bluuebunny/crossref_metadata_2025 huggingface dataset:
Chemical Characterization of Cider Produced in Hardanger—From Juice to Finished Cider
Authors: Øvsthus Ingunn , Martelanc Mitja , Albreht Alen , Radovanović Vukajlović Tatjana , Česnik Urban , Mozetič Vodopivec Branka
Published: August 2024

Our investigation delves into the previously uncharted territory of cider composition from Norway. This study aimed to obtain an overview of the qualitative and quantitative compositions of general chemical parameters, polyphenols (individual and total expressed as gallic acids equivalents), selected esters, and selected C6-alcohols in ciders with the PDO label Cider from Hardanger. In total, 45 juice and cider samples from the fermentation process were collected from 10 cider producers in Hardanger in 2019, 2020, and 2021. Individual sugars, acids, ethanol, and 13 individual phenols were quantified using HPLC-UV/RI. Seven ethyl esters of fatty acids, four ethyl esters of branched fatty acids, ten acetate esters, two ethyl esters of hydroxycinnamic acids, and four C6-alcohols were quantified using HS-SPME-GC-MS. For samples of single cultivars (‘Aroma’, ‘Discovery’, ‘Gravenstein’, and ‘Summerred’), the sum of the measured individual polyphenols in the samples ranges, on average, from 79 to 289 mg L−1 (the lowest for ‘Summerred’ and highest for ‘Discovery’ and ‘Gravenstein’). Chlorogenic acid was the most abundant polyphenol in all samples. Ethyl butyrate, ethyl hexanoate, ethyl octanoate, ethyl decanoate, ethyl isobutyrate, ethyl 2-methylbutyrate, isoamyl acetate, and hexanol were present at concentrations above the odour threshold and contributed to the fruity flavour of the Cider from Hardanger.
A Comparative Analysis of the Immunoglobulin Repertoire in Leukemia Cells and B Cells in Chinese Acute Myeloid Leukemia by High-Throughput Sequencing
Authors: Yan Huige , Wu Lina , Wang Pingzhang , Xia Miaoran , Shi Zhan , Huang Xinmei , Yin Sha , Jiang Qian , Yin C. Cameron , Zhao Xiangyu , Qiu Xiaoyan
Published: August 2024

It is common knowledge that immunoglobulin (Ig) is produced by B lymphocytes and mainly functions as an antibody. However, it has been shown recently that myeloblasts from acute myeloid leukemia (AML) could also express Ig and that AML-Ig played a role in leukemogenesis and AML progression. The difference between Ig from myeloblasts and B cells has not been explored. Studying the characteristics of the Ig repertoire in myeloblasts and B cells will be helpful to understand the function and significance of AML-Ig. We performed 5′ RACE-related PCR coupled with PacBio sequencing to analyze the Ig repertoire in myeloblasts and B cells from Chinese AML patients. Myeloblasts expressed all five classes of IgH, especially Igγ, with a high expression frequency. Compared with B-Ig in the same patient, AML-Ig showed different biased V(D)J usages and mutation patterns. In addition, the CDR3 length distribution of AML-Ig was significantly different from those of B-Ig. More importantly, mutations of AML-IgH, especially Igμ, Igα, and Igδ, were different from that of B-IgH in each AML patient, and the mutations frequently occurred at the sites of post-translational modification. AML-Ig has distinct characteristics of variable regions and mutations, which may have implications for disease monitoring and personalized therapy.
Quantitative Aspect of Bacillus subtilis σB Regulatory Network on a Proteome Level—A Computational Simulation
Authors: Vohradsky Jiri
Published: August 2024

Bacillus subtilis is a model organism used to study molecular processes in Gram-positive bacteria. Sigma factor B, which associates with RNA polymerase, is one of the transcriptional regulators involved in the cell’s response to environmental stress. Experiments have proven that the amounts of free σB (SigB) are controlled by a system of anti- (RsbW) and anti-anti-sigma (RsbV) factors expressed from the same operon as SigB. Moreover, the phosphorylation state of RsbV is controlled by phosphatases RsbP and RsbU, which directly dephosphorylate RsbV. A set of chemical equations describing the network controlling the levels of free SigB was converted to a set of differential equations quantifying the dynamics of the network. The solution of these equations allowed the simulation of the kinetic behavior of the network and its components under real conditions reflected in the time series of protein expression. In this study, the time series of protein expression measured by mass spectrometry were utilized to investigate the role of phosphatases RsbU/RsbP in transmitting the environmental signal. Additionally, the influence of kinetic constants and the amounts of other network components on the functioning of the network was investigated. A comparison with the same simulation performed using a transcriptomic dataset showed that while the time series between the proteomic and transcriptomic datasets are not correlated, the results are the same. This indicates that when modeling is performed within one dataset, it does not matter whether the data come from the mRNA or protein level. In summary, the computational results based on experimental data provide a quantitative insight into the functioning of the SigB-dependent circuit and offer a template for the quantitative study of similar systems.
Advanced Quantification of Receptor–Ligand Interaction Lifetimes via Single-Molecule FRET Microscopy
Authors: Schrangl Lukas , Mühlgrabner Vanessa , Platzer René , Kellner Florian , Wieland Josephine , Obst Reinhard , Toca-Herrera José L. , Huppa Johannes B. , Schütz Gerhard J. , Göhring Janett
Published: August 2024

Receptor–ligand interactions at cell interfaces initiate signaling cascades essential for cellular communication and effector functions. Specifically, T cell receptor (TCR) interactions with pathogen-derived peptides presented by the major histocompatibility complex (pMHC) molecules on antigen-presenting cells are crucial for T cell activation. The binding duration, or dwell time, of TCR–pMHC interactions correlates with downstream signaling efficacy, with strong agonists exhibiting longer lifetimes compared to weak agonists. Traditional surface plasmon resonance (SPR) methods quantify 3D affinity but lack cellular context and fail to account for factors like membrane fluctuations. In the recent years, single-molecule Förster resonance energy transfer (smFRET) has been applied to measure 2D binding kinetics of TCR–pMHC interactions in a cellular context. Here, we introduce a rigorous mathematical model based on survival analysis to determine exponentially distributed receptor–ligand interaction lifetimes, verified through simulated data. Additionally, we developed a comprehensive analysis pipeline to extract interaction lifetimes from raw microscopy images, demonstrating the model’s accuracy and robustness across multiple TCR–pMHC pairs. Our new software suite automates data processing to enhance throughput and reduce bias. This methodology provides a refined tool for investigating T cell activation mechanisms, offering insights into immune response modulation.
Surface Pre-Reacted Glass-Ionomer Eluate Suppresses Osteoclastogenesis through Downregulation of the MAPK Signaling Pathway
Authors: Chandra Janaki , Nakamura Shin , Shindo Satoru , Leon Elizabeth , Castellon Maria , Pastore Maria Rita , Heidari Alireza , Witek Lukasz , Coelho Paulo G. , Nakatsuka Toshiyuki , Kawai Toshihisa
Published: August 2024

Surface pre-reacted glass-ionomer (S-PRG) is a new bioactive filler utilized for the restoration of decayed teeth by its ability to release six bioactive ions that prevent the adhesion of dental plaque to the tooth surface. Since ionic liquids are reported to facilitate transepithelial penetration, we reasoned that S-PRG applied to root caries could impact the osteoclasts (OCs) in the proximal alveolar bone. Therefore, this study aimed to investigate the effect of S-PRG eluate solution on RANKL-induced OC-genesis and mineral dissolution in vitro. Using RAW264.7 cells as OC precursor cells (OPCs), TRAP staining and pit formation assays were conducted to monitor OC-genesis and mineral dissolution, respectively, while OC-genesis-associated gene expression was measured using quantitative real-time PCR (qPCR). Expression of NFATc1, a master regulator of OC differentiation, and the phosphorylation of MAPK signaling molecules were measured using Western blotting. S-PRG eluate dilutions at 1/200 and 1/400 showed no cytotoxicity to RAW264.7 cells but did significantly suppress both OC-genesis and mineral dissolution. The same concentrations of S-PRG eluate downregulated the RANKL-mediated induction of OCSTAMP and CATK mRNAs, as well as the expression of NFATc1 protein and the phosphorylation of ERK, JNK, and p38. These results demonstrate that S-PRG eluate can downregulate RANKL-induced OC-genesis and mineral dissolution, suggesting that its application to root caries might prevent alveolar bone resorption.
Correction: Borges et al. The Roles of Potassium and Calcium Currents in the Bistable Firing Transition. Brain Sci. 2023, 13, 1347
Authors: Borges Fernando S. , Protachevicz Paulo R. , Souza Diogo L. M. , Bittencourt Conrado F. , Gabrick Enrique C. , Bentivoglio Lucas E. , Szezech José D. , Batista Antonio M. , Caldas Iberê L. , Dura-Bernal Salvador , Pena Rodrigo F. O.
Published: August 2024

Funding Updated [...]
Continuous Dictionary of Nodes Model and Bilinear-Diffusion Representation Learning for Brain Disease Analysis
Authors: Liang Jiarui , Yan Tianyi , Huang Yin , Li Ting , Rao Songhui , Yang Hongye , Lu Jiayu , Niu Yan , Li Dandan , Xiang Jie , Wang Bin
Published: August 2024

Brain networks based on functional magnetic resonance imaging (fMRI) provide a crucial perspective for diagnosing brain diseases. Representation learning has recently attracted tremendous attention due to its strong representation capability, which can be naturally applied to brain disease analysis. However, traditional representation learning only considers direct and local node interactions in original brain networks, posing challenges in constructing higher-order brain networks to represent indirect and extensive node interactions. To address this problem, we propose the Continuous Dictionary of Nodes model and Bilinear-Diffusion (CDON-BD) network for brain disease analysis. The CDON model is innovatively used to learn the original brain network, with its encoder weights directly regarded as latent features. To fully integrate latent features, we further utilize Bilinear Pooling to construct higher-order brain networks. The Diffusion Module is designed to capture extensive node interactions in higher-order brain networks. Compared to state-of-the-art methods, CDON-BD demonstrates competitive classification performance on two real datasets. Moreover, the higher-order representations learned by our method reveal brain regions relevant to the diseases, contributing to a better understanding of the pathology of brain diseases.
Do Psychological Ownership and Communicative Presence Matter? Examining How User-Generated Content in E-Commerce Live Streaming Influences Consumers’ Purchase Intention
Authors: Zhang Nan , Hu Wen
Published: August 2024

E-commerce live streaming has become a lucrative global industry. As the main carrier to convey information in live broadcasting, user-generated content (UGC)—and especially bullet screens—are crucial in influencing users’ purchase intentions. However, the influence of bullet screens’ multidimensional information characteristics on consumers’ decision-making processes requires further exploration. Additionally, most existing studies start with the short-term effects of live product realization, and must address how to enhance customers’ psychological ownership using new means of live streaming marketing to obtain long-term sustainable brand-building effects. This study introduces psychological ownership and the communicative presence as mediating variables based on the theory of elaboration likelihood modeling to explore the mechanism of the influence of UGC’s multidimensional features on viewers’ purchase intentions in live e-commerce broadcasting rooms. We collected 404 valid online questionnaires and tested our hypotheses using structural equation modeling. These findings indicate that UGC emotions, quality, and their interaction significantly and positively affect purchase intentions. Moreover, psychological ownership and the communicative presence mediate UGC’s effect on purchase intentions. These results provide a new perspective for understanding consumer behavior in live e-commerce to improve marketing effectiveness of e-commerce live streaming platforms.
Understanding Parental Adherence to Early Childhood Domestic Injury Prevention: A Cross-Cultural Test of the Integrated Behavior–Change Model
Authors: Chiu Roni M. Y. , Chan Derwin K. C.
Published: August 2024

Unintentional injuries pose a significant risk to children in early years globally. In particular, toddlers and preschoolers are vulnerable to injuries that occur at home. Despite the availability of preventive measures that can greatly reduce the risks of domestic injuries, some caregivers (e.g., parents) of children in early childhood may not fully implement these safety measures due to poor behavioral adherence or low awareness of the risk of domestic injury. Therefore, it is crucial to understand how caregivers in different cultural contexts approach injury prevention in the home environment. In this multi-cultural study, we investigated the motivational and belief processes underlying childhood domestic injury prevention among a total of 2059 primary caregivers (parents/guardians) of infant and toddlers (aged 2 to 6 years) across four societies, Australia (AU; N = 500), the United States (US; N = 500), Singapore (SG; N = 507), and Hong Kong (HK; N = 552), by applying the integrated model of self-determination theory (SDT) and theory of planned behavior (TPB). Our results support the key tenets of the integrated model and demonstrated cultural invariance model pathways across the four societies studied. In particular, the positive relationships among psychological need support, autonomous motivation, socio-cognitive beliefs, intention, and behavior adherence remained constant across societies. With a multi-cultural sample, this study provides valuable insights into the similarities and differences in motivation and beliefs surrounding childhood domestic injury prevention across these four societies.
Mate Choice Plurality, Choice Overload, and Singlehood: Are More Options Always Better?
Authors: Apostolou Menelaos , Constantinidou Loukia , Kagialis Antonios
Published: August 2024

A lack of options can make it challenging for individuals to find a desirable intimate partner. Conversely, an abundance of choices might lead to mate choice overload, making it difficult to determine the most suitable match. Additionally, having numerous alternatives after entering a relationship could undermine its stability by decreasing satisfaction with the current partner. The present research aimed to examine the effects of mate choice plurality on singlehood status and the willingness to stay in a relationship within the Greek cultural context. Specifically, we employed closed-ended questionnaires, which included instruments developed using AI, with a sample of 804 Greek-speaking participants. We found that participants who perceived they had a wider range of potential romantic partners reported a lower likelihood of being single. Furthermore, more perceived mate choices were associated with fewer years spent as single. However, mate choice plurality was also linked to higher choice overload, which, in turn, increased the likelihood of being single rather than in an intimate relationship. Moreover, more perceived mate choices were associated with more regrets about being in the current relationship. These regrets were linked to lower relationship satisfaction and ultimately contributed to a decreased willingness to stay in the relationship. Notably, this indirect effect was significant only for male participants.
Effects of Authentic Leadership on Intrapreneurial Behaviour: A Study in the Service Sector of Southern Spain
Authors: González-Cánovas Alejandro , Trillo Alejandra , Jiménez-Barrionuevo María Magdalena , Bretones Francisco D.
Published: August 2024

Employees currently face an increasingly demanding environment in terms of intrapreneurial behaviour due to the key role it plays in the survival of companies and the elimination of threats in the organisational environment. This paper investigates the antecedents of intrapreneurial behaviour in the service sector in southern Spain, analysing the relationships between it and authentic leadership, as well as the mediating role of practiced creativity, autonomy and meaningful work. This study uses a quantitative approach through the distribution of a questionnaire. A total of 333 employees completed the research questionnaire. The results show that although authentic leadership has a significant negative direct effect on intrapreneurial behaviour, it positively and significantly promotes it through practiced creativity and meaningful work. In contrast to the previous two mediations, the mediation of autonomy was not significant. This research provides empirical findings that can contribute to a better understanding of intrapreneurial behaviour by highlighting the importance of balanced, authentic leadership and offering guidance to organisations in designing a work climate that enhances organisational effectiveness.
The Sexual Double Standard toward Non-Heterosexual Populations: Evaluations of Sexually Active Gay Men and Lesbian Women
Authors: Marks Michael , Padgett Serina
Published: August 2024

We examined the sexual double standard (SDS) toward sexually active gay men and lesbian women and the role that participants’ masculinity and femininity played in their evaluations. We hypothesized that there would be a reverse SDS in which highly sexually active lesbian women would be evaluated positively and highly sexually active gay men negatively, with both being evaluated more negatively than less sexually active gay men and lesbians. We also hypothesized that masculinity would moderate this effect, with participant masculinity being positively related to stronger negative evaluations of highly sexually active gay targets and more positive evaluations of highly sexually active lesbian targets. Results indicate a weak SDS in the areas of likability and morality, with highly sexually active lesbians being liked by masculine participants the most and highly sexually active gay men being rated as the least moral. The SDS appears to be influenced by expectations of gender roles and may be reversed for gay men and lesbian women because of these expectations.
H2 Adsorption on Small Pd-Ni Clusters Deposited on N-Doped Graphene: A Theoretical Study
Authors: García-Hilerio Brenda , Santiago-Silva Lidia , Vásquez-García Adriana , Gomez-Sanchez Alejandro , Franco-Luján Víctor A. , Cruz-Martínez Heriberto
Published: August 2024

The study of novel materials for H2 storage is essential to consolidate the hydrogen as a clean energy source. In this sense, the H2 adsorption on Pd4-nNin (n = 0–3) clusters embedded on pyridinic-type N-doped graphene (PNG) was investigated using density functional theory calculations. First, the properties of Pd4-nNin (n = 0–3) clusters embedded on PNG were analyzed in detail. Then, the H2 adsorption on these composites was computed. The Eint between the Pd4-nNin (n = 0–3) clusters and the PNG was greater than that computed in the literature for Pd-based systems embedded on pristine graphene. Consequently, it was deduced that PNG can more significantly stabilize the Pd4-nNin (n = 0–3) clusters. The analyzed composites exhibited a HOMO–LUMO gap less than 1 eV, indicating good reactivity. Based on the Eads of H2 on Pd4-nNin (n = 0–3) clusters embedded on PNG, it was observed that the analyzed systems meet the standards set by the DOE. Therefore, these composites can be viable alternatives for hydrogen storage.
One-Pot Synthesis of Acidic Mesoporous Activated Carbon Obtained from Yerba Mate Twigs as Suitable Catalyst for the Production of Levulinic Ester Biofuel Additives
Authors: Alvear-Daza John J. , Sosa Alexis , Ruiz Diego M. , Pasquale Gustavo A. , Rengifo-Herrera Julián A. , Romanelli Gustavo P. , Pizzio Luis R.
Published: August 2024

A series of activated carbons (YMBC) obtained from yerba mate twig residue (YMT) were prepared by chemical (H3PO4) and thermal activation. Five materials were synthesized, varying the carbonization temperature (400–600 °C under N2 atmosphere) and H3PO4:YMT ratio (60–80 wt%). They were physicochemically and texturally characterized by SEM-EDX, BET, FT-IR, and 31P MAS-NMR. Potentiometric titration with the n-butylamine technique was used to evaluate their acidic properties. The materials exhibited a high specific surface area (572 m2 g−1 < SBET < 1031 m2 g−1) and mesoporosity (67% < Smeso/SBET < 93%). The results showed that the acid strength and the number of acid sites increased with the H3PO4:YMT ratio and decreased with the calcination temperature increment. The FT-IR and 31P characterization revealed the presence of Hn+2PnO3n+1 species firmly (via P-O-C linkages) and loosely attached (by electrostatic interaction). The latter were successfully removed by refluxing the material in water or n-propanol. The optimal reaction conditions were applied to the synthesis of other levulinic acid esters using YMBC-500-70NP as a catalyst. Furthermore, the effective separation of the product combined with the use of a recyclable catalyst resulted in a clean and environmentally friendly strategy for the synthesis of alkyl levulinates, bioproducts of relevance to the biorefinery industry, which can be applied as fragrances, flavoring agents, as well as fuel additives.
Understanding the Cytomegalovirus Cyclin-Dependent Kinase Ortholog pUL97 as a Multifaceted Regulator and an Antiviral Drug Target
Authors: Marschall Manfred , Schütz Martin , Wild Markus , Socher Eileen , Wangen Christina , Dhotre Kishore , Rawlinson William D. , Sticht Heinrich
Published: August 2024

Herpesviral protein kinases, such as the therapy-relevant pUL97 of human cytomegalovirus (HCMV), are important for viral replication efficiency as well as pathogenesis, and represent key antiviral drug targets. HCMV pUL97 is a viral cyclin-dependent kinase (CDK) ortholog, as it shares functional and structural properties with human CDKs. Recently, the formation of vCDK/pUL97–cyclin complexes and the phosphorylation of a variety of viral and cellular substrate proteins has been demonstrated. Genetic mapping and structural modeling approaches helped to define two pUL97 interfaces, IF1 and IF2, responsible for cyclin binding. In particular, the regulatory importance of interactions between vCDK/pUL97 and host cyclins as well as CDKs has been highlighted, both as determinants of virus replication and as a novel drug-targeting option. This aspect was substantiated by the finding that virus replication was impaired upon cyclin type H knock-down, and that such host-directed interference also affected viruses resistant to existing therapies. Beyond the formation of binary interactive complexes, a ternary pUL97–cyclin H–CDK7 complex has also been described, and in light of this, an experimental trans-stimulation of CDK7 activity by pUL97 appeared crucial for virus–host coregulation. In accordance with this understanding, several novel antiviral targeting options have emerged. These include kinase inhibitors directed to pUL97, to host CDKs, and to the pUL97–cyclin H interactive complexes. Importantly, a statistically significant drug synergy has recently been reported for antiviral treatment schemes using combinations of pharmacologically relevant CDK7 and vCDK/pUL97 inhibitors, including maribavir. Combined, such findings provide increased options for anti-HCMV control. This review focuses on regulatory interactions of vCDK/pUL97 with the host cyclin–CDK apparatus, and it addresses the functional relevance of these key effector complexes for viral replication and pathogenesis. On this basis, novel strategies of antiviral drug targeting are defined.
Enhancing Maturation and Translatability of Human Pluripotent Stem Cell-Derived Cardiomyocytes through a Novel Medium Containing Acetyl-CoA Carboxylase 2 Inhibitor
Authors: Correia Cláudia , Christoffersson Jonas , Tejedor Sandra , El-Haou Saïd , Matadamas-Guzman Meztli , Nair Syam , Dönnes Pierre , Musa Gentian , Rohman Mattias , Sundqvist Monika , Riddle Rebecca B. , Nugraha Bramasta , Bellido Ioritz Sorzabal , Johansson Markus , Wang Qing-Dong , Hidalgo Alejandro , Jennbacken Karin , Synnergren Jane , Später Daniela
Published: August 2024

Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) constitute an appealing tool for drug discovery, disease modeling, and cardiotoxicity screening. However, their physiological immaturity, resembling CMs in the late fetal stage, limits their utility. Herein, we have developed a novel, scalable cell culture medium designed to enhance the maturation of hPSC-CMs. This medium facilitates a metabolic shift towards fatty acid utilization and augments mitochondrial function by targeting Acetyl-CoA carboxylase 2 (ACC2) with a specific small molecule inhibitor. Our findings demonstrate that this maturation protocol significantly advances the metabolic, structural, molecular and functional maturity of hPSC-CMs at various stages of differentiation. Furthermore, it enables the creation of cardiac microtissues with superior structural integrity and contractile properties. Notably, hPSC-CMs cultured in this optimized maturation medium display increased accuracy in modeling a hypertrophic cardiac phenotype following acute endothelin-1 induction and show a strong correlation between in vitro and in vivo target engagement in drug screening efforts. This approach holds promise for improving the utility and translatability of hPSC-CMs in cardiac disease modeling and drug discovery.
Mutation in the Kinase Domain Alters the VEGFR2 Membrane Dynamics
Authors: Corsini Michela , Ravelli Cosetta , Grillo Elisabetta , Domenichini Mattia , Mitola Stefania
Published: August 2024

Background: Recently, the substitution R1051Q in VEGFR2 has been described as a cancer-associated “gain of function” mutation. VEGFR2R1051Q phosphorylation is ligand-independent and enhances the activation of intracellular pathways and cell growth both in vitro and in vivo. In cancer, this mutation is found in heterozygosity, suggesting that an interaction between VEGFR2R1051Q and VEGFR2WT may occur and could explain, at least in part, how VEGFR2R1051Q acts to promote VEGFR2 signaling. Despite this, the biochemical/biophysical mechanism of the activation of VEGFR2R1051Q remains poorly understood. On these bases, the aim of our study is to address how VEGFR2R1051Q influences the biophysical behavior (dimerization and membrane dynamics) of the co-expressed VEGFR2WT. Methods: We employed quantitative FLIM/FRET and FRAP imaging techniques using CHO cells co-transfected with the two forms of VEGFR2 to mimic heterozygosity. Results: Membrane protein biotinylation reveals that VEGFR2WT is more exposed on the cell membrane with respect to VEGFR2R1051Q. The imaging analyses show the ability of VEGFR2WT to form heterodimers with VEGFR2R1051Q and this interaction alters its membrane dynamics. Indeed, when the co-expression of VEGFR2WT/VEGFR2R1051Q occurs, VEGFR2WT shows reduced lateral motility and a minor pool of mobile fraction. Conclusions: This study demonstrates that active VEGFR2R1051Q can affect the membrane behavior of the VEGFR2WT.
Sudden Intrauterine Unexplained Death (SIUD) and Oxidative Stress: Placental Immunohistochemical Markers
Authors: Montana Angelo , Alfieri Letizia , Marino Raffaella , Greco Pantaleo , Taliento Cristina , Fulcheri Ezio , Tini Anastasio , Buffelli Francesca , Neri Margherita
Published: August 2024

Background: Intrauterine fetal death and perinatal death represent one of the most relevant medical scientific problems since, in many cases, even after extensive investigation, the causes remain unknown. The considerable increase in medical legal litigation in the obstetrical field that has witnessed in recent years, especially in cases of stillborn births, has simultaneously involved the figure of the forensic pathologist in scientific research aimed at clarifying the pathophysiological processes underlying stillbirth. Methods: our study aims to analyze cases of sudden intrauterine unexplained death syndrome (SIUD) to evaluate the role of oxidative stress in the complex pathogenetic process of stillbirth. In particular, the immunohistochemical expression of specific oxidative stress markers (NOX2, NT, iNOS, 8-HODG, IL-6) was evaluated in tissue samples of placentas of SIUDs belonging to the extensive case series (20 cases), collected from autopsy cases of the University of Ferrara and Politecnica delle Marche between 2017 and 2023. Results: The study demonstrated the involvement of oxidative stress in intrauterine fetal deaths in the placenta of the cases examined. In SIUD, the most expressed oxidative stress markers were NOX2 and 8-HODG. Conclusions: The study contributes to investigating the role of oxidative stress in modulating different pathways in unexplained intrauterine fetal death (SIUD) tissues.
Metaverse Unveiled: From the Lens of Science to Common People Perspective
Authors: Cruz Mónica , Oliveira Abílio , Pinheiro Alessandro
Published: August 2024

Everyone forms a perception about everything, including the Metaverse. Still, we may expect a gap or disconnection between what has been expressed by various researchers and the widespread perceptions of technology and related concepts. However, the degree to which these two frames of representation differ awaits further investigation. This study seeks to compare the Metaverse perceptions between the scientific findings and the common people’s perceptions using the data from two previous qualitative studies about the representations of the Metaverse from a scientific perspective versus a common perspective (by adults). Is there a common ground between these two perspectives? Or are they in opposition? As goals for this research, we aim to contrast the depiction of the Metaverse in pertinent studies (published in indexed journals) with the portrayal of the Metaverse among adults (non-researchers); ascertain the most prevalent depiction of virtual reality; and determine the significance of gaming within the representations of the Metaverse and virtual reality. This investigation encapsulates crucial findings on the Metaverse concept, contrasting the discoveries made by researchers in prior studies with the common public’s interpretation of this concept. It helps with understanding the differences between the Metaverse representations, the immersion and perception concepts, and a disagreement from the past vs. future perspective.
Early Stages of Crack Nucleation Mechanism in Fe39Mn20Co20Cr15Si5Al1 High-Entropy Alloy during Stress Corrosion Cracking Phenomenon: Pit Initiation and Growth
Authors: Varshney Pranshul , Kumar Nilesh
Published: August 2024

This study investigated the susceptible sites for pit nucleation in a transformation-induced plasticity (TRIP) Fe39Mn20Co20Cr15Si5Al1 (at.%) high-entropy alloy (HEA) in 3.5 wt.% NaCl solution. The investigation involved a constant-load stress corrosion cracking (SCC) experiment. The SCC testing was interrupted at different pre-determined time intervals to characterize the specimen surface using a scanning electron microscope (SEM), electron backscattered diffraction (EBSD), and a three-dimensional optical stereomicroscope. The EBSD results revealed pit nucleation at the susceptible γ–ε interphase and ε–ε interlath/plate boundaries. The three-dimensional profile and SEM results indicated an increase in pit depth with no change in pit diameter on the surface of the specimen as the experiment progressed over time. This study highlights the importance of microstructural features and mechanical loading in the corrosion behavior of TRIP HEAs, providing insights into the mechanisms of pit nucleation and growth under aggressive environmental conditions.
Microwave Bow-Tie Diodes on Bases of 2D Semiconductor Structures
Authors: Ašmontas Steponas , Anbinderis Maksimas , Čerškus Aurimas , Gradauskas Jonas , Lučun Andžej , Sužiedėlis Algirdas
Published: August 2024

Planar microwave bow-tie diodes on bases of selectively doped semiconductor structures are successfully used in the detection and imaging of electromagnetic radiation in millimeter and submillimeter wavelength ranges. Although the signal formation mechanism in these high-frequency diodes is said to be based on charge-carrier heating in a semiconductor in a strong electric field, the nature of the electrical signal across the bow-tie diodes is not yet properly identified. In this research paper, we present a comprehensive study of a series of various planar bow-tie diodes, starting with a simple asymmetrically shaped submicrometer-thick n-GaAs layer and finishing with bow-tie diodes based on selectively doped GaAs/AlGaAs structures of different electrical conductivity. The planar bow-tie diodes were fabricated on two different types of high-resistivity substrates: bulky semi-insulating GaAs substrate and elastic dielectric polyimide film of micrometer thickness. The microwave diodes were investigated using DC and high-frequency probe stations, which allowed us to examine a sufficient number of diodes and collect a large amount of data to perform a statistical analysis of the electrical parameters of these diodes. The use of probe stations made it possible to analyze the properties of the bow-tie diodes and clarify the nature of the detected voltage in the dark and under white-light illumination. The investigation revealed that the properties of various bow-tie diodes are largely determined by the energy states residing in semiconductor bulk, surface, and interfaces. It is most likely that these energy states are responsible for the slow relaxation processes observed in the studied bow-tie diodes.
A New Genus and Species of Marine Symbiotic Shrimp (Crustacea: Decapoda: Palaemonidae) from New Caledonia
Authors: Ďuriš Zdeněk , Fišarová Karolína
Published: August 2024

A single specimen of a new genus and species of marine palaemonid shrimp was collected from the outer slope of the barrier reef of Koumac, northwest New Caledonia. The new shrimp is remarkable due to its unique series of diagnostic characters, i.e., the presence of compressed supraorbital teeth, a well-developed orbital cavity, closely set antennal and hepatic teeth on the carapace, swollen eyestalks, fully reduced endites on the maxilla, an anteriorly produced lobe on the fourth thoracic sternite, relatively small second chelipeds, and strongly biunguiculate ambulatory dactyli. This specimen occupies an isolated phylogenetic position among the symbiotic palaemonid shrimp analyzed, only demonstrating a feeble morphological inclination towards the “gnathophyllid” section of these. However, neither the main diagnostic characters nor genetic data allow for further clarification of a closer relationship between this new shrimp and any currently known palaemonid genus as of yet. The new genus and species is described in this report, and its phylogenetic position is discussed based on molecular and morphological characters.
Common Non-Rheumatic Medical Conditions Mimicking Fibromyalgia: A Simple Framework for Differential Diagnosis
Authors: D’Amuri Andrea , Greco Salvatore , Pagani Mauro , Presciuttini Barbara , Ciaffi Jacopo , Ursini Francesco
Published: August 2024

Fibromyalgia (FM) is a chronic non-inflammatory disorder mainly characterized by widespread musculoskeletal pain, fatigue, sleep disturbances, and a constellation of other symptoms. For this reason, delineating a clear distinction between pure FM and FM-like picture attributable to other common diseases can be extremely challenging. Physicians must identify the most significant confounders in individual patients and implement an appropriate diagnostic workflow, carefully choosing a minimal (but sufficient) set of tests to be used for identifying the most plausible diseases in the specific case. This article discusses prevalent non-rheumatological conditions commonly observed in the general population that can manifest with clinical features similar to primary FM. Given their frequent inclusion in the differential diagnosis of FM patients, the focus will be on elucidating the distinctive clinical characteristics of each condition. Additionally, the most cost-effective and efficient diagnostic methodologies for accurately discerning these conditions will be examined.
The Importance of Follow-Up Visits for Children at Risk of Developmental Delay—A Review
Authors: Malak Roksana , Kaczmarek Ada , Fechner Brittany , Samborski Włodzimierz , Kwiatkowski Jacek , Komisarek Oskar , Tuczyńska Maria , Tuczyńska Magdalena , Mojs Ewa
Published: August 2024

Structured follow-up visits should be accessible for children at risk for developmental delay. Follow-up visits should include a serial neuromotor assessment in the first two years of life (e.g., 3–6, 12, 24 months corrected age), which are repeated during the transition to school. The diagnosis of neuromotor development may be prognostic for important skills later in life. The early diagnosis of a child’s general movements can be helpful in planning appropriately for proper treatment and intervention. These diagnostic assessments should be conducted by qualified healthcare professionals. The evaluation of neuromotor developmental health is specified in the national guidelines and funded by either a national government or public or private healthcare insurance and based on standardized assessment scales. The aim of this study is to show what elements of follow-up visits are recommended. Objectives: The group of patients for whom the structured follow-up systems are intended were children born very preterm (<32 weeks gestation) or full-term born children with severe neonatal complications. Material and methods: The methods for monitoring neurodevelopment include the following: The General Movements Assessment (GMA), the Ages and Stages Questionnaire (ASQ-3), the Bayley Scales of Infant and Toddler Development (BSID-4), and the Parent Report of Children’s Abilities-Revised (PARCA-R). Results: The results of follow-up visits should be registered. Conclusions: The benefits of follow-up neuromotor development assessments can be observed at school age and even in adulthood.
Convolutional Neural Network and Ensemble Learning-Based Unmanned Aerial Vehicles Radio Frequency Fingerprinting Identification
Authors: Zheng Yunfei , Zhang Xuejun , Wang Shenghan , Zhang Weidong
Published: August 2024

With the rapid development of the unmanned aerial vehicles (UAVs) industry, there is increasing demand for UAV surveillance technology. Automatic Dependent Surveillance-Broadcast (ADS-B) provides accurate monitoring of UAVs. However, the system cannot encrypt messages or verify identity. To address the issue of identity spoofing, radio frequency fingerprinting identification (RFFI) is applied for ADS-B transmitters to determine the true identities of UAVs through physical layer security technology. This paper develops an ensemble learning ADS-B radio signal recognition framework. Firstly, the research analyzes the data content characteristics of the ADS-B signal and conducts segment processing to eliminate the possible effects of the signal content. To extract features from different signal segments, a method merging end-to-end and non-end-to-end data processing is approached in a convolutional neural network. Subsequently, these features are fused through EL to enhance the robustness and generalizability of the identification system. Finally, the proposed framework’s effectiveness is evaluated using collected ADS-B data. The experimental results indicate that the recognition accuracy of the proposed ELWAM-CNN method can reach up to 97.43% and have better performance at different signal-to-noise ratios compared to existing methods using machine learning.
Effective Sample Selection and Enhancement of Long Short-Term Dependencies in Signal Detection: HDC-Inception and Hybrid CE Loss
Authors: Wang Yingbin , Wang Weiwei , Chen Yuexin , Su Xinyu , Chen Jinming , Yang Wenhai , Li Qiyue , Duan Chongdi
Published: August 2024

Signal detection and classification tasks, especially in the realm of audio, suffer from difficulties in capturing long short-term dependencies and effectively utilizing samples. Firstly, audio signal detection and classification need to classify audio signals and detect their onset and offset times; therefore, obtaining long short-term dependencies is necessary. The methods based on RNNs have high time complexity and dilated convolution-based methods suffer from the “gridding issue” challenge; thus, the HDC-Inception module is proposed to efficiently extract long short-term dependencies. Combining the advantages of the Inception module and a hybrid dilated convolution (HDC) framework, the HDC-Inception module can both alleviate the “gridding issue” and obtain long short-term dependencies. Secondly, datasets have large numbers of silent segments and too many samples for some signal types, which are redundant and less difficult to detect, and, therefore, should not be overly prioritized. Thus, selecting effective samples and guiding the training based on them is of great importance. Inspired by support vector machine (SVM), combining soft margin SVM and cross-entropy loss (CE loss), the soft margin CE loss is proposed. Soft margin CE loss can adaptively select support vectors (effective samples) in datasets and guide training based on the selected samples. To utilize datasets more sufficiently, a hybrid CE loss is proposed. Using the benefits of soft margin CE loss and CE loss, hybrid CE loss guides the training with all samples and gives weight to support vectors. Soft margin CE loss and hybrid CE loss can be extended to most classification tasks and offer a wide range of applications and great potential.
Bearing Faults Diagnosis by Current Envelope Analysis under Direct Torque Control Based on Neural Networks and Fuzzy Logic—A Comparative Study
Authors: El Idrissi Abderrahman , Derouich Aziz , Mahfoud Said , El Ouanjli Najib , Chojaa Hamid , Chantoufi Ahmed
Published: August 2024

Diagnosing bearing defects (BFs) in squirrel cage induction machines (SCIMs) is essential to ensure their proper functioning and avoid costly breakdowns. This paper presents an innovative approach that combines intelligent direct torque control (DTC) with the use of Hilbert transform (HT) to detect and classify these BFs. The intelligent DTC allows precise control of the electromagnetic torque of the asynchronous machine, thus providing a quick response to BFs. Using HT, stator current is analyzed to extract important features related to BFs. The HT provides the analytical signal of the current, thus facilitating the detection of anomalies associated with BFs. The approach presented incorporates an intelligent DTC that adapts to stator current variations and characteristics extracted via the HT. This intelligent control uses advanced algorithms such as neural networks (ANN-DTCs) and fuzzy logic (FL-DTCs). In this paper, a comparison between these two algorithms was performed in the MATLAB/Simulink environment for a three-phase asynchronous machine to evaluate their effectiveness under the proposed approach. The results obtained demonstrated a high ability to detect and classify BFs, confirming the effectiveness of each algorithm. In addition, this comparison highlighted the specific advantages and disadvantages of each approach. This information is valuable in choosing the most suitable algorithm according to the constraints and specific needs of the application.
Unsupervised Classification of Spike Patterns with the Loihi Neuromorphic Processor
Authors: Matsuo Ryoga , Elgaradiny Ahmed , Corradi Federico
Published: August 2024

A long-standing research goal is to develop computing technologies that mimic the brain’s capabilities by implementing computation in electronic systems directly inspired by its structure, function, and operational mechanisms, using low-power, spike-based neural networks. The Loihi neuromorphic processor provides a low-power, large-scale network of programmable silicon neurons for brain-inspired artificial intelligence applications. This paper exploits the Loihi processors and a theory-guided methodology to enable unsupervised learning of spike patterns. Our method ensures efficient and rapid selection of the network’s hyperparameters, enabling the neuromorphic processor to generate attractor states through real-time unsupervised learning. Precisely, we follow a fast design process in which we fine-tune network parameters using mean-field theory. Moreover, we measure the network’s learning ability regarding its error correction and pattern completion aptitude. Finally, we observe the dynamic energy consumption of the neuron cores for each millisecond of simulation equal to 23 μJ/time step during the learning and recall phase for four attractors composed of 512 excitatory neurons and 256 shared inhibitory neurons. This study showcases how large-scale, low-power digital neuromorphic processors can be quickly programmed to enable the autonomous generation of attractor states. These attractors are fundamental computational primitives that theoretical analysis and experimental evidence indicate as versatile and reusable components suitable for a wide range of cognitive tasks.
Effects of Land-Use Intensity on Functional Community Composition and Nutrient Dynamics in Grassland
Authors: Walter Julia , Thumm Ulrich , Buchmann Carsten M.
Published: August 2024

Land-use intensity drives productivity and ecosystem functions in grassland. The effects of long-term land-use intensification on plant functional community composition and its direct and indirect linkages to processes of nutrient cycling are largely unknown. We manipulated mowing frequency and nitrogen inputs in an experiment in temperate grassland over ten years. We assessed changes in species composition and calculated functional diversity (FDis) and community weighted mean (CWM) traits of specific leaf area (SLA), leaf dry matter content (LDMC) and leaf and root nitrogen of the plant community, using species-specific trait values derived from databases. We assessed above- and belowground decomposition and soil respiration. Plant diversity strongly decreased with increasing land-use intensity. CWM leaf nitrogen and SLA decreased, while CWM LDMC increased with land-use intensification, which could be linked to an increased proportion of graminoid species. Belowground processes were largely unaffected by land-use intensity. Land use affected aboveground litter composition directly and indirectly via community composition. Mowing frequency, and not a land-use index combining mowing frequency and fertilization, explained most of the variation in litter decomposition. Our results show that land-use intensification not only reduces plant diversity, but that these changes also affect nutrient dynamics.