bluuebunny/crossref_metadata_2025_split huggingface dataset:
Herausforderungen und Perspektiven bei der BIM‐Planung von Brücken – das Beispiel der Geh‐ und Radwegüberführung Riederwald
Authors: Malcher Andreas , Saliba Alain , Wolgast Eric 
Published: June 2023

AbstractDer geplante Lückenschluss zwischen der A66 und der A661 wird den östlichen Bereich der Stadt Frankfurt am Main in erheblichem Umfang von Lärm und Abgasen entlasten. Um diese Maßnahme realisieren zu können, sind div. Brückenbauten erforderlich. Eine dieser Brücken ist die geplante Geh‐ und Radwegüberführung über die sechsspurige A66. Die von Werner Sobek entworfene Brücke besteht aus einem leicht geschwungenen Mittelteil aus Stahl, welches integral mit ausgerundeten Widerlagern aus Stahlbeton verbunden ist. Die leichte und elegante Konstruktion spannt frei über eine Länge von 53 m bei einer Konstruktionshöhe von nur 1,2 m (l/h = 44). Die Montage der Brücke erfolgt nach Inbetriebnahme des Autobahnabschnitts, den sie überquert. Die Autobahn GmbH des Bundes möchte als Auftraggeberin für Infrastrukturprojekte das Building Information Modeling (BIM) von Infrastrukturprojekten gemäß Masterplan des Bundesministeriums für Digitales und Verkehr (BMDV) etablieren. Das Brückenbauwerk und die anschließenden Dämme ebenso wie das angrenzende Wellstahlbauwerk wurden deshalb in BIM geplant. Durch die Integration der Fachmodelle „Bauwerk“, „Gelände“, „Verkehrsanlage“ und „Baugrund“ konnten die Schnittstellen zwischen den einzelnen Fachgewerken direkt im 3D‐Modell koordiniert werden. Die von der Autobahn GmbH genutzte Software EPLASS wurde als Plattform für den Datenaustausch verwendet. Als virtueller Projektraum kam die Kollaborationsplattform BIMcollab zum Einsatz.
A method for generating user‐defined circular single‐stranded DNA from plasmid DNA using Golden Gate intramolecular ligation
Authors: Strawn Isabell K. , Steiner Paul J. , Newton Matilda S. , Baumer Zachary T. , Whitehead Timothy A. 
Published: June 2023

AbstractConstruction of user‐defined long circular single stranded DNA (cssDNA) and linear single stranded DNA (lssDNA) is important for various biotechnological applications. Many current methods for synthesis of these ssDNA molecules do not scale to multikilobase constructs. Here we present a robust methodology for generating user‐defined cssDNA employing Golden Gate assembly, a nickase, and exonuclease degradation. Our technique is demonstrated for three plasmids with insert sizes ranging from 2.1 to 3.4 kb, requires no specialized equipment, and can be accomplished in 5 h with a yield of 33%–43% of the theoretical. To produce lssDNA, we evaluated different CRISPR‐Cas9 cleavage conditions and reported a 52 ± 8% cleavage efficiency of cssDNA. Thus, our current method does not compete with existing protocols for lssDNA generation. Nevertheless, our protocol can make long, user‐defined cssDNA readily available to biotechnology researchers.
Scaffold‐based spheroid models of glioblastoma multiforme and its use in drug screening
Authors: Manikandan Ceera , Jaiswal Amit Kumar 
Published: June 2023

AbstractAmong several types of brain cancers, glioblastoma multiforme (GBM) is a terminal and aggressive disease with a median survival of 15 months despite the most intensive surgery and chemotherapy. Preclinical models that accurately reproduce the tumor microenvironment are vital for developing new therapeutic alternatives. Understanding the complicated interactions between cells and their surroundings is essential to comprehend the tumor's microenvironment, however the monolayer cell culture approach falls short. Numerous approaches are used to develop GBM cells into tumor spheroids, while scaffold‐based spheroids provides the opportunity to investigate the synergies between cells as well as cells and the matrix. This review summarizes the development of various scaffold‐based GBM spheroid models and the prospective for their use as drug testing systems.
Facial attractiveness in the eyes of men with high arousal
Authors: Han Shangfeng , Gao Jie , Xing Wenjuan , Zhou Xinyi , Luo Yuejia 
Published: June 2023

AbstractIntroductionIndividuals differ in how they judge facial attractiveness. However, little is known about the role of arousal level and gender differences in individuals’ facial attractiveness judgments.MethodsWe used resting‐state electroencephalogram (EEG) to investigate this issue. A total of 48 men (aged 22.5 ± 3.03 years [mean ± SD], range: 18–30 years) and 27 women (aged 20.3 ± 2.03 years [mean ± SD], range: 18–25 years) participated in the experiment. After the EEG was collected, participants were instructed to complete a facial attractiveness judgment task. Connectome‐based predictive modeling was used to predict individual judgment of facial attractiveness.ResultsMen with high arousal judged female faces as more attractive (M = 3.85, SE = 0.81) than did men with low arousal (M = 3.33, SE = 0.81) and women (M = 3.24, SE = 1.02). Functional connectivity of the alpha band predicted judgment of female facial attractiveness in men but not in women. After controlling for the age and variability, the prediction effect was still significant.ConclusionOur results provide neural evidence for the enhancement of the judgment of facial attractiveness in men with high arousal levels, which supports the hypothesis that individuals’ spontaneous arousal contributes to variations in facial attractiveness preferences.
An overview of equity‐driven and social justice‐oriented leadership in community colleges
Authors: Hartman Catherine , Burmicky Jorge 
Published: June 2023

AbstractIn this chapter, we discuss the significance of social justice and equity in community college leadership. By examining the intersections between social justice and equity, we sought to understand the role that community college leaders play in applying these approaches. To contextualize our discussion, we outlined key challenges that community college leaders face in developing and implementing these equity‐driven and social justice‐oriented practices. This chapter serves as an introduction to the New Directions in Community Colleges volume dedicated to operationalizing and applying equity and social justice‐driven leadership in community colleges.
Transforming developmental education at community colleges through equity‐minded leadership
Authors: Hernández Susana H. , McKinney Lyle , Burridge Andrea , O'Brien Catherine A. 
Published: June 2023

AbstractThe corequisite support model is a promising developmental education reform effort that is helping students transition into college‐level coursework more quickly. The purpose of this chapter is to shed light on the critical leadership that has enhanced student success in corequisite courses and hold promise in enhancing equity within developmental education. The findings presented in this chapter are based on data from a multi‐year, mixed‐methods research project conducted at Urban Community College (UCC, a pseudonym) in Texas. We utilize equity‐mindedness as a framework for understanding and operationalizing critical leadership at the community college. We focused not on students’ academic abilities, but what faculty and administrative leaders are actively doing to support students in corequisite courses. We specifically draw attention to the exceptional leadership practices of faculty as instructors and administrators who are effective at facilitating success among racially minoritized students and students from low‐income families who are placed in developmental education.
Institutional responses to state policy: Using student voice to prioritize equity
Authors: Jeffers Misti R. , Collom Gresham D. , Cooper Ashton R. 
Published: June 2023

AbstractThis chapter aims to extend conversations around educational equity by emphasizing the role of community college contexts as a mediator between policy reform and student experience. Narratives of Tennessee (TN) Reconnect Grant recipients indicate that community college contexts related to advising and student support services and enrollment, transfer, and financial aid structures stand out as critical aspects for how TN Reconnect students engage once on campus. We pose recommendations for community colleges and community college leaders to better serve their adult students.
Effect of Reaction Conditions on the Coprecipitation of Ni(OH)2 for Lithium‐Ion Batteries
Authors: Tynjälä Pekka , Laine Petteri , Välikangas Juho , Kauppinen Toni , Lassi Ulla 
Published: June 2023

AbstractElectrochemical performance of cathode active materials (CAMs) is dependent on the properties of coprecipitated precursors (pCAMs). This is a sensitive process affected by several reaction parameters such as temperature, pH, concentration of reactants, agitation rate, and residence time. In this paper, the effect of parameters influencing the particle size growth and the physical properties, such as particle morphology and tapped density, was studied in the coprecipitation of Ni(OH)2. Formation of a homogeneous population with narrow particle size distribution was observed, followed by a more heterogeneous population of dense particles. Ammonia concentration and residence time had significant effects on particle size growth and morphology, but agitation rate also had an impact.
Coarse‐grained simulations of von Willebrand factor adsorption to collagen with consequent platelet recruitment
Authors: Tsyu Noel G. , Belyaev Aleksey V. 
Published: June 2023

AbstractA multimeric glycoprotein of blood plasma—Von Willebrand factor (VWF)—mediates platelet adhesion to the fibrillar collagen of the subendothelial matrix if the blood vessel walls are damaged. The adsorption of VWF to collagen is thus essential for the initial stages of platelet hemostasis and thrombosis, as it plays a role of a molecular bridge between the injury and platelet adhesion receptors. Biomechanical complexity and sensitivity to the hydrodynamics are inherent in this system, therefore, modern computational methods supplement experimental studies of biophysical and molecular mechanisms that underlie platelet adhesion and aggregation in the blood flow. In the present paper, we propose a simulation framework for the VWF‐mediated platelet adhesion to a plane wall with immobilized binding sites for VWF under the action of shear flow. VWF multimers and platelets are represented in the model by particles connected by elastic bonds and immersed in a viscous continuum fluid. This work complements the scientific field by taking into account the shape of a flattened platelet, but keeping a compromise between the detail of the description and the computational complexity of the model.
Robust immunity to influenza vaccination in haematopoietic stem cell transplant recipients following reconstitution of humoral and adaptive immunity
Authors: Zhang Wuji , Rowntree Louise C , Muttucumaru Ramona , Damelang Timon , Aban Malet , Hurt Aeron C , Auladell Maria , Esterbauer Robyn , Wines Bruce , Hogarth Mark , Turner Stephen J , Wheatley Adam K , Kent Stephen J , Patil Sushrut , Avery Sharon , Morrissey Orla , Chung Amy W , Koutsakos Marios , Nguyen Thi HO , Cheng Allen C , Kotsimbos Tom C , Kedzierska Katherine 
Published: June 2023

AbstractObjectivesInfluenza causes significant morbidity and mortality, especially in high‐risk populations. Although current vaccination regimens are the best method to combat annual influenza disease, vaccine efficacy can be low in high‐risk groups, such as haematopoietic stem cell transplant (HSCT) recipients.MethodsWe comprehensively assessed humoral immunity, antibody landscapes, systems serology and influenza‐specific B‐cell responses, together with their phenotypes and isotypes, to the inactivated influenza vaccine (IIV) in HSCT recipients in comparison to healthy controls.ResultsInactivated influenza vaccine significantly increased haemagglutination inhibition (HAI) titres in HSCT recipients, similar to healthy controls. Systems serology revealed increased IgG1 and IgG3 antibody levels towards the haemagglutinin (HA) head, but not to neuraminidase, nucleoprotein or HA stem. IIV also increased frequencies of total, IgG class‐switched and CD21loCD27+ influenza‐specific B cells, determined by HA probes and flow cytometry. Strikingly, 40% of HSCT recipients had markedly higher antibody responses towards A/H3N2 vaccine strain than healthy controls and showed cross‐reactivity to antigenically drifted A/H3N2 strains by antibody landscape analysis. These superior humoral responses were associated with a greater time interval after HSCT, while multivariant analyses revealed the importance of pre‐existing immune memory. Conversely, in HSCT recipients who did not respond to the first dose, the second IIV dose did not greatly improve their humoral response, although 50% of second‐dose patients reached a seroprotective HAI titre for at least one of vaccine strains.ConclusionsOur study demonstrates efficient, although time‐dependent, immune responses to IIV in HSCT recipients, and provides insights into influenza vaccination strategies targeted to immunocompromised high‐risk groups.
Translational Bioethics and Public Input
Authors: Evans John H. 
Published: June 2023

ABSTRACTTranslational science is justified as advancing the public's interests but has no mechanism for determining these interests. Standard social science approaches would produce either unrepresentative descriptions or a cacophony of data not easily condensed into a concrete conclusion about moving forward with a translational‐science project. Here, I propose that the simplifying and structuring ethics employed by institutional review boards (IRBs) be used to create social science reports of the four to six most prominent values or principles of the public regarding a biotechnology. A board of bioethicists would weigh and balance these values to conclude whether the public supports a given translational‐science innovation.
A few good reasons to use nanobodies for cancer treatment
Authors: Jumapili Neema Ahishakiye , Zivalj Maida , Barthelmess Romina Mora , Raes Geert , De Groof Timo W. M. , Devoogdt Nick , Stijlemans Benoît , Vincke Cécile , Van Ginderachter Jo A. 
Published: June 2023

AbstractmAbs have been instrumental for targeted cancer therapies. However, their relatively large size and physicochemical properties result in a heterogenous distribution in the tumor microenvironment, usually restricted to the first cell layers surrounding blood vessels, and a limited ability to penetrate the brain. Nanobodies are tenfold smaller, resulting in a deeper tumor penetration and the ability to reach cells in poorly perfused tumor areas. Nanobodies are rapidly cleared from the circulation, which generates a fast target‐to‐background contrast that is ideally suited for molecular imaging purposes but may be less optimal for therapy. To circumvent this problem, nanobodies have been formatted to noncovalently bind albumin, increasing their serum half‐life without majorly increasing their size. Finally, nanobodies have shown superior qualities to infiltrate brain tumors as compared to mAbs. In this review, we discuss why these features make nanobodies prime candidates for targeted therapy of cancer.
A New Epigenetic Crosstalk: Chemical Modification Information Flow
Authors: Lee Hongwoo , Park Young‐Joon , Seo Pil Joon 
Published: June 2023

AbstractCentral dogma is the most fundamental hypothesis in the field of molecular biology and explains the genetic information flow from DNA to protein. Beyond residue‐by‐residue transmission of sequential information, chemical modifications of DNA, RNA, and protein are also relayed in the course of gene expression. Here, this work presents recent evidence supporting bidirectional interplay between chromatin modifications and RNA modifications. Furthermore, several RNA modifications likely affect chemical modifications of proteins. The relay of chemical modifications occurs co‐transcriptionally or co‐translationally, ensuring crosstalk among chemical modifications at the DNA, RNA, and protein levels. Overall, this work proposes a hypothetical framework that represents transmission of chemical modification information among chromatin, RNA, and proteins.
Small extracellular vesicles derived from human adipose‐derived mesenchymal stromal cells cultured in a new chemically‐defined contaminate‐free media exhibit enhanced biological and therapeutic effects on human chondrocytes in vitro and in a mouse osteoarthritis model
Authors: Hanai Hiroto , Hart David A. , Jacob George , Shimomura Kazunori , Ando Wataru , Yoshioka Yusuke , Ochiya Takahiro , Nakagawa Shinicihi , Nakamura Masato , Okada Seiji , Nakamura Norimasa 
Published: June 2023

AbstractHuman small extracellular vesicles (sEVs) derived from adipose‐derived mesenchymal stromal cells (ASC) have been reported to suppress the progression of osteoarthritis (OA) in animal studies and subsequently, translation of this potential to assess their clinical efficacy is anticipated. However, fabrication protocols for sEVs to eliminate potential contamination by culture medium‐derived components need to be established prior to their clinical use. The purpose of the present studies was to elucidate the influence of medium‐derived contaminants on the biological effects of sEVs, and to establish isolation methods for sEVs using a new clinical grade chemically‐defined media (CDM). The quantity and purity of ASC‐derived sEVs cultured in four different CDMs (CDM1, 2, 3 and 4) were evaluated. The concentrates of the four media incubated without cells were used as the background (BG) control for each set of sEVs. The biological effect of sEVs fabricated in the four different CDMs on normal human articular chondrocytes (hACs) were evaluated in vitro using a variety of methodological assessments. Finally, the sEVs with the highest purity were tested for their ability to suppress the progression of knee OA mouse model. Analysis of the BG controls revealed that CDM1‐3 contained detectable particles, while there was no visible contamination of culture media‐derived components detected with CDM4. Accordingly, the sEVs fabricated with CDM4 (CDM4‐sEVs) exhibited the highest purity and yield. Notably, the CDM4‐sEVs were the most efficient in promoting the cellular proliferation, migration, chondrogenic differentiation, and anti‐apoptotic activity of hACs. Furthermore, CDM4‐sEVs significantly suppressed the osteochondral degeneration in vivo model. Small EVs derived from ASCs cultured in a CDM without detectable contaminants demonstrated enhanced biological effects on hACs and the progression of OA. Thus, sEVs isolated with CDM4 most optimally meet the requirements of efficacy and safety for assessment in their future clinical applications.
Deep Learning‐Based Multiparametric MRI Model for Preoperative T‐Stage in Rectal Cancer
Authors: Wei Yaru , Wang Haojie , Chen Zhongwei , Zhu Ying , Li Yingfa , Lu Beichen , Pan Kehua , Wen Caiyun , Cao Guoquan , He Yun , Zhou Jiejie , Pan Zhifang , Wang Meihao 
Published: June 2023

BackgroundConventional MRI staging can be challenging in the preoperative assessment of rectal cancer. Deep learning methods based on MRI have shown promise in cancer diagnosis and prognostication. However, the value of deep learning in rectal cancer T‐staging is unclear.PurposeTo develop a deep learning model based on preoperative multiparametric MRI for evaluation of rectal cancer and to investigate its potential to improve T‐staging accuracy.Study TypeRetrospective.PopulationAfter cross‐validation, 260 patients (123 with T‐stage T1‐2 and 134 with T‐stage T3‐4) with histopathologically confirmed rectal cancer were randomly divided to the training (N = 208) and test sets (N = 52).Field Strength/Sequence3.0 T/Dynamic contrast enhanced (DCE), T2‐weighted imaging (T2W), and diffusion‐weighted imaging (DWI).AssessmentThe deep learning (DL) model of multiparametric (DCE, T2W, and DWI) convolutional neural network were constructed for evaluating preoperative diagnosis. The pathological findings served as the reference standard for T‐stage. For comparison, the single parameter DL‐model, a logistic regression model composed of clinical features and subjective assessment of radiologists were used.Statistical TestsThe receiver operating characteristic curve (ROC) was used to evaluate the models, the Fleiss' kappa for the intercorrelation coefficients, and DeLong test for compare the diagnostic performance of ROCs. P‐values less than 0.05 were considered statistically significant.ResultsThe Area Under Curve (AUC) of the multiparametric DL‐model was 0.854, which was significantly higher than the radiologist's assessment (AUC = 0.678), clinical model (AUC = 0.747), and the single parameter DL‐models including T2W‐model (AUC = 0.735), DWI‐model (AUC = 0.759), and DCE‐model (AUC = 0.789).Data ConclusionIn the evaluation of rectal cancer patients, the proposed multiparametric DL‐model outperformed the radiologist's assessment, the clinical model as well as the single parameter models. The multiparametric DL‐model has the potential to assist clinicians by providing more reliable and precise preoperative T staging diagnosis.Evidence Level3Technical EfficacyStage 2
A 4‐Arm PEG‐Thiodepsipeptide Precursor Enables Gelatinase‐Promoted Hydrogel Formation
Authors: Folikumah Makafui Y. , Behl Marc , Lendlein Andreas , Neffe Axel T. 
Published: June 2023

AbstractIn situ hydrogelation of injectable precursors upon biological stimulus is relevant to generate hydrogels under mild conditions and, potentially, at a biological side of interest. Here, it is shown that hydrolytic enzymes can be used to initiate the formation of covalent hydrogel networks, realizing a cleavage‐leading‐to‐gelation strategy. For this purpose, a two‐component system is used, consisting of a 4‐arm polyethylene glycol‐thiodepsipeptide conjugate, PEG4TDPo containing the matrix metalloproteinases MMP‐2‐ and MMP‐9‐cleavable Ac‐Pro‐Leu‐Gly#SLeu‐Leu‐Gly‐ thiodepsipeptide sequence releasing a thiol upon hydrolysis, and a maleimide functionalized 4‐armed PEG (PEG4MAL). PEG4TDPo is synthesized in a PEG‐functionalization protocol involving convergent and divergent synthetic steps without the need for rigorous purification procedures. In a fluorometric assay, it is shown that the construct is in fact cleaved by both investigated MMPs. PEG4TDPo in the presence of 10 wt.% PEG4MAL formed hydrogels upon addition of MMP‐2 or ‐9 with average gelation times of 28 and 40 min, respectively, as is investigated by rheology. The much faster gelation times compared to the enzyme‐free system showed the specific input of the enzymatic reactions. The MMP‐assisted activation and crosslinking strategy can potentially become useful by targeting tissues showing an increased expression of MMPs, such as cancers, or to detect MMPs.
Effects of digital economy on social entrepreneurship: Evidence from China
Authors: Li Bin 
Published: June 2023

AbstractSocial entrepreneurship provides novel entrepreneurial solutions for complex social and environmental problems. Research on the antecedents of social entrepreneurship has emphasized the importance of sociocultural and economic factors; however, little is known about the influence of the digital economy in this context. Integrating the digital economy studies and social entrepreneurship studies for the first time, we propose that the development of the digital economy contributes to the growth of regional social enterprises. We further predict that the effect of the digital economy on social entrepreneurship is mediated by the improvement of regional government activism and regional innovation capability. This study contributes to the literature about the antecedents of social entrepreneurship and effect of the digital economy. This study also provides some practical recommendations for promoting digital technology for the good and stimulating social entrepreneurship with the power of the digital economy.