bluuebunny/crossref_metadata_2025_split huggingface dataset:
A qualitative study on midwives’ ethics of self forgiveness ın traumatic obstetric events: perfect guilt
Authors: Aker Sema , Aydın Kartal Yasemin , Bulut Aleyna 
Published: July 2024

AbstractThis qualitative study was conducted to examine the self-blame and self-forgiveness attitudes of midwives who experienced traumatic obstetric events. The sample for this study consisted of 16 midwives who were actively working in obstetrics clinics. Data was collected using an Introductory Information Form and a Semi-structured Interview Form. The data was analysed using MAXQDA 2022 for content analysis. Colaizzi’s phenomenological interpretation method was used during data analysis. As a result of the analysis of qualitative data, 4 themes and 12 sub-codes were created. The mean age of the midwives participating in the study was 27.56 + 3.38 years and the mean monthly working hours were 176.00 + 19.43. It was determined that midwives questioned themselves in terms of effective communication (43.8%), adequacy in care (37.5%), meeting expectations (25%), empathy (18.8%) and ethics/professional ethics (18.8%) during care practices. It was determined that religious beliefs (43.8%), the permanence of the damage in the patient (18.8%) and the time elapsed after the event (18.8%) affected the midwives’ self-forgiveness after the obstetric traumatic events. In line with our study findings, it was determined that midwives blamed themselves because they felt ethically and morally responsible even in the absence of malpractice.
Momelotinib versus Continued Ruxolitinib or Best Available Therapy in JAK Inhibitor-Experienced Patients with Myelofibrosis and Anemia: Subgroup Analysis of SIMPLIFY-2
Authors: Harrison Claire N. , Vannucchi Alessandro M. , Recher Christian , Passamonti Francesco , Gerds Aaron T. , Hernandez-Boluda Juan Carlos , Yacoub Abdulraheem , Sirhan Shireen , Ellis Catherine , Patel Bharat , Strouse Bryan , Platzbecker Uwe 
Published: July 2024

Abstract
Introduction
Some Janus kinase (JAK) inhibitors such as ruxolitinib and fedratinib do not address and may worsen anemia in patients with myelofibrosis. In these cases, the JAK inhibitor may be continued at a reduced dose in an effort to maintain splenic and symptom control, with supportive therapy and/or red blood cell (RBC) transfusions added to manage anemia. This post hoc descriptive analysis of the phase 3 SIMPLIFY-2 trial evaluated the relative benefits of this approach versus switching to the JAK1/JAK2/activin A receptor type 1 inhibitor momelotinib in patients for whom anemia management is a key consideration.

Methods
SIMPLIFY-2 was a randomized (2:1), open-label, phase 3 trial of momelotinib versus best available therapy (BAT; 88.5% continued ruxolitinib) in JAK inhibitor-experienced patients with myelofibrosis (n = 156). Patient subgroups (n = 105 each) were defined by either baseline (1) hemoglobin (Hb) of < 100 g/L or (2) non-transfusion independence (not meeting the criteria of no transfusions and no Hb of < 80 g/L for the previous 12 weeks); outcomes have been summarized descriptively.

Results
In both subgroups of interest, week 24 transfusion independence rates were higher with momelotinib versus BAT/ruxolitinib: baseline Hb of < 100 g/L, 22 (33.3%) versus 5 (12.8%); baseline non-transfusion independent, 25 (34.7%) versus 1 (3.0%). Mean Hb levels over time were also generally higher in both subgroups with momelotinib, despite median transfusion rates through week 24 with momelotinib being comparable to or lower than with BAT/ruxolitinib. Spleen and symptom response rates with momelotinib in these subgroups were comparable to the intent-to-treat population, while rates with BAT/ruxolitinib were lower.

Conclusion
In patients with moderate-to-severe anemia and/or in need of RBC transfusions, outcomes were improved by switching to momelotinib rather than continuing ruxolitinib and using anemia supportive therapies.

Trial Registration
ClinicalTrials.gov: NCT02101268.
Role of Grain Boundary Strength on Yielding Behavior and Uniaxial Tensile Properties in Ferritic Steels
Authors: Jeong Byeong-Seok , Lee Siwhan , Yeh Jeongwon , Park Eun Soo , Han Heung Nam 
Published: July 2024

AbstractThe yield-point phenomenon in recrystallized ferritic steels is often associated with the dislocation multiplication mechanism, wherein the yield drop can be attributed to the lack of mobile dislocations in materials. However, the yield-point phenomenon is not consistently observed in all recrystallized ferritic steels, implying that the dislocation multiplication mechanism has constraints in delineating the yielding behavior of these materials. Therefore, in this study, we introduced grain boundary strength as a critical parameter for elucidating the yielding behavior of recrystallized ferritic steels. Three types of steels—interstitial-free (IF) steel, precipitation-hardened (PH) steel, and Mn-added interstitial-free (IF-2Mn) steel—were analyzed for grain boundary strength using nanoindentation, and the reliability of this methodology was verified by Hall–Petch analysis. The IF steel, which lacked the yield-point phenomenon, demonstrated a much lower grain boundary strength than the PH and IF-2Mn steels, where the phenomenon occurred. Microstructural analysis confirmed that the enhanced grain boundary strengths of the PH and IF-2Mn steels were due to carbon and manganese segregation at the grain boundaries, respectively. Further, the grain boundary strength significantly influenced the tensile properties and yielding behavior. In PH steels, the enhanced grain boundary strength increased the yield strength owing to Hall–Petch hardening; however, it also increased the resistance to plastic deformation propagation, resulting in reduced ductility. In the IF-2Mn steels, the two specimens with different grain sizes exhibited similar yield strengths, which could be attributed to differences in the grain boundary strength. Our findings have significant implications for the design and optimization of ferritic steels.
Graphical Abstract
Characteristics and controlling factors of Lucaogou formation shale reservoir in the northern edge of Bogda Mountain, the Junggar Basin, China
Authors: Jia Fanjian , Guo Ruichao , Wang Jianwei , Zhao Leqiang , Wu Zhiping 
Published: July 2024

AbstractThe practice of oil and gas exploration has confirmed the existence of recoverable shale oil resources in the Permian Lucaogou Formation on the northern edge of the Bogda Mountains. However, previous research on the development characteristics and main controlling factors of shale oil resources in this area is relatively limited. In order to elucidate the development characteristics and principal controlling factors of the shale deposit in the Lucaogou Formation, the characteristics, physical properties, diagenesis, and influencing factors of the shale ore were investigated utilising data derived from outcrop, drilling, seismic, and geochemical analysis. The findings indicate that the shale of the Lucaogou Formation is prevalent and extensive. The deposit’s lithology is predominantly composed of dark grey and grey-black mud shale, interspersed with thin layers of dark grey and grey-black sandy mud shale and dolomite mud shale. The most prevalent minerals are carbonate minerals, followed by feldspar and quartz, with a notable proportion of brittle minerals. The deposit is primarily composed of dissolution pores, bedding fractures, and structural fractures, with a porosity of 1.23–3.26% and permeability of 0.012–0.076 mD, which are characteristic of ultra-low porosity and ultra-low permeability deposits. Among the three deposit types, the sandstone type exhibits the most favourable physical properties, followed by the dolomite type and the shale type, which displays the least favourable properties. The shale of the Lucaogou Formation is currently in the middle diagenetic phase, which is characterised by compaction, cementation (carbonate cementation, mudstone cementation, pebble cementation), and dissolution. The destructive effect of compaction and cementation on the physical properties is counterbalanced by the constructive effect of dissolution. The diagenetic environment has gradually changed from an alkaline environment to a slightly alkaline, slightly acidic stage.
Cognitive profile of kidney transplant patients and impact of deceased vs. living donor transplantation
Authors: Doerr Johanna Marie , Juenemann Martin , Becker Anna , Nahrgang Christian , Rainer Lucy , Liese Juliane , Hecker Andreas , Wolter Martin , Weimer Rolf , Karakizlis Hristos 
Published: July 2024

Abstract
Background
It is important to learn more about the prevalence, severity and characteristics (i.e., which cognitive abilities are especially affected) of cognitive impairment in kidney transplant patients. Furthermore, the impact of living vs. deceased donor renal transplantation on cognitive outcome in this patient group needs further studies.

Methods
Fifty-nine patients (43 men, age 55 ± 13 years) who received a deceased donor or living donor kidney transplant, completed a comprehensive neuropsychological test assessment. Neuropsychological tests explored the cognitive domains of verbal and visual memory, attention, and executive functions.

Results
Fifteen percent of the patients had mild, 25% moderate, and 15% severe cognitive impairment. The level of domain-specific cognitive deficit differed between verbal memory, attention, and executive functions (χ2(2) = 7.11, p = 0.029). On average, patients showed the highest deficit in executive functions, and the lowest deficit in verbal memory. Patients who received a kidney graft from a deceased donor were more likely to have a cognitive impairment than those who received a kidney graft from a living donor (OR = 3.03, 95% CI [0.99,9.32], Wald χ2(1) = 3.74, p = 0.053). This effect was independent of time on dialysis as well as of creatinine levels, or creatinine clearance.

Conclusions
Our results show that in kidney transplant patients with cognitive impairment, the cognitive domain of executive functions is the most affected one. This might be detrimental for quality of life. The fact that patients who received living donor kidneys seem to do better in terms of cognition than patients with deceased donor kidneys deserves more attention in future research.

Graphical abstract
Facile construction of porous carbon fibers from coal pitch for Li-S batteries
Authors: Guo Junzhuo , Lei Zhiping , Yan Honglei , Zhang Weidong , Li Zhan-Ku , Du Zhiming , Yan Jingchong , Shui Hengfu , Ren Shibiao , Wang Zhicai , Kang Shigang 
Published: July 2024

AbstractCoal pitch, an important by-product in the coal coking industry with a high output, is a low-cost and high-carbon yield precursor for the manufacturing of high-value carbon materials. Herein, N/O co-doped carbon fiber (CFCP), fabricated by electrospinning using pre-oxidized coal pitch as the precursor, was employed as the sulfur host for Li-S batteries. The presence of more pyrrolic N and graphic N in CFCP than carbon fiber made from polyacrylonitrile benefits the adsorption of lithium polysulfide and the battery’s life. Sulphur-CFCP cathode (S@CFCP) exhibited excellent specific capacity and cyclability, with a specific capacity of 701.1 mAh/g and a low capacity decay rate of 0.088% per cycle over 200 cycles at 2.0 C, respectively. The high ion diffusion rate, low charge transfer resistance, and effective conversion of lithium polysulfides enable the high electrochemical performance of S@CFCP.
From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning
Authors: Mora Juan Jose , Selvaraj Michael Gomez , Alvarez Cesar Ivan , Safari Nancy , Blomme Guy 
Published: July 2024

AbstractBananas and plantains are vital for food security and smallholder livelihoods in Africa, but diseases pose a significant threat. Traditional disease surveillance methods, like field visits, lack accuracy, especially for specific diseases like Xanthomonas wilt of banana (BXW). To address this, the present study develops a Deep-Learning system to detect BXW-affected stems in mixed-complex landscapes within the Eastern Democratic Republic of Congo. RGB (Red, Green, Blue) and multispectral (MS) images from unmanned aerial vehicles UAVs were utilized using pansharpening algorithms for improved data fusion. Using transfer learning, two deep-learning model architectures were used and compared in our study to determine which offers better detection capabilities. A single-stage model, Yolo-V8, and the second, a two-stage model, Faster R-CNN, were both employed. The developed system achieves remarkable precision, recall, and F1 scores ranging between 75 and 99% for detecting healthy and BXW-infected stems. Notably, the RGB and PAN UAV images perform exceptionally well, while MS images suffer due to the lower spatial resolution. Nevertheless, specific vegetation indexes showed promising performance detecting healthy banana stems across larger areas. This research underscores the potential of UAV images and Deep Learning models for crop health assessment, specifically for BXW in complex African systems. This cutting-edge deep-learning approach can revolutionize agricultural practices, bolster African food security, and help farmers with early disease management. The study’s novelty lies in its Deep-Learning algorithm development, approach with recent architectures (Yolo-V8, 2023), and assessment using real-world data, further advancing crop-health assessment through UAV imagery and deep-learning techniques.
Mulching practices alter soil moisture, physico-chemical properties and pineapple (Smooth cayenne) yield
Authors: Kelbore Zemede Amado , Gebreyes Ephrem Assefa , Damtew Atnafua Bekele , Bura Daniel Markos , Wote TesfatsionTadele 
Published: July 2024

AbstractThis field experiment was conducted in Chichu Kebele in the Dilla Zuria area from 2020 to 2023. The objective of the experiment was to determine the optimal mulching strategy for enhancing soil fertility and pineapple production by comparing three treatments (grass mulch, plastic mulch, and farmers’ practices without any mulch) using a RCB (Randomized Complete Block) design. The study’s findings showed that the treatments with plastic mulch had the greatest soil moisture content values (18.41%), while the treatments with no mulch had the lowest values (11.39%). Compared to mulched treatments, pineapple planted without mulch had the greatest bulk density values (1.43 g/cm3). Total nitrogen and organic carbon has increase by 34 and 25%, respectively due to plastic mulching. However, total nitrogen and organic carbon has increase by 43 and 37.5%, respectively due to grass mulching. Fruit length was larger by 42.7 and 33.2%, respectively due to plastic and grass mulch compared to the control. However, fruit girth was wider by 54.1 and 43.8%, respectively due to plastic and grass mulches compared to the control. The pineapple with the most fruit yield (71.39 t/ha), fruit length (17.4 cm), fruit girth (46.67 cm), and sucker number (15 pieces) was obtained using plastic mulching. However, pineapple grown without mulch had the lowest yield ever noted. Plastic mulch outperformed farmers’ practices and grass mulching in terms of conserving soil moisture, which increased yield and yield characteristics. For the baseline, the marginal rate of return generated by the plastic and grass mulch treatments was 118.5 and 93.65%, respectively. Thus, the study’s best recommendation for improving soils and achieving a high pineapple fruit yield is to grow pineapples using plastic mulch.
Full Vector Inversion of Magnetic Microscopy Images Using Euler Deconvolution as Prior Information
Authors: Souza‐Junior Gelson F. , Uieda Leonardo , Trindade Ricardo I. F. , Carmo Janine , Fu Roger 
Published: July 2024

AbstractPaleomagnetic data is collected from bulk samples, containing a mixture of stable and unstable magnetic particles. Recently, magnetic microscopy techniques have allowed the examination of individual magnetic grains. However, accurately determining the magnetic moments of these grains is difficult and time‐consuming due to the inherent ambiguity of the data and the large number of grains in each image. Here we introduce a fast and semi‐automated algorithm that estimates the position and magnetization of dipolar sources solely based on the magnetic microscopy data. The algorithm follows a three‐step process: (a) employ image processing techniques to identify and isolate data windows for each magnetic source; (b) use Euler Deconvolution to estimate the position of each source; (c) solve a linear inverse problem to estimate the dipole moment of each source. To validate the algorithm, we conducted synthetic data tests, including varying particle concentrations and non‐dipolarity. The tests show that our method is able to accurately recover the position and dipole moment of particles that are at least 15 μm apart for a source‐sensor separation of 5 μm. For grain concentrations of 6,250 grains/mm3, our method is able to detect over 60% of the particles present in the data. We applied the method to real data of a speleothem sample, where it accurately retrieved the expected directions induced in the sample. The semi‐automated nature of our algorithm, combined with its low processing cost and ability to determine the magnetic moments of numerous particles, represents a significant advancement in facilitating paleomagnetic applications of magnetic microscopy.
Occurrence of Mesospheric Frontal Structures Over the High Latitude Station, Tromsø, Norway
Authors: Chauhan Nilesh , Shiokawa Kazuo , Gurubaran S. , Nozawa Satonori , Oyama Shin‐ichiro , Nakamura Takuji 
Published: July 2024

AbstractObservational data sets for the high latitude middle atmosphere are key to understand the dynamics over those latitudes and the coupling between the lower and middle atmosphere. Utilizing long‐term data sets from an all‐sky imager at Tromsø, Norway (69.6°N, 19.2°E), the characteristics of 18 mesospheric frontal events in the Arctic winter mesosphere from 2011 to 2015 were studied. These frontal events exhibit horizontal extensions exceeding 500 km and were characterized by a sharp leading front, sometimes followed by a quasi‐monochromatic wave train or a turbulent region. A subset of these frontal gravity wave events has been identified in the past as “bores.” While there have been numerous previous reports from low‐ and mid‐latitude sites, and also from southern high latitudes, there have been a few from northern high latitudes. This study focuses on the frontal events in the northern high latitudes and provides new insights into the characteristics of these events. Their horizontal wavelengths primarily ranged from 20 to 40 km, and they exhibited phase speeds in the range 30–80 m/s. Most events were observed before local midnight. No clear link between these events and auroral activity was found. The majority of fronts were found propagating in the north‐west direction, which might be due to the wind filtering effects.
A Laboratory Study of the Effects of Size, Density, and Shape on the Wave‐Induced Transport of Floating Marine Litter
Authors: Calvert R. , Peytavin A. , Pham Y. , Duhamel A. , van der Zanden J. , van Essen S. M. , Sainte‐Rose B. , van den Bremer T. S. 
Published: July 2024

AbstractFloating marine litter is transported by several mechanisms, including surface waves. In studies of marine litter transport, the wave‐induced drift is set to be equal to the Stokes drift, corresponding to the Lagrangian‐mean wave‐induced drift of an infinitesimally small tracer. Large‐scale experiments are used to show how the wave‐induced drift of objects of finite size depends on their size, density, and shape. We observe increases in drift of 95% compared to Stokes drift for discs with diameters of 13% of the wavelength, up to 23% for spheres with diameters of 3% of the wavelength, whereas drift is reduced for objects that become submerged such as nets. We investigate what these findings may imply for the transport of plastic pollution in realistic wave conditions and we predict an increase in wave‐induced drift for (very) large plastic pollution objects. The different extrapolation techniques we explore to make this prediction exhibit a large range of uncertainty.
Impact of Varying Number of Radio Occultation Observations on Regional Weather Prediction Over India During the Summer Monsoon Season
Authors: Singh Randhir , Ojha Satya P. , Anthes Richard 
Published: July 2024

AbstractObserving system simulation experiments are carried out to investigate the added value of radio occultation (RO) refractivity observations with various spatial sampling scenarios on regional weather predictions across the Indian region. A full summer monsoon season (June through September 2020) was used to demonstrate how varying the numbers and horizontal resolutions of RO data impacted regional‐scale weather forecasting. The MPAS (Model for Prediction Across Scales) was used to produce a nature run at a maximum horizontal resolution of 10 km. Then the WRF model with 12‐km horizontal resolution was used to carry out assimilation/forecast experiments with varying number of simulated RO observations. When the performance of the experiments is taken into account for moisture, temperature, winds and rainfall, as well as prediction lengths, the results show that RO observations with 50‐km resolution assimilated every 6 hr would provide the best results. Increasing the horizontal resolution to 25 km per 6 hr shows little overall improvement. Furthermore, RO data with horizontal resolutions lower than 100 km per 6 hr have only a small impact on the regional numerical weather prediction system. The number of low Earth orbit satellites in low‐inclination orbits required to achieve occultations every 6 hr with 50‐km resolution based on the COSMIC‐2 mission is approximately 700. This work is relevant for the deployment of the cost‐effective RO observing system for improved weather forecasting over the Indian region.
Architecture design and advanced manufacturing of heart-on-a-chip: scaffolds, stimulation and sensors
Authors: Xu Feng , Jin Hang , Liu Lingling , Yang Yuanyuan , Cen Jianzheng , Wu Yaobin , Chen Songyue , Sun Daoheng 
Published: July 2024

AbstractHeart-on-a-chip (HoC) has emerged as a highly efficient, cost-effective device for the development of engineered cardiac tissue, facilitating high-throughput testing in drug development and clinical treatment. HoC is primarily used to create a biomimetic microphysiological environment conducive to fostering the maturation of cardiac tissue and to gather information regarding the real-time condition of cardiac tissue. The development of architectural design and advanced manufacturing for these “3S” components, scaffolds, stimulation, and sensors is essential for improving the maturity of cardiac tissue cultivated on-chip, as well as the precision and accuracy of tissue states. In this review, the typical structures and manufacturing technologies of the “3S” components are summarized. The design and manufacturing suggestions for each component are proposed. Furthermore, key challenges and future perspectives of HoC platforms with integrated “3S” components are discussed.