bluuebunny/crossref_metadata_2025_split huggingface dataset:
Leakage diffusion and safety assessment of CO2 pipeline transportation flange based on CFD simulation
Authors: Huang Weiqiu , Xiao Yilan , Li Xufei , Ning Zhou 
Published: August 2024

AbstractCarbon capture and storage technologies play crucial roles in mitigating atmospheric greenhouse gases (GHGs). Pipeline transportation is the primary method of CO2 transportation, making pipeline safety a priority. In this study, Fluent software was used to create a model for annular edge leakage flanges, which significantly differs from the traditional pinhole leakage model. This study aims to examine the impact of CO2 pipeline flow and pressure on the diffusion of gas leaking from the flange and to develop a precise correlation between the diffusion distance and substance concentration. The results indicate that an increase in flow and pressure intensifies the diffusion of the flange leakage. Specifically, for a leakage lasting 96 s at flow rates of 0.7 and 10 m3/h, the diffusion ranges for the 5% concentration alarm threshold are 0.47 and 2.86 m, respectively. Furthermore, at a speed of 10 m/s and a pressure of 0.4 MPa, the diffusion ranges for 5 and 2% alarms are similar, spanning from 0.33 to 0.35 m. This study provides theoretical support and technical improvements to ensure the safe operation of pipelines. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.
Conscience, Caricatures, and Catholic Identities
Authors: Mitchell Cory D. 
Published: August 2024

AbstractCatholic health care is often viewed as antithetical to secular conceptions of autonomy. This view can engender calls to protect “choice” in Catholic facilities. However, this view is built on a fundamental misunderstanding of the Ethical and Religious Directives for Catholic Health Care Services (ERDs). This commentary, which responds to “Principled Conscientious Provision: Referral Symmetry and Its Implications for Protecting Secular Conscience,” by Abram Brummett et al., seeks to demonstrate the nuance of the ERDs as well as to address some of the challenges various Catholic identities have when interpreting and living out the ERDs so that all patients receive high‐quality, compassionate care. By highlighting the Church's desire to protect all people at every stage, I hope to dispel the caricatures that often result from misunderstandings by Catholics and non‐Catholics alike.
A novel prognostic score (HAMP) for head and neck cancer patients with single and multiple SBRT‐treated lung metastases derived from retrospective analyses of survival outcome
Authors: Vorbach Samuel M. , Seppi Thomas , Sarcletti Manuel P. , Kollotzek Siegfried , Mangesius Julian , Lehmann Jens , Riedl David , Pointner Martin J. , Santer Matthias , Dejaco Daniel , Nevinny‐Stickel Meinhard , Ganswindt Ute 
Published: August 2024

AbstractBackgroundWe report on the characterization and introduction of a novel prognostic score for patients undergoing stereotactic body radiotherapy (SBRT) for the treatment of single and multiple pulmonary metastases (PMs) derived from head and neck cancer (HNC).MethodsIn this retrospective study, we examined selected factors associated with progression‐free survival (PFS) and overall survival (OS) among 59 patients with HNC treated with SBRT for a total of 118 PMs, between 2009 and 2023. Factors related to survival were included in the prognostic scoring system.ResultsPrognostic factors including histology, age, number of metastases, and performance status at first SBRT were weighted differently depending on the strength of correlation to PFS and OS. Total prognostic scores (HAMP) ranged from 13 to 24 points, with a cut‐off total score of ≤18 scoring points for patients in a high‐risk (HR) subcohort, and of ≥19 scoring points for patients in a low‐risk group (LR). Median PFS (23.8 vs. 5.5 months, p < 0.001) and OS (61.3 vs. 16.4 months, p < 0.001) were significantly longer in the low‐risk group compared to the high‐risk group.ConclusionThe HAMP score might be a convenient tool to facilitate individualized treatment decisions and appropriate follow‐up. The accuracy and reliability of the score requires further evaluation in prospective studies.
Comparison of different techniques in determining groundwater levels trends in Türkiye
Authors: Kartal Veysi , Nones Michael , Topcu Emre , Ariman Sema 
Published: August 2024

AbstractGroundwater represents one of the largest resources of freshwater in the world. Thus, investigations of groundwater level variations due to climate change and increasing human activities are of great importance, especially in resource scarce regions. Our research aimed to understand the long‐term effects of climate events and water use on groundwater levels over the study area via Mann‐Kendall, Sen's Slope, Innovative Polygon Trend Analysis (IPTA), and Innovative Trend Analysis (ITA) analyses. Although several studies are available in relation to GWL trend analysis via ITA, Mann‐Kendall and Sen slope in the literature, there are few IPTA studies conducted. The focus of the study was seven wells across Türkiye over the period 1987–2022. Results demonstrate that there was a downward trend in GWL in all stations annually, regardless of the method. At monthly scale, a decrease was noted, especially in June, August, and September, while seasonally, decreases were seen in autumn and winter. Moreover, it was evident the results of the Sen slope and ITA were compatible, while the IPTA was a useful tool in detecting GWL trends. Identifying and understanding GWL trends is highly valuable in informing groundwater resource managers of critical areas of overuse and other factors affecting groundwater, resulting in preventive interventions to overcome such problems and protect this critical resource.
Projections of rain‐on‐snow events in a sub‐arctic river basin under 1.5°C–4°C global warming
Authors: Warden Jack W. , Rezvani Reza , Najafi Mohammad Reza , Shrestha Rajesh R. 
Published: August 2024

AbstractRain‐on‐snow (ROS) is a compound hydrometeorological extreme event that can lead to severe socioeconomic impacts and affect ecosystem function. In high‐latitude regions, the percolation of liquid precipitation through snowpack and the associated formation of ice layers can create greater potential for significant runoff and also cause hardship for wintertime ungulate foraging. In this study, we assess the characteristics of ROS events and the corresponding impacts over a large sub‐arctic river basin in northwestern Canada. We propose seven indices to assess the projected changes in both major and minor ROS events, defined as instances of 10 and 3 mm/day, respectively, of rainfall occurring on SWE greater than 5 mm, taking into account precipitation intensity and snowpack depth. We use simulations from the variable infiltration capacity hydrologic model driven by a suite of multivariate bias‐corrected global climate models from the fifth phase of the Coupled Model Intercomparison Project and assess the ROS changes under the 1.5, 2, 3 and 4°C global warming levels above the pre‐industrial period. Overall, ROS events occur more frequently in October–December and January–March (JFM) compared to other seasons. The effects of major and minor ROS events on runoff generation in JAS and OND are considerable at higher elevations, with mean runoff more than 50% greater on ROS days than non‐ROS days in many cases. Furthermore, the analyses project notable increases in the frequency of both Major and Minor ROS events in all summer and fall. However, a notable decrease in ROS frequency is present in spring, and in winter, ROS frequency has inconsistent changes. Our comprehensive assessment of ROS events, their projected changes, and associated impacts in a sub‐arctic river basin underscore these events' critical role in shaping hydrological patterns and affecting communities, infrastructure and ecosystem dynamics.
Exploring hydrological dynamics of layered pyroclastic soils by combining laboratory and field experiments with a numerical model
Authors: Busti Riccardo , Capparelli Giovanna , Formetta Giuseppe 
Published: August 2024

AbstractRainfall infiltration plays a crucial role in the near‐surface response of soils, influencing other hydrological processes (such as surface and subsurface runoff, groundwater dynamics), and thus determining hydro‐geomorphological risk assessment and the water resources management policies. In this study, we investigate the infiltration processes in pyroclastic soils of the Campania region, Southern Italy, by combining measured in situ data, physical laboratory model observations and a 3D physically based hydrological model. First, we validate the numerical model against the soil pore water pressure and soil moisture measured at several points in a small‐scale flume of a layered pyroclastic deposit during an infiltration test. The objective is to (i) understand and reproduce the physical processes involved in infiltration in layered volcanoclastic slope and (ii) evaluate the ability of the model to reproduce the measured data and the observed subsurface flow patterns and saturation mechanism. Second, we setup the model on the real site where soil samples were collected and simulate the 3D hydrological response of the hillslope. The aim is to understand and model the dynamics of hydrological processes captured by the field observations and explain the redistribution of water in different layers during 2 years of precipitation. For both applications, a Monte Carlo analysis has been performed to account for the hydrological parameter uncertainty. Results show the capability of the model to reproduce the observations in both applications, with mean KGE of 0.84 and 0.68 for pressure and soil moisture data in the laboratory, and 0.83 and 0.55 in the real site. Our results are significant not only because they provide insight into understanding and simulating infiltration processes in layered pyroclastic slopes but also because they may provide the basis for improving geohazard assessment systems, which are expected to increase, especially in the context of a warming climate.
Benefit of adjuvant chemotherapy on recurrence free survival per consensus molecular subtype in stage III colon cancer
Authors: van de Weerd Simone , Torang Arezo , van den Berg Inge , Lammers Veerle , van den Bergh Saskia , Brouwer Nelleke , Nagtegaal Iris D. , Koopman Miriam , Vink Geraldine R. , van der Baan Frederieke H. , van Krieken Han , Koster Jan , Ijzermans Jan N. , Roodhart Jeanine M. L. , Medema Jan Paul 
Published: August 2024

AbstractThe consensus molecular subtype (CMS) classification divides colon tumors into four subtypes holding promise as a predictive biomarker. However, the effect of adjuvant chemotherapy on recurrence free survival (RFS) per CMS in stage III patients remains inadequately explored. With this intention, we selected stage III colon cancer (CC) patients from the MATCH cohort (n = 575) and RadboudUMC (n = 276) diagnosed between 2005 and 2018. Patients treated with and without adjuvant chemotherapy were matched based on tumor location, T‐ and N‐stage (n = 522). Tumor material was available for 464 patients, with successful RNA extraction and CMS subtyping achieved in 390 patients (surgery alone group: 192, adjuvant chemotherapy group: 198). In the overall cohort, CMS4 was associated with poorest prognosis (HR 1.55; p = .03). Multivariate analysis revealed favorable RFS for the adjuvant chemotherapy group in CMS1, CMS2, and CMS4 tumors (HR 0.19; p = .01, HR 0.27; p < .01, HR 0.19; p < .01, respectively), while no significant difference between treatment groups was observed within CMS3 (HR 0.68; p = .51). CMS subtyping in this non‐randomized cohort identified patients with poor prognosis and patients who may not benefit significantly from adjuvant chemotherapy.
Designing a farmers digital information system for sustainable agriculture: The perspective of Tanzanian agricultural stakeholders
Authors: Mushi Gilbert E. , Burgi Pierre‐Yves , Serugendo Giovanna Di Marzo 
Published: August 2024

AbstractThis paper is part of a broader study that aims to design and develop a digital platform that addresses the common challenges of smallholder farmers. More specifically, we analyzed stakeholders' opinions on the farmers' digital information system (FDIS) designed for sustainable agriculture in Tanzania. We used a qualitative research approach to interview 74 key agricultural stakeholders, including the Ministry of Agriculture, the government subsidy office, agricultural insurance companies, financial institutions, farmers, extension agents and agro‐dealers in 13 regions of Tanzania. The study findings reveal that most stakeholders could adhere to the FDIS design for sustainable agriculture, as it potentially solves common challenges by enabling access to quality farm inputs, credit and insurance services, subsidies, advisory services, and markets for their products. However, the study identified certain factors that could hinder the full potential of the envisaged system, such as digital illiteracy and poor ICT infrastructures in rural areas. By interviewing key agricultural stakeholders, we confirm the potential of FDIS to make agriculture more sustainable in low‐ and middle‐income countries. The FDIS should therefore contribute to food security, environmental protection, job creation and higher incomes, as the agriculture sector becomes more dynamic once it is localized and adapted to the needs of all agricultural stakeholders. In addition, the government is expected to play a key role in setting up the agricultural stakeholders at a national level to help them overcome the challenges involved in exploiting the full potential of the FDIS.
Portfolio management with the help of AI: What drives retail Indian investors to robo‐advisors?
Authors: Banerjee Sougata 
Published: August 2024

AbstractPortfolio management is a critical component of financial investments. With the advent of artificial intelligence (AI)‐driven portfolio management, retail investors have the choice to utilize cutting‐edge technology to manage their investment portfolios. This study analyzes and portrays the effects of factors influencing the adoption of financial robo‐advisors (FRAs) among retail investors in India. A framework comprising eight constructs is proposed to understand FRA adoption. Structural equation modeling (SEM) was used to analyze data from 387 respondents among Indian retail investors using the IBM SPSS AMOS version 28 software package. The results indicate that technology readiness and financial literacy are the two strongest predictors of the behavioral intention to adopt FRA. Additionally, this study provides empirical evidence that social influence and investor type are relevant determinants of customers' decisions to adopt FRA. This study provides managers with guidance on the target segment of consumers for FRA and insights into the drivers of adoption. It further highlights the importance of investor profiling beyond just demographics to improve adoption.
Biologically based strategies for overcoming in vivo barriers with functional nano‐delivery systems
Authors: Ahmadzadeh Roya , Taheri Seyed Alireza , Mohammadi Neda , Hjazi Ahmed , Menon Soumya V. , Kadhum Wesam R. , Kumar Abhinav , Shakir Maha Noori , Shayan Farid Karkon , Shirinkami Nahal 
Published: August 2024

AbstractNanomedicine has been developed to reduce or eliminate the side effects and toxicity upon systemic therapy of chemotherapeutic agents and to improve their therapeutic efficacy. However, the translation of non‐sized or nano‐encapsulated drugs is hampered by the low penetration and accumulation of engineered nanoparticles (NPs) in sites of tumors as well as their poor pharmacokinetics. This may be due to the synthetic structure of NPs and also complicated and unknown characteristics of the solid tumor microenvironment (TME). As a result, the TME is being better identified, and the interactions between NPs and the TME or human body are being discovered or predicted. These findings have led to the development of more biocompatible, intelligent, and controllable bio‐based nanoformulations that could overcome current barriers and provide sufficient drug delivery to the TME, as discussed in this paper. These formulations are designed to (i) modify the surface of NPs to improve blood circulation while reducing their off‐target accumulation and side effects in vivo, (ii) pass through the tumor vasculature by modulating or targeting angiogenesis, (iii) promote NPs distribution in solid tumor regions by applying biological/physical stimuli or extracellular matrix remodeling, and (iv) overcome the cell membrane barrier and other compartments of the cell by specific cell targeting to release the payload drug into the cytoplasm or nucleoplasm.
Determination of linear alkyl benzene sulfonates in vegetable by modified QuEChERS coupled to liquid chromatography‐tandem mass spectrometry
Authors: Hutagalung Sarawinda , Ariesto Yohanes , Li Yen‐Hsien , Wong Sio‐Leng , Chen Chung‐Yu , Lee Maw‐Rong 
Published: August 2024

AbstractLinear alkyl benzene sulfonates (LASs) with alkyl chains from C10 to C14 are the most commonly used anionic surfactants in household laundry. However, LAS toxicity toward agricultural soil further could be formed at a risk for fruits and vegetables grown on the land, so that to develop a sensitive and precise analytical technique for determination of trace residual sulfonates in vegetables is very important for health. This study developed a QuEChERS extraction coupled to liquid chromatography–tandem mass spectrometry (LC–MS/MS) method for analyzing LASs in vegetables and fruits. The best results were obtained using acetonitrile as the extraction solvent combined with 25 mg primary secondary amine and 25 mg graphitized carbon black as sorbents. The linearity ranged between 1 and 250 ng/mL as well as limit of quantification (LOQ) was obtained in the range of 0.01–0.23 ng/mL of the proposed analytical method. The proposed method was utilized to detect the real spinach samples and water spinach planted with LASs‐spiked water, and the results showed the trace LASs were detected with concentration between 1.8 and 29.1 ng/g. In this study, a thorough optimization and validation of different amount of sorbent cleanup efficiency approaches was performed for the first time for the analysis of LAS.
Enhanced methane production from protein and lipid‐rich wastewater using powdered oat husk‐biochar
Authors: Pagés‐Díaz Jhosané , Vidal Iván , Huiliñir César , Hernández‐Velez Leslie , Lorenzo‐Llanes Junior 
Published: August 2024

AbstractBACKGROUNDDue to the lower degradation and the potential inhibitory compounds present in slaughterhouse wastewater (SW), its industrial applications are often limited to methane production. This study investigated the combined effect of conductive material such as oat husk‐biochar at different concentrations (0, 5, 10, 15, 20, 25 g L−1) and particle sizes (i.e., Powder Biochar (PB) (0.05–0.08 mm) vs. Granular Biochar (GB) (0.8–1.0 mm)) in the methane production, biodegradability, kinetic parameters, methanogenic activity and digestate quality of SW, using a multilevel factorial design.RESULTSExperimental results showed that lower concentration (5, 10 g L−1) increased the methane yield up to 35% for PB and between 11 and 13% for GB compared to the control reactor. The total ammoniacal nitrogen concentrations in the digestate declined between 14% and 52% for all biochar dosages and particle sizes. PB improved the specific methanogenic activity of the biomass compared with GB, indicating that PB can support a well‐balanced methanogenic community compared with GB inside the digester. The multiple response optimization process computed that 7.5 g L−1 of PB is optimal to increase the methane yield, the COD degradation efficiency and shorten the lag phase. On the other hand, doses higher than 15 g L−1 hinder methane generation.CONCLUSIONSPB supplementation has significant potential to improve the anaerobic degradation of SW. The improvement is attributed to the higher specific surface area, contributing to better support and microbial activity. © 2024 Society of Chemical Industry (SCI).
Radial head arthroplasty diameter impact on elbow kinematics evaluated by dynamic radiostereometric analysis
Authors: Teilmann Johanne F. , Petersen Emil T. , Thillemann Theis M. , Hemmingsen Chalotte K. , Kipp Josephine O. , Stilling Maiken 
Published: August 2024

AbstractPurposeRadial head arthroplasty (RHA) reestablishes elbow stability after complex radial head fracture, but complication rates are high, possibly due to inappropriate implant sizing. Knowledge of impact of radial head implant diameter on elbow kinematics is limited and warranted. This study evaluated elbow kinematics of different radial head implant diameters after RHA using dynamic radiostereometric analysis (dRSA).MethodsEight human donor arms were examined with dRSA during elbow flexion with the forearm in unloaded neutral position, and in supinated‐ and pronated position without and with 10N either varus or valgus load, respectively. Elbow kinematics were examined before and after RHA with head diameters of anatomical size, −2 mm (undersized), and +2 mm (oversized). The ligaments were kept intact by use of step‐cut humerus osteotomy for repeated RHA exchange. Bone models were obtained from CT, and by AutoRSA software bone models were matched with dRSA recordings. The elbow kinematics were described using anatomical coordinate systems.ResultsCompared to the native radial head during elbow flexion, the anatomical sized RHA shifted 2.0 mm in ulnar direction during unloaded pronated forearm position. The undersized RHA shifted 1.5 mm in posterior direction and 2.1 mm in ulnar direction during unloaded pronated forearm position and increased the varus angle by 2.4° during supinated loaded forearm position. The oversized RHA shifted 1.6 mm in radial direction during loaded supinated forearm position.ConclusionsThe anatomically sized RHA should be preferred as it maintained native elbow kinematics the best. The kinematic changes with oversized and undersized RHA diameters were small, suggesting forgiveness for the RHA diameter size.Level of EvidenceLevel III.
Enhancement of multiplication factor of capacitor using single current follower differential input transconductance amplifier
Authors: Raj Ajishek , Shrivastava Meghana , Bhaskar D. R. , Kumar Pragati 
Published: August 2024

AbstractThis paper presents a new circuit approach to realize a capacitance multiplier circuit with positive and negative multiplication factors. Based on this approach, two new implementations of positive and negative grounded capacitance multiplier (GCM) circuits are proposed, which utilize only one current follower differential input transconductance amplifier (CFDITA), in conjunction with only one resistor and one virtually grounded capacitor. The presented GCM circuits can enhance a low capacitance value to a very high value (used in low frequency applications), up to 9202 times its original value. An important aspect of the proposed circuits involves designing a lossy parallel inductor circuit by interchanging the passive elements (RC:CR transformation) with each other. The obtained value of the capacitance and inductance can be controlled independently and electronically through the transconductance of CFDITA. The practical usability of the suggested circuits as first and second order filters is discussed. The functionality of the proposed GCM circuits is validated using CMOS CFDITA implemented with 180 nm TSMC technology parameters. Experimental verification of the proposed circuits and application examples is reinforced through the utilization of CFDITA implemented with readily available ICs AD844 and LM13700. These outcomes emphasize the dependability of the suggested circuits.