieve dehydrating agent and MellapakPlus™ regular filler is used, the compression-condensation-purification process to recover CO2 is described, new energy-saving processes such as lithium bromide cooling water unit to recover waste heat for cooling and expansion generator unit to recover tail gas pressure energy to generate electricity are designed, and the High-pressure liquid-phase pipeline transport, proposed the layout and land area of the project, analyzed the consumption of public works of the capture system and transport system, conducted health, safety, and environmental protection instructions, proposed the analysis and testing category table, carried out energy consumption analysis and economic analysis, and the conclusion of the study shows that the project is technically and economically feasible. The study shows that the comprehensive energy consumption per unit product of the capture unit is 63.263 kg of standard oil/t CO2; the total investment (excluding tax) reported for the capture part of CO2 is 38,000,000 RMB, and the total investment (excluding tax) reported for the pipeline transportation part of CO2 is 275,727,800 RMB; the sales price (excluding tax) of the project CO2 is 194.4 RMB/t at a yield of 8%.
Latent class analysis of depressive and anxious symptoms among Chinese rheumatoid arthritis patients
Authors: Zhang Lijuan , Zhu Weiyi , Wu Beiwen 
Published: May 2023

Abstract
Background: Depression and anxiety create additional burdens for adults with rheumatoid arthritis (RA), negatively affecting disease outcomes and quality of life. Therefore, this study aims to identify symptom patterns of depression and anxiety and explore the influencing factors; In addition, we want to investigate the relationships among different symptom profiles and quality of life in Chinese RA patients.
Methods: A total of 355 RA patients (including 293 females, age = 55.05 ± 13.04 years) were recruited in this study. Depression and anxiety symptoms were assessed using the Hospital Anxiety and Depression Scale. We applied latent class analysis to identify distinct symptom subgroups of depression and anxiety in RA patients. The latent class subtypes were compared using the One-way ANOVA or chi-square test. Multinomial logistic regression was performed to examine associations between identified classes and related factors.
Results: We identified 3 distinct symptom patterns or classes in this study, including the high depressive and anxious symptoms, the moderate depressive and anxious symptoms and the mild anxiety symptoms. The number of RA patients in each class is 131, 72 and 152 respectively. The multinomial logistic regression revealed that compared with the mild anxiety symptoms group, the associated factors of depression and anxiety in other two subgroups were pain and functional capacity. Additionally, we found that different symptom profiles were significantly associated with quality of life in Chinese RA patients.
Conclusions: As is known to us, this is the first latent class analysis that categorized the symptom subgroups of depression and anxiety in Chinese RA patients. Our findings suggested that the main factors influencing the high and moderate depressive and anxious symptoms groups are pain and functional capacity and different symptom profiles were significantly associated with quality of life. Rheumatologists and nurses should provide targeted psychological interventions according to different symptom patterns to promote the quality of life among RA patients.
Cross-cultural adaptation and measurement properties of the Persian version of the Modified Cincinnati Knee Rating System (MCKRS)
Authors: Mirghaderi Peyman , Sajjadi Seyed Mohammad , Omid Reza , Pashapour-Yeganeh Amirreza , Nezhad Saman Ghiasi , SM Javad 
Published: May 2023

Abstract
Background
The Modified Cincinnati Knee Rating system (MCKRS), a brief 8-item subjective survey which provides information on the symptom and functional limitations induced by daily activities and sports and assesses patient’s satisfaction.
Purpose
to examine cross-sectional adaptation and validation of the Persian translation of modified CKRS.
Methods
Original MCKRS was translated to Persian forward and backward according to international standard guidelines. We utilized Cronbach’s alpha test, and the spearman ρ coefficient for test-retest reliability. we assessed reliability of questionnaire using Cronbach’s alpha and the spearman ρ coefficient, for test-retest reliability. A total of 101 patients completed Persian version of MKCRS and other relevant scales including: HSS-ACL satisfaction, visual analogue scale (VAS), Tegner activity score (TAS), Cincinnati and Lysholm scores.
Results
using Persian version of modified version of CKRS, the internal consistency (Cronbach’s alpha) was 0.9 (if item deleted: 0.81–0.86); the construct validity (Pearson’s r) varied between − 0.50 (for VAS pain) and 0.79 (for Lysholm); the reliability (intraclass correlation coefficient) varied between 0.82–0.97; in addition, no ceiling or floor effect was present.
Conclusion
The Persian Modified Cincinnati knee rating system has adequate measurement properties and is considered a valid and reliable instrument which can identify clinical outcomes after ACLR surgery
Value of magnetic resonance angiography before prostatic artery embolization for intervention planning
Authors: Boschheidgen Matthias , Ullrich Tim , Al-Monajjed Rouvier , Ziayee Farid , Michalski Rene , Steuwe Andrea , Minko Peter , Albers Peter , Antoch Gerald , Schimmöller Lars 
Published: May 2023

Abstract
Knowledge about anatomical details seems to facilitate the procedure and planning of prostatic artery embolization (PAE) in patients with symptomatic benign prostatic hyperplasia (BPS). The aim of our study was the pre-interventional visualization of the prostatic artery (PA) with MRA and the correlation of iliac elongation and bifurcation angles with technical success of PAE and technical parameters. MRA data of patients with PAE were analysed retrospectively regarding PA visibility, PA type, vessel elongation, and defined angles were correlated with intervention time, fluoroscopy time, dose area product (DAP), cumulative air kerma (CAK), contrast media (CM) dose and technical success of embolization. T-test, ANOVA, Pearson correlation, and Kruskal-Wallis test was applied for statistical analysis. MRA identified the PA origin in 126 of 147 cases (accuracy 86%). Vessel elongation affected time for catheterization of right PA (p = 0.02), fluoroscopy time (p = 0.05), and CM dose (p = 0.02) significantly. Moderate correlation was observed for iliac bifurcation angles with DAP (r = 0.30 left; r = 0.34 right; p = 0.01) and CAK (r = 0.32 left; r = 0.36 right; p = 0.01) on both sides. Comparing the first half and second half of patients, median intervention time (125 vs. 105 min.) and number of iliac CBCT could be reduced (p < 0.001). We conclude that MRA could depict exact pelvic vessel configuration, identify PA origin, and might obviate iliac CBCT. Vessel elongation of pelvic arteries increased intervention time and contrast media dose while the PA origin had no significant influence on intervention time and/or technical success.