bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fluorine‐Effect‐Enabled Photocatalytic 4‐Exo‐Trig Cyclization Cascade to Access Fluoroalkylated Cyclobutanes
Authors: Zhou Yulu , Wu Zhenzhen , Xu Jinming , Zhang Zuxiao , Zheng Hanliang , Zhu Gangguo 
Published: May 2024

AbstractCyclobutanes are popular structural units in bioactive compounds and versatile intermediates in synthetic chemistry, but their synthesis is challenging owing to high ring strain. In this study, a novel method for highly regio‐ and diastereoselective synthesis of fluoroalkylcyclobutanes bearing vicinal quaternary and tertiary stereocenters is realized by a photocatalytic 4‐exo‐trig cyclization cascade of thioalkynes or trifluoromethylalkenes. Density functional theory calculations reveal that a unique fluorine effect, arising from hyperconjugative π→σ*C‐F interactions, accounts for the regio‐reversed radical addition at the sterically hindered alkene carbon, which facilitates an unprecedented 4‐exo‐trig ring closure. This chemistry enables the direct and controllable construction of medicinally valuable quaternary‐carbon‐containing cyclobutanes from readily available raw materials, nicely complementing the existing methods.
Leveraging DNA‐Encoded Cell‐Mimics for Environment‐Adaptive Transmembrane Channel Release‐Induced Cell Death
Authors: Li Chunying , Wang Dan , Gao Haiyan , Fu Ting , He Lei , Han Da , Tan Weihong 
Published: May 2024

AbstractThe advancement of cell‐mimic materials, which can forge sophisticated physicochemical dialogues with living cells, has unlocked a realm of intriguing prospects within the fields of synthetic biology and biomedical engineering. Inspired by the evolutionarily acquired ability of T lymphocytes to release perforin and generate transmembrane channels on targeted cells for killing, herein we present a pioneering DNA‐encoded artificial T cell mimic model (ARTC) that accurately mimics T‐cell‐like behavior. ARTC responds to acidic conditions similar to those found in the tumor microenvironment and then selectively releases a G‐rich DNA strand (LG4) embedded with C12 lipid and cholesterol molecules. Once released, LG4 effectively integrates into the membranes of neighboring live cells, behaving as an artificial transmembrane channel that selectively transports K+ ions and disrupts cellular homeostasis, ultimately inducing apoptosis. We hope that the emergence of ARTC will usher in new perspectives for revolutionizing future disease treatment and catalyzing the development of advanced biomedical technologies.
Alpha‐ketoglutarate supplementation in long‐lived Drosophila melanogaster: Impact on lifespan and metabolic responses
Authors: Demianchuk Oleh , Lylyk Maria , Balatskiy Vitalii , Gospodaryov Dmytro , Bayliak Maria 
Published: May 2024

AbstractStudies on antiaging remedies in insect models sometimes show discrepancies in results. These discrepancies could be explained by different responses of short‐ and long‐lived strains on the antiaging remedies. The purpose of the study was to test whether life‐prolonging effects of alpha‐ketoglutarate (AKG), observed in nematodes and fruit flies, would be reproduced in long‐lived Drosophila melanogaster flies. Lifespan was assayed in flies kept in demographic cages. Fecundity, proportion of flies capable of negative geotaxis, starvation resistance, time of heat coma onset, levels of triacyglycerols, body glucose, glycogen, activities of glutamate dehydrogenase, catalase, glutathione‐S‐transferase, hexokinase, phosphofructokinase, pyruvate kinase, lactate, and glutamate dehydrogenases were assessed. Dietary AKG did not affect fly lifespan on the diet with 5% yeast and 5% sucrose (5Y:5S) and on the diet with 9% yeast and 1% sucrose (9Y:1S), but increased lifespan on the low‐protein diet (1Y:9S). Twenty‐five‐day‐old female flies fed a 5Y:5S diet with 10 mM AKG for 3 weeks, did not differ from the control group (without AKG) in climbing activity, resistance to heat stress, and starvation. The levels of glucose and glycogen were unaffected but the levels of triacylglycerols were lower in AKG‐fed female flies. No differences in activities of glycolytic enzymes, NADPH‐producing enzymes, glutamate dehydrogenase, oxygen consumption, and levels of oxidative stress markers were observed between the control and AKG‐fed flies. However, AKG‐fed flies had lower activities of catalase and glutathione‐S‐transferase. These results suggest that potential antiaging remedies, such as AKG, may not extend lifespan in long‐living organisms despite influencing several metabolic parameters.
Expression and function of the vitellogenin receptor in the hypopharyngeal glands of the honey bee Apis mellifera (Hymenoptera: Apidae) workers
Authors: Dohanik Virginia Teles , Medeiros‐Santana Luanda , Santos Carolina Gonçalves , Santana Weyder Cristiano , Serrão José Eduardo 
Published: May 2024

AbstractThe vitellogenin receptor (VgR) is essential for the uptake and transport of the yolk precursor, vitellogenin (Vg). Vg is synthesized in the fat body, released in the hemolymph, and absorbed in the ovaries, via receptor‐mediated endocytosis. Besides its important role in the reproductive pathway, Vg occurs in nonreproductive worker honey bee, suggesting its participation in other pathways. The objective was to verify if the VgR occurs in the hypopharyngeal glands of Apis mellifera workers and how Vg is internalized by these cells. VgR occurrence in the hypopharyngeal glands was evaluated by qPCR analyses of VgR and immunohistochemistry in workers with different tasks. The VgR gene is expressed in the hypopharyngeal glands of workers with higher transcript levels in nurse honey bees. VgR is more expressed in 11‐day‐old workers from queenright colonies, compared to orphan ones. Nurse workers with developed hypopharyngeal glands present higher VgR transcripts than those with poorly developed glands. The immunohistochemistry results showed the co‐localization of Vg, VgR and clathrin (protein that plays a major role in the formation of coated vesicles in endocytosis) in the hypopharyngeal glands, suggesting receptor‐mediated endocytosis. The results demonstrate that VgR performs the transport of Vg to the hypopharyngeal glands, supporting the Ovary Ground Plan Hypothesis and contributing to the understanding of the role of this gland in the social context of honey bees.
The impact of the integration of digital platforms and active teaching strategies (Kahoot!) on the performance of Brazilian medical course students in the discipline of histology
Authors: Souza e Silva Renata , da Cunha Lima Freire Gustavo , Cerqueira Gilberto Santos 
Published: May 2024

AbstractTeaching human histology is part of understanding the tissues of the human body and, therefore, it is part of the training curriculum of all health courses. The increase in technologies and active teaching methodologies has a positive impact on student learning, as it reduces the challenges present in the subject. Therefore, this work aimed to compare the performance of students in the histology discipline, when compared to traditional teaching methodology and its association with game‐based learning and a basic histology teaching platform. Three classes of the medical course were selected between the years 2022 and 2023, each of which was separated into a group. One group did not have access to any platform, being called the Traditional Group (TG), a group that used Kahoot!, being called the Kahoot Group (KG), and a group that used the teaching platform, being called the Histoatlas Group (HG). Both KG and HG groups showed greater effectiveness in learning and improved performance, when compared to TG. These improvements in KG and HG were also highlighted as learning aids and easy to use. KG students performed better in the practical test when comparing groups. However, this difference was not observed in the students’ averages. However, students pointed out the relevance of trying to improve the traditional teaching methodology. Therefore, this study points out that, even though the traditional teaching methodology is efficient in the student's teaching and learning process, there is a need on the part of students to make the subject more dynamic.
Near‐Infrared Absorbing Aza‐BODIPY Dyes for Optoelectronic Applications
Authors: Pinjari Dilip , Patil Yuvraj , Misra Rajneesh 
Published: May 2024

AbstractOrganic dyes that absorb light in the visible to near‐infrared region have garnered significant interest, owing to their extensive utility in organic photovoltaics and various biomedical applications. Aza‐boron‐dipyrromethene (Aza‐BODIPY) dyes are a class of chromophores with impressive photophysical properties such as tunable absorption from the visible region towards near infrared (NIR) region, high molar absorptivity, and fluorescence quantum yield. In this review, we discuss the developments in the aza‐BODIPYs, related to their synthetic routes, photophysical properties and their applications. Their design strategies, modifications in chemical structures, mode/position of attachment, and their impact on photo‐physical properties are reviewed. The potential applications of aza‐BODIPY derivatives such as organic solar cells, photodynamic therapy, boron‐neutron capture therapy, fluorescence sensors, photo‐redox catalysis, photoacoustic probes and optoelectronic devices are explained.
Sequential monitoring for conditional quantiles of general conditional heteroscedastic time series models
Authors: Lee Sangyeol , Kim Chang Kyeom 
Published: May 2024

AbstractIn this study, we introduce an online monitoring procedure designed to sequentially detect change points in the conditional quantiles of location‐scale time series models. This statistical process control issue holds great significance in risk management, particularly in measuring the value‐at‐risk or expected shortfall of financial assets. Our approach employs suitable detectors, including cumulative sum statistics. We then define a stopping rule and determine control limits based on asymptotic theorems to signal an anomaly. To further evaluate the proposed methods, we conduct a comprehensive empirical study analyzing various aspects of our monitoring procedures when applied to location‐scale time series models. Additionally, we perform a real data analysis using the daily returns of the Korea Composite Stock Price Index (KOSPI) and EuroStoxx 50 indices to affirm the adequacy of the proposed monitoring procedures in real‐world applications.
Unveiling the Degradation Mechanism of Sodium Ion Batteries Based on Na4Fe3(PO4)2P2O7 Cathode and Hard Carbon Anode Suggests Anode Particle Size Reduction for Cycling Stability
Authors: Lochab Shubham , Bharathraj Sagar , Mayya K. Subramanya , Barpanda Prabeer , Adiga Shashishekar P. 
Published: May 2024

AbstractTo improve the cycle life of sodium‐ion batteries, it is essential to understand the microscopic processes that lead to cell degradation. The mismatched response time of anode and cathode has profound but poorly understood impact on cycle life. In this work, we combine electrochemical and materials characterization along with electrochemical modeling to investigate the root cause of degradation in sodium‐ion full cells made from Na4Fe3(PO4)2P2O7 (NFPP) cathodes and hard carbon (HC) anode. Our results pinpoint to the slow diffusion of Na in HC as the main cause of diffusional polarization that leads to cathode experiencing high local potentials and ultimately to active material loss over cycling. We demonstrate that by reducing the anode particle size, the diffusional timescales in anode can be matched with that of cathode to improve both extractable capacity as well as cycle life. These observations shed light on non‐intuitive and intricate ways in which cathode and anode can interact with each other to cause degradation in Na‐ion batteries and how microscopic understanding of these cause and effects can help design long lasting batteries.
Novel progressive deep learning algorithm for uncovering multiple single nucleotide polymorphism interactions to predict paclitaxel clearance in patients with nonsmall cell lung cancer
Authors: Chen Wei , Zhou Haiyan , Zhang Mingyu , Shi Yafei , Li Taifeng , Qian Di , Yang Jun , Yu Feng , Li Guohui 
Published: May 2024

AbstractBackgroundThe rate at which the anticancer drug paclitaxel is cleared from the body markedly impacts its dosage and chemotherapy effectiveness. Importantly, paclitaxel clearance varies among individuals, primarily because of genetic polymorphisms. This metabolic variability arises from a nonlinear process that is influenced by multiple single nucleotide polymorphisms (SNPs). Conventional bioinformatics methods struggle to accurately analyze this complex process and, currently, there is no established efficient algorithm for investigating SNP interactions.MethodsWe developed a novel machine‐learning approach called GEP‐CSIs data mining algorithm. This algorithm, an advanced version of GEP, uses linear algebra computations to handle discrete variables. The GEP‐CSI algorithm calculates a fitness function score based on paclitaxel clearance data and genetic polymorphisms in patients with nonsmall cell lung cancer. The data were divided into a primary set and a validation set for the analysis.ResultsWe identified and validated 1184 three‐SNP combinations that had the highest fitness function values. Notably, SERPINA1, ATF3 and EGF were found to indirectly influence paclitaxel clearance by coordinating the activity of genes previously reported to be significant in paclitaxel clearance. Particularly intriguing was the discovery of a combination of three SNPs in genes FLT1, EGF and MUC16. These SNPs‐related proteins were confirmed to interact with each other in the protein–protein interaction network, which formed the basis for further exploration of their functional roles and mechanisms.ConclusionWe successfully developed an effective deep‐learning algorithm tailored for the nuanced mining of SNP interactions, leveraging data on paclitaxel clearance and individual genetic polymorphisms.
Consumers' adoption intention to Metaverse applications: An exploration through fsQCA approach
Authors: Yuan Jingbo , Shah Sayed Kifayat , Li Zhiqi 
Published: May 2024

AbstractMetaverse is an emergent technology that facilitates consumer interaction and participation in various activities within an integrated virtual environment. Considering the Metaverse's swift growth, comprehension of the perspectives and inclinations of its prospective users is critical. Considering configuration and complexity theories, this article examines the causal patterns of factors and fragmented perspectives concerning using Metaverse applications (M‐apps). It does so by examining how functional (ease of use, privacy), social (interactivity, presence), and personality (locus of control, openness to experience) factors combine as causal configurations to describe consumer adoption (MTA). Hence, fuzzy‐set qualitative comparative analysis is employed to empirically examine the proposed configurational model by analyzing a sample of 372 Chinese consumers of different M‐Apps. The notable MTA was determined to be explained under four distinct solutions with varying configurations of function, social, and personality in various combinations. The findings of this paper's complexity analysis constitute a scholarly and practical contribution to consumer acceptance of M‐apps, allowing for the customization of Metaverse functionality to meet every consumer's needs.
Grifolin Induces Cell Death of Human Lung Cancer A549 Cell Line via Inhibiting KRAS‐Mediated Multiple Signaling Pathways
Authors: Zhao Xue‐Chun , Ma Ren‐Fen , Liu Hu , Shan Peipei , Bao Jie , Zhang Hua 
Published: May 2024

AbstractIn the current work, grifolin was obtained from the twigs and leaves of Daphne genkwa for the first time and displayed significant growth inhibition against human lung carcinoma A549 cells. Subsequent in vitro antitumor evaluation revealed that grifolin could induce remarkable cell apoptosis and G0/G1 phase arrest, as well as block cell migration and invasion. In addition, grifolin also disrupted cellular energy metabolism by inducing reactive oxygen species, reducing adenosine triphosphate and mitochondrial membrane potential, and damaging DNA synthesis. Further RNA‐seq analysis demonstrated that treatment of grifolin on A549 cells led to gene enrichment in MAPK, PI3K/Akt and NF‐κB signaling pathways, all of which were inhibited by grifolin according to immunoblotting experiments. Further mechanistical studies disclosed that the expression of a key upstream protein KRAS was also blocked, and the cell death triggered by grifolin could be rescued by a RAS activator ML‐099. Moreover, pretreatment of ML‐099 on A549 cells could reverse the grifolin‐induced downregulation of key proteins in the three aforementioned pathways. These findings indicate that grifolin could induce cell death in A549 cell line by inhibiting KRAS‐mediated multiple signaling pathways.
Thermally resistant nuclease in Serratia marcescens hinders PCR reactions and degrades PCR products
Authors: Cai Jinpei , Zhang Yunyi , Jiang Xueer , Hu Yaohua , Chen Wei 
Published: May 2024

AbstractPolymerase chain reaction (PCR) is an important tool for exogenous gene acquisition and recombinants identification. There exist two problems when using Serratia marcescens as a template for PCR amplification: amplified PCR products are rapidly degraded, and the results of PCR amplification are unstable. The aim of the present work was to elucidate the reasons for this. By mixing PCR products amplified from Escherichia coli DH5α with S. marcescens supernatant or pellet, we found that the DNA‐degrading substance in S. marcescens is thermally resistant and present both intracellularly and extracellularly. We then determined that it is protein, and most likely S. marcescens nuclease, that degrades PCR products since the addition of SDS and EDTA can effectively inhibit or block the degradation of PCR products. By knocking out the S. marcescens nuclease encoding gene, nucA, we confirmed that the nuclease is responsible for the degradation of PCR products and the instability of PCR amplification. This work is the first to show that the S. marcescens nuclease is temporarily and partially inhibited by high temperatures during PCR and recovers rapidly at room temperature after PCR.
Selective Hydrogenation of 2‐Methyl‐3‐butyn‐2‐ol Over Supported Cu Nanocatalysts
Authors: Totarella Giorgio , de Jongh Petra E. 
Published: May 2024

AbstractNanosized copper is an interesting alternative to noble metal‐based catalysts in gas phase selective hydrogenation, but little is known about its performance in liquid phase catalysis. We investigated the activity and selectivity of 2 and 7 nm Cu on SiO2 catalysts for the three‐phase partial hydrogenation of 2‐methyl‐3‐butyn‐2‐ol, a highly relevant reaction for fine chemical synthesis. Next to the desired 2‐methyl‐3‐buten‐2‐ol, also 2‐methyl‐2‐butanol was formed as a result of over‐hydrogenation. The 7 nm Cu nanoparticles were intrinsically 2.5 times more active than 2 nm Cu (in terms of turnover frequency), and they were also more selective. At 180 °C the selectivity was only 15 % at 50 % conversion, but lowering the reaction temperature to 160 and 140 °C led to 80 % and even ~100 % selectivity (at 50 % conversion). The unselective step was around two times faster than the selective one, hence the high selectivity is due the stronger adsorption of the reactant than of the desired product, which limits over‐hydrogenation.
Hydrogen Absorption in Palladium‐Based Nanocrystals for Electrocatalysis Investigation
Authors: Chen Ying , Hou Yucheng , Govor Gennady , Demidenko Olga , Li Yujing 
Published: May 2024

AbstractHydrogen absorption in transition metals has received enormous attention for applications such as the hydrogen storage, sensing and corrosion. In particular, the Pd‐H system is a simple and classical metal hydride system that serves as a platform for a deeper understanding of hydrogen behavior. In the past few years, Pd‐H has been reported as electrocatalyst in multiple reactions, whereas the impact of hydrogen absorption/desorption in electrocatalytic applications remains unclear. Therefore, in this concept, factors influencing the hydrogen adsorption/desorption of palladium in the gas phase, such as facet engineering, ligand effects, and alloying effects, are summarized. Subsequently, in the context of electrocatalysis, factors affecting electrochemical hydrogen adsorption/desorption are outlined. Particularly, prospects for the further investigation of electrochemical hydrogen adsorption/desorption in catalysis are discussed.
Screening Methods for Cervical Cancer
Authors: Li Jingyan , Adobo Sidonie Darina , Shi Hui , Judicael Kabore Arthur Wendinso , Lin Ning , Gao Li 
Published: May 2024

AbstractCervical cancer seriously affects the health of women worldwide. Persistent infection of high‐risk HPV (Human Papilloma Virus) can lead to cervical cancer. There is a great need for timely and efficient screening methods for cervical cancer. The current screening methods for cervical cancer are mainly based on cervical cytology and HPV testing. Cervical cytology is made of Pap smear and liquid‐based cytology, while HPV testing is based on immunological and nucleic acid level detection methods. This review introduces cervical cancer screening methods based on cytology and human papillomavirus testing in detail. The advantages and limitations of the screening methods are also summarized and compared.
Disparities in cancer incidence by sexual orientation
Authors: Huang Aimee K. , Hoatson Tabor , Chakraborty Payal , McKetta Sarah , Soled Kodiak R. S. , Reynolds Colleen A. , Boehmer Ulrike , Miranda Alexis R. , Streed Carl G. , Maingi Shail , Haneuse Sebastien , Young Jessica G. , Kang Jae H. , Austin S. Bryn , Eliassen A. Heather , Charlton Brittany M. 
Published: May 2024

AbstractIntroductionCancer risk factors are more common among sexual minority populations (e.g., lesbian, bisexual) than their heterosexual peers, yet little is known about cancer incidence across sexual orientation groups.MethodsThe 1989–2017 data from the Nurses’ Health Study II, a longitudinal cohort of female nurses across the United States, were analyzed (N = 101,543). Sexual orientation‐related cancer disparities were quantified by comparing any cancer incidence among four sexual minority groups based on self‐disclosure—(1) heterosexual with past same‐sex attractions/partners/identity; (2) mostly heterosexual; (3) bisexual; and (4) lesbian women—to completely heterosexual women using age‐adjusted incidence rate ratios (aIRR) calculated by the Mantel‐Haenszel method. Additionally, subanalyses at 21 cancer disease sites (e.g., breast, colon/rectum) were conducted.ResultsFor all‐cancer analyses, there were no statistically significant differences in cancer incidence at the 5% type I error cutoff among sexual minority groups when compared to completely heterosexual women; the aIRR was 1.17 (95% CI,0.99–1.38) among lesbian women and 0.80 (0.58–1.10) among bisexual women. For the site‐specific analyses, incidences at multiple sites were significantly higher among lesbian women compared to completely heterosexual women: thyroid cancer (aIRR, 1.87 [1.03–3.41]), basal cell carcinoma (aIRR, 1.85 [1.09–3.14]), and non‐Hodgkin lymphoma (aIRR, 2.13 [1.10–4.12]).ConclusionLesbian women may be disproportionately burdened by cancer relative to their heterosexual peers. Sexual minority populations must be explicitly included in cancer prevention efforts. Comprehensive and standardized sexual orientation data must be systematically collected so nuanced sexual orientation‐related cancer disparities can be accurately assessed for both common and rare cancers.