bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Characteristics of Particle Trajectories in DFN and Consequences on Travel Time Distributions
Authors: Le Goc R. , Darcel C. , Davy P. , Selroos J. O. 
Published: January 2023

Abstract
This paper focuses on the understanding of the controlling factors of breakthrough curves in fractured systems. DFN.lab is used to define DFN models derived from the characteristics of a sub-part of the Forsmark repository and to perform simulations of flow and of inert transport with a particle tracking algorithm. We show that particles potentially follow two kind of paths: fast paths, composed by a limited number of highly transmissive, well oriented fractures, and slow paths, where particles go through a larger number of fractures. These paths have different characteristics: fast paths are controlled by the transmissivity structure of some large fractures and produce “peak” arrival times while slow paths are controlled by the network organization and the transmissivity structure, resulting in arrival times obeying an inverse gamma distribution. In addition, those late arrival times are controlled by the presence of "traps" where the velocity is significantly slower.
Analyzing Anisotropy in Fracture Networks: A Flow Simulation Approach
Authors: Sahu Ajay K. , Roy Ankur 
Published: January 2023

Abstract
Anisotropy may be observed in rock masses that contain fractures and affects several properties including flow behavior which is controlled by how fractures are clustered in space. While Rose diagrams are often used for delineating "fracture sets" in different directions, it is a challenge to quantify anisotropy in terms of fracture clustering that controls fluid flow. This research attempts to answer the question by capturing the anisotropy in fluid production rates of fracture networks and implements a modified inverted five-spot water flooding pattern. Flow simulation is done by considering the fracture continuum (FC) model and using a Darcy based streamline simulator. The results from this “dynamic modeling” approach is compared with the anisotropy in fracture clustering for a set of natural maps. Coefficient of variation that can differentiate between clustered, random, and anticlustered fractures in 1-dimensional fracture data is used for quantifying the “clustering” anisotropy in 2-dimensional fracture networks. We employ this parameter for evaluating directional clustering in such networks by moving a set of scanlines in two mutually perpendicular directions and finding the respective arithmetic averages. The results show that overall fluid production values tend to be higher in the direction of highly clustered fractures. It implies that a “dynamic” approach can be successfully used for evaluating the anisotropy of a reservoir and larger ratio in production values in two mutually perpendicular directions suggests the presence of fracture clusters. If such anisotropy is taken into account, it can help in building more realistic DFN models.
Educational Manga Series: Pseudo-Interactive Effect in Learning Mathematics through Modular Distance Learning
Authors: Palanas Victorina de Torres , Palanas Dexter 
Published: January 2023

The education disruption has had and will continue to have substantial effects beyond education. The closure of schools worldwide became a signal to implement distance or remote learning. However, online learning modalities were associated with positive impact and effectiveness due to their feasible variables, such as assessment and interaction. Most learners still choose modular distance learning modality due to the lack of available materials and internet access. This study aims to develop an educational manga series in Mathematics that will minimize the learning gaps and create a pseudo-interactive effect on learners to increase their interest in reading and understanding printed modules. Mixed-Method Research Design, specifically sequential explanatory design, was used to ensure the successful implementation of the intervention continually. Data was collected and interpreted using google forms and a focus group discussion (FGD) afterward via google meet. Based on the findings, it was found that manga can help the learners grasp the meaning of the text better; as learning material, it can enhance understanding of the Mathematics concept and instruction better. The illustration and story help the learners increase their motivation and excitement due to their pseudo-interactive effect. This effect is described as the feeling of being part of the story. Therefore, it is recommended to use educational manga as learning materials in flexible learning options (FLOs) and courses that require practical experience.
Association of Cigarette Smoking and Alcohol Consumption With Subsequent Mortality Among Black Breast Cancer Survivors in New Jersey
Authors: Zeinomar Nur , Qin Bo , Amin Saber , Lin Yong , Xu Baichen , Chanumolu Dhanya , Omene Coral O. , Pawlish Karen S. , Demissie Kitaw , Ambrosone Christine B. , Hong Chi-Chen , Bandera Elisa V. 
Published: January 2023

ImportanceThere are limited data about how lifestyle factors are associated with breast cancer prognosis among Black or African American women because most of the evidence is based on studies of White breast cancer survivors.ObjectiveTo examine the association of prediagnostic cigarette smoking and alcohol consumption with all-cause mortality and breast cancer–specific mortality in a cohort of Black breast cancer survivors.Design, Setting, and ParticipantsThis population-based cohort study included 1926 Black or African American breast cancer survivors who received a diagnosis from June 6, 2005, to May 21, 2019, identified in 10 counties in New Jersey through rapid case ascertainment by the New Jersey State Cancer Registry. Statistical analysis was conducted from January 1, 2021, to August 1, 2022.ExposuresInformation on prediagnostic cigarette smoking, alcohol consumption, and additional covariates was collected during in-person interviews. The covariates examined included smoking status at the time of breast cancer diagnosis (currently smoking at the time of breast cancer diagnosis, formerly smoking, or never smoking), smoking duration (number of years smoking), smoking intensity (cigarettes smoked per day), number of pack-years of smoking, and regular alcohol consumption the year before diagnosis (categorized as nondrinkers, ≤3 drinks per week, or &amp;gt;3 drinks per week).Main Outcomes and MeasuresPrimary outcomes included breast cancer–specific mortality and all-cause mortality.ResultsAmong the 1926 women in the study, the mean (SD) age at breast cancer diagnosis was 54.4 (10.8) years. During 13 464 person-years of follow-up (median follow-up, 6.7 years [range, 0.5-16.0 years]), there were 337 deaths, of which 187 (55.5%) were breast cancer related. Compared with never smokers, current smokers at the time of breast cancer diagnosis had a 52% increased risk for all-cause mortality (hazard ratio [HR], 1.52; 95% CI, 1.15-2.02), which was most pronounced for those with 10 or more pack-years of smoking (HR, 1.84; 95% CI, 1.34-2.53). Similar findings were observed for breast cancer–specific mortality (current smokers vs never smokers: HR, 1.27; 95% CI, 0.87-1.85), although they were not statistically significant. There was no statistically significant association between alcohol consumption and all-cause mortality (&amp;gt;3 drinks per week vs nondrinkers: HR, 1.05; 95% CI, 0.73-1.51) or breast cancer–specific mortality (&amp;gt;3 drinks per week vs nondrinkers: HR, 1.06; 95% CI, 0.67-1.67).Conclusions and RelevanceThis population-based cohort study of Black breast cancer survivors suggests that current smoking at the time of diagnosis was associated with an increased risk of all-cause mortality, particularly among women with greater pack-years of smoking.
Medical Costs of Substance Use Disorders in the US Employer-Sponsored Insurance Population
Authors: Li Mengyao , Peterson Cora , Xu Likang , Mikosz Christina A. , Luo Feijun 
Published: January 2023

ImportanceDirect costs of substance use disorders (SUDs) in the United States are incurred primarily among the working-age population. Quantifying the medical cost of SUDs in the employer-sponsored insurance (ESI) population can improve understanding of how SUDs are affecting workplaces and inform decision-making on the value of prevention strategies.ObjectiveTo estimate the annual attributable medical cost of SUDs in the ESI population from the health care payer perspective.Design, Setting, and ParticipantsIn this economic evaluation, Merative MarketScan 2018 databases were weighted to represent the non–Medicare eligible ESI population. Regression and mathematical modeling of medical expenditures controlled for insurance enrollee demographic, clinical, and insurance factors to compare enrollees with and without an SUD diagnosis to identify the annual attributable medical cost of SUDs. Data analysis was conducted from January to March 2022.ExposuresInternational Statistical Classification of Diseases, Tenth Revision, Clinical Modification SUD diagnoses on inpatient or outpatient medical records according to Clinical Classifications Software categories (alcohol-, cannabis-, hallucinogen-, inhalant-, opioid-, sedative-, stimulant-, and other substance-related disorders).Main Outcomes and MeasuresAnnual SUD medical cost in the ESI population overall and by substance type (eg, alcohol). Number of enrollees with an SUD diagnosis and the annual mean cost per affected enrollee of SUD diagnosis (any and by substance type) are also reported.ResultsAmong 162 million ESI enrollees, 2.3 million (1.4%) had an SUD diagnosis in 2018. The regression analysis sample included 210 225 individuals with an SUD diagnosis (121 357 [57.7%] male individuals; 68 325 [32.5%] aged 25-44 years) and 1 049 539 individuals with no SUD diagnosis. The mean annual medical cost attributable to SUD diagnosis per affected enrollee was $15 640 (95% CI, $15 340-$15 940), and the total annual medical cost in the ESI population was $35.3 billion (2018 USD). Alcohol use disorder ($10.2 billion) and opioid use disorder ($7.3 billion) were the most costly.Conclusions and RelevanceIn this economic evaluation of medical expenditures in the ESI population, the per-person and total medical costs of SUDs were substantial. Strategies to support employees and their health insurance dependents to prevent and treat SUDs can be considered in terms of potentially offsetting the existing high medical cost of SUDs. Medical expenditures for SUDs represent the minimum direct cost that employers and health insurers face because not all people with SUDs have a diagnosis, and costs related to absenteeism, presenteeism, job retention, and mortality are not addressed.
Association of Kidney Function With Development of Alzheimer Disease and Other Dementias and Dementia-Related Blood Biomarkers
Authors: Stocker Hannah , Beyer Léon , Trares Kira , Perna Laura , Rujescu Dan , Holleczek Bernd , Beyreuther Konrad , Gerwert Klaus , Schöttker Ben , Brenner Hermann 
Published: January 2023

ImportancePrevious research has suggested an association of kidney function with risk of Alzheimer disease (AD) or other dementias and dementia-related blood biomarkers, but a distinct association remains unclear.ObjectiveTo evaluate the association of kidney function with risk of diagnosis of incident AD or dementia within 17 years and with the blood biomarkers neurofilament light (NfL), phosphorylated tau181 (p-tau181), and glial fibrillary acidic protein (GFAP).Design, Setting, and ParticipantsIn this prospective, population-based cohort study and nested case-control study, 9940 participants in Germany were enrolled between 2000 and 2002 by their general practitioners and followed up for up to 17 years. Participants were included if information on dementia status and creatinine/cystatin C measurements were available. A subsample of participants additionally had measurements of NfL, p-tau181, and GFAP obtained from blood samples. Statistical analysis was performed from January 3 to November 25, 2022.ExposuresImpaired kidney function, based on estimated glomerular filtration rate less than 60 mL/min/1.73 m2 according to the 2021 Chronic Kidney Disease Epidemiology Collaboration creatinine–cystatin C equation.Main Outcomes and MeasuresAll-cause dementia, AD, and vascular dementia diagnosis, as well as log-transformed levels of NfL, p-tau181, and GFAP in blood.ResultsOf 6256 participants (3402 women [54.4%]; mean [SD] age at baseline, 61.7 [6.6] years), 510 received an all-cause dementia diagnosis within 17 years of baseline. The dementia-related blood biomarker nested case-control sample included 766 participants. After adjusting for age and sex, impaired kidney function at baseline was not associated with a higher risk of all-cause dementia (hazard ratio [HR], 0.95; 95% CI, 0.69-1.29), AD (HR, 0.94; 95% CI, 0.55-1.63), or vascular dementia diagnosis (HR, 1.06; 95% CI, 0.65-1.70) within 17 years. In the cross-sectional analysis, after adjusting for age and sex, impaired kidney function was significantly associated with NfL and p-tau181 levels in blood (NfL: β = 0.47 and P &amp;lt; .001; p-tau181: β = 0.21 and P = .003). After adjusting for age and sex, significant associations with GFAP levels were evident only among men (men: β = 0.31 and P = .006; women: β = −0.12 and P = .11).Conclusions and RelevanceIn this population-based study of community-dwelling adults, reduced kidney function was associated with increased levels of dementia-related blood biomarkers but not increased dementia risk. Kidney function might influence the accuracy of dementia-related blood biomarkers and should be considered in clinical translation.
Intrinsically Synchronized Flexible Visuo‐Haptic Device Operated by Single External Electric Field
Authors: Lee Gilwoon , Park Chaeyong , Park Doowon , Choi Seungmoon , Jeong Unyong 
Published: January 2023

AbstractProviding multisensory expression in a synchronized form helps human perception in human‐machine interfaces. Synchronized visuo‐haptic integration has been relatively less explored because the two expressions operate by different principles. This study demonstrates a flexible visuo‐haptic device that generates haptic sensation by electrovibration (EV) in conjunction with the synchronized optical expression by alternating‐current electroluminescence (ACEL). This study suggests material design and electric field modulation that are effective for both EV and electroluminescence (EL). Owing to the structural simplicity of the opto‐electrovibration (O‐EV) device, the EV and EL are intrinsically coupled under single electric field input. A curved O‐EV device simultaneously provides localized frictional tactile expression and localized luminescence on the touch screen. This study opens a simple material approach for multisensory expression that can be useful in soft haptic devices.
Vesicle‐Associated Actin Assembly by Formins Promotes TGFβ‐Induced ANGPTL4 Trafficking, Secretion and Cell Invasion
Authors: Frank Dennis , Moussi Christel Jessica , Ulferts Svenja , Lorenzen Lina , Schwan Carsten , Grosse Robert 
Published: January 2023

AbstractVesicle trafficking has emerged as an important process driving tumor progression through various mechanisms. Transforming growth factor beta (TGFβ)‐mediated secretion of Angiopoietin‐like 4 (ANGPTL4) is important for cancer development. Here, Formin‐like 2 (FMNL2) is identified to be necessary for ANGPTL4 trafficking and secretion in response to TGFβ. Protein kinase C (PKC)‐dependent phosphorylation of FMNL2 downstream of TGFβ stimulation is required for cancer cell invasion as well as ANGPTL4 vesicle trafficking and secretion. Moreover, using super resolution microscopy, ANGPTL4 trafficking is actin‐dependent with FMNL2 directly polymerizing actin at ANGPTL4‐containing vesicles, which are associated with Rab8a and myosin Vb. This work uncovers a formin‐controlled mechanism that transiently polymerizes actin directly at intracellular vesicles to facilitate their mobility. This mechanism may be important for the regulation of cancer cell metastasis and tumor progression.
Ambient air temperatures and solar radiation affect OJIP fluorescence transients of coffee plants in an agroforestry system
Authors: Azhar Aidil , Merdekawati Eka , Pramudia Aris , Cahyo Andi Nur , Ehara Hiroshi , Dahliani Lili 
Published: January 2023

AbstractPhysiological response of coffee plants to their environment was observed through leaf photosynthetic measurement. The leaf photosynthetic efficiency of coffee plants grown in agroforestry was identified at different elevations. Each elevation has variations in ambient air temperatures. OJIP transient fluorometry recorded that the photosynthetic efficiency responds differently at different elevations. The plants grown at 1200 MASL with higher ambient air temperatures experienced a rise in the OJIP steps of fluorescence transients, indicating the closure of some of the PSII reaction centers. However, the coffee plants grown at 1300 MASL, with lower ambient air temperatures and higher exposure to solar radiation, had better electron transport, as indicated by lower OJIP fluorescence transients, when compared to coffee plants grown at 1200 MASL. Regarding the OJIP fluorescence traits, it was found that the plants promoted better photosynthetic efficiency in the area with higher solar radiation and lower ambient air temperatures.
Deep learning‐based tomographic imaging of ECT for characterizing particle distribution in circulating fluidized bed
Authors: Li Jian , Tang Zheng , Zhang Biao , Xu Chuanlong 
Published: January 2023

AbstractThe gas and solids in a circulating fluidized bed (CFB) are heterogeneously dispersed and a multiscale flow regime may form both in time and space. Accurate measurement of the fluidizing process is significant for investigating the multiscale gas–solid flow characteristics and the design, optimization, and control of CFBs in various applications. This article develops a deep learning‐based tomographic imaging of electrical capacitance tomography (ECT) to characterize the particle concentration distribution in a CFB. The deep tomographic imaging approach is realized through training a well‐designed convolutional neural network (CNN) with the numerically built dataset. Simulation results demonstrate that the average values of the relative image errors reconstructed by CNN in the test set are 0.1110 and 0.1114 for the 60 and 100 mm pipes, respectively, which are better than the average values of 0.1819 and 0.2519 by the Landweber algorithm. With the verification of the trained model based on the prepared data can image the unseen typical flow patterns better than Landweber, it is further used to investigate the particle flow characteristics of a lab‐scale CFB. Experimental results reveal that the developed deep tomographic imaging of ECT can successfully measure the fluidized particle distribution in both the 60 and 100 mm pipes, showing good prediction and generality of the designed CNN model. A flow regime transformation from “annular” flow to “core‐annular” flow and pneumatic conveying is observed under the tested conditions. Besides, the flow regime would be highly affected by the fluidized gas flow rate and the initial bed height.
Sequencing antigen‐targeting antibodies and cellular therapies in adults with relapsed/refractory B‐cell acute lymphoblastic leukemia
Authors: Aldoss Ibrahim , Shah Bijal D. , Park Jae H. , Muffly Lori , Logan Aaron C. , Brown Patrick , Stock Wendy , Jabbour Elias J. 
Published: January 2023

AbstractThe recent approvals of four CD19‐or CD22‐targeted therapies for B‐cell acute lymphoblastic leukemia (B‐ALL) have transformed the treatment of relapsed/refractory (r/r) disease. Adults with r/r B‐ALL are usually eligible for all options, but there are no studies directly comparing these agents, and the treating physician must decide which to select. Each therapy has notable activity as a single agent but has limitations in particular settings, and the optimal choice varies. These therapies can be complementary and used either sequentially or concomitantly. Here, we review the current landscape of antigen‐targeted therapies for r/r B‐ALL and discuss considerations for their use.
Gut microbiota of skywalker hoolock gibbons (Hoolock tianxing) from different habitats and in captivity: Implications for gibbon health
Authors: Lan Li‐Ying , Hong Qi‐Xuan , Gao Shao‐Ming , Li Qi , You Yu‐Yan , Chen Wu , Fan Peng‐Fei 
Published: January 2023

AbstractThe gut microbiota plays an integral role in the metabolism and immunity of animal hosts, and provides insights into the health and habitat assessment of threatened animals. The skywalker hoolock gibbon (Hoolock tianxing) is a newly described gibbon species, and is considered an endangered species. Here, we used 16S rRNA amplicon sequencing to describe the fecal bacterial community of skywalker hoolock gibbons from different habitats and in captivity. Fecal samples (n = 5) from two captive gibbons were compared with wild populations (N = 6 gibbons, n = 33 samples). At the phylum level, Spirochetes, Proteobacteria, Firmicutes, Bacteroidetes dominated in captive gibbons, while Firmicutes, Bacteroidetes, and Tenericutes dominated in wild gibbons. At the genus level, captive gibbons were dominated by Treponema‐2, followed by Succinivibrio and Cerasicoccus, while wild gibbons were dominated by Anaeroplasma, Prevotellaceae UCG‐001, and Erysipelotrichaceae UCG‐004. Captive rearing was significantly associated with lower taxonomic alpha‐diversity, and different relative abundance of some dominant bacteria compared to wild gibbons. Predicted Kyoto Encyclopedia of Genes and Genomes pathway analyses showed that captive gibbons have significantly lower total pathway diversity and higher relative abundance of bacterial functions involved in “drug resistance: antimicrobial” and “carbohydrate metabolism” than wild gibbons. This study reveals the potential influence of captivity and habitat on the gut bacterial community of gibbons and provides a basis for guiding the conservation management of captive populations.
Long‐Lived Multiple Charge Separation by Proton‐Coupled Electron Transfer
Authors: Yang Xiao‐Dong , Zhou Jun‐Hao , Cui Jing‐Wang , Yang Jie , Jia Hong‐Peng , Sun Jian‐Ke , Zhang Jie 
Published: January 2023

AbstractMultiple charge separation has been successfully realized by a proton‐coupled electron transfer reaction in an organic cocrystal. Benefiting from the adjustable electronic energy level of the electron donor and acceptor through thermal‐induced proton migration, distinct optical absorption behaviors combined with color changes to blue or green are observed in these charge‐separated states. It is of interest to note that such charge‐separated states exhibit a longer lifetime of over a month as a result of the excellent coplanarity and π‐π interaction of the electron acceptors. Moreover, the enhanced absorption toward longer wavelengths endows the charge‐separated state with near‐infrared (808 nm) photothermal conversion for imaging and bacterial inhibition, whereby the conversion performance can be controlled by the degree of proton migration.