bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children
Authors: Finn Caroline E. , Han Gloria T. , Naples Adam J. , Wolf Julie M. , McPartland James C. 
Published: August 2023

AbstractElectroencephalographic peak alpha frequency (PAF) is a marker of neural maturation that increases with age throughout childhood. Distinct maturation of PAF is observed in children with autism spectrum disorder such that PAF does not increase with age and is instead positively associated with cognitive ability. The current study clarifies and extends previous findings by characterizing the effects of age and cognitive ability on PAF between diagnostic groups in a sample of children and adolescents with and without autism spectrum disorder. Resting EEG data and behavioral measures were collected from 45 autistic children and 34 neurotypical controls aged 8 to 18 years. Utilizing generalized additive models to account for nonlinear relations, we examined differences in the joint effect of age and nonverbal IQ by diagnosis as well as bivariate relations between age, nonverbal IQ, and PAF across diagnostic groups. Age was positively associated with PAF among neurotypical children but not among autistic children. In contrast, nonverbal IQ but not age was positively associated with PAF among autistic children. Models accounting for nonlinear relations revealed different developmental trajectories as a function of age and cognitive ability based on diagnostic status. Results align with prior evidence indicating that typical age‐related increases in PAF are absent in autistic children and that PAF instead increases with cognitive ability in these children. Findings suggest the potential of PAF to index distinct trajectories of neural maturation in autistic children.
Microtube embedded hydrogel bioprinting for vascularization of tissue‐engineered scaffolds
Authors: Chen Yan , Wang Liyuan , Wang Ying , Zhou Yingge 
Published: August 2023

AbstractVascular tissue engineering has been considered promising as one of the alternatives for viable artificial tissues and organs. Macro‐ and microscale hollow tubes fabricated with various techniques have been widely studied to mimic blood vessels. To date, the fabrication of biomimetic capillary vessels with sizes ranging from 1 to 10 µm is still challenging. In this paper, core‐sheath microtubes were electrospun to mimic capillary vessels and were embedded in carboxymethyl cellulose/sodium alginate hydrogel for bioprinting. The results showed improved printing fidelity and promoted cell attachment. The tube concentration and tube length both had significant influences on filament size and merging area. Printed groups with higher microtube concentration showed higher microtube density, with filament/nozzle size ratio, and printed/designed grid area ratio closer to 100%. In the in vitro experiments, microtubes were not only compatible with human umbilical vein endothelial cells but also provided microtopographical cues to promote cell proliferation and morphogenesis in three‐dimensional space. In summary, the microtubes fabricated by our groups have the potential for the bioprinting of vascularized soft tissue scaffolds.
Redesigning a course based undergraduate research experience for online delivery
Authors: Witucki Allison , Rudge David W. , Pleasants Brandy , Dai Peng , Beane Wendy S. 
Published: August 2023

AbstractThe COVID‐19 pandemic forced educators to teach in an online environment. This was particularly challenging for those teaching courses that are intended to support bench science research. This practitioner article tells the story of how an instructor transformed their Course‐based Undergraduate Research Experience (CURE) using the Backwards Design Method into a synchronous online course. Research objectives in this transformed course included: conducting a literature review, identifying research questions and hypotheses based on literature, and developing practical and appropriate research methodologies to test these hypotheses. We provide details on how assignments were created to walk students through the process of research study design and conclude with recommendations for the implementation of an online CURE. Recommendations made by the instructor include scaffolding the design, building opportunities for collaboration, and allowing students to fail in order to teach the value of iteration. The Backwards Design framework naturally lends itself to a scaffolded instructional approach. By identifying the learning objectives and final assessment, the learning activities can be designed to help students overcome difficult concepts by filling in the gaps with purposeful instruction and collaborative opportunities. This present course also practiced iteration through the extensive feedback offered by the instructor and opportunities for students to revise their work as their understanding deepened. Anecdotally, based on end of course reviews, students overall had a positive experience with this course. Future work will examine the efficacy of student learning in this online environment and is forthcoming.
Clinical outcomes in transplant‐eligible patients with relapsed or refractory diffuse large B‐cell lymphoma after second‐line salvage chemotherapy: A retrospective study
Authors: Yagi Yu , Kanemasa Yusuke , Sasaki Yuki , Sei Mina , Matsuo Takuma , Ishimine Kento , Hayashi Yudai , Mino Mano , Ohigashi An , Morita Yuka , Tamura Taichi , Nakamura Shohei , Okuya Toshihiro , Shimizuguchi Takuya , Shingai Naoki , Toya Takashi , Shimizu Hiroaki , Najima Yuho , Kobayashi Takeshi , Haraguchi Kyoko , Doki Noriko , Okuyama Yoshiki , Shimoyama Tatsu 
Published: August 2023

AbstractObjectiveThe prognosis of patients with relapsed or refractory (R/R) diffuse large B‐cell lymphoma (DLBCL) is poor. Although patients who fail first‐line salvage chemotherapy are candidates for second‐line salvage chemotherapy, the optimal treatment strategy for these patients has not yet been established.MethodsThe present, single‐center, retrospective study included transplant‐eligible patients with R/R DLBCL who received second‐line salvage chemotherapy with curative intent.ResultsSeventy‐six patients with R/R DLBCL received second‐line salvage chemotherapy. Eighteen (23.7%) patients were responders to the first‐line salvage chemotherapy. The overall response rate was 39.5%, and overall survival (OS) was significantly longer in patients who responded to second‐line salvage chemotherapy than those who did not. Forty‐one patients who proceeded to potentially curative treatment (autologous hematopoietic stem cell transplantation [ASCT], chimeric antigen receptor [CAR] T‐cell therapy, or allogeneic hematopoietic stem cell transplantation) had a better prognosis than those who did not. Among the 46 patients who failed to respond to the second‐line salvage regimen, only 18 (39.1%) could proceed to the curative treatments. However, among the 30 patients who responded to the second‐line salvage regimen, 23 (76.7%) received one of the potentially curative treatments. Among 34 patients who received CAR T‐cell therapy, OS was significantly longer in those who responded to salvage chemotherapy immediately prior to CAR T‐cell therapy than in those who did not respond. In contrast, the number of prior lines of chemotherapy was not identified as a statistically significant prognostic factor of survival. No significant difference was detected in OS between patients receiving ASCT and those receiving CAR T‐cell therapy after the response to second‐line salvage chemotherapy.DiscussionIn this study, we demonstrated that chemosensitivity remained a crucial factor in predicting survival outcomes following CAR T‐cell therapy irrespective of the administration timing, and that both ASCT and CAR T‐cell therapy were acceptable after the response to second‐line salvage chemotherapy.
Predicting cervical lymph node metastasis in OSCC based on computed tomography imaging genomics
Authors: Jin Nenghao , Qiao Bo , Zhao Min , Li Liangbo , Zhu Liang , Zang Xiaoyi , Gu Bin , Zhang Haizhong 
Published: August 2023

AbstractBackgroundTo investigate the correlation between computed tomography (CT) radiomic characteristics and key genes for cervical lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC).MethodsThe region of interest was annotated at the edge of the primary tumor on enhanced CT images from 140 patients with OSCC and obtained radiomic features. Ribonucleic acid (RNA) sequencing was performed on pathological sections from 20 patients. the DESeq software package was used to compare differential gene expression between groups. Weighted gene co‐expression network analysis was used to construct co‐expressed gene modules, and the KEGG and GO databases were used for pathway enrichment analysis of key gene modules. Finally, Pearson correlation coefficients were calculated between key genes of enriched pathways and radiomic features.ResultsFour hundred and eighty radiomic features were extracted from enhanced CT images of 140 patients; seven of these correlated significantly with cervical LNM in OSCC (p < 0.01). A total of 3527 differentially expressed RNAs were screened from RNA sequencing data of 20 cases. original_glrlm_RunVariance showed significant positive correlation with most long noncoding RNAs.ConclusionsOSCC cervical LNM is related to the salivary hair bump signaling pathway and biological process. Original_glrlm_RunVariance correlated with LNM and most differentially expressed long noncoding RNAs.
Effects of the Magnetic Orientation of M13 Bacteriophage on Phage Display Selection
Authors: Wang Shuxu , Uchida Noriyuki , Ueno Kento , Matsubara Teruhiko , Sato Toshinori , Aida Takuzo , Ishida Yasuhiro 
Published: August 2023

AbstractAlthough phage display selection using a library of M13 bacteriophage has become a powerful tool for finding peptides that bind to target materials on demand, a remaining concern of this method is the interference by the M13 main body, which is a huge filament >103 times larger than the displayed peptide, and therefore would nonspecifically adhere to the target or sterically inhibit the binding of the displayed peptide. Meanwhile, filamentous phages are known to be orientable by an external magnetic field. If M13 filaments are magnetically oriented during the library selection, their angular arrangement relative to the target surface would be changed, being expected to control the interference by the M13 main body. This study reports that the magnetic orientation of M13 filaments vertical to the target surface significantly affects the selection. When the target surface was affinitive to the M13 main body, this orientation notably suppressed the nonspecific adhesion. Furthermore, when the target surface was less affinitive to the M13 main body and intrinsically free from the nonspecific adhesion, this orientation drastically changed the population of M13 clones obtained through library selection. The method of using no chemicals but only a physical stimulus is simple, clean, and expected to expand the scope of phage display selection.
Synthesis of Photochromic Phosphines by Pd‐Catalyzed Annulation Reaction of Alkynes Bearing Phosphinyl Substituent with a Silacyclopropene
Authors: Selvaraj Akshitha , Cordier Marie , Devillard Marc , Alcaraz Gilles 
Published: August 2023

AbstractThe synthesis of phosphines with light controlled basicity is presented in this study. A methodological approach for the preparation of these unconventional photochromic phosphines based on a dithienylethene organic moiety is reported. It relies on the palladium‐catalyzed annulation of alkynyl phosphines in the presence of a 2,3‐Dithienylsilacyclopropene. Accordingly, a diphenyphosphino moiety is connected to the organic photochrome thanks to different linkers. Their influence on the photochromism and on the phosphinyl group basicity is studied and evaluated based on experimental an NMR descriptor as well as DFT calculations.
Understanding the mechanism of environmental, social, and governance impact on enterprise performance in the context of sustainable development
Authors: Shi Xiao Kun , Zhang Quan Meng 
Published: August 2023

AbstractIn transitional economies characterized by digital finance and uncertainty, the environmental, social, and governance (ESG) impact on enterprise performance has become a core issue in the sustainable development of enterprises. The existing literature does not pay attention to the simultaneous existence of digital finance and economic policy uncertainty in transition countries such as China. This paper introduces ESG as intangible capital into the Cobb–Douglas production function, considers the impact of digital finance and economic policy uncertainty, establishes a theoretical analysis framework, and empirically tests the impact of ESG on enterprise performance using panel data of 1688 listed companies in China from 2011 to 2020. The results reveal that ESG promotes enterprise performance; digital finance strengthens the positive impact of ESG on enterprise performance, and increased economic policy uncertainty strengthens the positive moderating effect of digital finance. Heterogeneity analysis reveals that the impact of ESG on enterprise performance and the moderating effect of digital finance are significant in both the eastern region and the central and western regions, but the former performs better when economic policy uncertainty increases. The research conclusion provides a policy reference for selecting appropriate digital finance policies to promote the sustainable development of enterprises with ESG as the core.
Detection of fish sedimentary DNA in aquatic systems: A review of methodological challenges and future opportunities
Authors: Huston Grayson P. , Lopez Mark Louie D. , Cheng Yuanyu , King Leighton , Duxbury Lucinda C. , Picard Maïlys , Thomson‐Laing Georgia , Myler Erika , Helbing Caren C. , Kinnison Michael T. , Saros Jasmine E. , Gregory‐Eaves Irene , Monchamp Marie‐Eve , Wood Susanna A. , Armbrecht Linda , Ficetola Gentile Francesco , Kurte Lenka , Von Eggers Jordan , Brahney Janice , Parent Genevieve , Sakata Masayuki K. , Doi Hideyuki , Capo Eric 
Published: August 2023

AbstractEnvironmental DNA studies have proliferated over the last decade, with promising data describing the diversity of organisms inhabiting aquatic and terrestrial ecosystems. The recovery of DNA present in the sediment of aquatic systems (sedDNA) has provided short‐ and long‐term data on a wide range of biological groups (e.g., photosynthetic organisms, zooplankton species) and has advanced our understanding of how environmental changes have affected aquatic communities. However, substantial challenges remain for recovering the genetic material of macro‐organisms (e.g., fish) from sediments, preventing complete reconstructions of past aquatic ecosystems, and limiting our understanding of historic, higher trophic level interactions. In this review, we outline the biotic and abiotic factors affecting the production, persistence, and transport of fish DNA from the water column to the sediments, and address questions regarding the preservation of fish DNA in sediment. We identify sources of uncertainties around the recovery of fish sedDNA arising during the sedDNA workflow. This includes methodological issues related to experimental design, DNA extraction procedures, and the selected molecular method (quantitative PCR, digital PCR, metabarcoding, metagenomics). By evaluating previous efforts (published and unpublished works) to recover fish sedDNA signals, we provide suggestions for future research and propose troubleshooting workflows for the effective detection and quantification of fish sedDNA. With further research, the use of sedDNA has the potential to be a powerful tool for inferring fish presence over time and reconstructing their population and community dynamics.
Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection
Authors: Raza Asif , Alshehri Mohammed S. , Almakdi Sultan , Siddique Ali Akbar , Alsulami Mohammad , Alhaisoni Majed 
Published: August 2023

AbstractBrain tumors pose a serious neurological threat to human life, necessitating improved detection and classification methods. Deep transfer learning (TL), in particular in key tumor categories such as meningioma, pituitary, glioma, and instances without tumors, has shown to be a new and successful method for tumor identification and classification. In this work, the efficacy of two pre‐trained TL methods—Inceptionv3 and DenseNet121—was examined for correctly classifying certain kinds of brain tumors. The experimental findings show that the DenseNet‐121 model, using the TL approach, performed better than other models in terms of accuracy for the identification and classification of brain tumors. The classification test results were impressive, with DenseNet‐121 reaching an astounding 99.95% accuracy and precision, recall, and F1‐measure scores of 97.7%, 92.1%, and 94.8%, respectively. DenseNet‐121 demonstrated 100% and 92.42% training and validation accuracies, respectively, highlighting its potential as an effective and precise diagnosis tool for brain malignancies.
Toward a correct treatment of core properties with local hybrid functionals
Authors: Haasler Matthias , Maier Toni M. , Kaupp Martin 
Published: August 2023

AbstractIn local hybrid functionals (LHs), a local mixing function (LMF) determines the position‐dependent exact‐exchange admixture. We report new LHs that focus on an improvement of the LMF in the core region while retaining or partly improving upon the high accuracy in the valence region exhibited by the LH20t functional. The suggested new pt‐LMFs are based on a Padé form and modify the previously used ratio between von Weizsäcker and Kohn–Sham local kinetic energies by different powers of the density to enable flexibly improved approximations to the correct high‐density and iso‐orbital limits relevant for the innermost core region. Using TDDFT calculations for a set of K‐shell core excitations of second‐ and third‐period systems including accurate state‐of‐the‐art relativistic orbital corrections, the core part of the LMF is optimized, while the valence part is optimized as previously reported for test sets of atomization energies and reaction barriers (Haasler et al., J Chem Theory Comput 2020, 16, 5645). The LHs are completed by a calibration function that minimizes spurious nondynamical correlation effects caused by the gauge ambiguities of exchange‐energy densities, as well as by B95c meta‐GGA correlation. The resulting LH23pt functional relates to the previous LH20t functional but specifically improves upon the core region.
Interactive response and spatial heterogeneity of alpine grassland biodiversity to soil, topography, climate, and human factors on the Qinghai‐Tibet Plateau
Authors: Sun Yongxiu , Liu Shiliang , Liu Chao , Sun Jian , Liu Yixuan , Wang Fangfang 
Published: August 2023

AbstractThe alpine grassland ecosystem is a critical part of the Qinghai‐Tibet Plateau (QTP), mainly including alpine meadows and alpine steppes. However, the influence factors of alpine grassland biodiversity are not clear for different alpine grassland types. In this study, pathway analysis was applied to explore the influences of soil, topography, climate, and human factors on alpine grassland biodiversity. Then, by using the geographically weighted regression (GWR) model, the spatial sensitivity response of alpine grassland biodiversity to soil, topography, climate, and human activities was revealed in different grassland types. The results were as follows: (1) The data and pathway analysis passed the validity and reliability analysis, indicating that the model fit of alpine grassland biodiversity was good for different grassland types. (2) For alpine meadows, the total effect coefficients of altitude, slope, and topographic wetness index (TWI) on normalized difference vegetation index (NDVI) (net primary productivity [NPP]) were 0.50, 0.21, and −0.48 (0.59, 0.17, and −0.41), respectively, suggesting that altitude had the strongest and positive effect on alpine meadow diversity. In addition, among human activity and climate variables, human activity intensity and precipitation exhibited significant effects on NDVI (NPP), with total effect coefficients of −0.17 and 0.61 (−0.19 and 0.63). The influence of soil, topography, climate, and human variables on alpine steppe diversity showed similarities with alpine meadow diversity. (3) Alpine grassland biodiversity was directly and indirectly influenced by multiple driving factors for different grassland types. The total coefficients of soil, topography, climate, and human factors on NDVI (NPP) were 0.41, 0.38, −0.21, and 0.71 (0.32, 0.50, −0.21, and 0.91), respectively, which indicated that alpine meadow diversity was mainly regulated by climate on the QTP, consistent with alpine steppe diversity. (4) For different grassland types, the spatial effects of various driving factors on alpine grassland biodiversity all showed significant spatial heterogeneity at the grid scale. Based on the knowledge about the driving mechanism and spatial response of alpine grassland biodiversity to its driving factors in different grassland types of the QTP, we aim to provide guidance for alpine grassland biodiversity conservation and rational ecosystem management.
Dependency of Arctic zooplankton on pelagic food sources: New insights from fatty acid and stable isotope analyses
Authors: Kohlbach Doreen , Lebreton Benoit , Guillou Gaёl , Wold Anette , Hop Haakon , Graeve Martin , Assmy Philipp 
Published: August 2023

AbstractGlobal warming causes dramatic environmental change to Arctic ecosystems. While pelagic primary production is initiated earlier and its intensity can be increased due to earlier ice melt and extended open‐water periods, sea‐ice primary production is progressively confined on a spatio‐temporal scale, leading to unknown consequences for the ice‐associated (sympagic) food web. Understanding ecological responses to changes in the availability and composition of pelagic and sympagic food sources is crucial to determine potential changes of food‐web structure and functioning in Arctic marine communities under increasingly ice‐free conditions. Focus was placed on the importance of suspended particulate organic matter vs. sympagic organic matter for 12 zooplankton species with different feeding modes covering five taxonomic groups (copepods, krill, amphipods, chaetognaths, and appendicularians) at two ice‐covered, but environmentally different, stations in the north‐western Barents Sea in August 2019. Contributions of diatom‐ and flagellate‐associated fatty acids (FAs) to total lipid content and carbon stable isotopic compositions of these FAs were used to discriminate food sources and trace flows of organic matter in marine food webs. Combination of proportional contributions of FA markers with FA isotopic composition indicated that consumers mostly relied, directly (herbivorous species), or indirectly (omnivorous and carnivorous species), on pelagic diatoms and flagellates, independently of environmental conditions at the sampling locations, trophic position, and feeding mode. Differences were nevertheless observed between species. Contrary to other studies demonstrating a high importance of sympagic organic matter for food‐web processes, our results highlight the complexity and variability of trophic structures and dependencies in different Arctic food webs.