bluuebunny/crossref_metadata_2025_split huggingface dataset:
GSH‐Responsive Shape‐Transformable Nanotheranostics for Dual‐Modal T1/T2 MRI‐Guided Enhanced PDT of Nasopharyngeal Carcinoma
Authors: Yang Qianyu , Wu Gang , Yang Yefeng , Zhou Yang , Song Jiali , Gao Huile , Huang Weiyuan 
Published: March 2024

AbstractBased on the properties of photodynamic therapy (PDT) and magnetic resonance imaging (MRI), combining them to construct multifunctional nanotheranostics can leverage strengths and avoid weaknesses for tumor diagnosis and treatment. However, certain problems remain unsolved, notably the short observation window caused by insufficient retention time. In this study, a GSH‐responsive shape‐transformable nanotheranostics Gd‐Ce6‐FFVLGGGC‐SS‐PEG are designed (abbreviated as GdCFS) by combining a single metal Gd with Ce6, and peptide (Phe‐Phe‐Val‐Leu‐Gly‐Gly‐Gly‐Cys) disulfide‐conjugated with polyethylene glycol (PEG) to perform dual‐modal T1/T2 MRI specifically at the tumor site. Due to its amphiphilic features, GdCFS can self‐assemble to spherical nanoparticles, while transforming to nanofibers (NFs) in the presence of intracellular overexpressed GSH stimuli. After NFs formation, the hydrophobic core of GdCFS is exposed, resulting in T1 positive contrast enhancement, whereas NFs can simultaneously achieve T2 negative contrast enhancement. Furthermore, GSH depletion can cause imbalance in intracellular redox state, ultimately improving PDT efficacy. GdCFS benefits from the shape‐transformation in terms of sufficient retention time, thus positively minimizing the toxicity risk. On the tumor model of nasopharyngeal carcinoma, in vivo and in vitro outcomes confirm that GdCFS can be a promising candidate for early diagnosis, real‐time monitoring, and precise treatment of tumors with great biocompatibility.
Engineered Microenvironmental Cues from Fiber‐Reinforced Hydrogel Composites Drive Tenogenesis and Aligned Collagen Deposition
Authors: Kent Robert N. , Jewett Maggie E. , Buck Trevor P. , Said Mohamed , Hold LeeAnn A. , Crawford Eileen A. , Killian Megan L. , Abraham Adam C. , Huang Alice H. , Baker Brendon M. 
Published: March 2024

AbstractEffective tendon regeneration following injury is contingent on appropriate differentiation of recruited cells and deposition of mature, aligned, collagenous extracellular matrix that can withstand the extreme mechanical demands placed on the tissue. As such, myriad biomaterial approaches have been explored to provide biochemical and physical cues that encourage tenogenesis and template aligned matrix deposition in lieu of dysfunctional scar tissue formation. Fiber‐reinforced hydrogels present an ideal biomaterial system toward this end given their transdermal injectability, tunable stiffness over a range amenable to tenogenic differentiation of progenitors, and capacity for modular inclusion of biochemical cues. Here, tunable and modular, fiber‐reinforced, synthetic hydrogels are employed to elucidate salient microenvironmental determinants of tenogenesis and aligned collagen deposition by tendon progenitor cells. Transforming growth factor β3 drives a cell fate switch toward pro‐regenerative or pro‐fibrotic phenotypes, which can be biased toward the former by culture in softer microenvironments or inhibition of the RhoA/ROCK activity. Furthermore, studies demonstrate that topographical anisotropy in fiber‐reinforced hydrogels critically mediates the alignment of de novo collagen fibrils, reflecting native tendon architecture. These findings inform the design of cell‐free, injectable, synthetic hydrogels for tendon tissue regeneration and, likely, that of a range of load‐bearing connective tissues.
The LiV3O8 Superlattice Cathode with Optimized Zinc Ion Insertion Chemistry for High Mass‐Loading Aqueous Zinc‐Ion Batteries
Authors: Wu Menghua , Shi Chuan , Yang Junwei , Zong Yu , Chen Yu , Ren Zhiguo , Zhao Yuanxin , Li Zhao , Zhang Wei , Wang Liyu , Huang Xinliang , Wen Wen , Li Xiaolong , Ning Xin , Ren Xiaochuan , Zhu Daming 
Published: March 2024

AbstractResolving the sluggish transport kinetics of divalent Zn2+ in the cathode lattice and improving mass‐loading performance are crucial for advancing the zinc‐ion batteries (AZIBs) application. Herein, PEO‐LiV3O8 superlattice nanosheets (PEO‐LVO) with expanded interlayer spacing (1.16 nm) are fabricated to provide a high‐rate, stable lifetime, and large mass‐loading cathode. The steady in‐plane expansion without shrinkage after the first cycle, but reversible H+/Zn2+ co‐insertion in PEO‐LVO are demonstrated by operando synchrotron X‐ray diffraction and ex situ characterizations. Moreover, the large capacity of PEO‐LVO is traced back to the optimized Zn2+ insertion chemistry with increased Zn2+ storage ratio, which is facilitated by the interlayer PEO in lowering the Zn2+ diffusion barrier and increased number of active sites from additional interfaces, as anticipated by density functional theory. Due to the optimized ion insertion resulting in stalled interfacial byproducts and rapid kinetics, PEO‐LVO achieves excellent high mass‐loading performance (areal capacity up to 6.18 mAh cm−2 for freestanding electrode with 24 mg cm−2 mass‐loading and 2.8 mAh cm−2 at 130 mA cm−2 for conventional electrode with 27 mg cm−2 mass‐loading). As a proof‐of‐concept, the flexible all‐solid‐state fiber‐shaped AZIBs with high mass‐loading woven into a fabric can power an electronic watch, highlighting the application potential of PEO‐LVO cathode.
Laser Technology for Perovskite: Fabrication and Applications
Authors: Wan Zhengfen , Liu Zichen , Zhang Qiwen , Zhang Qiming , Gu Min 
Published: March 2024

AbstractPerovskite has attracted considerable attention in the electronic and optical fields in recent years, fulfilling the requirements of the ever‐growing demand in energy, environment, security, and big data storage. Laser direct writing technology is a flexible and mask‐free approach for fabricating, structuring, modifying, and patterning perovskites. Laser irradiation can directly induce perovskites from precursors due to the photothermal and photochemical effects of laser. Therefore, various laser‐induced perovskites, such as perovskite quantum dots, nanowires, nanocrystals, and films, are summarized. In particular, the laser‐induced perovskites in glass are intensively investigated for their high stability and flexibility in 3D printing. The second part of this review examines various applications of perovskites based on laser technology, such as solar cells, flat lenses, microlasers, photoluminescence, lithography, sensors, optical encryption, and data storage. Diverse laser treatments employed for modulating and patterning perovskite devices, such as laser annealing, laser ablation, and laser‐induced defects, are discussed. Prospective challenges and future trends in this research field are also concluded.
Engineering MnO2 Nanomulberries for Enhancing PTT/PDT Synergistic Cancer Therapy
Authors: Chen Lili , Wang Han , Zhan Tao , Yuan Xiumei , Ma Xiaoru 
Published: March 2024

AbstractConsidering the great catalyzation ability to degrade H2O2 into O2, MnO2 nanoparticles are utilized as nanocarriers in phototherapies for anticancer treatments to overcome the hypoxia tumor microenvironment (TME). However, the confliction of size requirement between promoting tumor delivery and cellular uptake and catalyzing H2O2 degradation limits the functions of MnO2 nanoparticles. Herein, this work presents strategy to cross‐link small‐sized MnO2 nanoparticles, during which the indocyanine green (ICG) is loaded, thus obtaining large‐sized MnO2 nanomulberries (MnINCs) for overcoming the size requirement confliction. The MnINCs present great performances in both photothermal therapy (PTT) and photodynamic therapy (PDT) effects. This work tests the therapeutic efficacy of MnINCs in various human cancer cell lines including human cervical cancer cell line (HeLa), human breast cancer cell line (MCF‐7), human hepatoma cell line (HepG‐2), human gastric carcinoma cell line (MGC803), and a Hela cell‐derived xenograft model. The satisfying growth inhibition effects are observed in all these cell lines and the tumor model. The demonstrations for using MnINCs to overcome the size requirement confliction between promoting tumor delivery and cellular uptake and catalyzing H2O2 degradation highlight the promising application potentials of the clustering strategy for developing innovative treatments in cancer therapy.
Unlocking Invisible Defects of ZnSe Alloy Shells in Giant Quantum Dots with Near Unity Quantum Yield
Authors: Kim Byong Jae , Kim Hyoungjun , Jung Woon Ho , Choi Yeongho , Kim Dong Hyeon , Lee Hyeonjun , Park Kyoungwon , Jeong Mun Seok , Park Ji‐Sang , Lim Jaehoon 
Published: March 2024

AbstractPhotoluminescence quantum yield (PL QY) of colloidal quantum dots (QDs) can be improved by growing a shell, but it is rather limited if the shell thickness exceeds a threshold. Lattice mismatch between the core and shell is known to determine this critical shell thickness, securing QDs from defect formation through strain release. However, it cannot explain the recently reported high efficiency QDs with giant shells. Based on CdSe/ZnSe thick shell QDs, this study aims to identify the culprit limiting PL QY. In the shell growth process, the gradual reduction in PL QY is accompanied by a low‐energy tail emission, but the additional compressive strain by the outmost shell eliminates such abnormalities. It is revealed that the zinc vacancy in the shell provides shallow hole trap states. The computational study successfully explains the hole‐accepting zinc vacancy states above the CdSe 1Shh state, raised by compressive strain along radial direction. Additional hydrostatic compressive strain lifts the 1Shh state for this strained heterostructure to minimize the energetic gap with the zinc vacancy states. The finding suggests that critical shell thickness can be limited by atomic vacancy incorporated during shell growth, not by formation of misfit dislocation caused by strain release.
Time‐Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction
Authors: Galvez‐Aranda Diego E. , Dinh Tan Le , Vijay Utkarsh , Zanotto Franco M. , Franco Alejandro A. 
Published: March 2024

AbstractThe manufacturing process of Lithium‐ion battery electrodes directly affects the practical properties of the cells, such as their performance, durability, and safety. While computational physics‐based modeling has been proven as a very useful method to produce insights on the manufacturing properties interdependencies as well as the formation of electrode microstructures, their high computational costs prevent their direct utilization in electrode optimization loops. In this work, a novel time‐dependent deep learning (DL) model of the battery electrodes manufacturing process is reported, demonstrated for calendering of nickel manganese cobalt (NMC111) electrodes, and trained with time‐series data arising from physics‐based Discrete Element Method (DEM) simulations. The DL model predictions are validated by comparing evaluation metrics (e.g., mean square error (MSE) and R2 score) and electrode functional metrics (contact surface area, porosity, diffusivity, and tortuosity factor), showing very good accuracy with respect to the DEM simulations. The DL model can remarkably capture the elastic recovery of the electrode upon compression (spring‐back phenomenon) and the main 3D electrode microstructure features without using the functional descriptors for its training. Furthermore, the DL model has a significantly lower computational cost than the DEM simulations, paving the way toward quasi‐real‐time optimization loops of the 3D electrode architecture predicting the calendering conditions to adopt in order to obtain the desired electrode performance.
Body size and three estimates of skeletal age: Relationships with strength and motor performance among male soccer players 9–12 and 13–16 years
Authors: Malina Robert M. , Freitas Duarte , Skrzypczak Mateusz , Konarski Jan M. 
Published: March 2024

AbstractObjectiveTo estimate the associations between height, weight, and three estimates of skeletal age (SA) and the strength and motor performance of male soccer players in two chronological age (CA) groups, 9–12 (n = 60) and 13–16 (n = 52) years.MethodsHeight, weight, strength (grip), speed (5 m, 20 m sprints), acceleration (time at crossing 10 m in 20 m sprint), agility (figure‐of‐eight run), power (vertical jump), and endurance (intermittent shuttle run) were measured. SA was assessed with the TW2 RUS, TW3 RUS, and Fels methods; each SA was expressed as the standardized residual of the regression of SA on CA (SAsr). Hierarchical multiple regression was used.ResultsBody size accounted for ≥50% of the variance in grip strength in both CA groups; the body size × SAsr for each method and SAsr alone added little to the explained variance. Body size, body size × SAsr interactions, and SAsr per se with each method accounted for small percentages of variance in motor tasks among players 9–12 years, while body size explained a larger proportion of variance in motor tasks (except the endurance run) among players 13–16 years; body size × SAsr interactions for TW2 and TW3 more so than Fels added to the explained variances. For the endurance run, only SAsr per se with each method accounted for significant portions of the variance.ConclusionBody size and the three estimates of SA significantly influenced strength and motor performance, but the explained variance varied between CA groups and among SA methods and performance tasks.
“Off‐Label Use” of the Siderophore Enterobactin Enables Targeted Imaging of Cancer with Radioactive Ti(IV)
Authors: Koller Angus J. , Glaser Owen , DeLuca Molly C. , Motz Rachel N. , Amason Edith K. , Carbo‐Bague Imma , Mixdorf Jason C. , Guzei Ilia A. , Aluicio‐Sarduy Eduardo , Śmiłowicz Dariusz , Barnhart Todd E. , Ramogida Caterina F. , Nolan Elizabeth M. , Engle Jonathan W. , Boros Eszter 
Published: March 2024

AbstractThe development of inert, biocompatible chelation methods is required to harness the emerging positron emitting radionuclide 45Ti for radiopharmaceutical applications. Herein, we evaluate the Ti(IV)‐coordination chemistry of four catechol‐based, hexacoordinate chelators using synthetic, structural, computational, and radiochemical approaches. The siderophore enterobactin (Ent) and its synthetic mimic TREN‐CAM readily form mononuclear Ti(IV) species in aqueous solution at neutral pH. Radiolabeling studies reveal that Ent and TREN‐CAM form mononuclear complexes with the short‐lived, positron‐emitting radionuclide 45Ti(IV), and do not transchelate to plasma proteins in vitro and exhibit rapid renal clearance in naïve mice. These features guide efforts to target the 45Ti isotope to prostate cancer tissue through the design, synthesis, and evaluation of Ent‐DUPA, a small molecule conjugate composed of a prostate specific membrane antigen (PSMA) targeting peptide and a monofunctionalized Ent scaffold. The [45Ti][Ti(Ent‐DUPA)]2− complex forms readily at room temperature. In a tumor xenograft model in mice, selective tumor tissue accumulation (8±5 %, n=5), and low off‐target uptake in other organs is observed. Overall, this work demonstrates targeted imaging with 45Ti(IV), provides a foundation for advancing the application of 45Ti in nuclear medicine, and reveals that Ent can be repurposed as a 45Ti‐complexing cargo for targeted nuclear imaging applications.
Impact of COVID‐19 lockdown in England on challenging behaviour and adaptive skills for children in a special school: A longitudinal study
Authors: Nicholls Gemma , Thompson Paul A. , Grindle Corinna F. , Hastings Richard P. 
Published: March 2024

AbstractLongitudinal research is crucial to fully assess the putative impact of the COVID‐19 pandemic on children with an intellectual disability in special school settings—ideally drawing on data pre‐pandemic to be able to evaluate later impact. Data on challenging behaviour and adaptive skills were collected annually for 348 students in one special school across four time points pre‐pandemic and one time point post‐pandemic. Data were analysed using multilevel models with repeated observations over the five time points. There was a decrease in aggressive and destructive behaviours and a decrease in adaptive skills at the post‐pandemic time point, after accounting for other important covariates. There was no evidence of a change in stereotyped or self‐injurious challenging behaviours. Other research using longitudinal methods is rare, but the current findings are consistent with previous research reporting on the impact of COVID‐19 on children and young people, particularly from parent reports. Future considerations for schools include adopting appropriate strategies to support learners to reintegrate back into education. Further research is needed to look at the longer‐term impact of the pandemic on challenging behaviour in children with an intellectual disability.
A novel n‐UV convertible colour‐tunable emitting oxynitride phosphor: Realization based on Ce3+‐Tb3+ energy transfer
Authors: You Huanhuan , Huang Xiaoyu , Zhang Xingda , Jin Piaopiao , Xu Zhaopeng , Zhai Jing , Gao Faming , Jia Yongchao 
Published: March 2024

AbstractIn the present work, a novel n‐UV convertible colour‐tunable emitting phosphor was obtained based on the efficient Ce3+‐Tb3+ energy transfer in the Y10Al2Si3O18N4 host. By properly controlling the ratio of Ce3+/Tb3+, the colour hue of the obtained powder covered the blue and green regions, under excitation of 365 nm. The steady‐state and dynamic‐state luminescence measurement was performed to shed light on the related mechanism, which was justified by the electronic dipole–quadrupole dominating the related energy transfer process. Preliminary studies showed that Y10Al2Si3O18N4:Ce3+,Tb3+ can be promising as an inorganic phosphor for white LED applications.
Reversible Influence of Hemipiperazine Photochromism on the Early Development of Zebrafish Embryo
Authors: Seliwjorstow Angelika , Takamiya Masanari , Rastegar Sepand , Pianowski Zbigniew 
Published: March 2024

AbstractThis study explores the potential of controlling organismal development with light by using reversible photomodulation of activity in bioactive compounds. Specifically, our research focuses on plinabulin 1, an inhibitor of tubulin dynamics that contains a photochromic motif called hemipiperazine. The two isomeric forms, Z‐1 and E‐1, can partially interconvert with light, yet show remarkable thermal stability in darkness. The Z‐isomer exhibits higher cytotoxicity due to stronger binding to α‐tubulin's colchicine site. The less toxic E‐1 form, considered a “pro‐drug”, can be isolated in vitro and stored. Upon activation by blue or cyan light, it predominantly generates the more toxic Z‐1 form. Here we demonstrate that 1 can effectively photomodulate epiboly, a critical microtubule‐dependent cell movement during gastrulation in zebrafish embryos. This research highlights the potential of photomodulation for precise and reversible control of cellular activities and organismal development.
Dry fractionation of Australian mungbean for sustainable production of value‐added protein concentrate ingredients
Authors: Skylas Daniel J. , Whiteway Chris , Johnson Joel B. , Messina Valeria , Kalitsis John , Cheng Shu , Langrish Timothy A. G. , Quail Ken J. 
Published: March 2024

AbstractBackground and ObjectivesDry fractionation, combining milling and air classification technology, offers an economical and sustainable pathway for the processing of value‐added protein ingredients from Australia's major pulse crops. Leveraging a wider range of pulses will help meet the growing demand for plant‐based protein ingredients. This study demonstrates the efficient processing of protein concentrates from Australian mungbean, which were characterized for key nutritional properties, phytochemical constituents, protein quality, and protein secondary structure.FindingsMilling and air classification of mungbean flour resulted in protein concentrates (fine fraction) with a protein content of 62.2 g/100 g (db), reflecting a two‐fold increase in protein content compared to the original flour (p < .05). Ash, fat, dietary fiber, and free phenolic and antioxidant compounds, also co‐concentrated with protein in the fine fraction (p < .05), imparting enhanced nutritional properties with the potential to deliver health benefits. The protein quality of dry fractionated mungbean protein concentrate was compared to a commercial source of mungbean protein isolate (88 g/100 g, [db]). Amino acid scores highlighted deficiencies in sulfur‐containing amino acids, methionine, and cysteine, as well as tryptophan and threonine. In vitro protein digestibility‐corrected amino acid scores for the mungbean protein concentrate and protein isolate were 63.7% and 59.5%, respectively. SDS‐PAGE protein profiles showed no major differences in protein composition, indicating that no specific types of proteins are lost during the dry fractionation process. Fourier transform infrared analysis of protein secondary structure showed that β‐sheets were the dominant structural component, with relative percentages of 36% and 49%, for the mungbean protein concentrate and isolate, respectively.ConclusionsThere is significant potential for dry fractionation to deliver value‐added opportunities for Australian mungbean, through the production of protein concentrate ingredients with enhanced nutritional properties for use in new and existing foods.Significance and NoveltyNutritional properties, protein quality, and protein secondary structure were compared for protein concentrates and protein isolates processed from Australian‐grown mungbean. Key findings from this study will inform pulse protein processors and pulse‐based food manufacturers.
Developing multifruit global near‐infrared model to predict dry matter based on just‐in‐time modeling
Authors: Mishra Puneet 
Published: March 2024

AbstractModeling near‐infrared (NIR) spectral data to predict fresh fruit properties is a challenging task. The difficulty lies in creating generalized models that can work on fruits of different cultivars, seasons, and even multiple commodities of fruit. Due to intrinsic differences in spectral properties, NIR models often fail in testing, resulting in high bias and prediction errors. One current solution for achieving generalized models is to use large calibration sets measured over multiple cultivars and harvest seasons. However, current practice primarily focuses on calibration sets for single fruit commodities, disregarding the rich information available from other fruit commodities. This study aims to demonstrate the potential of locally weighted partial least‐squares an example of just‐in‐time (JIT) modeling to develop real‐time models based on calibration sets consisting of multiple fruit commodities. The study also explores JIT modeling for leveraging relevant information from other fruit commodities or adapting the model based on new samples. The application demonstrated here predicts the dry matter in fresh fruit using portable NIR spectroscopy. The results show that JIT modeling is particularly effective for multiple fruit commodities in a single calibration set. The JIT models achieved a root mean squared error of prediction (RMSEP) of 0.69% fresh weight (FW), while the traditional partial least squares (PLS) modeling RMSEP was 0.93% FW. JIT modeling can be particularly beneficial when the user has multiple fruit datasets and wants to combine them into a single dataset to utilize all the relevant information available.