bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coring-While-Drilling With One Bit: New Advances in Wireline-Retrievable Coring
Authors: Hall L. M. , Tyler P. G. 
Published: November 2024

E&P Exchange
Coring-while-drilling (CWD) is a financially and technically viable alternative to conventional drilling and coring operations. The CWD concept uses a special drill bit fitted with a wireline-removable plug. With the plug in place, the bit works in a conventional drilling mode. The plug can be removed by wireline and an inner-core barrel-and-bearing assembly inserted through the drillstring when coring is desired. Up to 30 ft of core then can be cut and subsequently recovered by wireline while the outer barrel and bit remain in place. Another inner-core barrel then can be run in or the drilling plug can be reinserted through the string for drilling ahead. This ability to drill ahead or core alternately without resorting to time-consuming and expensive tripping of the bottomhole assembly can significantly reduce the cost of coring jobs in many situations.
Wireline-retrievable coring was developed for the solid minerals (mining) industry before 1970. Although the concept and technology were promising enough to merit significant use of the tool in mining applications and for deep-drilling scientific projects, relatively little wireline coring was conducted in hydrocarbon reservoirs in the U.S. The process was criticized for poor rates of penetration (ROP's) because of performance limitations of the natural diamond bits in use at the time and the frequent recovery of poor quality cores that were not suitable for many core-analysis test procedures. The oil companies also placed emphasis on obtaining 3½ to 4-in.-diameter core samples. Wireline coring in the oil industry fell out of favor in the 1980's.
Reusability report: Towards inflow generators for turbulence simulations through diffusion models
Authors: Vinuesa Ricardo , Guastoni Luca 
Published: November 2024

Abstract

The use of machine learning for scientific applications (SciML) provides an appealing alternative for solving computationally-intensive tasks in physical simulations. The chaotic and high-dimensional nature of turbulent flows makes the application of these techniques to fluid-dynamics problems challenging. Nonetheless, Li et al. [1] have shown how diffusion models can be successfully trained to generate new Lagrangian trajectories in turbulent flows, correctly reproducing most statistical benchmarks across different scales. In this work, we show how the same neural-network model and training method can be adapted to generate fluctuation velocity fields from a turbulent open-channel simulation. The resulting fields are qualitatively and statistically accurate, hinting at the possibility to use this method to accelerate direct numerical simulations, for instance through inflow generators
Spatial determinants of response to neoadjuvant radiotherapy and immunochemotherapy in locally advanced mismatch repair proficient rectal cancer
Authors: Li Fan , Shen Haode , He zongsheng , Chen Yitian , Su Xiaona , Tong Weidong , Hu Zhihao , Wang Lei , Du Jia , Liu Yun , Xu Kun , Du Jing , Yang Yanan , Yang Xueqin , Ma Qiang , Wang Lu , Wang Shunan , Yang Qian , Xia Qin , Mao Chengyi , Zheng Huichao , Wan Weijun , Qing Ju , Balch Curt , Chen Ziqiang , Xu Hongxia , Zhang Anping , Tian Yue , Wang Bin , Song Yang , Yang Yi , Li Xianfeng , Chen Xiao , Li Mengxia , Zhong Zhaoyang , Song Shumei , Wang Bin , Chen Chuan , Cheung Edwin 
Published: November 2024

Abstract

Although neoadjuvant chemoradiotherapy treatment followed by surgical resection is the recommended treatment for locally advanced rectal cancer (LARC), response rates remain poor. In proficient mismatch repair (pMMR) rectal cancer, combination (vs. monotherapy) immunotherapy has begun to show promise. This study involved 87 LARC patients undergoing short-course radiotherapy (SCRT), followed by CAPOX (capecitabine and oxaliplatin), in combination with the immune checkpoint inhibitor tislelizumab. Following neoadjuvant therapy, 81 patients underwent surgery, achieving an R0 resection rate of 98.7%. Pathological complete response (pCR) was observed in 41 patients (50.6%), with responders (patients with tumor regression grade TRG 0/TRG 1 or complete clinic response) constituting 69% (60/87). Grade 3 adverse events occurred in 11.5% of participants, and there was one case of grade 4 myasthenia gravis. Imaging Mass Cytometry (IMC) analysis demonstrated higher infiltration of M1 macrophages were in responders. Spatial analysis further identified significant aggregation of PD-L1+ myofibroblastic cancer-associated fibroblasts (MyoCAFs), a unique cell population, within a 10 µm radius to tumor cells, in non-responders; and dynamic analysis showed that post-treatment PD-L1+ MyoCAFs continued to increase in the non-responder group, who also had more exhausted CD8+T cells, possibly explaining their worse response. Our study affirms the efficacy and safety of neoadjuvant SCRT combined with immunochemotherapy in LARC, highlighting the importance of assessing the spatial distribution of immune cells in the tumor microenvironment (TME) for predicting treatment responses. ClinicalTrials.gov registration: NCT05515796.
Effect of PM 2.5 exposure on susceptibility to allergic asthma in elderly rats treated with allergens
Authors: Zhao Lianlian , Zhou Li , Ding Xiaolin , Song Chenchen , Kang Taisheng , Xu Yanfeng , Liu Yunpeng , Han Yunlin , Zhao Wenjie , Xu Dan , Guo Jianguo 
Published: November 2024

Abstract

Fine particulate matter 2.5 (PM2.5) is an environmental pollutant in the atmosphere that is closely associated with asthma. Elderly patients have a high incidence of asthma with a long course of illness. Our previous studies revealed that exposure to PM2.5 reduces lung function and exacerbates lung damage in elderly rats. In the present study, we investigated whether PM2.5 exposure influences susceptibility to allergic asthma in elderly rats. Brown-Norway elderly rats were treated with ovalbumin (OVA) for different durations before and after PM2.5 exposure. The results from pulmonary function tests and histopathology revealed that early exposure to allergens prior to PM2.5 exposure increased susceptibility to airway hyperresponsiveness and led to severe lung injury in elderly asthmatic rats. Cytokine microarray analysis revealed that most cytokines and chemokines were upregulated in OVA-treated rats before and after PM2.5 exposure. Cytological analysis revealed that the number of EOS did not change, whereas the amounts of NEU, WBC, LYM, and MON in the lung lavage fluid of OVA-treated rats were significantly greater than those in the lung lavage fluid of control rats before and after PM2.5 exposure, suggesting that PM2.5 affects noneosinophilic asthma in elderly rats. ELISA results from the plasma and lung lavage fluid revealed that the levels of IgG1, IgE, IgG2a and IgG2b were significantly elevated in OVA-treated rats before and after PM2.5 exposure, whereas the level of IgG2b in the lung lavage fluid was significantly lower in those treated with OVA before PM2.5 exposure than in those after PM2.5 exposure. We performed a non-targeted metabolomic analysis of plasma and identified 202 metabolites. A total of 31 differentially abundant metabolites were screened, and 10 metabolites and 11 metabolic pathways were detected in only OVA-treated rats before PM2.5 exposure. Specifically, there were positive or negative correlations between the levels of Th2-associated cytokines (IL-4, IL-5, and IL-13) and the levels of 6 metabolites in the OVA-treated group before PM2.5 exposure, whereas the levels of IL-4 and IL-5 were negatively correlated with the levels of 5 metabolites in the OVA-treated group after PM2.5 exposure. Our findings suggest that PM2.5 exposure could influence the susceptibility of allergic asthma in response to allergens in elderly rats, possibly through changes in plasma metabolites.
Green Chemistry Approach to Ni 2+ , Co 2+ , and Cu 2+ Schiff Base Complexes: Spectroscopic Characterization, Cyclic Voltammetry, Bioactivity Insights and Molecular Docking Investigations
Authors: Abou-Melha Khlood S. 
Published: November 2024

Abstract

New Schiff base solid chelates derived from N-(benzol [d] thiazol-2-yl)-3-(2-hydroxybenzylidene) hydrazinyl)-3-oxopropanamide (H2L) as potent ligand and Ni2+, Co2+, and Cu2+ metal cations have been prepared through ball milling as green chemistry method, represents an environmentally friendly alternative to traditional solvents. The structure synthesized compounds have been illustrated by elemental analyses, 1H, 13C-NMR, FTIR, UV-visible, ESR, powder XRD, EDX, SEM, MS, and thermal analyses (TG, DTG). Also, some computational studies for isolated compounds have been estimated through DFT theory which is a quantum-mechanical atomistic model technique to compute an extensive variation of properties of any kind of atomic system. Standard methods have been used to assessment the bioactivity of H2L and its chelates as antimicrobial, antioxidant, cytotoxicity, erythrocyte hemolysis, and DNA- binding to assess their inhibitory effect. To evaluate the binding affinities of the analyzed compounds with the crystallographic structure of the Bcl2 receptor bound to the DRO ligand (PDB: 2w3l) Molecular Operating Environmental module (MOE) was used. Lastly, the electrochemical behavior of copper (II) ion were studied to investigate the chelation behavior in solution through technique of cyclic voltammetry in absence/presence of H2L at 291.15 K in mixed solvent of dimethyl sulfoxide and water.
Effect of bismuth on the microstructural evolution and properties of Single-Crystal Fe during rolling: a molecular dynamics study
Authors: Liu Menghui , Wang Fazhan , Fan Yuan , Li Pan , Li Guangyuan , Chen Zhan wen , Jiang Kai , Wu Hong 
Published: November 2024

Abstract

The rolling process is a technique that can improve the performance and surface roughness of workpieces, possessing unique economic value. Therefore, optimizing the rolling process parameters is crucial for workpiece performance. This article employs molecular dynamics simulation to investigate the influence of bismuth nanoparticles on the rolling process of single crystal iron. In addition to studying the presence of nanoparticles, the effects of different rolling depths are also considered. The results indicate that the presence of nano-Bi particles affects the variation of rolling force, stress distribution, and generation of dislocations during nano-rolling. During the rolling process, the deformation of Bi particles themselves leads to a decrease in rolling force in the inclusion region and the overall Von_Mises stress of the workpiece. The existence of Bi nanoparticles impedes the generation and movement of dislocations, resulting in the strengthening of the workpiece in the Bi particle region. BCC defect analysis (BDA) reveals dislocations, twinning, and vacancy defects in the workpiece. With the increase of rolling depth, the total rolling force, friction coefficient, and Von_Mises stress gradually increase. However, in the region affected by nano-Bi particles, the change in the direction of Bi particle structure with increasing rolling depth leads to an increase or decrease in normal rolling force, tangential friction force, and friction coefficient. This study contributes to understanding the role of Bi nanoparticles in machinable steel from a nanoscale perspective.
Sex differences in electrical activity of the brain during sleep: a systematic review of electroencephalographic findings across the human lifespan
Authors: Chapman Rhea , Najima Sarasa , Sant’Ana Thaisa Tylinski , Lee Christy Chi Kiu , Filice Francesco , Babineau Jessica , Mollayeva Tatyana 
Published: November 2024

Abstract

Background: With the explosion of techniques for recording electrical brain activity, our recognition of neurodiversity has expanded significantly. Yet, uncertainty exists regarding potential sex differences in electrical activity during sleep and whether these differences, if any, are associated with social equity parameters. We aimed to address this gap by synthesizing evidence through the PROGRESS-Plus lens.
Methods: We searched Medline ALL, Embase Classic + Embase, APA PsycInfo, Scopus, and Proquest Dissertations and Theses Global from inception to November 2021 to capture English language research that examined sex differences in electrical activity during sleep. Two researchers independently screened citations, then five researchers performed quality assessment following recommended criteria for observational studies. We analyzed data by wave frequency (delta, theta, alpha, sigma, beta, and gamma) and human developmental stages. We created visualizations considering study quality and PROGRESS-Plus parameters.
Results: Of the 2,783 unique citations identified, 19 studies with a total of 2,659 participants (51% male) met inclusion criteria. The most studied frequencies were delta, reported in 15 studies (79%), followed by theta, alpha, and sigma, reported in 11 studies (58%) each. The least studied were beta and gamma, reported in eight (42%) and two studies (11%), respectively. Several studies included participants at different developmental stages. Children and adolescents were included in 15 studies (79%), which predominantly investigated delta and theta bands. Middle aged and older adults were included in eight (42%) studies, with focus on delta and alpha bands. No studies investigated sex differences in prenatal stage, infancy, or toddlerhood. Results suggest moderate certainty in spectral power in delta, theta, and sigma frequency bands favoring females, and in beta connectivity favoring male participants. Consideration of PROGRESS-Plus parameters in data collection, analysis, and interpretation was limited.
Conclusion: Data on sex differences in brain activity during sleep is limited and inconclusive, with little attention to social parameters. Further research is crucial for advancing equitable knowledge generation that captures the unique cognitive, behavioral, and emotional processes of people as they progress through life. PROSPERO: CRD42022327644. Funding: Canada Research Chairs (Neurological Disorders and Brain Health, CRC-2021-00074); UK Pilot Award for Global Brain Health Leaders (GBHI ALZ UK-23-971123).
Transcriptomic and Proteomic Integrated Analysis Reveals Molecular Mechanisms of 3D Bioprinted Vaginal Scaffolds in Vaginal Regeneration
Authors: Zhang Xuemei , Zheng Jiahua , Zhang Liye , Zhang Jingkun , Zhang Lin , Huang Xianghua 
Published: November 2024

Abstract

3D bioprinting technology has been applied to vaginal reconstruction with satisfactory results. Understanding the transcriptome and proteome of regenerated vaginas is essential for knowing how biomaterials and seed cells contribute to vaginal regeneration. There are no reports on the systemic analysis of vaginal regeneration transcriptomes or proteomes. This study aims to explore the transcriptomic and proteomic features of vaginal tissue reconstructed with 3D bioprinted scaffolds. The scaffolds were made with biomaterials and bone marrow-derived mesenchymal stem cells (BMSCs) and then transplanted into a rabbit model.RNA sequencing was used to analyze the transcriptomes of reconstructed and normal vaginal tissues, identifying 11,956 differentially expressed genes (DEGs). Proteomic analysis using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and data-independent acquisition (DIA) identified 7,363 differentially expressed proteins (DEPs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on DEGs and DEPs. Results showed that DEGs and DEPs were involved in extracellular matrix remodeling, angiogenesis, inflammatory response, epithelialization, and muscle formation. This study shows that 3D bioprinted scaffolds are feasible for vaginal reconstruction and offers new insights into the molecular mechanisms involved.
Correlates of embolic complications in a contemporary cohort of infective endocarditis: performance of a diagnostic score model
Authors: Bertolino Lorenzo , Unar Ahsanullah , Patauner Fabian , Gallo Raffaella , Peluso Anna Maria Carolina , Femine Augusto Delle , Infante Oriana , Mercadante Silvia , Luciano Fabio , Manduca Sabrina , Andini Roberto , Zampino Rosa , Mangoni Emanuele Durante 
Published: November 2024

Abstract

Purpose
Infective endocarditis (IE) is a heterogeneous disease undergoing epidemiological changes. Whether those changes have an impact on the correlates of embolic events (EE) remains unclear. We analyzed the correlates of EE and the performance of a diagnostic score model in a large contemporary cohort.
Methods
This is a retrospective observational study including patients with definite valve IE admitted between 2000 and 2023. EE were defined as acute complications causing overt clinical manifestations. The study primary aim was to identify independent correlates of EE.
Results
715 valve-IE cases were included. EE occurred in 41.4% (n=296) of patients. S. aureus etiology (OR 2.708[1.268–5.786];p=0.010), C-reactive protein>6.7 mg/dL (OR 2.415[1.371–4.252];p=0.002), and splenomegaly (OR 2.858[1.620–5.403];p<0.001) were independently associated with EE. VS≥14 mm (OR 1.575[0.925–2.682];p=0.061) and D-dimers >747 ng/mL (OR 1.677[0.976–2.881];p=0.061) showed a trend for independent association. These variables were included in a diagnostic score model. A stepwise increase of EE occurrence was found stratifying patients into 3 categories (score 0-2–22%; score 3-5–53%; score 6-8–78%;p<0.001). A cut-off of 2 showed a sensitivity of 83% and a specificity of 50% (AUROC 0.732; p<0.001).
Conclusion
EE were independently associated to S. aureus, C-reactive protein and splenomegaly and less strongly linked to vegetation size in our cohort. These results may be explained by a change in embolic complications correlates linked to the epidemiological shift. The discriminative ability of our score was only fair. At present, clinicians should rely upon clinical and imaging data to diagnose EE.
Effect of early regional anesthesia on postoperative cognitive function and the perioperative stress response in patients with hip fractures: a randomized controlled trial
Authors: Ma Peng , Zeng Rui , Jiang Peng 
Published: November 2024

Abstract

Background
This study aimed to compare the incidence of postoperative cognitive dysfunction (POCD) in patients with regional nerve blocks performed at different times, i.e., regional block performed the day before surgery and the hour before surgery.
Methods
This prospective, partially unblinded, randomized, clinical trial included 76 patients aged ≥ 65 years who were admitted to the hospital for primary unilateral total hip replacement due to hip fractures between December 2022 and February 2024. All patients were randomly assigned to either the day before surgery (D group, n = 37) or the hours before surgery (H group, n = 39). The primary objective of this study was to compare the incidence of postoperative cognitive dysfunction between the two groups. The secondary outcomes included postoperative pain scores at specific time points, the time to first rescue analgesia, cumulative opioid consumption during hospitalization, the postoperative recovery time of motor function, the time to hospital discharge, sleep quality, QoR-15, and associated laboratory tests.
Results
The incidence of postoperative cognitive dysfunction did not significantly differ between the two groups. Compared with that of the hour before surgery group, the pain score in the resting and moving states of the day before surgery group was significantly lower. No significant difference in quadriceps strength or postoperative complications was observed between the two groups.
Conclusions
Compared the treatment effects of primary unilateral total hip arthroplasty (THA) with those of a single AIMSE block on the day and hour before surgery, the incidence of postoperative cognitive dysfunction was similar in both groups. This study supports the idea that early anterior iliopsoas muscle space block (AIMSB) can improve postoperative pain in patients undergoing THA.
Trial registration ChiCTR2200066797, 17/12/2022.
Bayesian Inference for the Beta-Weibull Distribution with Applications to Cancer and Under-nutrition Data
Authors: Habtewold Fekade Getabil , Goshu Ayele Taye , Arero Butte Gotu 
Published: November 2024

Abstract

The Weibull probability distribution can be used to model data from many subject areas such as survival data in health, reliability data in engineering and insurance, and life data in biological science. This distribution was further extended to the Beta-Weibull distribution in literature, however, its Bayesian parameter estimation method is not yet available. In this study, we provide a Bayesian inference for the Beta-Weibull distribution, denoted as Bayesian Beta-Weibull distribution. The Bayesian approach with gamma distribution and uniform prior density functions are proposed and studied. Simulations of the Bayesian posterior model are conducted in the Stan R package, which is the probabilistic programming language. The full Bayesian statistical inference is implemented with Markov Chain Monte Carlo simulations. The results show that the parameters of the Bayesian Beta-Weibull distribution are estimated effectively and the model demonstrates a good fit to the simulated data and real-world data sets considered. We conclude from this study that the Bayesian inference for the parameters of Beta-Weibull distribution is found to be more reliable and comparable to the Maximum Likelihood estimation method in data fitting to various health applications, for example, cancer and under-nutrition data sets studied.
The generation and dispersal of infectious respiratory particles - using respiratory and oral commensal bacteria as index organisms for respiratory pathogens
Authors: Barkoci Patricia , D’Costa Wilhemina , Verlander Neville Q , Yaxley Nicola , Moore Ginny 
Published: November 2024

Abstract

There is a need to better understand the dispersal and spread of respiratory pathogens. However, carrying out controlled microbiology-based simulation studies is difficult particularly if the target organism is highly pathogenic or is currently unknown. An alternative approach is to use commensal respiratory bacteria as index organisms. Two cohorts of healthy volunteers were asked to perform defined respiratory activities within a purpose-built flexible-film isolator. The dispersal of bacteria-laden particles was assessed via passive and active air sampling. Activities were carried out with or without a face covering. Dispersal of respiratory particles differed with individual. During speech, increased vocal volume was associated with a significant increase in the number of respiratory bacteria deposited on surfaces and recovered from the air. Disposable (IIR) medical face masks significantly reduced droplet deposition and reduced the odds of detecting higher numbers of airborne bacteria by 87% (CI: 63%, 96%). Transparent face coverings were as effective as (IIR) face masks, but face shields had limited efficacy, particularly when worn by individuals who dispersed high numbers of respiratory particles. Index organisms can be used to study respiratory transmission in the absence of the target pathogen. This study demonstrates their utility in the context of pandemic preparedness.