bluuebunny/crossref_metadata_2025_split huggingface dataset:
TBMM Tutanakları Çevresinde İstiklâl Marşı Olarak Kaleme Alınan Şiirler ve Değerlendirilmeleri
Authors: AKBABA Mehmet Fatih , ÇELİK Yakup 
Published: November 2023

23 Nisan 1920’de TBMM’nin kurulmasıyla birlikte devlet kurmanın gereği olarak bir İstiklâl Marşı’nın yazılması ve bestelenmesi gerekmektedir. Bu iş için de dönemin Maarif Vekâleti görevlendirilir. Cephede henüz savaş devam etmektedir. Büyük Taarruz daha başlamamıştır. Bütün bunlara rağmen İstiklâl Marşı yazımına gösterilen hassasiyet TBMM tutanaklarından anlaşılmaktadır.
TBMM’de İstiklâl Marşı tartışmalarının tümü daha iyi bir metin ortaya çıkmasına yönelik hassasiyet çevresindedir. Hamdullah Suphi Bey, bütün şiirleri okumuş ve ön değerlendirmesini yapmış olmak, peşinden Mehmet Akif Bey’e müracaat etmek suretiyle sürecin yönlendiricisi olmuştur. Muhalif gibi görünen ve itiraz eden milletvekillerinin isteği ehliyetli kişilerden oluşan edebî bir heyetin kurulması ve onların karar vermesi yönündedir. Buna karşılık şiirlerin marş olmadan önce yine heyet tarafından kısmen değiştirilmesini öneren milletvekilleri de vardır.
Yarışmaya, Mehmet Akif’in eseri dışında, 724 şiir katılır. Bu eserlerden ilk elemeyi geçen ve TBMM’ye gelen 7 şiir kayda geçer. Diğer metinlere ulaşılamamıştır.
Qualifying Bismuth Plug Technology in Mozambique
Authors: Talapatra Didhiti 
Published: November 2023

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Over the past 10 years, bismuth plugs have been used more often to solve complex downhole integrity issues and to permanently abandon wells, both on and offshore. As bismuth technology is relatively new to the market, it often needs to be qualified in-country before use on a larger scale. This is a significant barrier to the adoption of new technologies in general within the industry and not unique to the use of bismuth as a permanent sealing barrier.
Bismuth and bismuth-based alloys have unique properties that allow them to be used as a sealing material that has the potential to change the industry. It has a specific gravity of 10 which means it is 10 times denser than water. In molten form it can displace any fluid in the wellbore. Not only is it dense but in its molten form it also has a viscosity like water, which means it can flow easily and through perforations, cracks, crevices, or any micro annuli without the need of any pumping equipment.
The most interesting property however is its ability to expand on solidification. BiSN uses proprietary thermite heaters to melt bismuth-based alloys downhole, which then flow into the annulus through perforations or section milled windows taking the shape of volume they are filling up. The alloy on solidification then expands (like ice) which creates the gas-tight seal against the surface it is expanding. These alloys not only create a solid mechanical barrier but are also highly corrosion resistant to H2S, CO2, acids, and other wellbore fluid that might be present, thereby creating a barrier that can last forever or be classified as “eternal.”
Compared to existing traditional sealing technologies, a bismuth plug requires a significantly shorter seal, resulting in less materials, section milling, and time needed for deployment. For example, a traditional cement plug might need to be hundreds of feet in length where a bismuth plug can be set at as little as 6 ft.

Field Test—Context, Challenges, and Methodology
In May 2023, BiSN was contracted to fulfill a rigless plug and abandonment (P&A) campaign for Sasol in Mozambique. Before proceeding, BiSN and Sasol worked together on a well in Mozambique to qualify BiSN bismuth technology as a permanent abandonment solution in the country.
The well chosen for the seal test had several complicating factors including the need to set the seal in open hole through perforations and the thin caprocks located in the region.
The overall goal of the field test was to isolate gas-bearing silt from shallower formations by forming an effective seal. To accomplish this, the bismuth plug was required to be set with a 10-m shale window identified by Sasol as a suitable location to set a regional seal to essentially restore the caprock. Previous explorations had revealed areas of patchy cement from earlier P&A attempts.
Study Reviews Largest ASP Project From Laboratory to Pilots and Field Application
Authors: Carpenter Chris 
Published: November 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 215058, “A Systematic Review of the Largest ASP Flood Project in the World: From Laboratory to Pilots and Field Application,” by Yunan Wei, SPE, Xiaoguang Lu, SPE, and Jianhong Xu, SPE, C&C Reservoirs, et al. The paper has not been peer reviewed.

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The complete paper presents a systematic review of the largest alkaline-surfactant-polymer (ASP) flood project in the world, applied in the largest oil field in China. First, reservoir and fluid characteristics are highlighted to understand heterogeneity of the reservoir. Next, project history is summarized, including laboratory studies, pilot tests, industrial-scale tests, and fieldwide application. Finally, typical ASP flood performance and reservoir management measures from over 30 years of experience are presented. Performances of ASP flood and polymer floods in the same field also are compared.​​​​

Introduction
In the La-Sa-Xing Field, ASP flooding was studied in the laboratory from 1987 to 1993 and followed by five small-scale pilots from 1994 to 1999, all successfully achieving incremental recoveries of approximately 20% stock-tank oil initially in place (STOIIP). As a result, industrial-scale pilots were conducted from 2000 to 2007, resulting in increased production by ASP flooding from 3,887 to greater than 19,000 BOPD in 2007. Fieldwide ASP expansion was launched in December 2007. By 2021, the ASP-flooded blocks registered a STOIIP of 1.9823 billion bbl. Daily production was approximately 96,000 BOPD through approximately 9,650 wells. Average incremental recovery factor was 20% STOIIP with waterflooding and 8% with polymer flooding, providing an ultimate recovery factor of 60%. Cumulative oil production by ASP flooding had reached 316 million bbl by 2021, making it the largest ASP flooding project in the world.

Geological Background and Reservoir Characteristics
The La-Sa-Xing Field is in the north of the Songliao Basin of northeast China, comprising the majority of the Daqing field complex. The field was placed onstream in 1960. The hydrocarbon-bearing reservoir has a gross thickness of 1,377 ft and a net thickness of 394 ft. Net pay averages 150 ft.
Initial reservoir pressure ranges from 1,523 to 2,585 psi. Reservoir temperature varies from 113 to 122°F. Crude oil has an API gravity of 33°, a viscosity of 8.5–10.3 cp at reservoir conditions, an initial gas/oil ratio of 258 scf/STB, and a bubblepoint pressure of 1,291 psi. Formation water salinity is 7000 mg/L. Reservoir rock initially shows water or weak oil wettability.
Depending on permeability, three types of reservoir sand (Type I, Type II, and Type III) have been identified. Currently, ASP flooding is mainly applied to Type I sand, with partial application to Type II Sand.
3D Integrated Model-Driven Work Flow Developed for Shale Hydraulic Fracturing
Authors: Carpenter Chris 
Published: November 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 212406, “3D Integrated G&G Model-Driven Mitigation Work Flow on Screenout, Frac Hits, and Casing Deformation in Ultradeep Shale Hydraulic Fracturing,” by Jianfa Wu and Bo Zeng, PetroChina, and Lipeng Wang, SLB, et al. The paper has not been peer reviewed.

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The Longmaxi shale gas play in China is unique because of multiple tectonic deformations in its geological history. While its hydraulic fracturing design has matured after a decade-long evolution, the success of every well cannot be ensured without considering heterogeneity. To address these challenges, a multidisciplinary team was formed to work on a pad; through the team’s efforts, designed proppant volume achieved zero casing deformations, fewer screenouts, and weaker fracture hits. The key to effective mitigation was continuous 3D geological and geomechanical (G&G) modeling through ongoing iterations with field data.

Background
The Longmaxi shale play in the Sichuan Basin is approximately 20 000 km2 and is buried between 2000 and 4500 m. This play has more than 10 trillion m3 of gas reserves and is made up of shallow and deep reservoirs.
Currently, the operator has moved to the deeper Luzhou and Chongqing blocks buried at a depth greater than 3500 m. Nearly 200 horizontal wells per year are planned in the next 5 years. A fracture hit with tens of MPa increase was observed. Four casing failures were observed on 32 of the wells in this block, which made the unstimulated length more than 200 m and cost an extra $300,000 for interventions in each problematic well.
While the risk of screenout, fracture hit, and casing deformation is common, risk levels vary for different reservoirs. No work flow is available that could be developed to identify and reduce these hazards. In this study, ultradeep shale gas at Pad X, buried almost 3900 m in the Luzhou Block, was selected to recognize and mitigate these risks (Fig. 1), where four wells were positioned 300 m apart. The lateral length of X-1 is roughly 1000 m, while the rest of the wells are roughly 1900 m in length.

3D G&G Modeling
By combining seismic interpretation, seismic inversion, petrophysical analysis, and 1D geomechanical modeling while adhering to the Longmaxi-Wufeng Shale modeling technique used in neighboring blocks, the authors established a G&G model with dimensions of 40×40×0.5 m for the Luzhou Block. The pad model was refined to 8×8×0.5 m by using well logs to better characterize the variations in stage level.
Natural Fractures. 3D surface seismic data was the only reliable source available to predict natural fractures in the shale and design the fracturing job, though the uncertainty was unavoidable. To display fault-/fracture-system characteristics, seismic attributes, including variance, ant tracking, and curvature were examined.
Investigation of the Effect of Residual Oil and Wettability on Sulfonated Polymer Retention in Carbonate under High-Salinity Conditions
Authors: Alfazazi Umar , Thomas Nithin Chacko , Al-Shalabi Emad Walid , AlAmeri Waleed 
Published: November 2023

Summary
Polymer flooding in carbonate reservoirs is greatly affected by polymer retention, which is mainly due to adsorption by polymer-rock surface interactions. Consequently, this leads to a delay in polymer front propagation and related oil recovery response. This work investigates the effects of residual oil (Sor) and wettability on sulfonated-based (ATBS) polymer retention under the conditions of high salinity and moderate temperature. Polymer single- and two-phase dynamic adsorption tests as well as bulk and in-situ rheological experiments were conducted on outcrop carbonate cores in the presence of a high-salinity brine of 243,000 ppm at a temperature of 50°C. A total of four corefloods were conducted on Indiana limestone core samples with similar petrophysical properties.
Overall, polymer adsorption was found to be low and within the acceptable range for application in carbonate reservoirs in the absence and presence of Sor. Furthermore, the polymer adsorption and in-situ rheology tests highlighted the significance of oil presence in the core samples, where retention was found to be around 40–50 µg/g-rock and 25–30 µg/g-rock in the absence and at Sor, respectively. An additional 50% reduction in retention was observed on the aged core sample that is more oil-wet. Polymer retention/adsorption was measured by double slug and mass balance techniques, and the results from both methods were in agreement with less than 7% difference. Inaccessible pore volume (IPV) was also calculated based on the double slug method and was found to be in the range of 23% to 28%, which was qualitatively supported by in-situ saturation monitoring obtained from an X-ray computed tomography (CT) scanner. The ATBS-based polymer showed excellent results for applications in carbonate without considerable polymer loss or plugging. This paper provides valuable insights into the impacts of residual oil and wettability on polymer adsorption, supported by CT in-situ saturation monitoring, which is necessary to avoid unrepresentative and inflated polymer retentions in oil reservoirs.
Quantifying greenhouse gas emissions from three fruit and vegetable waste management technologies using the static chamber
Authors: Komakech Allan John , Rubagumya Isaac , Kizito Simon Savio , Zziwa Ahamada , Kabenge Isa , Menya Emmanuel 
Published: November 2023

Abstract
Primary activity data for the type and emission rate of greenhouse gases (GHGs) from waste treatment technologies is inadequate in many developing countries. However, these data are key inputs to designing and outlining the best approaches for GHG emissions reduction from different source sectors of the economy. In this study, greenhouse gas emissions from three fruit and vegetable waste (FVW) management technologies namely, aerobic composting (AC), anaerobic digestion (AD), and Black soldier fly larvae (BSFL) composting, were investigated. The static chamber method was used to assess the carbon dioxide, methane, and nitrous oxide emissions from these technologies. The total CO2 emissions for the different FVW treatment methods investigated were 108.0, 87.5, and 61.21 g CO2 kg− 1 of FV waste initial FV for BSFL, AC, and AD respectively. When CO2 emissions were excluded from the accounting because they are considered carbon neutral or assumed to be part of the small carbon cycle, the three waste treatment technologies' emissions ranged from 1.82 to 47.48 kg CO2 -eq ton− 1 of FVW treated, largely attributable to CH4 emissions. On account of Methane and Nitrous oxide GHG mitigation, the results indicate that anaerobic digestion provides a reduction 26 times greater than BSFL and three times more than aerobic composting. To make the national GHG emission estimates for the waste sector more robust, such local area-based studies focusing on primary activity data are beneficial to reduce uncertainties in national emission approximations.
Stakeholders’ Identification and Understanding of the Multisectoral Governance for Child and Maternal Nutrition During the MDGs Period – A Stakeholders’ Network Analysis of Khyber Pakhtunkhwa Province of Pakistan
Authors: Jan Attaullah , Shah Syed Saleem , Almajwal Ali Madi , Alam Iftikhar 
Published: November 2023

Abstract
Background
Interest in multisectoral policies has increased, particularly in the context of low-income and middle-income countries and efforts towards Sustainable Development Goals, with greater attention to understand effective strategies for implementation and governance. The study had two objectives: 1) to identify the main stakeholders who were responsible for child and nutrition mother nutrition in the MDGs period in Khyber Pakhtunkhwa province of Pakistan, 2) to explore and map the composition and structure of the nutrition component of MDGs, identifying key factors engaged in nutrition policy implementation and their patterns of relationships in provincial-level in the KP.
Methods
Stakeholders identification was furnished using the participatory NetMap tool. Social network analysis (SNA) was used to examine the structure of the actors’ network in compliance with child and maternal nutrition MDGs. The survey was administered producing three distinct network maps about interaction, information-seeking and decision-making patterns. The network measures of centrality, density, reciprocity, centralization was used to understand the network across the province.
Results
a total of 16 stakeholders were identified. The results on network analysis showed MoH, P&D, NGOs, and provincial government were the most frequently consulted actors for interaction, information-seeking and decision-making. The three networks as a whole displayed high centralization with a P&D and MoH having a central role with the highest in-degree centrality. The network as whole also exhibited greater density and reciprocity.
Conclusion
As a whole, 16 stakeholders were identified by NetMap and SNA analysis with MoH, P&D, NGOs, and provincial government as the most frequently consulted actors for interaction, information-seeking and decision-making.
Association between ABO blood group and preeclampsia in pregnant women
Authors: jiang lingling , shen zhiyong , yang Tingting , Lin Zhi , Pan Mian , Yan jianying 
Published: November 2023

Abstract
Objective: To explore the correlation between maternal ABO blood group and preeclampsia. The results maybe used as the basis for the clinical prevention and treatment of preeclampsia.
Methods: A case-control study was conducted, and 248 pregnant women with preeclampsia (PE group) and 248 normal pregnant women (control group) were included from October 1, 2016 to October 1, 2017. Compare the general condition of pregnant women in both groups. Compare the differences in the occurrence of preeclampsia in pregnant women with different blood groups. Compare the differences in triglycerides and cholesterol with different blood groups in the preeclampsia group.
Results: There were statistically significant differences in age, pre-pregnancy BMI, gestational week, cholesterol and triglycerides between the PE group and the control group. However, there was no significant difference in the height of the two groups. Non-O blood groups were significantly more common than the O blood group in the PE group (59.1% V 28.9%). In contrast, in the control group, O blood group was significantly more common than the non-O blood groups (71.1% V 40.9%). In the PE group, non-O blood pregnant women had significantly higher triglyceride and cholesterol level than O blood pregnant women.
Conclusion: Pregnant women with non-O blood groups have an increased risk of preeclampsia. Elevated blood lipids may contribute to the increased risk of preeclampsia in non-O blood group pregnant women.
Gamification as a methodology to enhance analytical and sustainable engagement on Social Media
Authors: Ruiz Paula Gil 
Published: November 2023

Abstract
This study aims to determine whether positioning students as developers of educational software enhances their digital literacy, presenting an avenue to cultivate critical online content consumption and, in turn, combat misinformation. A total of 107 students, prospective educators in early childhood, primary, and social education contexts, participated in the research. Our initial hypothesis posited that introducing a technology training program would significantly bolster the ability to discern hoaxes and falsehoods online. However, a chi-square test significance result of 0.607 suggests acceptance of the null hypothesis. The findings underscore a notable deficiency in students' ability to solve practical problems, evident from the lack of responses to items categorized under intuition and practical reasoning. Nonetheless, according to the standards set by DigiComp, students can achieve a commendable proficiency in digital competency, particularly in evaluating digital data and information, as well as in creating digital content.
Risk Pregnancy Early Detection Program in the Working Area of the Health Department of Paser District: a Multiperspective Exploration
Authors: Tinaningsih Morita Dwi , Sulistyowati Sri , Wijaya Mahendra , Sugihardjo Sugihardjo , Fithri An Nisa 
Published: November 2023

Abstract
Early access to standardized services is crucial for preventing the majority of maternal deaths. Early detection of at-risk pregnancies involves identifying pregnant women who have obstetric risk factors and complications in order to prevent adverse outcomes. Identifying risk factors in mothers, through the collaboration of healthcare professionals and the community, plays a crucial role in preventing maternal morbidity and mortality. This research is a phenomenological study that includes professionals in health service promotion, obstetrician-gynecologists, as well as cadres and pregnant women who receive these services. The participants were chosen using purposive sampling based on predetermined criteria for inclusion. Data was collected through in-depth interviews lasting between 30 to 60 minutes. The transcribed interviews were analyzed using thematic analysis techniques. The analysis revealed that four program policies aimed at early detection of at-risk pregnancies have not been enforced. Additionally, obstacles were identified in the implementation of the program, specifically related to funding and inadequate human resources support. There is a lack of sufficient knowledge and training among cadres regarding the early detection of at-risk pregnancies. Additionally, the available information on this topic is limited. The findings indicate the necessity of enhancing special program policies for early identification of high-risk pregnancies, which should be accompanied by sufficient human resources, particularly trained personnel, as well as financial support and infrastructure from the government. The authors aim to enhance early detection of at-risk pregnancies by empowering cadres and utilizing information technology, specifically the "KABARI" model, recognized as a digital health promotion approach.
Deepurify: a multi-modal deep language model to remove contamination from metagenome-assembled genomes
Authors: Zhang Lu , Zou Bohao , Wang Jingjing , Ding Yi , Zhang Zhenmiao , Huang Yufen , Fang Xiaodong , Cheung Ka Chun , See Simon 
Published: November 2023

Abstract

Metagenome-assembled genomes (MAGs) offer valuable insights into the exploration of microbial dark matter using metagenomic sequencing data. However, there is a growing concern that contamination in MAGs may significantly impact the downstream analysis results. Existing MAG decontamination methods heavily rely on marker genes but do not fully leverage genomic sequences.
To address the limitations, we have introduced a novel decontamination approach named Deepurify, which utilizes a multi-modal deep language model employing contrastive learning to learn taxonomic similarities of genomic sequences. Deepurify utilizes inferred taxonomic lineages to guide the allocation of contigs into a MAG-separated tree and employs a tree traversal strategy for maximizing the total number of medium- and high-quality MAGs.
Extensive experiments were conducted on two simulated datasets, CAMI I, and human gut metagenomic sequencing data. These results demonstrate that Deepurify significantly outperforms other decontamination methods.