bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Situ Synthesis of CNT‐Bridged UiO‐66‐(COOH)2 on Polytetrafluoroethylene Porous Membrane for Portable Hemodialysis
Authors: Jiang Shuaiyang , Liu Ya , Liu Yulu , Wang Dongfang , Wang Xiaofeng , Li Qian 
Published: February 2025

ABSTRACTA portable home hemodialysis device is a miniaturized and easy‐to‐operate medical apparatus designed for patients with chronic kidney disease, enabling them to conveniently perform hemodialysis at home or while traveling. However, it imposes high requirements on the dialysis membrane in terms of dialysis efficiency, adsorption capacity, and blood compatibility. In this study, the composite membrane was fabricated through electrospinning, which is an in situ synthesis of carbon nano tube (CNT)bridged UiO66(COOH)2 on PTFE fibers. UiO66(COOH)2 increased the adsorption site by association with CNT, and achieved the adsorption of creatinine by hydrogen bond and π bond, which greatly reduced the usage of dialysis solution. UiO66(COOH)2 and CNT were first combined for creatinine adsorption, and its maximum static adsorption capacity was 66 mg/g. During the dialysis, the yielding membrane showed a creatinine clearance of 64.89% and a resistance protein rate of more than 98%. Compared with pure PTFE dialysis membrane, the amount of dialysate used to achieve the same dialysis effect was merely 1/10. Furthermore, the membrane has a hemolysis rate of 2% and a low platelet adhesion rate, which shows excellent blood compatibility. Therefore, the dialysis membrane prepared in this study is expected to promote the development of portable home hemodialysis devices.
Superior Flame Retardancy, Mechanical and Dielectric Properties of Epoxy Resin Composites Based on Molybdenum Disulfide‐Melamine Trimetaphosphate Crystallite Composites
Authors: Qin Peifan , Yi Deqi , Hao Jianwei , Gao Ming , Cao Xuewei , Sun Qixing , Zhou Jin 
Published: February 2025

ABSTRACTTo improve the flame retardancy, mechanical and dielectric properties of epoxy resin (EP), promoting the application in aeronautic industry and other fields, molybdenum disulfide‐melamine trimetaphosphate (MoS2‐MAP) crystallite composites are synthesized. The chemical, crystalline structure and thermal stabilities of MoS2‐MAPs are thoroughly characterized by Fourier transform infrared (FTIR), X‐ray diffraction (XRD), scanning electron microscope (SEM), and thermo‐gravimetric analysis (TGA) techniques, respectively. The morphologies of EP/MoS2‐MAP composites are assessed by SEM, thermal stability by TGA, fire retardancy by limiting oxygen index test (LOI), vertical burning standard test (UL‐94), and cone calorimeter tests, mechanical properties by stress strain tests, and dielectric properties by impedance analyzer. Compared with pure EP, the mechanical, dielectrical properties, thermal stabilities and flame retardancy of EP/MoS2‐MAP composites can be significantly improved due to the good dispersibility of MoS2 and MAP in matrix. While, the properties of EP/MoS2‐MAP composites can be further adjusted by controlling the mass raito of MoS2 and MAP in MoS2‐MAP crystallite. EP with 4 wt% of MoS2‐MAP‐50% (P content: 0.30%) shows the lowest dielectric constant and dielectric loss values on the basis of good flame retardancy and mechanical properties. The results show that the MoS2‐MAP crystallite composites can promote the application of EP composites in aeronautical devices, radar detection and other fields.
Information About the Moments or the Likelihood Model Parameters? A Chicken and Egg Problem
Authors: Ardakani Omid M. , Asadi Majid , Soofi Ehsan S. 
Published: February 2025

ABSTRACTThis article compares the information content of a sample for two competing Bayesian approaches. One approach follows Dennis Lindley's Bayesian standpoint, where one begins by formulating a prior for a parameter related to the problem in question and incorporates a likelihood to transition to a posterior. This contrasts with the usual Bayesian approach, where one starts with a likelihood model, formulates a prior distribution for its parameters, and derives the corresponding posterior. In both cases, the sample information content is measured using the difference between the prior and posterior entropies. We investigate this contrast in the context of learning about the moments of a variable. The maximum entropy principle is used to construct the likelihood model consistent with the given moment parameters. This likelihood model is then combined with the prior information on the parameters to derive the posterior. The model parameters are the Lagrange multipliers for the moment constraints. A prior for the moments induces a prior for the model parameters; however, the data provides differing amounts of information about them. The results obtained for several problems show that the information content using the two formulations can differ significantly. Additional information measures are derived to assess the effects of operating environments on the lifetimes of system components.
Transesterification of sunflower oil using catalysts obtained from the dispersion of potassium and calcium salts in mesoporous silica matrices
Authors: Benedictto Germán P. , Mardones Lucas E. , Legnoverde María S. , Basaldella Elena I. 
Published: February 2025

AbstractA set of catalysts was synthesized by impregnating mesoporous silicas (SBA‐15 and MCF) with calcium and potassium salts. The solids obtained were characterized by Fourier transform infrared, scanning electron microscopy, N2 adsorption/desorption porosimetry, energy dispersive X‐ray analysis and X‐ray diffraction. These catalysts were assessed for the transesterification of sunflower oil into fatty acid methyl esters. The catalyst support and the solids containing calcium exhibited low activity under the mild conditions chosen for this study (65°C and self‐generated pressure). In contrast, the presence of potassium significantly enhanced transesterification at very short reaction times, irrespective of the support nature. The methyl ester content was found to be strongly influenced by the basicity of the catalysts, attributed to different potassium compounds, achieving conversions exceeding 98%. However, catalytic activity declined upon reuse, with only a 5% methyl ester content achieved in the second cycle. This confirmed the hypothesis that metal species leach into the reaction mixture with a mechanism similar to that of homogeneous ones.
Navigating the Future: Examining Sustainable and Resilient Drivers Shaping the Integration of Crowdshipping in E‐Commerce Logistics
Authors: Awasthi Sawyasachi , Verma Priyanka , Narkhede Balkrishna E. 
Published: February 2025

ABSTRACTThe last mile is often subjected to unique challenges such as congested urban areas, unpredictable customer availability and the need for personalized services. To address these complexities, and to be competitive in the market, companies are increasingly turning towards innovative solutions. One such innovative solution is crowdshipping (CS). The concept of CS was first introduced by Walmart in 2013, where store customers may act as crowdshippers and fulfill the demands of online retailers or shops by transporting packages on their way home with guaranteed compensation. To understand the factors influencing CS and its potential to motivate logistics firms for delivery, this research work determines the 20 key sustainable and resilient factors affecting the adoption of CS in the e‐commerce logistics sector. Furthermore, the Neutrosophic Best‐Worst Method (NBWM) is employed to prioritize these factors, followed by the application of Neutrosophic Interpretive Structural Modeling (NISM) with cross‐impact matrix multiplication applied to classification (MICMAC) analysis to assess the interrelationships amongst the factors. The results of the NBWM reveal that technology for the successful implementation of CS, rating and reward system, delivery cost–time efficiency, CO2 emissions and service quality are the top five highly weighted factors. The results of NISM dictate the technology for the successful implementation of CS, integration of CS with the mainstream (operations research models), government interventions and the usage of back‐up drivers as the factors with the highest driving power. The proposed NBWM and NISM give direction to practitioners and policy managers in planning sustainable and resilient strategies for addressing CS implementation factors in the e‐commerce logistics sector. Further, competent strategies can be developed by the managers based on the prioritization and the driving and dependence power of CS adoption factors.
Utilization of Radical Prostatectomy Versus Radiation Therapy for Gleason Grade Group 5 Prostate Cancer Before and After USPSTF Grade D Recommendation Against Prostate‐Specific Antigen Screening in 2012
Authors: McGinnis H. Scott , Corriher Taylor , Janopaul‐Naylor James , Goyal Subir , Liu Yuan , Wang Zelin , Patel Sagar A. 
Published: February 2025

ABSTRACTObjectivesThe 2012 United States Preventive Services Task Force (USPSTF) Grade D recommendation against prostate‐specific antigen (PSA) screening has resulted in a shift to higher‐stage prostate cancer (PC) at diagnosis. We evaluate the utilization of radical prostatectomy (RP) versus radiation therapy (RT) in the US for Gleason grade group 5 (GG5) prostate cancer before and after 2012.MethodsWe identified 34,011 men with localized GG5 PC undergoing primary therapy with (1) RP or (2) RT + androgen deprivation therapy (ADT) between 2004 and 2017 from the National Cancer Database. The chi‐square test was used to compare the relative use of RP and RT before versus after 2012. Annual use of RP versus RT from 2004 to 2017 was compared using Cochran‐Armitage test for trend. We modeled the effect of treatment year on the use of RP using multivariable logistic regression.ResultsAcross all centers, the use of RP increased from 31% to 41% (p for trend < 0.001). 2012 was associated with significant inflection for increase in RP use in all centers. There was an increased odds of receiving RP after 2012 (adjusted OR 1.34, 95% CI 1.28–1.40, p < 0.001).ConclusionsUtilization of RP for GG5 PC has significantly increased in the United States over the past decade. It remains unknown if outcomes may be compromised in this group of high‐risk men, many of whom require post‐prostatectomy RT and/or ADT. Prospective comparison of RP versus RT + ADT for GG5 PC are needed to determine optimal treatment for these patients.
Challenges and Clinical Relevance in Diagnosing Metastatic Cells From Non‐Hematopoietic Malignancies in Bone Marrow Aspirates
Authors: Kaspi Elise , Grosdidier Charlotte , Berda‐Haddad Yaël , Arpin Maud , Cointe Sylvie , Fritz Shirley , Bonifay Amandine , Koubi Marie , Jiguet‐Jiglaire Carine , Roll Patrice , Frankel Diane 
Published: February 2025

ABSTRACTIntroductionThe causes of cytopenias are numerous, and the bone marrow aspirate helps to identify them. In rare cases, these cytopenias are due to bone marrow metastases from solid cancers. The techniques used in hematology laboratories are limited in characterizing these cells. Interaction with the cytopathology laboratory becomes critical for characterizing tumor cells and completing a comprehensive diagnosis from the bone marrow aspirate.MethodsThis article describes a series of 38 bone marrow aspirates from 36 patients with bicytopenias who underwent bone marrow aspiration and for whom the hematologists sent the sample to the cytopathology laboratory to complete the diagnosis by immunocytochemistry and FISH if necessary.ResultsThe mean age of patients is 66 years, and the sex ratio is 2.8. Metastases were found in 11 cases of lung carcinoma, 4 cases of prostate carcinoma, 2 cases of breast carcinoma, 1 case of kidney carcinoma, 1 case of glioblastoma, 1 case of Ewing's sarcoma, and 1 case of melanoma. Among them, bone marrow aspiration was the only method to establish the initial diagnosis for seven patients. In six cases, immunocytochemistry confirmed the presence of carcinoma cells but could not identify their origin. In seven cases, tumor cells were insufficient to be characterized by immunocytochemistry.ConclusionCollaboration between laboratories is essential for the management of bone marrow aspirates containing non‐hematopoietic metastases. Bone marrow aspiration may be sufficient to diagnose solid tumors, enabling faster initiation of treatment for patients already at an advanced stage of their disease.
Sex Differences in Patients Presenting With ST‐Segment Elevation Myocardial Infarction and Nonobstructive Coronary Arteries
Authors: Yildiz Mehmet , Pico Madison , Henry Timothy D. , Bergstedt Seth , Stanberry Larissa , Chambers Jenny , Shah Ananya , Volpenhein Lucas , Lantz Rebekah , Garberich Ross F. , Aguirre Frank V. , Garcia Santiago , Sharkey Scott W. , Quesada Odayme 
Published: February 2025

ABSTRACTBackgroundSex differences in ST‐segment elevation myocardial infarction (STEMI) due to obstructive coronary artery disease (CAD) are well‐established, but limited research exists on sex differences in STEMI patients with nonobstructive coronary arteries (MINOCA) and MINOCA mimickers.MethodsWe analyzed 8560 consecutive STEMI patients, enrolled in the Midwest STEMI Consortium from 2003 to 2020. Patients with non‐obstructive CAD were classified into MINOCA (defined as < 50% coronary artery stenosis and confirmed or suspected coronary artery plaque disruption, epicardial coronary spasm, or coronary embolism/thrombosis) and MINOCA mimickers (takotsubo cardiomyopathy, myocarditis, or non‐ischemic cardiomyopathy). The primary outcome was 5‐year all‐cause mortality.ResultsOf the 8560 patients, 409 (4.8%) had non‐obstructive CAD, including 120 (1.4%) MINOCA and 289 (3.4%) MINOCA mimickers. Females were more likely to have MINOCA and MINOCA mimickers (49.2% and 56.4%, respectively). There were no significant sex differences in in‐hospital or 5‐year mortality in MINOCA, but females with MINOCA mimickers had higher unadjusted 5‐year mortality (HR 2.90, 95% CI 1.53−5.53). After adjusting for age and comorbidities, the long‐term mortality risk was similar between sexes (adjusted HR 1.16, 95% CI: 0.61−2.24). Females with obstructive CAD had higher 5‐year mortality in unadjusted models (HR 1.66, 95% CI 1.48, 1.86), but the difference was not significant after adjustment (adjusted HR 1.1, 95% CI: 0.98−1.24).ConclusionsOur findings highlight important sex‐based differences in the prevalence, treatment, and long‐term outcomes of STEMI patients with MINOCA, MINOCA mimickers, and obstructive CAD. Despite clinical disparities, mortality risks were similar across sexes after adjusting for comorbidities.
Post Cesarean Section Peritonitis: A Case Report of Ogilvie's Syndrome
Authors: Pirouz Mahdi Saberi , Tayebi Ali , Sheibani Fatemeh , Olamaeian Faranak 
Published: February 2025

ABSTRACTAcute colonic pseudo‐obstruction (ACPO) is characterized by colon dilation without a mechanical obstruction. This report describes a 39‐year‐old pregnant woman who developed ACPO following a cesarean section. Right hemicolectomy, distal ileoctomy, and enterorraphy, with subsequent ileostomy and colostomy mucus fistula placement were done. Early consideration of the disease and its diagnosis is crucial for initiating treatment instantly to maximize the benefits of non‐invasive medications and minimize the need for surgical procedures and potentially life‐threatening complications following a cesarean section.
Highly‐Efficient Reusable [Silica@Iminophosphine‐FeII] Hybrids for Hydrogen Production via Formic Acid and Formaldehyde Dehydrogenation
Authors: Gravvani Konstantina , Solakidou Maria , Louloudi Maria 
Published: February 2025

AbstractThe use of hybrids, developed by grafting homogeneous catalysts onto supporting materials, has already demonstrated significant potential in various catalytic processes. These systems combine the advantages of homogeneous catalysts, such as high activity and selectivity, with those of solid supports, including enhanced recyclability. Catalytic hydrogen (H2) production via dehydrogenation of C1 organic molecules targeting its use in fuel cells is a contemporary scientific issue directly connected with climate crisis. Here, Iminophospine hybrid [SiO2@benzNP] and its reduced analogue [SiO2@benzNHP] were synthesized, covalently grafted on colloidal SiO2, fully characterized (FT‐IR, RAMAN, TGA, ssNMR, BET), and used for in‐situ synthesis of [SiO2@benzNP‐FeII] and [SiO2@benzNHP‐FeII] catalytic complexes for H2 production from formic acid (HCOOH) and formaldehyde (HCHO), at 80 °C. In HCOOH, both heterogenized catalysts exhibit high selectivity, producing H2 and CO2 in a 1 : 1 ratio, without CO contamination, making them ideal for fuel cell applications. [SiO₂@benzNHP‐FeII] catalyst demonstrated superior performance in both substates. In HCOOH dehydrogenation, over 82,000 turnover number (TONs) were achieved and retained its efficiency for over five cycles, without any further metal addition. In HCHO dehydrogenation, it showed excellent efficiency as well, achieving 1.3 L of pure H2 with TONs exceeding 7,000, in 3 consecutive uses. Advanced spectroscopic analysis confirmed the stability and structural integrity of the catalysts, linking the Schiff base reduction and N−H groups to enhanced activity, durability and reusability. This study demonstrates the potential of hybrid materials with non‐noble metals for cost‐effective and sustainable H2 production, paving the way for scalable renewable energy solutions.
Microkinetic Modelling of Electrochemical Oxygen Evolution Reaction on Ir(111)@N‐Graphene Surface
Authors: Priyadarsini Adyasa , Mallik Bhabani S. 
Published: February 2025

AbstractWe have explored the thermodynamics and microkinetic aspects of oxygen evolution catalysis on low loading of Ir(111) on nitrogen‐doped graphene at constant potential. The electronic modification induced by N‐doping is the reason for the reduced overpotential of OER. The N‐induced defect in the charge density is observed with increasing charge‐depleted region around the Ir atoms. The lattice contraction shifts the d‐band center away from the Fermi level, which increases the barrier for OH* and O* formation on Ir(111) supported on NGr (Ir(111)@NGr). Thus, highly endothermic O* formation reduces the OOH* formation, which is the potential determining step. For comparison, all electronic and binding energy calculations were also performed against Ir NP supported on Gr (Ir(111)@Gr). The stepwise potential‐dependent activation barrier (
) was obtained using the charge extrapolation method. The third step remains the RDS in all ranges of water oxidation potentials. The potential dependent
is further applied to the Eyring rate equation to obtain the current density (
) and correlation between
and pH dependence, i. e., OH− concentration. The microkinetic
progression leads to a Tafel slope value of 30 mV dec−1 at pH=14.0, requiring
.
Investigating Fine‐Scale Breeding Habitat Use by Amphibians in a Continuous Wetland Using Environmental DNA
Authors: Guenat Julie Morgane , Gander Antoine , Fumagalli Luca , Lavanchy Guillaume 
Published: February 2025

ABSTRACTDesigning effective conservation plans to protect species from extinction requires a comprehensive understanding of their ecology. Conventional methods used to investigate habitat use are time‐consuming, and the detectability of cryptic species is often insufficient. Environmental DNA (eDNA)‐based approaches provide a complementary tool to traditional monitoring methods for ecosystem monitoring and assessment. Nevertheless, to our knowledge, such methods have rarely been applied to investigate habitat use at a fine scale in a continuous wetland environment. Here, we used an eDNA metabarcoding approach to characterize the breeding habitat use of local amphibian species in a wet meadow expanse along the southern shore of Lake Neuchâtel, Switzerland. We retrieved DNA from six out of the seven species expected to be present. We tested the influence of six abiotic environmental variables on overall species assemblages and individual species occurrences. We showed that the main factor structuring species assemblages was water temperature and that the distribution of three amphibian species was associated with several environmental variables. Our results indicate that the eDNA detection approaches are promising tools to study species' ecology at a small scale in continuous wetland habitats.
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models” by Bonas et al.
Authors: Otto Philipp 
Published: February 2025

ABSTRACTMotivated by empirical case studies and discussions of Bonas et al. (2024), this discussion paper critically examines challenges in the predictability of environmental processes, focusing on three key spheres: (a) predictability and interpretability, (b) predictability in dynamic environments, and (c) predictability into unknown spaces. These spheres highlight the responsibilities within environmetrics to ensure that predictive models, particularly advanced machine learning and deep learning methods, are applied thoughtfully. First, we discuss the trade‐off between interpretability and predictive complexity, contrasting the transparency of traditional statistical models with the “black‐box” nature of machine learning but also highlighting their enormous potential for exploiting new data sources and types. Second, we address real‐time adaptability, where models must handle concept drift and should, therefore, be continuously monitored. Finally, we consider the challenges of extrapolating predictions into unknown/nontrained areas, underscoring the risks of model overreach. This paper aims to contribute to the discussion in the field, emphasizing the critical role environmetricians play in advancing responsible, interpretable, and scientifically sound predictive practices.
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models
Authors: Finazzi Francesco , Rodeschini Jacopo , Tedesco Lorenzo 
Published: February 2025

ABSTRACTBuilding on the insights from Bonas et al. (2024), we explore the relationship between statistical and machine learning models in the analysis of environmental time series. We specifically address the unique challenges of environmental time series data, including the need to consider the multivariate approach and account for spatial dependence. Emphasizing the importance of various types of statistical inference in environmental studies—not limited to forecasting—we propose that viewing statistical and machine learning approaches as complementary rather than alternative methods can unlock innovative modeling strategies that enhance both predictive accuracy and interpretive power. To illustrate these concepts, we present a case study that highlights the key points raised in the discussion.