bluuebunny/crossref_metadata_2025_split huggingface dataset:
Women, Homeland and Memories: Feminist Yan Geling’s Writings
Authors: Li Katherina 
Published: March 2023

Yan Geling, a feminist of Chinese origin, is a gifted and successful storyteller and creator of characters. However, despite a widespread contribution, Yan Geling’s writings are not popular in the West and remain in a marginalised position. A qualitative case study of Yan Geling’s writings will fill in the literature gap to understand those marginalised Chinese women’s voices. This study examines the work of Yan Geling by applying various observations and data sources. It concentrates on her depiction of her homeland: her fiction takes place in realistic settings during the turbulent years of the 20th Century. Nevertheless, Yan Geling’s works, particularly her writings on women’s situations using a feminist lens, have rapidly increased in recent years. This perspective is an attempt to reflect on Yan Geling’s novel, the analysis of which are more likely to contribute to future Chinese feminist studies.
Guest Editorial: Recycling CO2 for EOR? Why Not?
Authors: Tveiten Ole Gunnar 
Published: March 2023

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Carbon capture and storage (CCS), with the potential for usage, will be crucial if the world is to prevent global warming. Modeling by the European Commission shows that the EU will need to capture, utilize, or store between 300 and 640 million tonnes of CO2 every year by 2050 if it wants to meet its climate-neutrality goal. It is therefore imperative that all industries, particularly the oil and gas sector, play their part to incentivize the development of new storage while enhancing the use of available producing facilities.
Speaking at the second CCUS Forum, held in October in Oslo, Norway, the EU’s energy chief Kadri Simson announced that captured emissions can be either stored or recycled into other industrial processes. Though it wasn’t directly stated by the Estonian politician, enhanced oil recovery (EOR) via CO2 injection should be considered as a viable option to both store and reduce emissions. It is important to emphasize that the amount of stored CO2, as a function of EOR, will be greater than CO2 emissions created from oil extraction.

CO2 for EOR in US and Canada
Since the 1970s, this has been a routine procedure in many US and Canadian projects with mature reservoirs and is usually instigated after the effect of injected produced water has worn off. It has been achieved without government support.
While Norway has been injecting captured CO2 in saline aquifers since the mid-1990s, there has been no attempt, and no plans exist, in Europe to use CO2 for EOR.
Why not?
Balancing increasing energy demand while lowering greenhouse gas (GHG) emissions is one of the greatest conundrums facing the industry today: global consumption is currently around 100 million B/D.
According to IEA’s 2022 World Energy Outlook, there are three scenarios. The APS (announced pledges scenario) assumes fossil-fuel demand will peak in 2024 with 98.1 million B/D. The STEPS (stated policies scenario) projection is peak demand in 2035 at 103.2 million B/D, before going into steady long-term decline (Fig. 1). If the NZE (net zero emissions) scenario comes to pass, oil demand never returns to its 2019 level. It foresees demand falling by 2.5% each year on average between 2021 and 2030, and by just under 6% each year from 2030 to 2050.
Adopting EOR technologies and upscaling CCS infrastructure could be the answer to meet energy demand and lower emissions before green energy claims the forecast largest stake of the energy mix by mid-century.

Exploiting Hydrocarbon’s Heritage and CCS
Globally, there are 30 CCS projects in operation, 11 are under construction, and 153 are in development. Sixty-one new facilities were added to the project pipeline in 2022. The CO2 capture capacity of all CCS facilities has grown to 244 mtpa, a rise of 44% over the past 12 months (Global CCS Institute 2022).
Technology Focus: Drilling Automation and Innovation (February 2023)
Authors: Ochoa Danny 
Published: March 2023

With the arrival of the digital age, solutions in big data, automation, and artificial intelligence are rapidly opening the door to a deeper and more-comprehensive understanding of drilling operations around the world. The exponential growth in data acquisition, modeling, and prediction capabilities allows multiple drilling teams to identify hidden patterns and correlations to deal with the most-complicated challenges in well construction.
In related SPE papers, it was interesting to read about promising initiatives undertaken by operators, service companies, and academia, not only to recognize details on past drilling events but also to accurately simulate, anticipate, and automate complex situations. Topics such as machine learning for improved decision-making, equipment-failure prediction, well placement lookahead, and autonomous operations have attracted great interest from the industry.
Therefore, demand for a skilled workforce in digital technologies will continue to grow in drilling-related disciplines and new information and technology work flows will be incorporated into the well life cycle.
As the active rig count continues to increase, safety must remain top priority for drilling operations. Advances in digital technologies and automation contribute to this objective while keeping a focus on cost management, operational consistency, and carbon-footprint reduction. Ongoing actions will also help to accelerate the development of geothermal energy as part of the future mix of renewables.
The selected papers highlight some interesting contributions to drive innovation and promote efficient use of processes and technologies.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 205899 Measurements During Drilling Through an Innovative Microchip Technology To Determine Accurate Wellbore Properties for Efficient Drilling Operations by Zuyang Zhu, Sinopec, et al.
SPE 211791 A Novel Real-Time Well-Collision Avoidance Monitoring by Definitive Dynamic Surveys and Passive Magnetic Ranging by Mahmoud ElGizawy, SLB, et al.
SPE 210306 Drilling Heat Maps for Active Temperature Management in Geothermal Wells by Mohamed Shafik Khaled, The University of Texas at Austin, et al.
Mitigating the missing fragmentation problem in de novo peptide sequencing with a two stage graph-based deep learning model
Authors: Mao Zeping , Zhang Ruixue , Xin Lei , Li Ming 
Published: March 2023

Abstract
Novel protein discovery and immunopeptidomics depend on highly sensitive de novo peptide sequencing with tandem mass spectrometry. Despite significant improvement using deep learning models, the missing fragmentation problem remains an important hurdle that significantly degrades the performance of de novo peptide sequencing. In this paper, we reveal that in the process of peptide prediction, missing fragmentation results in generating incorrect amino acids within those regions and causes error accumulation thereafter. To tackle this problem, we propose GraphNovo, a two-stage de novo peptide sequencing algorithm based on a graph neural network. GraphNovo focuses on finding the optimal path in the first stage to guide the sequence prediction in the second stage. Our experiments demonstrate that GraphNovo mitigates the effects of missing fragmentation and outperforms the state-of-the-art de novo peptide sequencing algorithms.
A road map for the management of a pregnancy complicated by maternal bladder exstrophy
Authors: Hosiani Ali , Smet Elisabeth , Nayyar Roshini 
Published: March 2023

Abstract
Bladder exstrophy (BE) is a congenital genito-urinary malformation where there is a defect in the abdominal wall resulting in a protruding open bladder with exposed mucosa [1]. Several reconstructive procedures are required to correct the anomalies resulting in an ileal conduit which is an alternate urinary reservoir reconstructed from the terminal ileum[2]. We describe the care of a pregnant woman with BE and outline the principles of management of her pregnancy with a multidisciplinary team. Timely pre-operative planning is advised to minimise intraoperative complications in the event of a caesarean section. The woman went on to have an uncomplicated classical caesarean section at term by midline laparotomy with a good outcome for both mother and baby.
WITHDRAWN: Distribution of Hemoglobinopathies among Premarital Couples in Al Majmaah, Saudi Arabia
Authors: Alabdallat Nessrin G. , Aldosari Sahar , Alturki Mohammad Khaled , Alabdaly Hadyl 
Published: March 2023

Abstract
Objectives:Hemoglobinopathies, are inherited diseases of Hemoglobin synthesis arising from mutations and/or deletions of one or more of the globin genes resulting in the production of abnormal Hemoglobin molecules and subsequently reduced synthesis of normal alpha and beta globin chains in Hemoglobin molecules. In this study, we attempt to assess the distribution of hemoglobinopathies in Saudi Premarital couples planning to marry and applying for a marriage license in Al Majmaah region and attending the premarital screening center of King Khaled General Hospital (KKGH), Al Majmaah, Saudi Arabia.
Methods: In total, 4009 cases were screened for hemoglobinopathies by using the Bio-rad Variant II cation exchange-high-performance liquid chromatography (CE-HPLC) system.
Results: Total number of abnormal hemoglobin fractions on cation exchange-HPLC (CEHPLC) was seen in 127 cases. Sickle cell trait was the predominant genetic hemoglobin disorder accounting for 66 cases of the total cases. This was followed by the Beta-thalassemia trait in 50 cases, sickle cell disease in 9 cases, HgbE diseasein 1 case, and HgbD trait in 1 case.
Conclusion:The outcome of this study indicated that the Saudi population in this area is at low risk for hemoglobin disorders. sickle cell trait and β-thalassemia trait are the most common Hb disorders in Al Majmaah, Saudi Arabia.
WITHDRAWN: Interacting with landscapes beyond windshield: Affordances actualisation on scenic road rest areas
Authors: Qi Jun , Tang Xueqiong 
Published: March 2023

Abstract
Context:
Scenic roads are world-widely implemented as policies that turn automobility into landscape capital. As an essential component of scenic road systems, rest areas provide spaces for people to interact with roadside landscapes, enhancing the quality of experiences of recreational motorists. However, the understanding of scenic road rest area usage still lacks empirical evidence.
Objectives:
Through the lens of the affordance theory, this study developed an empirical approach to explore the affordance actualisation mechanism focused on the context of motorists-rest area interaction.
Methods:
Our team has conducted site observation and behaviour mapping on seven rest areas along the Nujiang Beautiful Road in northwest Yunnan, China. By conceptualising Surface Materials and Distance References as landscapes’ physical determinants, and Fixed Functional Meanings and Perceived Use Patterns as individuals’ perceptual determinants, this research investigates how these determinants quantitatively affect affordance actualisation.
Results:
The results outlined a behavioural profile about the usage of rest areas on scenic roads and further revealed that: (1) inspired affordances and anticipated affordances respectively acted on people’s experiences and satisfaction; (2) perceptual determinants are more proactive on actualising affordances compared with physical determinants; (3) traffic conflicts, landscape availability and distance to parking contributed to affordance actualisation vacancy.
Conclusion:
The findings may reveal some theoretical insights about the affordance actualisation mechanism via an empirical approach and can be used to assist evidence-based planning and design of scenic road rest areas.
Using 6-CIT, P300 encephalography, and pro-inflammation assessments for screening age related cognitive decline and exploring associated risk factors in Egyptian elderly
Authors: Saleh Mai S. , Galal Asmaa F. , Sallam Sara F. , Mowaad Noha A. , Zeidan Hala M. , Hashish Adel , Heikal Ola A. 
Published: March 2023

Abstract
Background
The elderly population is suffering from many mental health problems that are aggravated as a matter of age and cognitive decline is a serious one of which.
Objectives
The aim of the present work is to screen the cognitive performance among a sample of Egyptian elderly volunteers and to investigate the associated risk factors.
Methods
A sample of 88 elderly volunteers from both genders was enrolled to the study according to the specified eligibility criteria after signing the approval consent.Medical history and socio-demographic data were collected from all participants in addition to basic clinical examination. Cognitive performance was assessed using the 6-item Cognitive Impairment Test (6-CIT) whilethe endogenous event related potentials (ERP) was measured using P300. The inflammatory biomarkers; TNF-αand COX-2 levels were assessed in serum using ELISA technique in addition togene expression of TNF-α, PPAR-γ and CD-36 exploration using qRT-PCR.
Results
About half (51%) of the sample under investigation showed cognitive problems with scores on the 6-CIT exceeding the normal level. TNF-α serum levels showed positive correlation with P300 latency and correlated negatively with P300 reaction time. Furthermore, serum COX-2 levels correlatedpositively with P300 reaction time and negatively with P300 amplitude.
Conclusion
The study population is showing early signs of cognitive decline that invites attention to the importance of spreading preventive measures against further deterioration. Inflammatory biomarkers under investigation and 6-CIT aresuggested to be used in prediction of early stages of cognitive decline among the elderly population.
Quality evaluation of water disclosure of Chinese papermaking enterprises based on accelerated genetic algorithm
Authors: He Chaoran , Sun Fuhua , Wang Bing , Shen Juqin , Xu Jiawei 
Published: March 2023

Abstract

As the carrier of enterprise water resources management disclosure, water information disclosure is a means of expression of enterprises' environmental responsibility. In order to explore the quality of water information disclosure in the report of Chinese paper, the content analysis method was used to collect data, based on the data of China's A-share listed enterprises, under the principle of accounting information disclosure quality, the quality index system of enterprise water information disclosure was constructed, and the disclosure quality level was empirically analyzed with the help of the projection tracing method of accelerated genetic calculation. Our research found that, under the influence of the government's ecological and environmental policies, the water information disclosure of China's paper and paper products enterprises fluctuated from 2017 to 2021; From the perspective of 2020, the overall quality level is low, the disclosure is not voluntary, there are differences in water information disclosure between state-owned enterprises and non-state-owned enterprises, and the evaluation values of Zhejiang Province and Shandong Province are higher than those in other regions in terms of spatial region. China's paper and paper products enterprises have problems such as low quality of water information disclosure and weak disclosure content.
Identification of pyroptosis-related molecular clusters in alzheimer’s disease based on multiple machine learning models
Authors: Fan Yu , Niu Xiaochen , Wang Guoxia , Song Jingjing , Zhang Yongkang 
Published: March 2023

Abstract
Background: Alzheimer's disease (AD) is the most common neurodegenerative disease. Pyroptosis is a new type of programmed cell death, which can lead to the progression of various diseases. The aim of this study was to explore the role of pyroptosis-related genes (PRGs) in Alzheimer's disease and to build the predictive model.
Methods: The expression of PRGs in AD was analyzed based on the GSE33000 dataset, and molecular clustering and immune microenvironment analysis were performed on 310 patient samples. The WGCNA algorithm was used to identify the genes that were specifically expressed between different clusters, and then four machine learning models (RF, GLM, SVM and XGB) were used to construct the predictive models for the risk of AD. The prediction capability of the model was verified by nomogram, calibration, decision curve analyses and five external data sets.
Results: Multiple PRGs were differentially expressed between AD and normal brain tissue. Based on differentially expressed PRGs, 310 AD patients were divided into two subtypes by consistent clustering. Immune microenvironment analysis showed significant differences in the degree of immune activation among different subtypes. WGCNA algorithm identified the specific genes between AD and normal individuals, Cluster 1 and Cluster 2. The SVM model has the best prediction performance with low residual error and root mean square error, and high area under ROC curve (AUC=0.933). Finally, a prediction model based on five genes (GPR4, STAT3, CASP4, CLIC1 and TNFRSF10B) was constructed and showed satisfactory performance on five externally validated data sets. Nomogram, calibration curve and decision curve analysis proved the prediction performance of the model.
Conclusions: This study systematically analyzed the complex relationship between PRGs and AD, and constructed a good prediction model to distinguish AD from normal individuals, which is expected to provide reference for related research.
Modeling Past, Present and Future niches: Species-specific responses to climate changes in three shrub congeners from South American drylands
Authors: Souto Cintia Paola , Zalazar Laura Patricia , Tadey Mariana , Premoli Andrea Cecilia 
Published: March 2023

Abstract
Context
Climate and land use change threat biodiversity and impact on natural and anthropogenic systems as well, in all continents. Although these effects are deepened in regions beholding highly adapted species to particular environmental conditions, like drylands in the Global South, surprises the scarcity of studies exploring the impact of climatic forces across time in these regions.
Objectives
Our aim is to assess the spatial distribution and niche overlap of three dominant native shrubs of the Monte Desert under present climate conditions, to retrodict their potential past distribution, and anticipate their predicted range under future climate scenarios, to complement traditional approaches of biodiversity conservation and sustainability. These species are Larrea cuneifolia (LC), L. divaricata (LD), and L. nitida (LN) that span between 15 and 45°S latitude. They are key elements of the largest temperate dryland of South America, and are alternative forage for livestock.
Methods
We used ecological niche modeling and niche overlap approaches, which we then projected to past (Last Glacial Maximum LGM and Mid Holocene) and future (2050 and 2070) under two scenarios of greenhouse gas emissions and consequent climate change: Representative Concentration Pathway (RCP) 4.5 and 8.5, representing medium-to-low and high emissions levels, respectively. We evaluated these scenarios according to different global circulation models (GCMs) (CCSM4 and MIROC-ESM), to allow detailed assessment of uncertainty in model predictions.
Results
All species showed high niche overlap in the present (67–89%), and when projecting the models, we observed that LC and LD would have reached maximum suitability in the Mid Holocene and would remain stable by 2050. However, LC would gain and LD would loss suitability by 2070. Meanwhile, LN would have reached the maximum suitability in the LGM, which decreased in the Holocene, increased in the present and projects a severe reduction in the future.
Conclusion
We found species-specific responses even among species with current overlapping niches such as LC and LD, highlighting the need to develop mitigation measures particularly for LD and LN in the face of climate change and land use pressures. Global South deserts are being highly degraded and information on future potential ranges of endemic species can support the development of sustainable conservation and management plans.
Intracerebral hematomas are capable of altering air-pouch intracranial pressure monitoring
Authors: Won Sae-Yeon , Herrmann Sascha , Dubinski Daniel , Behmanesh Bedjan , Trnovec Svorad , Bernstock Joshua D. , Freiman Thomas , Gessler Florian 
Published: March 2023

Abstract
Background
Air-pouch balloon-assisted probes have proven to be both simple and reliable tools for intracranial pressure (ICP) monitoring. However, we experienced reproducible falsely high ICP measurement when the ICP probe was inserted in the intracerebral hematoma cavity. Thus, the aim of the experimental and translational study was to analyze the influence of ICP probe placement with regard to measured ICP values.
Methods
Two Spiegelberg 3PN-sensors were simultaneously inserted into a closed drain system and were connected to two separate ICP monitors thereby allowing for simultaneous ICP measurements. This closed system was also engineered to allow for pressure to be gradually increased in a controlled fashion. Once the pressure was verified using two identical ICP probes, one of the probes was coated with blood in an effort to replicate placement within an intraparenchymal hematoma. Pressures recorded using the coated probe and control probe were then recorded and compared across a range of 0–60 mmHg. In an effort to further the translational relevance of our results two ICP probes were inserted in a patient that presented with a large basal ganglia hemorrhage that met criteria for ICP monitoring. One probe was inserted into the hematoma and the other into brain parenchyma; ICP values were recorded from both probes and the results compared.
Results
The experimental set-up demonstrated a reliable correlation between both control ICP probes. Interestingly, the ICP probe covered with clot displayed a significantly higher average ICP value when compared to the control probe between 0mmHg and 50mmHg (p < 0.001); at 60mmHg there was no significant difference noted. Critically, this trend in discordance was even more pronounced in the clinical setting with the ICP probe placed within the hematoma cavity having reported significantly higher ICP values as compared to the probe within brain parenchyma.
Conclusion
Our experimental study and clinical pilot highlight a potential pitfall in ICP measurement that may result secondary to probe placement within hematoma. Such aberrant results may lead to inappropriate interventions in an effort to falsely addresses falsely elevated ICPs.
Wind Responses on Twin Box Girder Bridge Deck Using a Fluid- Structure Interaction Approach
Authors: Roy A. K. , Yadav Himanshu , Dasu Sai Charan , Kumar Pardeep , Chanotra Arun 
Published: March 2023

Abstract
Wind responses on a twin box girder bridge can be observed by a wind tunnel experiment or by having a full-scale setup if possible. Another possible approach is to go through a numerical approach, which is the CFD simulation of the atmospheric boundary layer surrounding the twin box girder bridge deck. A virtual wind tunnel CFD modelling simulation was carried out on the bridge deck using the Ansys Fluent FSI technique to find out the displacement of the bridge deck. The steady-state simulations have been computed. The turbulence model was used to calculate the mean force coefficients as K-ω SST. It has been seen that steady simulation is needed to get the static aerodynamic coefficients right when modeling. Ansys ICEM CFD is used for meshing the bridge deck. In this study, the wind flow behaviour around the structure is analysed at different wind incident angles of -10°, -5°, 0°, 5°, and 10°. The pressure variations at different wind directions are mapped in the present work. Responses across and along the wind are also depicted. It has been found that the drag coefficient is higher at low angles of attack, whereas the moment and the lift coefficient are showing fewer values at large angles.