bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anatomic versus non‐anatomic liver resection for hepatocellular carcinoma—A European multicentre cohort study in cirrhotic and non‐cirrhotic patients
Authors: Zeindler Jasmin , Hess Gabriel Fridolin , von Heesen Maximilian , Aegerter Noa , Reber Cornelia , Schmitt Andreas Michael , Muenst Simone , Bolli Martin , Soysal Savas Deniz , Kollmar Otto 
Published: March 2024

AbstractBackgroundThe incidence of hepatocellular carcinoma (HCC) is increasing in the western world over the past decades. As liver resection (LR) represents one of the most efficient treatment options, advantages of anatomic (ALR) versus non‐anatomic liver resection (NALR) show a lack of consistent evidence. Therefore, the aim of this study was to investigate complications and survival rates after both resection types.MethodsThis is a multicentre cohort study using retrospectively and prospectively collected data. We included all patients undergoing LR for HCC between 2009 and 2020 from three specialised centres in Switzerland and Germany. Complication and survival rates after ALR versus NALR were analysed using uni‐ and multivariate Cox regression models.ResultsTwo hundred and ninety‐eight patients were included. Median follow‐up time was 52.76 months. 164/298 patients (55%) underwent ALR. Significantly more patients with cirrhosis received NALR (n = 94/134; p < 0.001). Complications according to the Clavien Dindo classification were significantly more frequent in the NALR group (p < 0.001). Liver failure occurred in 13% after ALR versus 8% after NALR (p < 0.215). Uni‐ and multivariate cox regression models showed no significant differences between the groups for recurrence free survival (RFS) and overall survival (OS). Furthermore, cirrhosis had no significant impact on OS and RFS.ConclusionNo significant differences on RFS and OS rates could be observed. Post‐operative complications were significantly less frequent in the ALR group while liver specific complications were comparable between both groups. Subgroup analysis showed no significant influence of cirrhosis on the post‐operative outcome of these patients.
Facile and Novel Synthetic Approach, Molecular Docking, Molecular Dynamics, and Drug‐Likeness Evaluation of 9‐Substituted Acridine Derivatives as Dual Anticancer and Antimicrobial Agents
Authors: Abouelenein Mohamed G. , Mohamed Mahmoud Basseem I. , Elsenety Mohamed M. , El‐Rashedy Ahmed A. , Ghalib Samirah H. , Mohamed Fatima Abdelgalil E. , El‐Ebiary Nora M. A. , Ageeli Abeer A. 
Published: March 2024

AbstractIn the present study, numerous acridine derivatives A1–A20 were synthesized via aromatic nucleophilic substitution (SNAr) reaction of 9‐chloroacridine with carbonyl hydrazides, amines, or phenolic derivatives depending upon facile, novel, and eco‐friendly approaches (Microwave and ultrasonication assisted synthesis). The structures of the new compounds were elucidated using spectroscopic methods. The title products were assessed for their antimicrobial, antioxidant, and antiproliferative activities using numerous assays. Promisingly, the investigated compounds mainstream revealed promising antibacterial and anticancer activities. Thereafter, the investigated compounds’ expected mode of action was debated by using an array of in silico studies. Compounds A2 and A3 were the most promising antimicrobial agents, while compounds A2, A5, and A7 revealed the most cytotoxic activities. Accordingly, RMSD, RMSF, Rg, and SASA analyses of compounds A2 and A3 were performed, and MMPBSA was calculated. Lastly, the ADMET (absorption, distribution, metabolism, excretion, and toxicity) analyses of the novel acridine derivatives were investigated. The tested compounds’ existing screening results afford an inspiring basis leading to developing new compelling antimicrobial and anticancer agents based on the acridine scaffold.
Regulation and mechanism of organic selenium on quorum sensing, biofilm, and antioxidant effects of Lactobacillus paracasei
Authors: Lou Zaixiang , Dong Jiale , Tao Hongwei , Tan Yeexuan , Wang Hongxin 
Published: March 2024

AbstractDifferent organic compounds can have varying degrees of impact on the activity of Lactobacillus paracasei. The study focused on the impact and action mechanism of different organic selenium products on the bioactivity of two strains of L. paracasei. The growth, antioxidant activity, extracellular polysaccharide secretion, quorum sensing (QS), and biofilm formation of the strains before and after the addition of organic selenium crude products and three organic selenium standard were evaluated. The results showed that the addition of crude organic selenium promoted the various activities of the strain.
l‐selenocysteine had the strongest regulatory effect, with maximum GIM1.80 biofilm formation when it reached a critical concentration of 0.4 μg/mL;
l‐selenomethionine resulted in the highest activity of the signal molecule Auto inducer‐2 of GDMCC1.155, when it reached a critical concentration of 0.4 μg/mL. The results of scanning electron microscopy demonstrated that the addition of organic selenium effectively improved the morphological structure of the two bacterial cells. Molecular docking revealed that the mechanism by which organic selenium regulates QS in Lactobacillus was achieved by binding two crucial receptor proteins (histidine protein kinase HKP and periplasmic binding protein LuxP) from specific sites. Furthermore, organic selenium products have a beneficial regulatory effect on the biological activity of L. paracasei. Overall, these findings provide a new alternative (organic selenium) for regulating the viability and beneficial activity of L. paracasei.
Classification of colorectal primer carcinoma from normal colon with mid‐infrared spectra
Authors: Borkovits B. , Kontsek E. , Pesti A. , Gordon P. , Gergely S. , Csabai I. , Kiss A. , Pollner P. 
Published: March 2024

AbstractIn this project, we used formalin‐fixed paraffin‐embedded (FFPE) tissue samples to measure thousands of spectra per tissue core with Fourier transform mid‐infrared spectroscopy using an FT‐IR imaging system. These cores varied between normal colon (NC) and colorectal primer carcinoma (CRC) tissues. We created a database to manage all the multivariate data obtained from the measurements. Then, we applied classifier algorithms to identify the tissue based on its yielded spectra. For classification, we used the random forest, a support vector machine, XGBoost, and linear discriminant analysis methods, as well as three deep neural networks. We compared two data manipulation techniques using these models and then applied filtering. In the end, we compared model performances via the sum of ranking differences (SRD).
Fine‐tuning electronic structure of N‐doped graphitic carbon‐supported Co‐ and Fe‐incorporated Mo2C to achieve ultrahigh electrochemical water oxidation activity
Authors: Sher Shah Md. Selim Arif , Jung Hyeonjung , Paidi Vinod K. , Lee Kug‐Seung , Han Jeong Woo , Park Jong Hyeok 
Published: March 2024

AbstractMo2C is an excellent electrocatalyst for hydrogen evolution reaction (HER). However, Mo2C is a poor electrocatalyst for oxygen evolution reaction (OER). Herein, two different elements, namely Co and Fe, are incorporated in Mo2C that, therefore, has a finely tuned electronic structure, which is not achievable by incorporation of any one of the metals. Consequently, the resulting electrocatalyst Co0.8Fe0.2–Mo2C‐80 displayed excellent OER catalytic performance, which is evidenced by a low overpotential of 214.0 (and 246.5) mV to attain a current density of 10 (and 50) mA cm−2, an ultralow Tafel slope of 38.4 mV dec−1, and long‐term stability in alkaline medium. Theoretical data demonstrates that Co0.8Fe0.2–Mo2C‐80 requires the lowest overpotential (1.00 V) for OER and Co centers to be the active sites. The ultrahigh catalytic performance of the electrocatalyst is attributed to the excellent intrinsic catalytic activity due to high Brunauer–Emmett–Teller specific surface area, large electrochemically active surface area, small Tafel slope, and low charge‐transfer resistance.
The combination of high‐frequency QRS and ST‐segment alterations during exercise stress tests enhanced the diagnostic efficacy for coronary artery disease
Authors: Liu Long , Du Xinyue , Wei Xue , Dong Wei , Lu Hong , Jiang Guishen , Deng Guolan 
Published: March 2024

AbstractBackgroundHigh‐frequency QRS (HF‐QRS) manifests as a novel adjunct electrocardiographic marker with potential utility in coronary artery disease (CAD) detection.HypothesisWe hypothesize that HF‐QRS analysis may be superior to conventional ST‐segment analysis in detecting CAD, and the combination of these two analyses in the exercise stress test may enhance the diagnostic efficacy for CAD.MethodsThe study incorporated a sample of 157 patients (mean age 62  9 years) referred for nonemergent angiography. Before angiography, patients underwent exercise stress testing utilizing an upright bicycle. High‐resolution electrocardiogram (ECG) data were collected during the exercise test, facilitating both HF‐QRS and conventional ST‐segment analyses. The diagnostic efficacy of HF‐QRS and ST‐segment analysis were compared, utilizing angiographic outcomes as the gold standard. The study design integrated HF‐QRS analysis and ST‐segment analysis via sequential and concurrent testing protocols.ResultsIn terms of CAD detection, HF‐QRS analysis displayed superior sensitivity compared to conventional ST‐segment analysis (63% vs. 37%, p = .002). The serial test significantly increased specificity from 79% to 97% (p = .002) compared to ST‐deviation analysis alone. It showed a markedly low sensitivity of 26%. The parallel test significantly increased sensitivity from 37% to 77% (p < .001), while retaining a moderate level of specificity of 51%. The quantity of ECG leads exhibiting a positive HF‐QRS response demonstrated a correlation with the severity of CAD (p < .001).ConclusionsHF‐QRS analysis exhibited superior sensitivity in detecting angiographically confirmed CAD relative to conventional ST‐segment analysis. Moreover, the combination of HF‐QRS and ST‐segment alterations during exercise stress test enhanced the diagnostic efficacy for CAD.
Safety, Tolerability, and Pharmacokinetics of Single‐ and Multiple‐Ascending Doses of Sunobinop in Healthy Participants
Authors: Cipriano Alessandra , Kapil Ram P. , Zhou Mingyan , Shet Manjunath S. , Whiteside Garth T. , Willsie Sandra K. , Harris Stephen C. 
Published: March 2024

AbstractSunobinop is an investigational, potent, selective partial agonist at the nociceptin/orphanin FQ peptide receptor in vitro. Three phase 1 studies were conducted to evaluate the safety, tolerability, and pharmacokinetics (PK) of escalating single‐ and multiple‐dose administration of sunobinop in healthy participants. Study 1 was a randomized, double‐blind, placebo‐controlled, single‐ascending dose study. Study 2 was a randomized, double‐blind, placebo‐controlled, multiple‐ascending dose study. Study 3 was a randomized, open‐label, single‐dose, 4‐way crossover study of oral and sublingual sunobinop comparing morning (AM) and bedtime (PM) administration. Seventy participants were included. Systemic exposure (peak plasma concentration [Cmax], area under the plasma concentration‐time curve from time 0 to the time of last quantifiable concentration [AUC0‐t], and area under the plasma concentration–time curve from time 0 extrapolated to infinity [AUCinf]) of sunobinop was characterized by dose proportionality from 0.6 to 2 mg and increased less than proportionally from 3 to 30 mg. The PKs of sunobinop were similar, regardless of AM or PM administration, for both the oral and sublingual formulations. The majority of absorbed sunobinop was excreted unchanged in the urine within 8 hours of dosing, thereby showing rapid elimination with no appreciable accumulation following 14 consecutive days of once‐daily dosing and suggesting exclusive renal elimination. Most treatment‐emergent adverse events (TEAEs) were mild in severity; 1 severe TEAE occurred and all TEAEs resolved by the end of the studies. Sunobinop was generally well‐tolerated and safe across the range of doses evaluated and presents a clinical profile suitable for continued development.
Advances in Hierarchical Inorganic Nanostructures for Efficient Solar Energy Harvesting Systems
Authors: Manjunatha C. , Rastogi Chandresh Kumar , Manmadha Rao B. , Girish Kumar S. , Varun S. , Raitani Karthik , Maurya Gyanprakash , Karthik B. , Swathi C. , Sadrzadeh Mohtada , Khosla Ajit 
Published: March 2024

AbstractThe urgent need to address the global energy and environmental crisis necessitates the development of efficient solar‐power harvesting systems. Among the promising candidates, hierarchical inorganic nanostructures stand out due to their exceptional attributes, including a high specific surface area, abundant active sites, and tunable optoelectronic properties. In this comprehensive review, we delve into the fundamental principles underlying various solar energy harvesting technologies, including dye‐sensitized solar cells (DSSCs), photocatalytic, photoelectrocatalytic (water splitting), and photothermal (water purification) systems, providing a foundational understanding of their operation. Thereafter, the discussion is focused on recent advancements in the synthesis, design, and development of hierarchical nanostructures composed of diverse inorganic material combinations, tailored for each of these solar energy harvesting systems. We meticulously elaborate on the distinct synthesis methods and conditions employed to fine‐tune the morphological features of these hierarchical nanostructures. Furthermore, this review offers profound insights into critical aspects such as electron transfer mechanisms, band gap engineering, the creation of hetero‐hybrid structures to optimize interface chemistry through diverse synthesis approaches, and precise adjustments of structural features. Beyond elucidating the scientific fundamentals, this review explores the large‐scale applications of the aforementioned solar harvesting systems. Additionally, it addresses the existing challenges and outlines the prospects for achieving heightened solar‐energy conversion efficiency.
Exploring anomalous nanofluidic transport at the interfaces
Authors: Zhang Shengping , Song Ruiyang , Zeng Haiou , Wu Ningran , Duan Hongwei , Wang Luda 
Published: March 2024

AbstractTransport of ions and water is essential for diverse physiological activities and industrial applications. As the dimension approaches nano and even angstrom scale, ions and water exhibit anomalous behaviors that differ significantly from the bulk. One of the key reasons for these distinctive behaviors is the prominent influence of surface effects and related transport properties occurring at the interface under such (sub)nanoconfinement. Therefore, exploring nanofluidic transport at the interfaces could not only contribute to unraveling the intriguing ion and water transport behaviors but also facilitate the development of nanofluidic devices with tunable mass transport for practical applications. In this review, we focus on three crucial interfaces governing ion and water transport, namely liquid–gas interface, liquid–solid interface, and liquid–liquid interface, with emphasis on elucidating their intricate interfacial structures and critical roles for nanofluidic transport phenomena. Additionally, potential applications associated with liquid–gas, liquid–solid, and liquid–liquid interfaces are also discussed. Finally, we present a perspective on the pivotal roles of interfaces on nanofluidics, as well as challenges in this advancing field.
Molecular Complexes for Catalytic Ammonia Oxidation to Dinitrogen and the Cleavage of N−H Bonds
Authors: Stephens David N. , Mock Michael T. 
Published: March 2024

AbstractThe molecular complexes described herein use main‐group elements or transition metals to control the stoichiometric cleavage of N−H bonds of ammonia (NH3) and/or catalyze chemical and electrochemical NH3 oxidation to dinitrogen (N2). We highlight the phenomenon of coordination‐induced bond weakening and a variety of N−H bond cleavage mechanisms of NH3 including H atom abstraction, inter‐ and intra‐molecular deprotonation reactions, oxidative addition, and σ‐bond metathesis that have been demonstrated with molecular systems. We provide an overview of the molecular complexes reported for the rapidly developing field of NH3 oxidation catalysis to form N2. These systems exhibit several diverse structure types and innovative ligands to support transition metals capable of activating NH3 and mediating a challenging chemical transformation that requires breaking strong N−H bonds and forming an N−N bond en route to N2 formation.
A SUNCT‐like headache associated with lateral pontine infarction – case series and systematic review
Authors: Jansem Priabprat , Watanapa Nattapat , Thanprasertsuk Sekh , Rattanawong Wanakorn , Pongpitakmetha Thanakit , Anukoolwittaya Prakit 
Published: March 2024

AbstractBackground and AimShort‐lasting unilateral neuralgiform headache attacks with conjunctival injection and tearing (SUNCT) and autonomic symptoms (SUNA) are trigeminal autonomic cephalalgias (TACs). The study explores the potential association between SUNCT/SUNA‐like headaches and lateral pontine infarctions.MethodsCase series and systematic review.ResultsWe present three cases diagnosed with SUNCT following lateral pontine infarction on magnetic resonance imaging (MRI), along with a review of these cases and 10 others from the literature.Discussion and ConclusionThis review suggests a connection between SUNCT/SUNA‐like symptoms and lateral pontine infarctions. The section also delves into the anatomy and pathophysiology of these symptoms, proposing a mechanism involving neural pathway remodelling in the lateral brainstem.
Development of an easy‐to‐set‐up multiple heart‐cutting achiral–chiral LC–LC method for the analysis of branched‐chain amino acids in commercial tablets
Authors: Varfaj Ina , Abualzulof Ghaid W. A. , Moretti Simone , Migni Anna , Uda Irene , Goracci Laura , Ianni Federica , Carotti Andrea , Sardella Roccaldo 
Published: March 2024

AbstractIn this paper, the development and application of a multiple heart‐cutting achiral–chiral LC–LC method (mLC–LC) for the analysis of dansylated (Dns) branched‐chain amino acids in commercial tablets are described. In the first dimension, a Waters Xbridge RP C18 achiral column was used under gradient conditions with buffered aqueous solution and acetonitrile. The elution order Dns‐valine (Dns‐Val) < Dns‐isoleucine (Dns‐Ile) < Dns‐leucine (Dns‐Leu) turned out with full resolution between adjacent peaks: 7.25 and 1.50 for the Val/Ile and the Ile/Leu pairs, respectively. A “research” validation study was performed, revealing high accuracy (Recovery%) and precision (RSD%) using two external set solutions, respectively, in the range 93.7%–104.1% and 0.4%–3.2%. The C18 column was connected via a two‐position six‐port switching valve to the quinidine‐based Chiralpak quinidine‐anion‐exchange chiral column. A water/acetonitrile, 30/70 (v/v) with 50 mM ammonium acetate (apparent pH of 5.5) eluent allowed getting the three enantiomers’ pairs resolved: RS equal to 4.3 for Dns‐Val and Dns‐Ile, and 1.7 for Dns‐Leu. The application of the mLC‐LC method confirmed that the content of Val, Ile, and Leu in the tablets was compliant with that labeled by the producer. Only l‐enantiomers were found in the food supplement, as confirmed by LC–MS/MS analysis.
Fast parameter estimation of generalized extreme value distribution using neural networks
Authors: Rai Sweta , Hoffman Alexis , Lahiri Soumendra , Nychka Douglas W. , Sain Stephan R. , Bandyopadhyay Soutir 
Published: March 2024

AbstractThe heavy‐tailed behavior of the generalized extreme‐value distribution makes it a popular choice for modeling extreme events such as floods, droughts, heatwaves, wildfires and so forth. However, estimating the distribution's parameters using conventional maximum likelihood methods can be computationally intensive, even for moderate‐sized datasets. To overcome this limitation, we propose a computationally efficient, likelihood‐free estimation method utilizing a neural network. Through an extensive simulation study, we demonstrate that the proposed neural network‐based method provides generalized extreme value distribution parameter estimates with comparable accuracy to the conventional maximum likelihood method but with a significant computational speedup. To account for estimation uncertainty, we utilize parametric bootstrapping, which is inherent in the trained network. Finally, we apply this method to 1000‐year annual maximum temperature data from the Community Climate System Model version 3 across North America for three atmospheric concentrations: 289 ppm (pre‐industrial), 700 ppm (future conditions), and 1400 ppm , and compare the results with those obtained using the maximum likelihood approach.
Fabrication and evaluation of polyurethane supported form‐stable PCMs
Authors: Tanwar Surya , Kaur Raminder 
Published: March 2024

AbstractThe current research is oriented towards the development and assessment of the properties of the form‐stable phase change materials (PCMs), comprising of the thermoset polymer matrix (polyurethane, PU) enclosing capric acid (CA) as an active thermal energy storage (TES) component. The Fourier Transform Infrared Spectroscopy (FTIR) and Field‐Emission Scanning Electron Microscopy (FE‐SEM) have been used to characterize the chemical nature and morphological details of the developed PU‐based PCMs (PUPCMs). TES attributes and thermal stability of the resultant PCMs are evaluated by thermo‐analytical techniques such as Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA). A thermal reliability test has been conducted to determine the phase change efficiency of the prepared PCMs. PUPCMs have been found to be suitable for TES applications, such as passive space heating or cooling building applications.
Comprehensive risk assessment of a renewables‐based stand‐alone electric vehicle charging station with multiple energy storage technologies
Authors: Al Wahedi Abdulla , Bicer Yusuf 
Published: March 2024

AbstractThis study presents the application of a comprehensive risk assessment and risk management framework on a grid‐independent and renewable energy‐based electric vehicle charging station with multiple energy storage techniques including hydrogen and ammonia. The design comprises complex subsystems such as concentrated photovoltaic thermal, wind turbine, biomass standby generator, hydrogen storage, fuel cell, Ammonia storage and fuel cell, Lithium‐ion battery storage, Salt‐hydrate thermal storage, lithium‐bromide absorption cooling, and fast charging units. Systematic risk‐based approaches compromising multiple phases and qualitative and quantitative risk assessment techniques are applied to identify the causes and consequences of potentially critical events associated with the incorporated subsystems and components. The results show that out of 15 identified technical, economic, environmental, and health and safety risks, three health and safety risks were found unacceptable with risk values above 14. In contrast, three technical, three environmental, two health and safety, and one economic risks were found undesirable with risk values between 8 and 12. Appropriate preventive and protective measures are applied to lessen the high‐risk levels to acceptable safe limits below 6. Proper safety barriers and distances are considered while recommending the associated subsystems and components' optimal physical site distribution plan.