bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of crucial extracellular genes as potential biomarkers in newly diagnosed Type 1 diabetes via integrated bioinformatics analysis
Authors: Gao Ming , Liu Qing , Zhang Lingyu , Tabak Fatema , Hua Yifei , Shao Wei , Li Yangyang , Qian Li , Liu Yu 
Published: January 2025

Purpose
In this study, we aimed to study the role of extracellular proteins as biomarkers associated with newly diagnosed Type 1 diabetes (NT1D) diagnosis and prognosis.

Patients and Methods
We retrieved and analyzed the GSE55098 microarray dataset from the Gene Expression Omnibus (GEO) database. Using R software, we screened out the extracellular protein-differentially expressed genes (EP-DEGs) through several protein-related databases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were applied to describe the role and function of these EP-DEGs. We used the STRING database to construct the interaction of proteins, Cytoscape software to visualize the protein-protein interaction (PPI) networks, and its plugin CytoHubba to identify the crucial genes between PPI networks. Finally, we used the comparative toxicogenomics database (CTD) to evaluate the connection between NT1D with the potential crucial genes and we validated our conclusions with another dataset (GSE33440) and some clinical samples.

Results
We identified 422 DEGs and 122 EP-DEGs from a dataset that includes (12) NT1D patients compared with (10) healthy people. Protein digestion and absorption, toll-like receptor signaling, and T cell receptor signaling were the most meaningful pathways defined by KEGG enrichment analyses. We recognized nine important extracellular genes: GZMB, CCL4, TNF, MMP9, CCL5, IFNG, CXCL1, GNLY, and LCN2. CTD analyses showed that LCN2, IFNG, and TNF had higher levels in NT1D and hypoglycemia; while TNF, IFNG and MMP9 increased in hyperglycemia. Further verification showed that LCN2, MMP9, TNF and IFNG were elevated in NT1D patients.

Conclusion
The nine identified key extracellular genes, particularly LCN2, IFNG, TNF, and MMP9, may be potential diagnostic biomarkers for NT1D. Our findings provide new insights into the molecular mechanisms and novel therapeutic targets of NT1D.
Efficacy of root canal treatment for autotransplanted third molars: a 6-Year cohort study of 167 teeth in southern China
Authors: Han Bangfeng , Liu Liu , Jiang Zhishen , Ye Li , Cao Yubin , Pan Jian 
Published: January 2025

Background
Autogenous tooth transplantation offers significant advantages and promising success rates for replacing non-retainable teeth. This study aimed to investigate the prognostic factors, especially the impact of root canal treatment (RCT), of autotransplanted teeth in an up-to-6-year follow-up cohort of 167 teeth in Southern China.

Methods
We enrolled adult patients from the Southern Medical University-Shenzhen Stomatology Hospital between 2017 and 2023. Patients underwent autogenous tooth transplantation to replace non-retainable molars with upper or lower third molars with Moorrees tooth development stage ≥5. All surgical procedures were performed by an experienced surgeon. The included patients were followed up for 6~72 (median 28.5) months. Success, failure, and survival rate and prognostic factors were evaluated using univariable Kaplan-Meier, multivariable generalized linear regression, and multivariable COX regression analyses.

Results
The overall success rate is 97.6% with four unsuccessful cases. Herein, two of them were removed, leading to an overall survival rate of 98.8%. A total of 159 cases (95%) received RCT in 3 months. Univariable log-rank analysis showed that RCT (RR 0.109, 95%CI 0.010 to 1.202, P = 0.028) and site relationship between donor and receipt sites (RR 3.359, 95% CI [1.210–9.329], P = 0.020) were two significant prognostic factors of autotransplanted teeth. Multivariable generalized linear regression revealed that RCT is the only significant factor protecting the success rate of autotransplanted teeth (HR 0.003, 95% CI [0.000–0.249], P = 0.010). However, in the Cox regression model, the effects of RCT (HR 0.009, 95% CI [0.000–2.514], P = 0.101) did not reach statistical significance. Other factors did not demonstrate a significant impact in this cohort. These results supported that autogenous tooth transplantation is a viable alternative to conventional implant treatment with strict indications. Our findings underscore the importance of RCT in transplanted teeth with closed or semi-closed apices. Multi-center observational studies with larger sample size and extended follow-up duration may be needed to validate the conclusion.
Reducing scan time in 177Lu planar scintigraphy using convolutional neural network: A Monte Carlo simulation study
Authors: Yang Ching‐Ching , Ko Kuan‐Yin , Lin Pei‐Yao 
Published: June 2023

AbstractPurposeThe aim of this study was to reduce scan time in 177Lu planar scintigraphy through the use of convolutional neural network (CNN) to facilitate personalized dosimetry for 177Lu‐based peptide receptor radionuclide therapy.MethodsThe CNN model used in this work was based on DenseNet, and the training and testing datasets were generated from Monte Carlo simulation. The CNN input images (IMGinput) consisted of 177Lu planar scintigraphy that contained 10–90% of the total photon counts, while the corresponding full‐count images (IMG100%) were used as the CNN label images. Two‐sample t‐test was conducted to compare the difference in pixel intensities within region of interest between IMG100% and CNN output images (IMGoutput).ResultsNo difference was found in IMGoutput for rods with diameters ranging from 13 to 33 mm in the Derenzo phantom with a target‐to‐background ratio of 20:1, while statistically significant differences were found in IMGoutput for the 10‐mm diameter rods when IMGinput containing 10% to 60% of the total photon counts were denoised. Statistically significant differences were found in IMGoutput for both right and left kidneys in the NCAT phantom when IMGinput containing 10% of the total photon counts were denoised. No statistically significant differences were found in IMGoutput for any other source organs in the NCAT phantom.ConclusionOur results showed that the proposed method can reduce scan time by up to 70% for objects larger than 13 mm, making it a useful tool for personalized dosimetry in 177Lu‐based peptide receptor radionuclide therapy in clinical practice.
Age categorization and stereotyping at work
Authors: Pecher Diane , van Mierlo Heleen , Romers C. M. , Feersma Hoekstra K. , Possel Naomi , Bouwmeester Samantha 
Published: June 2023

AbstractAge stereotyping at the workplace can lead to discrimination. We investigated stereotype influence on recall. In the who‐said‐what paradigm participants studied older and younger speakers making stereotypical and counterstereotypical statements about their work, followed by memory tests for the statements and speakers. Statements were more likely attributed to a speaker from the same age category than the other age category, replicating earlier findings. Stereotypicality had no effect on statement recognition but participants were more likely to guess a stereotypical speaker even though speakers made equal numbers of stereotypical and counterstereotypical statements (Experiments 1 and 3). When speakers made more counterstereotypical statements (Experiment 2) this bias was reduced but less so than the actual proportion of stereotypical statements warranted. Speaker judgments were also influenced by prior stereotypes. We conclude that participants used prior stereotypes to supplement recall from memory. Measures to reduce stereotypes should include procedures to improve memory accuracy.
Same crime, same time? Differences in visual maturity affect opinions of adolescent culpability
Authors: Koch Mary Kate , Burd Kayla A. , Mendle Jane 
Published: June 2023

AbstractEarly pubertal maturation is associated with earlier contact with the juvenile justice system. In two studies (Total N = 782), we examined whether youth presumed to have committed a crime and who appear physically older than their chronological age were held to different standards of legal responsibility while accounting for race and sex. Participants read a vignette detailing situations in which a crime was committed and decided whether to call the police (Study 1) or make sentencing recommendations (Study 2). Participants were more likely to call the police on youth who appeared more physically developed and on boys. Less visibly mature youth and girls were assigned behavioral explanations that deemphasized agency. White youth were sentenced to more hours of community service than Black youth. We discuss potential implications of these findings in real‐world contexts such as police decision‐making.
Adaptive neural boundary control for state constrained flexible manipulators
Authors: Zhang Xing‐Yu , Li Yuan‐Xin 
Published: June 2023

SummaryThis article discusses the adaptive neural tracking control issue for a flexible manipulator system with time‐varying full‐state constraints. First, the flexible manipulator system is modeled using partial differential equations with boundary conditions. Second, neural network techniques are used to deal with unknown nonlinear functions. Based on the backstepping technique, an adaptive neural boundary controller is developed that effectively suppresses the effects of input saturation. Moreover, the construction of the asymmetric time‐varying barrier Lyapunov function guarantees that the full‐state constraints of the system are met and that the closed‐loop system signals remain bounded. Finally, simulations are performed, and the results demonstrate the efficacy of the proposed approach.
Bioinspired Artificial Visual System Based on 2D WSe2 Synapse Array
Authors: Gong Yue , Xie Peng , Xing Xuechao , Lv Ziyu , Xie Tao , Zhu Shirui , Hsu Hsiao‐Hsuan , Zhou Ye , Han Su‐Ting 
Published: June 2023

AbstractMachine vision systems that capture images for visual inspection and recognition tasks must be able to perceive, memorize, and compute any color scene. To achieve this, most of the current visual systems use circuits and algorithms which may reduce efficiency and increase complexity. Herein, a 2D semiconductor tungsten diselenide (WSe2)‐based phototransistor that successfully demonstrates an artificial vision system integrating the processing capability of visual information sensing memory, is reported. Furthermore, based on a 6 × 6 fabricated retinal perception array, artificial visual information sensing memory and processing system are proposed to perform image recognition tasks, which can avoid the time delay and energy consumption caused by data conversion and movement. On the other hand, highly linear symmetric synaptic plasticity can be achieved based on the modulation of carrier types in WSe2 transistors with different thicknesses, facilitating the high level of training and inference accuracy for artificial neural networks. Last, through training and inference simulations, the feasibility of the hybrid synapses for optical neural networks (ONN) is demonstrated.
Nanoporous Membrane Electrodes with an Ordered Array of Hollow Giant Carbon Nanotubes
Authors: Liu Hongyu , Pan Zheng‐Ze , Aziz Alex , Tang Rui , Lv Wei , Nishihara Hirotomo 
Published: June 2023

AbstractThis study proposes a next‐generation model membrane electrode for fundamental electrochemical research of amorphous‐based porous carbon materials. This novel electrode is fabricated by the uniform carbon coating of anodic aluminum oxide formed on an Al substrate and free from a barrier layer. The conformally carbon‐coated layer forms vertically aligned giant carbon nanotubes, and their walls comprise low‐crystalline stacked graphene sheets. The diameter and the length of the nanopores can be tuned over a broad range of between 10 to 200 nm and 2 to 90 µm, respectively. Moreover, unlike composite electrodes made from other ordered nanoporous carbons, this model electrode exhibits an absence of inter‐particle spacing and hence no contact resistance between particles. Thus, this model electrode provides representative nanopores of low‐crystalline carbon materials. An atomic‐scale structural model of the low‐crystalline carbon walls is built with the aid of an in‐house temperature‐programmed desorption system to enable theoretical simulations to be performed. Using this model electrode, the electrical conductivity of low‐crystalline carbon walls and mass transportation in an electric double‐layer system are elucidated. This representative model electrode is expected to help clarify the complex electrochemical processes in porous carbon electrodes.
Seeded Synthesis of Hollow PdSn Intermetallic Nanomaterials for Highly Efficient Electrocatalytic Glycerol Oxidation
Authors: Huang Biao , Ge Yiyao , Zhang An , Zhu Shangqian , Chen Bo , Li Guanxing , Yun Qinbai , Huang Zhiqi , Shi Zhenyu , Zhou Xichen , Li Lujiang , Wang Xixi , Wang Gang , Guan Zhiqiang , Zhai Li , Luo Qinxin , Li Zijian , Lu Shiyao , Chen Ye , Lee Chun‐Sing , Han Yu , Shao Minhua , Zhang Hua 
Published: June 2023

AbstractIntermetallic nanomaterials have shown promising potential as high‐performance catalysts in various catalytic reactions due to their unconventional crystal phases with ordered atomic arrangements. However, controlled synthesis of intermetallic nanomaterials with tunable crystal phases and unique hollow morphologies remains a challenge. Here, a seeded method is developed to synthesize hollow PdSn intermetallic nanoparticles (NPs) with two different intermetallic phases, that is, orthorhombic Pd2Sn and monoclinic Pd3Sn2. Benefiting from the rational regulation of the crystal phase and morphology, the obtained hollow orthorhombic Pd2Sn NPs deliver excellent electrocatalytic performance toward glycerol oxidation reaction (GOR), outperforming solid orthorhombic Pd2Sn NPs, hollow monoclinic Pd3Sn2 NPs, and commercial Pd/C, which places it among the best reported Pd‐based GOR electrocatalysts. The reaction mechanism of GOR using the hollow orthorhombic Pd2Sn as the catalyst is investigated by operando infrared reflection absorption spectroscopy, which reveals that the hollow orthorhombic Pd2Sn catalyst cleaves the CC bond more easily compared to the commercial Pd/C. This work can pave an appealing route to the controlled synthesis of diverse novel intermetallic nanomaterials with hollow morphology for various promising applications.
Organic Sonodynamic Materials for Combination Cancer Immunotherapy
Authors: Zhang Chi , Pu Kanyi 
Published: June 2023

AbstractSonodynamic therapy (SDT) is a promising non‐invasive therapeutic modality to treat deep‐seated tumors owing to the good tissue penetration ability and spatiotemporal controllability of ultrasound (US); however, the low sonodynamic activity and potential side effects greatly limit its clinical translation. Cancer immunotherapy that leverages the immune system to fight against cancer has great potential to synergize with SDT for the treatment of cancer with high efficiency and safety. In this review, the convergence of SDT with cancer immunotherapy to exert their merits and break through the limitations of combination cancer sono‐immunotherapy are discussed. The focus is on the development and construction of organic materials with high sonodynamic activity and immunotherapeutic efficiency. These organic materials not only induce immunogenic cell death to improve tumor immunogenicity via SDT but also activate antitumor immunity via immuno‐oncology drug‐mediated immune pathway modulation. The combination of various immuno‐oncology drugs with organic sonosensitizers is categorized and discussed along with the prospects and challenges for clinical translation.
A Chemical‐Biological Relay Catalytic Method for the Synthesis of (E)‐2‐Cyanoacrylamides Based on the Catalysis of Amorphous Porphyrin‐MOFs and Nitrile Hydratase
Authors: Zuo Weiguo , Wang Guanqun , Yang Shunbin , E Dongxiao , Liu Lin , Li Hengyu , You Song , Jia Xian 
Published: June 2023

AbstractThe combination of the catalytic power of amorphous metal‐organic frameworks (aMOFs) and biocatalysis has greatly boosted the development of novel synthetic strategies due to its functional diversity and stereospecificity. 2‐Cyanoacrylamides are important building blocks for many biologically active molecules. Herein, we described a chemical‐biological relay catalytic method to access (E)‐2‐cyanoacrylamides based on the catalysis of amorphous porphyrin‐MOFs SPUZ‐1 and whole cells of Rhodococcus rhodochrous (nitrile hydratase). The approach was proved to be simple and efficient, and the highest conversion was up to 99%
Edge‐Sharing Octahedrally Coordinated NiFe Dual Active Sites on ZnFe2O4 for Photoelectrochemical Water Oxidation
Authors: Jiang Zhiyong , Zhu Xiaodi , Wang Zhiyu , Liu Wei , Yan Wensheng , Sivula Kevin , Bao Jun 
Published: June 2023

AbstractThe structural properties of octahedral sites (BOh) in spinel oxides (AB2O4) play vital roles in the electrochemical performance of oxygen‐related reactions. However, the precise manipulation of AB2O4 remains challenging due to the complexity of their crystal structure. Here, a simple and versatile molten‐salt‐mediated strategy is reported to introduce Ni2+ in Boh sites intentionally on the surface of zinc ferrite (ZnFe2O4, ZFO) to promote the active sites for photoelectrochemical (PEC) water splitting. The as‐created photoanode (ZFO‐MSNi) shows a remarkable cathodic shift of ≈ 450 mV (turn‐on voltage of ≈ 0.6 VRHE) as well as three times the 1‐sun photocurrent density at 1.23 VRHE for PEC water oxidation in comparison with bare ZFO. A comprehensive structural characterization clearly reveals the local structure of the introduced Ni2+ in ZFO‐MSNi. Fewer surface trapping states are observed while the precisely introduced Ni2+ and associated neighboring Fe(3‐σ)+ (0<σ<1) sites unite in an edge‐sharing octahedral configuration to function as NiFe dual active sites for PEC water oxidation. Moreover, open circuit potential measurements and rapid‐scan voltammetry investigation give further insight into the enhanced PEC performance. Overall, this work displays a versatile strategy to regulate the surface active sites of photoelectrodes for increasing performance in PEC solar energy conversion systems.
Selective Exposure of Robust Perovskite Layer of Aurivillius‐Type Compounds for Stable Photocatalytic Overall Water Splitting
Authors: Huang Jie , Kang Yuyang , Liu Jian‐An , Chen Ruotian , Xie Tengfeng , Liu Zhongran , Xu Xiaoxiang , Tian He , Yin Lichang , Fan Fengtao , Wang Lianzhou , Liu Gang 
Published: June 2023

AbstractAurivillius‐type compounds ((Bi2O2)2+(An–1BnO3n+1)2−) with alternately stacked layers of bismuth oxide (Bi2O2)2+ and perovskite (An−1BnO3n+1)2− are promising photocatalysts for overall water splitting due to their suitable band structures and adjustable layered characteristics. However, the self‐reduction of Bi3+ at the top (Bi2O2)2+ layers induced by photogenerated electrons during photocatalytic processes causes inactivation of the compounds as photocatalysts. Here, using Bi3TiNbO9 as a model photocatalyst, its surface termination is modulated by acid etching, which well suppresses the self‐corrosion phenomenon. A combination of comprehensive experimental investigations together with theoretical calculations reveals the transition of the material surface from the self‐reduction‐sensitive (Bi2O2)2+ layer to the robust (BiTiNbO7)2− perovskite layer, enabling effective electron transfer through surface trapping and effective hole transfer through surface electric field, and also efficient transfer of the electrons to the cocatalyst for greatly enhanced photocatalytic overall water splitting. Moreover, this facile modification strategy can be readily extended to other Aurivillius compounds (e.g., SrBi2Nb2O9, Bi4Ti3O12, and SrBi4Ti4O15) and therefore justify its usefulness in rationally tailoring surface structures of layered photocatalysts for high photocatalytic overall water‐splitting activity and stability.
Growth and yield responses of soybean according to subsurface fertigation
Authors: Jong Hyuk Kim , Kang Chang Keun , Rho Il Rae 
Published: June 2023

AbstractTo increase soybean [Glycine max (L.) Merr.] yield, appropriate amounts of water and fertilizer are required at optimal times from sowing to maturity. This study was conducted to investigate how soybean growth and yield were affected by irrigation and fertigation using a subsurface drip system, which consisted of a buried (40‐cm underground) drip pipe that can be used in a semipermanent manner without affecting agricultural work on the ground. The amount of water required for the fertigation treatment was determined to be 176 t ha−1 with the sandy loam soil in this experimental field. Fertigation treatments based on 176 t ha−1 were carried out as topdressing applications and were applied through the subsurface drip system based on the fertilizer concentration (nitrogen only: N 20, N 40, N 60 kg ha−1, or compound fertilizer, that is, NPK 1/2 [half of the standard fertilizer amount applied as 16–16–18]). The other treatments included irrigation only and control (nontreatment). The results indicated that the N 20 treatment was the most effective, increasing yield by 83% compared with the control, whereas the N 40, N 60, and NPK 1/2 treatments produced slightly lower yields. In terms of fertigation, an excessive fertilizer concentration increased the growth of aboveground parts but reduces nodulation and yield. These results highlight the effectiveness of fertigation as a form of topdressing fertilization using a subsurface drip system for achieving a high yield and stable soybean production.
Invasive fungal sinusitis risk factors among immunosuppressed hematopoietic stem cell transplant recipients
Authors: Munyemana Marie‐Ange , Pande Anupam , Kallogjeri Dorina , Farrell Nyssa F. , Schneider John S. , Kendall Peggy L. , Roland Lauren T. 
Published: June 2023

Key points
Invasive fungal sinusitis (IFS) rate and risk factors in transplant recipients were explored
IFS rate is higher in allogeneic recipients with prior transplants and worse comorbidity scores
The at‐risk timeframes for IFS development were identified
Fc N‐glycosylation of autoreactive Aβ antibodies as a blood‐based biomarker for Alzheimer's disease
Authors: Kronimus Yannick , Albus Alexandra , Hasenberg Mike , Walkenfort Bernd , Seifert Marc , Budeus Bettina , Gronewold Janine , Hermann Dirk M. , Ross J. Alexander , Lochnit Günter , Galuska Sebastian P. , Marcus Katrin , Sitek Barbara , Klotsche Jens , Mengel David , Neumann Sascha , Dodel Richard 
Published: June 2023

AbstractINTRODUCTIONNaturally occurring autoantibodies (nAbs) against the pathologic isoform of amyloid beta (Aβ42) were found in body fluids and indicate a systemic B cell response that may prevent Alzheimer's disease (AD) onset. N‐glycans attached to immunoglobulin G‐Fab/Fc fragments are features that influence their mechanism of action. The aim was to study the role of N‐glycans in nAbs‐Aβ42.METHODSnAbs‐Aβ42 were isolated from AD patients and age‐/sex‐matched controls (n = 40) and immunoglobulin preparations. Glycosylated/deglycosylated nAbs‐Aβ42 were analyzed for their effect on Aβ42’s aggregation, toxicity, and phagocytosis. Glycan structure was analyzed using matrix assisted laser desorption ionization time of flight mass spectrometry.RESULTSDeglycosylation of nAbs‐Aβ42 had a major impact on Aβ42’s aggregation/toxicity/phagocytosis. The glycan structure showed considerable differences between AD and controls. We were able to predict disease status with a sensitivity/specificity of 95% (confidence interval [CI]: 76.4–99.7%)/100% (CI: 83.9–100%).DISCUSSIONN‐glycosylation has been identified as a critical attribute maintaining the beneficial effects of autoreactive Aβ antibodies. These data have consequences for the development of monocloncal Aβ antibodies and may open new avenues for diagnostics.