bluuebunny/crossref_metadata_2025_split huggingface dataset:
TADF‐Emitting Nanoparticles for Application as Probes in Time‐Resolved Imaging and 1O2 Photosensitizers
Authors: Diniz Ana Marta , Crucho Carina I. C. , Ruedas‐Rama Maria J. , Orte Angel , Dias Cristina J. , Outis Mani , Pinto Sandra N. , Faustino M. Amparo F. , Berberan‐Santos Mário Nuno , Avó João 
Published: November 2024

AbstractOrganic Thermally Activated Delayed Fluorescence (TADF) molecules are luminescent compounds capable of harvesting energy from triplet states without using heavy metals. This process results in oxygen‐sensitive, long‐lived delayed emission, suitable for developing optical probes for time‐gated cell imaging, oxygen sensors, and singlet oxygen photosensitizers. Despite their potential, the use of TADF emitters in these applications is hindered by poor performance in polar media and the challenge of balancing high photoluminescence quantum yields, long emission lifetimes, and high triplet formation quantum yields. In this study, novel TADF emitters are developed based on 1,8‐naphthalimide (NI) dyes, and how encapsulation in polymeric nanoparticles can enhance their performance in aqueous media is demonstrated. The resulting nanomaterials exhibit high delayed‐to‐prompt emission ratios, long delayed fluorescence lifetimes, and exceptional applicability in time‐resolved imaging. The singlet oxygen photosensitization capabilities of the TADF nanomaterials in the photodegradation of phenol, exploring a Förster Resonance Energy Transfer (FRET) system that improved the efficiency, are also assessed. These findings highlight the promising potential of TADF nanomaterials for diverse applications, including photodegradation of pollutants, cellular imaging, and biosensing.
Precursor Reactivity‐Controlled Synthesis of ZnSeTe Spherical Quantum Wells with Narrow and Symmetric Photoluminescence
Authors: Yu Binbin , Gao Lei , Huang Fei , Tian Shuyu , Zhang Mengqi , Wang Junfeng , Wei Xuecheng , Sun Xuejiao , Wei Huiyun , Cao Ang , Ning Jiajia , Tian Jianjun 
Published: November 2024

AbstractEnvironment‐friendly ZnSeTe quantum dots (QDs) are considered as potential blue light emitters. However, due to the large reaction activity difference between Se and Te precursors, ZnSeTe QDs usually can not uniformly alloyed and generate lattice distortion, reducing the color purity or photoluminescence quantum yield (PLQY). A ZnSe/ZnSeTe/ZnSe spherical quantum well (SQW) structure with quasi type‐II energy band arrangement is designed. To promote the uniform growth and even alloying of ternary ZnSeTe, weakly active biphenyltellurium (Ph2Te2) is applied as a new Te source for balancing the reactivity between Te and Se. Epitaxial growth of high crystallinity ZnSeTe with greatly reduced defects is obtained. After ZnS outer layer passivation, the obtained ZnSe/ZnSeTe/ZnSe/ZnS QDs exhibit a high PLQY (≈84%) and a narrow full width at half maxima (19 nm) without asymmetric broaden at 455 nm, contributing to an ultrahigh color purity, which is among the best photoluminescence performance for blue emitting ZnSeTe based QDs. This work provides a new balance strategy of precursor reactivity for synthesizing high color purity and heavy metal free blue ZnSeTe QDs.
Hybrid Multi‐Resonance Thermally Activated Delayed Fluorescent Emitters with High Efficiency and High Color Purity
Authors: Moon Junyoung , Han Seungwon , Lee Jun Yeob 
Published: November 2024

AbstractHighly efficient blue organic light‐emitting diodes (OLEDs) generally exhibit inferior color purity or large full width at half maximum (FWHM). Therefore, emitting materials with simultaneously high efficiency and small FWHM in the deep‐blue region are challenging to construct. To address this, hybrid multi‐resonance thermally activated delayed fluorescence (MR‐TADF) emitters are designed by combining boron‐based MR‐TADF materials, which exhibit small FWHM and high efficiency, with indolo[3,2,1‐jk]carbazole (ICz)‐based MR‐TADF materials, which exhibit high color purity. Two hybrid MR‐TADF emitters are synthesized by hybridizing ICz with a boron‐based MR‐TADF core to prepare deep‐blue OLEDs with high efficiency and high color purity. The hybrid MR‐TADF emitter exhibits a maximum external quantum efficiency of 28.7% and deep‐blue emission at 454 nm with an FWHM of 25 nm, and CIEy of 0.053, nearly satisfying the BT 2020 color standard. The device efficiency achieved in this work is one of the highest values reported for the blue OLEDs with the CIEy close to 0.05.
Highly Sensitive Dispersion Characterization of mm‐Length Silicon Nitride Waveguides and Their Couplers Around the Zero‐Dispersion Wavelength
Authors: Watanabe Koyo , Niigaki Ryu , Inoue Takashi , Thienpont Hugo , Vermeulen Nathalie 
Published: November 2024

AbstractIn the fast‐growing field of integrated photonics, quantifying the dispersive characteristics of the optical components integrated on chip is of key importance. The short length of on‐chip components, however, makes it challenging to measure their dispersive properties. Hence, experimental data are relatively scarce, especially at wavelengths close to the zero‐dispersion wavelength (ZDW) where the dispersion‐length product becomes very small. Ideally, the dispersion should be characterized with a technique that, besides being highly sensitive, “directly” yields the dispersion value without frequency derivative calculations nor the addition of dedicated on‐chip measurement structures. To fulfill these requirements, a dispersion characterization technique is presented relying on femtosecond‐resolution time‐of‐flight measurements combined with advanced spatial light modulator (SLM) technology. With this new “direct” technique, suitable for measuring dispersion‐length products down to 5 × 10−5 ps nm−1, the dispersion of mm‐length silicon nitride waveguides is characterized, both in the weakly dispersive (close to the ZDW) and strongly dispersive regimes. Furthermore, dispersion data are presented for sub‐mm‐length trident couplers and inverted taper couplers connected to the waveguides. The resulting insights into the waveguides’ and couplers’ dispersive properties, and the wide applicability of the technique, will benefit the development of advanced photonic integrated circuits (PICs) in silicon nitride and other waveguide material platforms.
Single‐Mode Excited Thermally‐Responsive Multicolor Emissions of High Entropy Upconversion Perovskite Halides for Anticounterfeiting
Authors: Hu Yanqing , Yu Shijie , Zhang Rui , Zhou Jiaqiang , Zhang Xi , Cai Li , Wan Jiasheng , Xue Yijun , Sun Shuang , Cui Yiling , Zhao Ming , Li Zuo‐Xi , Shao Qiyue 
Published: November 2024

AbstractThis work presents a novel and highly secure anticounterfeiting strategy based on high entropy upconversion perovskite halides with thermally responsive multicolor emissions excited by a single laser. The perovskite halides are doped with rare earth cations and oxygen anions simultaneously and form the high entropy crystal structure by using a solid‐state reaction method. The color‐shifting emissions stem from luminescent kinetics transformation from energy transfer upconversion at low temperature to excited state absorption at high temperature. The multicolor emissions can also be trigged by the 975 nm laser heating effect. The results indicate the great potential of the high entropy upconversion perovskites for anticounterfeiting applications with a convenient recognition method.
Enabling Visualized Time‐Resolved Dynamic Discoloring Afterglow from Carbon Dots by Engineering Luminescent Centers and Trap‐States for Security Applications
Authors: Xu Yixuan , Cheng Zihan , Wang Henggang , Jiang Jun , Zhou Zuxu , Feng Linger , Wang Xiaomeng , Lin Hengwei , Jiang Kai 
Published: November 2024

AbstractLuminescent materials with time‐resolved dynamic discoloring afterglow (TDDA) hold significant potential for applications in anti‐counterfeiting and data encryption. However, the afterglows coming from organic systems are usually unidentifiable due to their shorter durations (less than 10 s). Achievement of long‐lasting and visually discernible TDDA remains highly desirable but challenging. In this work, the TDDA duration is successfully extended from less than 10 s to minutes by engineering the luminescent centers of carbon dots (CDs) and introducing deep trap‐states in a composite of CDs and carbon nitrides (CNs) (named Y‐CDs@CN). It is confirmed that the regulation of luminescent centers in CDs containing both C═N and C═O bonds is responsible for the color changes during TDDA from yellow to green. Moreover, the generation of deep trap states is found to be significant for prolonging the afterglow duration to minutes level through converting room temperature phosphorescence into long persistent luminescence, thus making the entire dynamic discoloring process being easily recognized to naked eyes. Furthermore, the afterglow of Y‐CDs@CN can also be excited by blue light and even using white light of a cell phone. To harness these characteristics, potential applications of Y‐CDs@CN for portable anti‐counterfeiting and multidimensional information encryption are primarily investigated.
Synthesis of Difuropyridines from Chitin‐Derived 3‐Acetamidofuran and their Application to Photocatalytic Reactions
Authors: Gan Haifeng , Ma Peipei , Yang Taixiang , Cao Fei , Zhu Jianliang 
Published: November 2024

AbstractDifuropyridines have been prepared from aldehydes and chitin‐derived 3‐acetamidofuran (3AF) under acid‐catalyzed conditions. Difuropyridines were comprehensively synthesized for the first time. The synthesized difuropyridines can be applied to prepare fluorescent probe analogs or catalyze decarboxylative reactions as photocatalysts.
PCBP1/2 and TDP43 Function as NAT10 Adaptors to Mediate mRNA ac4C Formation in Mammalian Cells
Authors: Jiang Zhi‐Yan , Wu Yu‐Ke , Deng Zuo‐Qi , Chen Lu , Zhu Yi‐Min , Yu Yuan‐Song , Wu Hong‐Bo , Fan Heng‐Yu 
Published: November 2024

AbstractMassive numbers of modified bases in mRNAs sculpt the epitranscriptome and play vital roles in RNA metabolism. The only known acetylated RNA modification, N‐4‐acetylcytidine (ac4C), is highly conserved across cell types and among species. Although the GCN5‐related acetyltransferase 10 (NAT10) functions as an ac4C writer, the mechanism underlying the acetylation process is largely unknown. In this study, the NAT10/PCBP/TDP43 complex mediated mRNA ac4C formation in mammalian cells is identified. RNA‐binding proteins (RBPs) are identified, affiliated with two different families, poly(rC)‐binding protein 1/2 (PCBP1/2) and TAR DNA binding protein 43 (TDP43), as NAT10 adaptors for mRNA tethering and substrate selection. Knockdown of the adaptors resulted in decreased mRNA acetylation abundance in HEK293T cells and ablated cytidine‐rich ac4C motifs. The adaptors also affect the ac4C sites by recruiting NAT10 to their binding sequences. The presence of the NAT10/PCBP/TDP43 complex in mouse testes highlights its potential physiological functions in vivo. These findings reveal the composition of the mRNA ac4C writer complex in mammalian cells and expand the knowledge of mRNA acetylation and ac4C site preferences.
AAV‐mediated Gene Therapy for Hereditary Deafness: Progress and Perspectives
Authors: Zhang Liyan , Tan Fangzhi , Qi Jieyu , Lu Yicheng , Wang Xiaohan , Yang Xuehan , Chen Xiangyan , Zhang Xinru , Fan Jinyi , Zhou Yinyi , Peng Li , Li Nianci , Xu Lei , Yang Shiming , Chai Renjie 
Published: November 2024

AbstractHereditary deafness is the most prevalent sensory deficit disorder, with over 100 identified deafness‐related genes. Clinical treatment options are currently limited to external devices like hearing aids and cochlear implants. Gene therapy has shown promising results in various genetic disorders and has emerged as a potential treatment for hereditary deafness. It has successfully restored hearing function in >20 types of genetic deafness model mice and can almost completely cure patients with hereditary autosomal recessvie deafness 9 (DFNB9) caused by the OTOFERLIN (OTOF) mutation, thus serving as a translational paradigm for gene therapy for other forms of genetic deafness. However, due to the complexity of the inner ear structure, the diverse nature of deafness genes, and variations in transduction efficiency among different types of inner ear cells targeted by adeno‐associated virus (AAV), precision gene therapy approaches are required for different genetic forms of deafness. This review provides a comprehensive overview of gene therapy for hereditary deafness, including preclinical studies and recent research advancements in this field as well as challenges associated with AAV‐mediated gene therapy.
m6A‐Modified SNRPA Controls Alternative Splicing of ERCC1 Exon 8 to Induce Cisplatin Resistance in Lung Adenocarcinoma
Authors: Fan Weina , Huang Jian , Tian Fanglin , Hong Xin , Zhu Kexin , Zhan Yuning , Li Xin , Wang Xiangyu , Wang Xin , Cai Li , Xing Ying 
Published: November 2024

AbstractAlternative splicing (AS) generates protein diversity and is exploited by cancer cells to drive tumor progression and resistance to many cancer therapies, including chemotherapy. SNRPA is first identified as a spliceosome‐related gene that potentially modulates resistance to platinum chemotherapy. Both the knockout or the knockdown of SNRPA via CRISPR/Cas9 and shRNA techniques can reverse the resistance of cisplatin‐resistant lung adenocarcinoma (LUAD) cells to cisplatin. SNRPA overexpression enhanced the resistance of cisplatin‐sensitive LUAD cells. Gene Ontology (GO) analysis reveals that SNRPA is associated with DNA damage repair. Depletion of SNRPA induced ERCC1 exon 8 skipping and reduced ERCC1–XPF complex formation, whereas SNRPA overexpression exerted the opposite effect. siRNAs targeting isoforms containing ERCC1 exon 8 [ERCC1‐E8 (+)] reversed SNRPA‐enhanced cisplatin resistance and DNA damage repair. Furthermore, the IGF2BP protein, an m6A reader, and the ELAVL1 protein, an RNA stabilizer recruited by IGF2BP1, are found to bind to the SNRPA mRNA. ELAVL1 promoted cisplatin resistance, DNA repair and ERCC1‐E8 (+) expression in an SNRPA‐dependent manner. In a mouse xenograft model, SNRPA‐KO CRISPR enhanced the sensitivity of LUAD cells to cisplatin. Overall, this study illuminates the role of SNRPA in platinum‐based drug resistance, thereby providing a novel avenue to potentially enhance chemosensitivity and improve the prognosis of patients with LUAD.
Transcriptomics‐Based Liquid Biopsy for Early Detection of Recurrence in Locally Advanced Gastric Cancer
Authors: Ding Ping'an , Wu Jiaxiang , Wu Haotian , Li Tongkun , Niu Xiaoman , Yang Peigang , Guo Honghai , Tian Yuan , He Jinchen , Yang Jiaxuan , Gu Renjun , Zhang Lilong , Meng Ning , Li Xiaolong , Guo Zhenjiang , Meng Lingjiao , Zhao Qun 
Published: November 2024

AbstractThe study presents a transcriptomics‐based liquid biopsy approach for early recurrence detection in locally advanced gastric cancer (LAGC). Four mRNA biomarkers (AGTR1, DNER, EPHA7, and SUSD5) linked to recurrence are identified through transcriptomic data analysis. A Risk Stratification Assessment (RSA) model combining these biomarkers with clinical features showed superior predictive accuracy for postoperative recurrence, with AUCs of 0.919 and 0.935 in surgical and liquid biopsy validation cohorts, respectively. Functional studies using human gastric cancer cell lines AGS and HGC‐27 demonstrated that silencing the identified mRNA panel genes impaired cell migration, invasion, and proliferation. In vivo experiments further showed reduced tumor growth, metastasis, and lymphangiogenesis in mice, possibly mediated by the cAMP signaling pathway. This non‐invasive approach offers significant potential for enhancing recurrence detection and enabling personalized treatment strategies, thereby improving patient outcomes in the management of LAGC.
Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook
Authors: Xue Pengcheng , Qiu Rui , Peng Chuchuan , Peng Zehang , Ding Kui , Long Rui , Ma Liang , Zheng Qifeng 
Published: November 2024

AbstractThe application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life. However, the accuracy of ML predictions is strongly dependent on the underlying data, while the data of lithium battery materials faces many challenges, such as the multi‐sources, heterogeneity, high‐dimensionality, and small‐sample size. Through the systematic review of the existing literatures, several effective strategies are proposed for data processing as follows: classification and extraction, screening and exploration, dimensionality reduction and generation, modeling and evaluation, and incorporation of domain knowledge, with the aim to enhance the data quality, model reliability, and interpretability. Furthermore, other possible strategies for addressing data quality such as database management techniques and data analysis methodologies are also emphasized. At last, an outlook of ML development for data processing methods is presented. These methodologies are not only applicable to the data of lithium battery materials, but also endow important reference significance to electrocatalysis, electrochemical corrosion, high‐entropy alloys, and other fields with similar data challenges.
Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating
Authors: Namiki Wataru , Nishioka Daiki , Nomura Yuki , Tsuchiya Takashi , Yamamoto Kazuo , Terabe Kazuya 
Published: November 2024

AbstractPhysical reservoirs are a promising approach for realizing high‐performance artificial intelligence devices utilizing physical devices. Although nonlinear interfered spin‐wave multi‐detection exhibits high nonlinearity and the ability to map in high dimensional feature space, it does not have sufficient performance to process time‐series data precisely. Herein, development of an iono–magnonic reservoir by combining such interfered spin wave multi‐detection and ion‐gating involving protonation‐induced redox reaction triggered by the application of voltage is reported. This study is the first to report the manipulation of the propagating spin wave property by ion‐gating and the application of the same to physical reservoir computing. The subject iono–magnonic reservoir can generate various reservoir states in a single homogenous medium by utilizing a spin wave property modulated by ion‐gating. Utilizing the strong nonlinearity resulting from chaos, the reservoir shows good computational performance in completing the Mackey–Glass chaotic time‐series prediction task, and the performance is comparable to that exhibited by simulated neural networks.
Assessing the Environmental Impact of Pnictogen‐based Perovskite‐Inspired Materials for Indoor Photovoltaics
Authors: Vidal Rosario , Lamminen Noora , Holappa Ville , Alberola‐Borràs Jaume‐Adrià , Franco Iván P. , Grandhi G. Krishnamurthy , Vivo Paola 
Published: November 2024

AbstractThe development of eco‐friendly indoor photovoltaics (IPVs) for Internet‐of‐Things (IoT) devices is booming. Emerging IPVs, especially those based on lead halide perovskites (LHPs), outperform the industry standard of amorphous hydrogenated silicon (a‐Si:H). However, the toxic lead in LHPs drives the search for safer alternatives. Perovskite‐inspired materials (PIMs) containing bismuth (Bi) and antimony (Sb) have shown promise, achieving indoor power conversion efficiencies (PCE) approaching 10% despite early research stages. This is promising due to their eco‐friendlier light‐harvesting layers compared to LHPs. Yet, the environmental footprint of pnictogen‐based PIM over their lifecycle remains unassessed. This study conducts a life‐cycle assessment (LCA) of the best‐performing Sb‐ and Bi‐PIMs, considering PCE, raw material availability, energy consumption, and waste generation. It is find that PCE plays a decisive role in identifying the PIM for IPVs with minimized environmental impact, namely a Bi‐Sb alloy. Extended LCA simulations for industrial‐scale processing show that the most promising Bi‐PIM has a reduced environmental burden compared to a‐Si:H. It is also explore challenges and solutions for enhancing Bi‐and Sb‐PIMs’ sustainability. Overall, this study provides the first evidence of the potential of pnictogen‐based PIMs as a sustainable IPV technology, addressing whether lead‐free PIMs are truly eco‐friendly, thus contributing toward battery‐less IoT applications.
Limestone reaction in sandy soil: Rate effects, limestone type, moisture regime, and time
Authors: Santos Flávia Cristina dos , Resende Álvaro Vilela de , Soares Johnny Rodrigues , Viana João Hebert Moreira , Santana Monna Lysa Teixeira , Moreira Silvino Guimarães , Albuquerque Filho Manoel Ricardo de 
Published: November 2024

AbstractAn experiment was conducted in the greenhouse facilities of Embrapa Maize and Sorghum to evaluate the limestone reaction in sandy soil based on rates, limestone type, effective calcium carbonate equivalent (ECCE), and moisture regime over time. A factorial design of 4 × 2 + 3 was adopted, consisting of four limestone rates with 76% ECCE (0, 1, 2, and 4 Mg ha−1), two irrigation types (daily and monthly, simulating constant and intermittent moisture regime), and three additional treatments (three rates of “filler” limestone—99% ECCE—under monthly irrigation). Soil chemical characteristics were analyzed at 1, 2, 3, 6, and 12 months after treatment application. Soil fertility improved at the first month after treatment application, with emphasis on higher limestone rates, monthly moisture regime, and filler lime stone. The highest limestone rate did not increase the pH above 7.0. The recommended limestone rate was insufficient to elevate Ca + Mg levels to the adequate level for current production genotypes and systems, which demand higher standards. These outcomes reinforce the need for carrying out further studies and potential revision in liming recommendations for sandy soils.
Genotypic variation in nitrogen fixation characteristics in faba bean (Vicia faba L.) under contrasting phosphorus fertilizer regimes
Authors: Abu Gemechu , Adetimirin Victor , Fatokun Christian , Keneni Gemechu , Assefa Fassil 
Published: November 2024

AbstractAssessment of the genetic variability is an important step in improving nitrogen (N2) fixation potential of faba bean (Vicia faba L.) genotypes. The study was conducted to evaluate the genotypic variation for symbiotic N2 fixation traits of faba bean under contrasting phosphorus (P) fertilizer regimes. Twenty and 12 genotypes in the field and greenhouse, respectively, were planted under two P fertilizer regimes (P− and P+ corresponding to 0 and 46 kg/ha) using a randomized complete block design with three replications. Analysis of variance indicated highly significant (p < 0.01) variation among genotypes for all N2 fixation traits under both P regimes, indicating the availability of genotypic variation. Genotypes Obse, Dosha, Didea, Gebelcho, Gora, Moti, and Hachalu had better performance for N2 fixation traits and higher grain yield (GY) across all study conditions. Performances of all N2 fixation traits, except nitrogen harvest index, were better under P+ than under P−. P fertilizer application in the field resulted in 12.3, 12.9%, 18.9%, and 24.2% increase in the number of nodules per plant, nodule dry weight per plant (NDWP), N2 yield (NY), and the amount of N2 fixed (NF), respectively. In the greenhouse, 18.9%, 22.5%, and 27.2% increment was obtained for NDWP, NY, and NF, respectively, due to fertilizer application. Biplot analysis revealed that NF, NY, percentage of nitrogen derived from atmosphere (%Ndfa), shoot nitrogen concentration (ShN), and GY were the traits responsible for large genetic variation for N2 fixation. NF had higher heritability and formed a significant positive correlation with most nitrogen fixation traits, suggesting the potential of the trait to be improved through breeding.