bluuebunny/crossref_metadata_2025_split huggingface dataset:
Precise Single‐Atom Modification of Hybrid Lead Chlorides for Electron Donor‐Acceptor Effect and Enhanced Photocatalytic Aerobic Oxidation
Authors: Li Yukong , Wang Ziyi , Jiang Yilin , Wu Chao , Sun Chen , Zhang Qingran , Zhang Chi , Fei Honghan 
Published: October 2024

AbstractHybrid lead halides show significant potential in photocatalysis due to their excellent photophysical properties, but the atomically precise modification of their organic component to achieve synergistic interactions with the lead halide units remains a great challenge. Herein, for the first time, we have employed the crystal engineering strategy to construct a class of single‐atom‐substituted hybrid lead halides with electron donor‐acceptor (D‐A) effect. The lead halide frameworks consist of 1D linear [PbCl]+ chains as inorganic building units and benzoxadiazole/benzothiadiazole/ benzoselenadiazole‐funtionalized dicarboxylates as linkers. The covalent bonding between the organic ligands with electron−withdrawing groups and the electron‐rich lead halide units not only facilitate the charge separation, but also enhance structural robustness that is critical for photocatalysis. The D‐A structured lead halides serve as highly efficient heterogeneous photooxidation catalysts, including aerobic oxidation of C(sp3)−H bonds, oxidative coupling of primary amines, oxidation of phenylboronic acids and selective oxidation of sulfides that are demonstrated in 30 examples. Importantly, these photooxidation reactions are able to be driven by natural sunlight and ambient air to afford quantitative yields. Moreover, our lead halide photocatalysts are successful to fix into a photocatalytic flow system, which enables the flow‐type synthesis of high value‐added photooxidation products on a gram scale.
Rational Design of an Activatable Near‐Infrared Fluorogenic Platform for In Vivo Orthotopic Tumor Imaging and Resection
Authors: Wu Xiaofeng , Deng Yu , Wang Rui , Kim Heejeong , Kim Gyoungmi , Xu Ying , Hong Kyung Tae , Lee Jun‐Seok , Hu Jing‐Jing , Liang Gaolin , Yoon Juyoung 
Published: October 2024

AbstractRational and effective design of a universal near‐infrared (NIR) light‐absorbed platform employed to prepare diverse activatable NIR fluorogenic probes for in vivo imaging and the imaging‐guided tumor resection remains less exploited but highly meaningful. Herein, mandelic acid with a core structure of 4‐hydroxylbenzyl alcohol to link recognition unit, a fluorophore and a quencher was employed to prepare activatable probes. We exemplified ester as carboxylesterase (CE)‐recognized unit, ferrocene as quencher and phenothiazinium as NIR fluorophore to afford fluorogenic probes termed NBS‐Fe‐CE and NBS‐C‐Fe‐CE. These probes enabled the conversion toward CE with significant fluorescence increases and successfully discriminate CE activity in cells. NIR light enhances the tumor penetration and enable imaging‐guided orthotopic tumor resection. This specific case demonstrated that this platform can be effectively used to construct diverse NIR probes for imaging analytes in biological systems.
A DNA Polymerase Variant Senses the Epigenetic Marker 5‐Methylcytosine by Increased Misincorporation
Authors: Henkel Melanie , Fillbrunn Alexander , Marchand Virginie , Raghunathan Govindan , Berthold Michael R. , Motorin Yuri , Marx Andreas 
Published: October 2024

AbstractDysregulation of DNA methylation is associated with human disease, particularly cancer, and the assessment of aberrant methylation patterns holds great promise for clinical diagnostics. However, DNA polymerases do not effectively discriminate between processing 5‐methylcytosine (5 mC) and unmethylated cytosine, resulting in the silencing of methylation information during amplification or sequencing. As a result, current detection methods require multi‐step DNA conversion treatments or careful analysis of sequencing data to decipher individual 5 mC bases. To overcome these challenges, we propose a novel DNA polymerase‐mediated 5 mC detection approach. Here, we describe the engineering of a thermostable DNA polymerase variant derived from Thermus aquaticus with altered fidelity towards 5 mC. Using a screening‐based evolutionary approach, we have identified a DNA polymerase that exhibits increased misincorporation towards 5 mC during DNA synthesis. This DNA polymerase generates mutation signatures at methylated CpG sites, allowing direct detection of 5 mC by reading an increased error rate after sequencing without prior treatment of the sample DNA.
Self‐microemulsifying drug delivery system‐based gastroretentive in situ raft of pazopanib with enhanced solubility and bioavailability
Authors: Sachdeva Vridhi , Mehra Anshula , Singh Gurdeep , Kumar Akshay , Kumar Pranesh , Singh Gurpreet , Bedi Neena 
Published: October 2024

AbstractPazopanib hydrochloride (PZH) is a Biopharmaceutics Classification System class II drug that faces challenges at the formulation forefront including low aqueous solubility (0.043 mg/mL) and poor oral bioavailability (14–39%). The present investigation aimed to develop a self‐microemulsifying drug delivery system (SMEDDS) of PZH using a blend of Capryol® 90, Labrasol®, and propylene glycol to improve its solubility. Furthermore, a sustained‐release SMEDDS‐based gastroretentive floating system was developed and optimized using the Central Composite Design approach of DoE. The optimized SMEDDS‐based in situ gelling raft, R‐SM‐PZH, exhibited minimal floating lag time (3.09 ± 0.8 s), optimal viscosity (1229.4 ± 20.9 cP) and density (0.327 ± 0.15 g/mL) as compared to other formulations under study. Additionally, R‐SM‐PZH was evaluated for its in vitro dissolution in FaSSGF and FeSSGF, pharmacokinetic profile, and MTT assay (against NCI‐H460 lung cancer cells) compared to pure PZH. A 12 h sustained release, three‐fold augmentation in dissolution rate and bioavailability, and 15‐fold enhancement in cytotoxicity were observed in comparison to pure PZH. Thus, the SMEDDS‐based in situ gelling raft presents a promising approach to advancing the developability potential of PZH.
Measuring autism with the ADOS‐2 using a bifactor model
Authors: Albert Phebe , Kaldes Gal , Tully Erin , Romski MaryAnn , Morris Robin D. , Sevcik Rose A. , Dilly Laura 
Published: October 2024

AbstractThe measurement of autism characteristics can be challenging due to variability of social impairments and restricted and repetitive behaviors or interests (RRBs). Psychometrically strong measures such as the Autism Diagnostic Observation Schedule, Second Edition (ADOS‐2) can improve our capacity for thorough autism assessment. The conceptualization of the ADOS‐2 has been shaped by research exploring the structure of its items, which evaluate autism traits associated with social affect and RRBs. Continuously refining our understanding of these items and their relations to other characteristics, such as cognition, is crucial for more accurate autism assessment and diagnosis. This study used data from a sample of 188 school‐age children with mostly average cognitive functioning referred for clinical autism evaluations to (1) test the dimensionality of the ADOS‐2, Module 3 (appropriate for children with relatively higher verbal ability), across two sets of items (i.e., algorithm only, algorithm with three non‐algorithm RRB items) using confirmatory factor analysis (CFA) and (2) examine the relations of cognition to the dimensions tested in the ADOS‐2. A bifactor model, featuring a general autism trait and two subfactors (RRB and Social Affect), provided superior fit for algorithm‐only and algorithm with three non‐algorithm items. Cognitive functioning was not significantly related to the general or specific factors in the model with only algorithm items. While the findings support the validity of the ADOS‐2, it may not fully capture RRBs among children referred for autism. This study enhances our understanding of the ADOS‐2, highlighting the utility of a bifactor model for characterizing its dimensionality, measuring autism traits with minimal cognitive influence, and identifying its limitations in assessing RRBs.
Umgang mit geotechnischen Besonderheiten im Fachmodell Baugrund – ein Erfahrungsbericht
Authors: Clostermann Dennis , Schwabe Kevin , Vollberg Felix 
Published: October 2024

AbstractDie Dr. Spang GmbH hat in den vergangenen Jahren zahlreiche Fachmodelle Baugrund erarbeitet und entsprechende Erfahrungen in der Baugrundmodellierung gesammelt. Hierbei hat sich unternehmensintern ein standardmäßiges Vorgehen zur Erstellung der Fachmodelle entwickelt. Softwaretechnisch liefert die automatische Vermaschung (trianguliertes 3D‐Flächennetz der Schichtgrenzen) für viele Standardfälle bereits brauchbare Ergebnisse. In der Geotechnik existieren allerdings nicht nur Standardfälle. Geotechnische Besonderheiten (bspw. inhomogene Schichtungen) haben einen erhöhten händischen Modellierungsaufwand zur Folge. Dieser Beitrag soll den Umgang mit diesen Besonderheiten in der Modellierung beleuchten, die zusätzlichen Modellierungsschritte darstellen und softwaretechnische Grenzen aufzeigen, die bei der automatischen Vermaschung (Interpolation bzw. Triangulation) in diesen Sonderfällen auftreten.
Novel Anthracene‐Appended Calix[4]triazacrown‐5 as an Effective Fluorescence Probe for Co2+ and Hazardous Cr2O72− Ions
Authors: Sayin Serkan 
Published: October 2024

ABSTRACTA new calix[4]triazacrown‐5–derived fluorescence chemosensor (AntUr‐AzClx) at cone conformation was synthesized to afford an effective fluorescent probe, which enables an enhancement in the fluorescence intensity specifically in the presence of Co2+ metal ions as well as a turnoff response for hazardous dichromate anions. 1H‐NMR, 13C‐NMR, ESI‐MS, and elemental analysis techniques were used to characterize the structure of the anthracene‐appended calix[4]triazacrown‐5 (AntUr‐AzClx). The metal ion–binding ability of AntUr‐AzClx was evaluated against Co2+, Ba2+, Ni2+, Pb2+, and Zn2+ ions. On the basis of various metal ion recognition phenomena, AntUr‐AzClx exhibited outstanding selectivity for only the Co2+ ion among other metal ions. Also, the calix[4]triazacrown‐5–derived fluorescence chemosensor showed high sensitivity towards the Co2+ ion with a very low limit of detection (LOD) 0.142 μmol L−1. In addition, anion binding abilities of AntUr‐AzClx against various anions such Cr2O72−, HCO3−, CO32−, NO3−, SO32−, SO42−, N3−, F−, and I− demonstrated that AntUr‐AzClx enables selective and highly sensitive detection of the Cr2O72− anion with an excellent LOD of 4.182 nmol L−1 in DMF/PBS (1/1, v/v; pH: 7.05). Furthermore, the calix[4]triazacrown‐5–derived fluorescence chemosensor displayed a significant sensing behavior to detect the presence of dichromate anions even in real samples.
Resilience Development Among Adult Patients With De Novo Acute Leukemia: A Qualitative Study
Authors: Li Danyang , Li Jing , He Xinyu , Zhang Meiyun 
Published: October 2024

ABSTRACTObjectiveThis study aimed to explore the development process of psychological resilience among adult patients with de novo acute leukemia.MethodsThis study utilized a descriptive qualitative approach, employing a purposeful sampling method to select a sample of 15 newly diagnosed patients with acute leukemia (AL) who underwent their initial induction chemotherapy treatment at the Hematology Department of the First Affiliated Hospital of Zhejiang University School of Medicine, China. Semi‐structured interviews were conducted with the selected patients. Content analysis methodology was used to analyze, summarize, and extract themes from the collected data.ResultsThree categories emerged—namely, (1) negative period, (2) adaptive response phase, and (3) growth transformation period. The negative period occurs during the initial diagnosis and throughout the treatment cycle. However, influenced by both internal and external protective factors, including personal characteristics and social support, individuals enhance their psychological resilience through emotional regulation, mental adjustment, and adaptive strategies vis‐à‐vis healthcare decision‐making and disease management. Overall, psychological resilience development follows an upward spiral trajectory.ConclusionsThis study identified that negative emotions and symptom clusters impede the development of patients' psychological resilience. Moreover, it revealed a substantial need for disease‐related information among patients. Therefore, healthcare professionals should prioritize addressing the negative emotions of patients, early identification of protective factors, dynamic monitoring of symptom clusters, effective management, and provision of psychological counseling and interventions. Simultaneously, providing personalized, professional, and systematic disease‐related information is vital for promoting psychological resilience development.
The Structure Characterization of Polysaccharides from Codonopsis Pilosula and the Structure‐Activity Relationship with Immune‐Regulation on THP‐1 Cells
Authors: Fu Junjie , Chang Cong , Ren Jinyang , Cheng Jingjing , Gao Ziwei , Meng Yan 
Published: October 2024

AbstractIn recent years, polysaccharides from Codonopsis pilosula (CPs) have received increasing attention for their excellent behaviors in immune‐regulation. However, the relationship between the structure and immunomodulatory activity has rarely been reported. In this work, four fractions purified from crude CPs (CPW, CPS0.2, CPS0.5, CPS1) by chromatographic column separation were explored with both structure and immunomodulatory effects by THP‐1 cells. The results showed that the monosaccharide composition, chain conformation, molecular weight (Mw) and aggregated state of CPs were different. At the same time, the immunomodulatory effects of CPs were also varied depend on structure differences, as indicated by the released cytokines of TNF‐α and IL‐1β by LPS‐induced THP‐1 cells. The results showed that the monosaccharide combination differences of polysaccharides might lead to anti‐inflammatory or pro‐inflammatory activity. Moreover, the higher percentage of glucose, the relatively large particle size, as well as the extended chain conformation of CPs might be the key factors attributed to better immune‐enhancing effects. This study aims to provide a theoretical basis for establishing the structure‐activity relationship of CPs.
Endothelial Unfolded Protein Response‐Mediated Cytoskeletal Effects
Authors: Folahan Joy T. , Fakir Saikat , Barabutis Nektarios 
Published: October 2024

ABSTRACTThe endothelial semipermeable monolayers ensure tissue homeostasis, are subjected to a plethora of stimuli, and their function depends on cytoskeletal integrity and remodeling. The permeability of those membranes can fluctuate to maintain organ homeostasis. In cases of severe injury, inflammation or disease, barrier hyperpermeability can cause irreparable damage of endothelium‐dependent issues, and eventually death. Elucidation of the signaling regulating cytoskeletal structure and barrier integrity promotes the development of targeted pharmacotherapies towards disorders related to the impaired endothelium (e.g., acute respiratory distress syndrome, sepsis). Recent reports investigate the role of unfolded protein response in barrier function. Herein we review the cytoskeletal components, the unfolded protein response function; and their interrelations on health and disorder. Moreover, we emphasize on unfolded protein response modulators, since they ameliorate illness related to endothelial leak.
Chromium oxide nanoparticles in‐situ immobilized onto nitrogen‐doped carbon plates with boosted catalytic activity toward nitrogen reduction reaction
Authors: Wang Jing , Tang Chenbo , Liufu Hui , Zeng Xia , Huang Ziyi , Ma Lin , Li Hanjia , Chen Yajie , Sun Jinyi 
Published: October 2024

AbstractA chromium oxide‐based nanocomposite (Cr2O3@NC) is designed and prepared via a simple pyrolysis route with Cr‐based metal organic framework (MOF) as a template. The research results indicate that Cr2O3 nanoparticles have an average size of ~70 nm and are in situ formed and imbedded onto the Cr‐based MOF‐derived 2D N‐doped carbon microplates. When employed as an inexpensive electrocatalyst for nitrogen reduction reaction (NRR) to synthesize ammonia, Cr2O3@NC demonstrates an improved and stable catalytic activity in comparison with bare Cr2O3. A large ammonia production rate of 29.42 μg mg−1cat h−1 under a lower potential of −0.4 V versus reversible hydrogen electrode (RHE) can be acquired with a Faradic efficiency of 9.89% in sodium sulphate solution. Additionally, a satisfactory selectivity can also be achieved without hydrazine byproduct. The greatly promoted catalytic activity of Cr2O3@NC is regarded to be concerned with its desirable structures such as 2D planar topological structure with expanded active surface area, abundant catalytic sites, and effective combination with conductive carbon.
Discovering and Ranking Urban Social Clusters Out of Streaming Social Media Datasets
Authors: Celik Mete , Dokuz Ahmet Sakir , Ecemis Alper , Erdogmus Emre 
Published: October 2024

ABSTRACTUrban social media mining is the process of discovering urban patterns from spatio‐temporal social media datasets. Urban social clusters are the clusters formed by the social media posts of users living in cities at a certain time and place. Discovering and identifying urban social clusters is of great importance for urban and regional planning, target audience identification, a better understanding of city dynamics and so forth. Discovering and ranking urban social clusters out of streaming social media datasets require efficient filtering approaches and mining algorithms. In the literature, there are several studies performed that address the discovery of the importance of urban clusters. Most of these studies take into account the spatial expansions over time and the changes in the numbers of elements within clusters when identifying the significance of urban clusters. However, in contrast to these studies, we have also considered cluster temporal formation stability, spatial density variation, and the impact of meta‐information on urban social clusters. In this study, Temporal, Spatial, and Meta Important Urban Social Clusters Miner (TSMIUSC‐Miner) algorithm is proposed. In the proposed algorithm, urban social clusters are discovered, and their importance relative to each other are compared and ranked. The temporal, spatial and meta importance scores of the clusters are calculated and then, the clusters that satisfy predefined score thresholds are discovered. The performance of the proposed TSMIUSC‐Miner algorithm compared with that of a naive approach using real‐life streaming Twitter/X dataset. The results showed that the proposed TSMIUSC‐Miner algorithm outperforms the naive approach in terms of execution time.
Request Deadline Split and Interference‐Aware Request Migration in Edge Cloud
Authors: Wang Jie , Yu Huiqun , Fan Guisheng , Zhang Jiayin 
Published: October 2024

ABSTRACTEdge computing extends computing resources from the data center to the edge of the network to better handle latency‐sensitive tasks. However, with the rise of the Internet of Things, edge devices with limited processing capabilities face difficulties in executing requests with fluctuating request peaks. In order to meet the deadline constraints of latency‐sensitive tasks, a feasible solution is to offload some latency‐sensitive tasks to other nearby edge devices. This article studies the problem of request migration in edge computing systems and minimizes the request deadline violation rate based on actual online arrival patterns, performance interference phenomena, and deadline constraints. Since a request contains multiple services and request migration will lead to changes in server resource competition pressure, we split the problem into three sub‐problems, dividing the request deadline to determine the maximum response time of the service, determining the performance of the service under different resource pressures and the request migration strategies. To this end, we propose two deadline splitting methods, a performance interference model under multi‐resource pressure, and two heuristic request migration strategies. Since this article considers online edge scenarios, the number and type of requests are black boxes. We conduct simulation experiments and find that our method has only one‐third the number of request violations of other methods.
GEDI: An R Package for Integration of Transcriptomic Data from Multiple Platforms for Bioinformatics Applications
Authors: Stokholm Mathias N. , Rabaglino Maria B. , Kadarmideen Haja N. 
Published: October 2024

AbstractTranscriptomic data is often expensive and difficult to generate in large cohorts relative to genomic data; therefore, it is often important to integrate multiple transcriptomic datasets from both microarray‐ and next generation sequencing (NGS)‐based transcriptomic data across similar experiments or clinical trials to improve analytical power and discovery of novel transcripts and genes. However, transcriptomic data integration presents a few challenges including reannotation and batch effect removal. We developed the Gene Expression Data Integration (GEDI) R package to enable transcriptomic data integration by combining existing R packages. With just four functions, the GEDI R package makes constructing a transcriptomic data integration pipeline straightforward. Together, the functions overcome the complications in transcriptomic data integration by automatically reannotating the data and removing the batch effect. The removal of the batch effect is verified with principal component analysis and the data integration is verified using a logistic regression model with forward stepwise feature selection. To demonstrate the functionalities of the GEDI package, we integrated five bovine endometrial transcriptomic datasets from the NCBI Gene Expression Omnibus. These transcriptomic datasets were from multiple high‐throughput platforms, namely, array‐based Affymetrix and Agilent platforms, and NGS‐based Illumina paired‐end RNA‐seq platform. Furthermore, we compared the GEDI package to existing tools and found that GEDI is the only tool that provides a full transcriptomic data integration pipeline including verification of both batch effect removal and data integration for downstream genomic and bioinformatics applications. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: ReadGE, a function to import gene expression datasetsBasic Protocol 2: GEDI, a function to reannotate and merge gene expression datasetsBasic Protocol 3: BatchCorrection, a function to remove batch effects from gene expression dataBasic Protocol 4: VerifyGEDI, a function to confirm successful integration of gene expression data