bluuebunny/crossref_metadata_2025_split huggingface dataset:
State of knowledge and distribution of the Andean white ear opossum (Didelphis pernigra, Allen 1900) in Colombia
Authors: Rubiano-Pérez Juan Camilo , Gomez-Castañeda Francisco Stiven , Lemus-Mejía Leonardo , Vela-Vargas I. Mauricio , González-Maya José F. 
Published: April 2024

Abstract
The Andean white ear opossum (Didelphis pernigra, Allen 1900) is one of the three species of the genus Didelphis reported in Colombia. Here we present a systematic review of D. pernigra in Colombia, with a geographical and altitudinal distribution hypothesis from the country. We reported geographic records and scientific available information of D. pernigra in 40 studies, 55.26 % of the available literature corresponded to local and regional inventories; 23.68 % of other documents were studies about mammal assemblages, while 21.05 % were specific studies about the species and the genus Didelphis in Colombia. We classified literature according to the following subcategories: natural history, diet, inventories, threats, reproduction, uses and perceptions. Most of the literature corresponded to detection in inventories (55.26 %), followed by natural history information (21.05 %) and threats (7.89 %). Research about diet, uses, perception and reproduction, had the lowest proportion with 5.26 %. Regarding distribution, geographic records ranged between 1060 and 3740 m across the three Andean ranges of Colombia. In general, little is known about the ecology or natural history of the species, efforts should be focused on filling the information gaps about natural history, and surveys should fill the distribution gaps along the Western and Central ranges of Colombia.
The crystal structure of n-propylammonium bis(2,3-dimethylbutane-2,3-diolato)borate-boric acid (1/1), [C3H10N][C12H24BO4]·B(OH)3
Authors: Böhme Hanna , Herbig Marcus , Böhme Uwe 
Published: April 2024

Abstract
[C3H10N][C12H24BO4]·B(OH)3, orthorhombic, Fdd2 (no. 43), a = 30.3986(6) Å, b = 40.4094(13) Å, c = 7.0603(2) Å, V = 8672.8(4) Å3, Z = 16, R

gt
(F) = 0.0324, wR

ref
(F
2) = 0.0828, T = 153 K.
Utilization of Alkali-Activated Rice Husk Ash for Sustainable Peat Stabilization
Authors: Khanday Suhail Ahmad , Hussain Monowar , Das Amit Kumar , Khanday Waheed Ahmad 
Published: April 2024

Abstract
Peat is formed from organic matter (OM) in wetlands under an anaerobic environment. Peat is considered weak and problematic soil because of high-water retaining capability, high compressibility, and low shear strength. The cement is generally used to stabilize peat, but cement production is energy intensive and contributes 7–8 % of total carbon dioxide to the atmosphere. Nowadays, there is a need to use a potential “greener” alternative that is sustainable in the long term. Therefore, this research assesses the feasibility of rice husk ash (RHA)–based alkali-activated binder (AAB)–stabilized peat with varying fiber content (6–73 %) and OM (21–79 %). The RHA-based AAB was prepared by adding bauxite powder (as alumina source) to RHA in proportion to keep constant silica to alumina ratio (silica/alumina = 3). The samples were prepared using sodium hydroxide (NaOH) of molarities 3, 6, and 9 to activate the binder with percentages 10, 20, and 30 % by weight of dry peat and alkali (A) to binder (B) ratio chosen as 0.5, 0.7, and 0.9. The results illustrate that the factors like pH of pore solution, the molarity of NaOH, binder content, A/B ratio, OM, and curing affect the unconfined compressive strength (UCS) of treated peat. The maximum UCS of 962, 873, and 668 kPa was found at an optimum combination of molarity (6M), binder content (20 %), and A/B ratio (0.7) for sapric, fibric, and hemic peat. It was seen that OM has a negative impact, whereas the curing period positively impacts the UCS of treated peat. Furthermore, the cumulative mass loss of fibric peat (13.6 %) is more than hemic (11.4 %) and sapric (10.6 %) peat. The X-ray diffraction patterns and field emission scanning electron microscopy micrographs confirm the cementitious minerals that fill pore spaces or cavities to form a smooth and dense gel responsible for strength gain.
A maternal ketogenic diet alters oviduct fluid nutrients and embryo histone acetylation in mice
Authors: Whatley Emma G , Harvey Alexandra J , Gardner David K 
Published: April 2024

In brief
A ketogenic diet (KD) elevates blood β-hydroxybutyrate to concentrations that are known to perturb the development, metabolism, histone acetylation and viability of preimplantation mouse embryos in culture. This study shows that a maternal KD changes available nutrient levels in the oviduct, leading to altered embryo development and epigenetic state in vivo.

Abstract
A ketogenic diet elevates blood β-hydroxybutyrate to concentrations that perturb the development, metabolism, histone acetylation (H3K27ac) and viability of preimplantation mouse embryos in vitro. However, whether a ketogenic diet alters β-hydroxybutyrate concentrations within female reproductive fluid is unknown. This study aimed to quantify glucose and β-hydroxybutyrate within mouse blood and oviduct fluid following standard diet and ketogenic diet consumption and to assess whether a maternal periconceptional ketogenic diet impacts in vivo embryo development and blastocyst H3K27ac. Female C57BL/6 × CBA mice were fed a standard or ketogenic diet (n = 24 each) for 24–27 days. Glucose and β-hydroxybutyrate were quantified in blood via an electronic monitoring system and in oviduct fluid via ultramicrofluorescence. The developmental grade of flushed blastocysts was recorded, and blastocyst cell number and H3K27ac were assessed via immunofluorescence. A maternal ketogenic diet elevated β-hydroxybutyrate in day 24 blood (P < 0.001) and oviduct fluid (P < 0.05) compared with a standard diet, whereas glucose was unchanged. A periconceptional ketogenic diet did not impact blastocyst cell number; however, it significantly delayed blastocyst development (P < 0.05) and reduced trophectoderm-specific H3K27ac (P < 0.05) compared with standard diet-derived embryos. Maternal ketogenic diet consumption is, therefore, associated with reproductive tract nutrient changes and altered embryonic development and epigenetics in vivo. Future studies to assess whether periconceptional/gestational ketogenic diet consumption impacts human preimplantation, fetal, and long-term offspring development and health are warranted.
Drama in STEAM education: Possible approaches and connections to drama-based activities in STEAM education
Authors: Kasbary Nicole , Novák Géza Máté 
Published: April 2024

AbstractDrama in Education (DiE) has been a well-known teaching technique for an active learning approach for students. It utilizes different forms of conventions to enhance a student's learning experience in the classroom, offering alternatives instead of the traditional teaching approaches. Drama can encourage students to learn and think critically and improve public speaking, communication, and confidence. The article portrays the use of drama activities in STEAM education by depicting the benefits and challenges. This study uses a qualitative approach to collect data, including relevant literature, descriptions of drama activities, and observation. The findings display that drama in STEAM education can improve and stimulate students' learning and knowledge in a particular subject. This study aimed to view 19 higher education students' perspectives of drama activities in STEAM. Two activities were completed during this pilot study and observations were made throughout the process. Furthermore, drama in STEAM stimulated the students, were more enthusiastic about exploring, examining and learning, socializing with their groupmates, and the confidence to perform.
Variation in the 1sg.indef: More than you wanted to know
Authors: Rácz Péter , Lukács Ágnes 
Published: April 2024

AbstractThe first person singular indefinite or non-definite of Hungarian verbs that end in -ik shows variation between the regular -k suffix and the -m suffix, used otherwise in the definite. This variation is systematic and subject to metalinguistic awareness. Our study relies on previous quantitative work, a frequency dictionary compiled from the new Hungarian Webcorpus, as well as a forced-choice elicitation experiment to assess the role of word frequency, word length, derivational endings, and across-form similarity in shaping this variation. We find that first person singular indefinite variation is largely defined by natural categories: verbs that look similar will also show a similar preference to -k/-m. This pattern is attested in the webcorpus as well as in participant responses in the elicitation task.
The Gut Microbial Metabolite Trimethylamine N-oxide, Incident CKD, and Kidney Function Decline
Authors: Wang Meng , Tang W.H. Wilson , Li Xinmin S. , de Oliveira Otto Marcia C. , Lee Yujin , Lemaitre Rozenn N. , Fretts Amanda , Nemet Ina , Sotoodehnia Nona , Sitlani Colleen M. , Budoff Matthew , DiDonato Joseph A. , Wang Zeneng , Bansal Nisha , Shlipak Michael G. , Psaty Bruce M. , Siscovick David S. , Sarnak Mark J. , Mozaffarian Dariush , Hazen Stanley L. 
Published: April 2024

Key Points

In community-based US adults, higher plasma trimethylamine N-oxide levels associated with higher risk of incident CKD and greater rate of kidney function decline.Findings from our study support future clinical trials to examine whether lowering plasma trimethylamine N-oxide levels may prevent CKD development and progression.

Background
Trimethylamine N-oxide (TMAO) is a gut microbiota–derived metabolite of dietary phosphatidylcholine and carnitine. Experimentally, TMAO causes kidney injury and tubulointerstitial fibrosis. Little is known about prospective associations between TMAO and kidney outcomes, especially incident CKD. We hypothesized that higher plasma TMAO levels would be associated with higher risk of incident CKD and greater rate of kidney function decline.

Methods
We included 10,564 participants from two community-based, prospective cohorts with eGFR ≥60 ml/min per 1.73 m2 to assess incident CKD. TMAO was measured using targeted mass spectrometry at baseline and one follow-up visit. Creatinine and cystatin C were measured up to four times during follow-up and used to compute eGFR. Incident CKD was defined as an eGFR decline ≥30% from baseline and a resulting eGFR <60 ml/min per 1.73 m2. Time-varying Cox models assessed the association of serial TMAO measures with incident CKD, adjusting for sociodemographic, lifestyle, diet, and cardiovascular disease risk factors. Linear mixed models assessed the association with annualized eGFR change in 10,009 participants with at least one follow-up eGFR measure without exclusions for baseline eGFR levels.

Results
During a median follow-up of 9.4 years (interquartile range, 9.1–11.6 years), 979 incident CKD events occurred. Higher TMAO levels were associated with higher risk of incident CKD (second to fifth versus first quintile hazard ratio [95% confidence interval]=1.65 [1.22 to 2.23], 1.68 [1.26 to 2.25], 2.28 [1.72 to 3.02], and 2.24 [1.68 to 2.98], respectively) and greater annualized eGFR decline (second to fifth versus first quintile annualized eGFR change=−0.21 [−0.32 to −0.09], −0.17 [−0.29 to −0.05], −0.35 [−0.47 to −0.22], and −0.43 [−0.56 to −0.30] ml/min per 1.73 m2, respectively) with monotonic dose–response relationships. These associations were consistent across different racial/ethnic groups examined. The association with eGFR decline was similar to or larger than that seen for established CKD risk factors, including diabetes, per 10 mm Hg of higher systolic BP, per 10 years of older age, and Black race.

Conclusions
In community-based US adults, higher serial measures of plasma TMAO were associated with higher risk of incident CKD and greater annualized kidney function decline.
Immune-phenotyping and transcriptomic profiling of blood monocytes from patients with breast cancer under neoadjuvant chemotherapy
Authors: Patysheva M. R. , Stakheyeva M. N. , Grigoryeva E. S. , Iamshchikov P. S. , Larionova I. V. , Budnickya А. A. , Tarabanovskaya N. A. , Cherdyntseva N. V. , Kzhyshkowska J. G. 
Published: April 2024

Introduction. Chemotherapy is a common treatment for breast cancer. Chemotherapeutic drugs effect blood monocytes, which are major contributors to cancer pathogenesis. However, to date, pro-tumor or anti-tumor programming by chemotherapy of monocytes is controversial.Aim. To characterize changes in phenotypic and transcriptomic profiles of monocytes of breast cancer patients before and after chemotherapeutic treatment.Materials and methods. In a cohort of 50 breast cancer patients, monocyte populations were identified based on their expression of CD14, CD16, CD163, and HLA-DR evaluated by flow cytometry before and after neoadjuvant chemotherapy. Bulk RNA sequencing was adopted to explore the transcriptomic profile of CD14+ monocytes before and after treatment. After treatment, we observed an increase in the activity of signaling pathways related to lipid metabolism and intracellular transport of vesicles from the endoplasmic reticulum, against the background of a decreased response to exposure to interferon γ and interferon α, and foreign molecules (exogenous nucleic acids, viruses and bacteria).Results. In breast cancer patients, neoadjuvant chemotherapy decreased in CD14+16+HLA-DR+ monocytes. Under cytostatic treatment, increased gene expression of MGLL, NR4A2, UCK1, YOD1, ABCA2, PAPSS2, ATP10 (log2FoldChange ≥0.8; false discovery rate (FDR) ≤0.01) and decreased gene expression of KPNA2, ERCC4, JAGN1, RUBCNL, SMYD4, B3GALT4 (log2FoldChange ≥0.8; FDR ≤0.01) were observed in monocytes of patients. Using discriminant analysis, the relative numbers of CD14+16–, CD14+16+, CD14-16+, CD14+16-HLA-DR+, CD14+16+HLA-DR+ and CD14–16+HLA-DR+ monocytes in the blood were found to be valuable in predicting response to neoadjuvant chemotherapy.Conclusion. Thus, association of blood monocytes with chemotherapeutic treatment in breast cancer was revealed.
Long-Term Wind Energy Production from Shallow Water Offshore Platforms Destined for Removal
Authors: Song Ziyang , Ershaghi Iraj 
Published: April 2024

Abstract
This paper extends the previous studies (SNAME-ISSC-2022. OTC-24586-MS I OMC-2021) and focuses on the feasibility of repurposing shallow water offshore oil platforms for renewable energy generation using wind turbines. It is based on an economic analysis of installing wind turbines on platforms reaching the decommissioning stage. We focused on 23 platforms in POCSR and 180 platforms in the GOMR. The economic analysis included guidelines of the Annual Technology Baseline (ATB) in 2023 published by the National Renewable Energy Laboratory (NREL). We used data for economic calculation from BOEM, BSEE, and NREL databases. The System Advisor Model (SAM) is used for techno-economic modeling. The capacity of wind turbines was considered under conservative, moderate, and advanced scenarios. CAPEX, OPEX, internal rate of return, interest rate, depreciation rate, tax rate, and project lifetime were considered in the economic analysis. LCOE is selected as the key economic to determine project economic viability. This paper demonstrates the importance of developing economic incentives for energy producer operators to decommission shallow water idle platforms by contributing to the development of renewable energy sources.
Successful Perforation of Fiber Glass Casing for the 1st Time in KOC to Convert Idle Observation Well to Producer, A Case Study
Authors: Matar S. , Kurma R. , Al-Fadhli W. , Shastri M. C. , Muthafar M. , Yaser M. 
Published: April 2024

Abstract
As part of the Wellbore Utilization and Asset's idle well reactivation initiative in KOC, Fields Development S&EK evaluated several Saturation Observation wells completed with Fiber Glass casing across the Wara reservoir, currently under waterflood. The existence of brittle fiber glass casing was a major challenge that could jeopardize the well integrity during Work Over or Production life of the well. After reviewing all potential risks during recompletion, a well was successfully perforated and completed with substantial oil production gain.
The subject well completed with fiber glass casing was monitored for saturation changes with time-lapse resistivity surveys between 2017 and 2023. The latest diagnostic resistivity survey recorded in 2023 confirmed good oil potential in Wara sands. A thorough investigation of cement integrity prior to perforations was performed to evaluate the zonal isolation. The perforation was done with 4-1/2″ high Speed perforation gun and production logging with noise diagnostic log was recorded right after the perforations, to confirm the fiber glass casing integrity. As a final verification, a downhole camera log confirmed the good condition of the casing and its integrity.
The resistivity diagnostic time-lapse survey results confirmed no depletion across the target Wara sands in the well with initial hydrocarbon saturation. The offset producers/injectors were reviewed as well to confirm the potential and saturation profile. Cement evaluation prior to re-completion has revealed very good cement bond behind the fiber glass casing, with no indication of any channeling or poor bonding. The 4-1/2″ HMX gun was pre-selected to ensure deep penetration with maximum reservoir contact. The returns from the re-circulation post perforation job during the wellbore cleanup have indicated no traces of any debris from the fiber glass.
A production logging (PLT) along with HPT-SNL noise log recorded confirmed no movement of fluid behind casing and above the producing Wara formation, ensuring the reservoir and casing integrity. The downhole camera log revealed a very clear insight on the perforation entry holes, integrity associated with the perforation and the overall fiber glass condition, which was observed to be fully intact during the whole completion process.
The well became the first ever successful conversion of a fiber glass casing observation well to an oil producer in KOC. The direct conversion meant a substantial cost reduction for KOC by avoiding a liner cost or even sidetracking the well. The downhole camera log has confirmed the completion process as a success and paved the way for monitoring downhole well conditions for many other applications including corrosion and well integrity management for the asset.
Condition-Based Maintenance of Oilfield Cement Pumper: A Data-Driven Approach
Authors: Duarte J. J. , Vaithianathan S. , Mohan D. K. , Nakamura M. , Soin M. , Tilakpure N , Tan D. , Kohar A. 
Published: April 2024

Abstract
Cement-pumping equipment is used to perform pressure-pumping services, which are vital in the oil well construction process. This equipment has a complicated design that involves the integration of several original equipment manufacturer (OEM) components. Not only are they expensive to manufacture, but also because they operate under stressful conditions, they incur high maintenance costs. The efficient and timely condition-based maintenance of these assets are critical to increase equipment life and availability, to mitigate any major repair expenditures and to prevent costly nonproductive time. Until recently, we have been following a traditional scheduled maintenance process and lacked a data-driven process and methods to monitor the equipment and perform condition-based maintenance. To address this, we analyzed the historical acquisition data from this equipment and developed prognostics health management (PHM) models that diagnose the performance degradation of the critical components and alert us to perform condition-based maintenance.
In this paper we describe the method and application of the four PHM models we developed and implemented in 2023. The first three distinct models monitor the performance of three different centrifugal pumps designated for distinct functionalities within our system. The fourth model monitors the performance of the radiator that dissipates heat from the coolant that regulates the temperature of lubrication systems for the engine and transmission. All four models were tested on historic data and successfully deployed to identify deviation from healthy operating zones in the production jobs. The results are promising, given the models have identified 22 defects since deployment.
The Dataiku platform was used for data processing, analysis, and algorithm development for models. The first three models were developed using a polynomial regression method along the root mean square error (RMSE) metric. The fourth model was developed using a curated dataset to delineate the zone of interest and to define the thresholds for detecting deviations. The results of the PHM models were visualized on interactive dashboards, statistically significant outliers are analyzed in real time, and used to alert the operations and maintenance teams in the field.
Spatial Monitoring of Geological Carbon Storage Progress Using Time-Lapse Satellite Images
Authors: Li Y. , Dodds N. , Leezenberg P. , Kovscek A. R. 
Published: April 2024

Abstract
We propose a new Geological Carbon Storage (GCS) monitoring approach to demonstrate the potential use of satellite images for monitoring of a pilot project in Kern County, California. The scope includes identification of appropriate subsurface and surface conditions for success. This is an ideal candidate site due to its surface condition, with little vegetation for less observation noise and stable baseline measurements. We successfully detected historical land movements from 2015 to 2021 based on the satellite images with a resolution of 1 mm/year. Numerical simulation informs that land uplift ranges from 0.011 to 0.105 ft (3.27 to 31.85 mm) due to carbon dioxide injection considering geomechanical uncertainties. The spatial and vertical resolution of the observational data fulfills requirements for monitoring of GCS projects.
We conduct a global sensitivity study to identify the impacting factors for land surface deformation. There are seven parameters selected from three main aspects, including rock mechanics, rock physics, and field operation factors. We use Latin hypercube to sample the parameter space for 200 simulation runs. The baseline simulation model represents the pilot site, and it couples with mechanics to compute rock deformation and land surface movements. The challenges of the complex response dataset motivate to extend the capability of a distance-based generalized sensitivity analysis (DGSA) method, using principal component analysis (PCA) and an autoencoder to extract essential features and reduce data dimensionality. The reconstructed images from both methods preserve the pattern and magnitude of land movement. PCA captures more than 96% of cumulative variance using 6 principal components (PCs), and the autoencoder allows the latent vectors (in dimension of 8) to extract necessary features and information from inputs. In general, the satellite images recover information regarding rock mechanics and field operation parameters. Complex, time-series satellite images allow us to infer a more complete set of parameters; however, the magnitude of land movement recovers limited information, that includes sandstone Young's modulus and injection rate. The two-way interaction of sandstone Young's modulus and injection rate are sensitive under all scenarios. We simulate synthetic satellite images from the baseline numerical model, and it provides additional information to history match a reservoir simulation model and reduce uncertainty while tracking the spatial evolution of stored carbon dioxide.