bluuebunny/crossref_metadata_2025_split huggingface dataset:
Type I IFN expression is inhibited during cell division by CDK4/6
Authors: Sumner Rebecca P. , Ellis Ailish , Lant Sian , Ashby Hannah , Towers Greg J. , Maluquer de Motes Carlos 
Published: April 2023

SummaryCells are equipped to defend themselves from invading pathogens through sensors such as cGAS, which upon binding DNA induces type I interferon (IFN) expression. Whilst IFNs are crucial for limiting viral infection and activating adaptive immunity, uncontrolled production causes excessive inflammation and autoimmunity. cGAS binds DNA of both pathogenic and cellular origin and its activity is therefore tightly regulated. This is particularly apparent during mitosis, where cGAS association with chromatin following nuclear membrane dissolution and phosphorylation by mitotic kinases negatively regulate enzymatic activity. Here we describe a novel mechanism by which DNA sensing and other innate immune pathways are regulated during cell division, dependent on cyclin dependent kinases (CDK) 4 and 6. Inhibition of CDK4/6 using chemical inhibitors, shRNA-mediated depletion, or overexpression of cellular CDK4/6 inhibitor p16INK4a, greatly enhanced DNA- or cGAMP-induced expression of cytokines and IFN-stimulated genes (ISG). Mechanistically, CDK4/6-dependent inhibition mapped downstream of cytoplasmic signalling events including STING and IRF3 phosphorylation, limiting innate immune induction at the level of IFNβ mRNA expression. This regulation was universal, occurring in primary and transformed cells of human and murine origin, and broad, as IFNβ expression was inhibited in a CDK4/6-dependent manner downstream of multiple pattern recognition receptors. Together these findings demonstrate that host innate responses are limited by multiple mechanisms during cell division, thus defining cellular replication as an innate immune privileged process that may be necessary to avoid aberrant self-recognition and autoimmunity.
Ecological genomics in the Northern krill uncovers loci for local adaptation across ocean basins
Authors: Unneberg Per , Larsson Mårten , Olsson Anna , Wallerman Ola , Petri Anna , Bunikis Ignas , Vinnere Pettersson Olga , Papetti Chiara , Gíslason Ástþór , Glenner Henrik , Cartes Joan E. , Blanco-Bercial Leocadio , Eriksen Elena , Meyer Bettina , Wallberg Andreas 
Published: April 2023

AbstractKrill is a vital food source for many marine animals but also strongly impacted by climate change. Genetic adaptation could support populations, but remains uncharacterized. We assembled the 19 Gb Northern krill genome and compared genome-scale variation among 74 specimens from the colder Atlantic Ocean and warmer Mediterranean Sea. The genome is dominated by methylated transposable elements and contains many duplicated genes implied in molting and vision. Analysis of 760 million SNPs indicates extensive homogenizing gene-flow among populations. Nevertheless, we detect extreme divergence across hundreds of genes, governing ecophysiological functions like photoreception, circadian regulation, reproduction and thermal tolerance. Such standing variation may be essential for resilience in zooplankton, necessitating insight into adaptive variation to forecast their roles in future marine ecosystems and support ocean conservation.One-Sentence SummaryGenome-scans of Northern krill link genes for photoreception, reproduction and thermal tolerance to ecological adaptation.
Incongruence between transcriptional and vascular pathophysiological cell states
Authors: Fernández-Chacón Macarena , Mühleder Severin , Regano Álvaro , Garcia-Ortega Lourdes , Torroja Carlos , Lytvyn Mariya , Sanchez-Muñoz Maria S , Casquero-Garcia Verónica , Camafeita Emilio , Vazquez Jesus , Benguría Alberto , Dopazo Ana , Sánchez-Cabo Fátima , Carter Hannah , Benedito Rui 
Published: April 2023

AbstractThe Notch pathway is a major regulator of transcriptional specification and vascular biology. Previous studies have suggested that targeting the ligand Dll4 or the Notch-receptors results in similar molecular and angiogenesis outcomes. Here, we analyzed single and compound genetic mutants for all Notch signaling members and found very significant differences in the way ligands and receptors regulate vascular homeostasis. Loss of Notch receptors, leads to minor vascular pathology featuring hypermitogenic MAPK-driven cell-cycle arrest and senescence. In contrast, loss of Dll4 triggers a strong Myc-driven switch towards cell proliferation and sprouting and major organ pathology. Targeting of Myc completely suppressed the proliferative and tip-cell angiogenic states induced by Dll4 loss-of-function, however, this did not avoid vascular pathology. Only VEGF blockade prevented the pathology induced by Dll4 loss, but without fully suppressing its transcriptional and metabolic programs. This study shows incongruence between single-cell transcriptional states and adult vascular phenotypes and related pathophysiology.
Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects
Authors: Liu Peng , Bo Ke , Ding Mingzhou , Fang Ruogu 
Published: April 2023

AbstractRecent neuroimaging studies have shown that the visual cortex plays an important role in representing the affective significance of visual input. The origin of these affect-specific visual representations is debated: they are intrinsic to the visual system versus they arise through reentry from frontal emotion processing structures such as the amygdala. We examined this problem by combining convolutional neural network (CNN) models of the human ventral visual cortex pre-trained on ImageNet with two datasets of affective images. Our results show that (1) in all layers of the CNN models, there were artificial neurons that responded consistently and selectively to neutral, pleasant, or unpleasant images and (2) lesioning these neurons by setting their output to 0 or enhancing these neurons by increasing their gain led to decreased or increased emotion recognition performance respectively. These results support the idea that the visual system may have the intrinsic ability to represent the affective significance of visual input and suggest that CNNs offer a fruitful platform for testing neuroscientific theories.Author SummaryThe present study shows that emotion selectivity can emerge in deep neural networks trained to recognize visual objects and the existence of the emotion-selective neurons underlies the ability of the network to recognize the emotional qualities in visual images. Obtained using two affective datasets (IAPS and NAPS) and replicated on two CNNs (VGG-16 and AlexNet), these results support the idea that the visual system may have an intrinsic ability to represent the motivational significance of sensory input and CNNs are a valuable platform for testing neuroscience ideas in a way that is not practical in empirical studies.
Axon initial segment GABA inhibits action potential generation throughout periadolescent development
Authors: Lipkin Anna M , Bender Kevin J 
Published: April 2023

ABSTRACTNeurons are remarkably polarized structures: dendrites spread and branch to receive synaptic inputs while a single axon extends and transmits action potentials to downstream targets. Neuronal polarity is maintained by the axon initial segment (AIS), a region between the soma and axon proper that is also the site of action potential (AP) generation. This polarization between dendrites and axons extends to inhibitory neurotransmission. In adulthood, the neurotransmitter GABA hyperpolarizes dendrites but instead depolarizes axons. These differences in function collide at the AIS. Multiple studies have shown that GABAergic signaling in this region can share properties of either the mature axon or mature dendrite, and that these properties evolve over a protracted period encompassing periadolescent development. Here, we explored how developmental changes in GABAergic signaling affect AP initiation. We show that GABA at the axon initial segment inhibits action potential initiation in Layer 2/3 pyramidal neurons in prefrontal cortex from mice of either sex across GABA reversal potentials observed in periadolescence. These actions occur largely through current shunts generated by GABAA receptors and changes in voltage-gated channel properties that affected the number of channels that could be recruited for AP electrogenesis. These results suggest that GABAergic neurons targeting the axon initial segment provide an inhibitory “veto” across the range of GABA polarity observed in normal adolescent development, regardless of GABAergic synapse reversal potential.
Trilliumosides A-B, two novel steroidal saponins isolated from Rhizomes ofTrillium govanianumas potent anticancer agents targeting apoptosis in A-549 cancer cell line
Authors: Lone Bashir Ahmad , Tabassum Misbah , Bhushan Anil , Dhiman Urvashi , Rani Dixhya , Gupta Prem N. , Mondhe D. M. , Gairola Sumeet , Gupta Prasoon 
Published: April 2023

AbstractTwo novel steroidal saponins, Trilliumosides A (1) and B (2) were isolated from the rhizomes ofTrillium govanianumby bioactivity-guided phytochemical investigation along with seven known compounds protodioscin (3) govanoside B (4), borassoside E (5), 20-hydroxyecdysone (6), 5-20-hydroxyecdysone (7), govanic acid (8), and diosgenin (9). The structure of novel compounds 1-2 were established using spectroscopic methods such as 1D, 2D NMR data and HR-ESI-MS. The isolated compounds were evaluated forin-vitrocytotoxic activity against a panel of human cancer cell lines. Compound1showed significant cytotoxic activity against A-549 (Lung) and SW-620 (Colon) cell lines with IC50values of 1.83 and 1.85 µM, whereas compound (2) IC50value against A-549 cell line was found to be 1.79 µM. Among previously known compounds (3), (5) and (9) their cytotoxic IC50value was found to be in the range of 5-10 µM. In detailed anticancer analysis compound (2) was seen inhibiting colony forming potential andin-vitromigration in the A-549 cell line. Furthermore, the mechanistic study of compound (2) on the A-549 cell line revealed characteristic changes including nuclear morphology, increased ROS generation, and reduced levels of MMP. Above mentioned events eventually induce apoptosis, a key hallmark in cancer studies, by upregulating the pro-apoptotic protein BAX and downregulating the anti-apoptotic protein BCL-2 thereby activating Caspase-3. Our study reports the first mechanistic anticancer evaluation of the compounds isolated from the rhizomes ofTrillium govanianumwith remarkable activity in the desired micro molar range.Graphical abstract
Photocatalytic setup for in situ and operando ambient-pressure X-ray photoelectron spectroscopy at MAX IV Laboratory
Authors: Klyushin Alexander , Ghosalya Manoj , Kokkonen Esko , Eads Calley , Jones Rosemary , Nalajala Naresh , Gopinath Chinnakonda S. , Urpelainen Samuli 
Published: April 2023

The Ambient-Pressure X-ray Photoelectron Spectroscopy (APXPS) endstation at the SPECIES beamline at MAX IV Laboratory has been improved. The latest upgrades help in performing photo-assisted experiments under operando conditions in the mbar pressure range using gas and vapour mixtures whilst also reducing beam damage to the sample caused by X-ray irradiation. This article reports on endstation upgrades for APXPS and examples of scientific cases of in situ photocatalysis, photoreduction and photo-assisted atomic layer deposition (photo-ALD).
The rise of the food truck phenomenon: an integrated model of consumers' intentions to visit food trucks
Authors: Koay Kian Yeik , Cheah Chee Wei , Ganesan Natarsha 
Published: April 2023

PurposeIn recent times, the market for food trucks has been growing due to customers seeking convenient food options. However, not many studies have been carried out to understand why consumers choose to visit food trucks. Hence, the purpose of this study is to understand consumers' intentions to visit food trucks through the theoretical lenses of the theory of planned behaviour (TPB) and the theory of consumption values (TCV).Design/methodology/approachA purposive sampling method was utilised to gather data from 203 food truck customers through a cross-sectional online survey. Data were evaluated using partial least squares structural equation modelling (PLS-SEM).FindingsThe findings indicate that attitudes, subjective norms and perceived behavioural control have a significant positive impact on consumers' intentions to visit food trucks. Furthermore, taste value, health value, emotional value and epistemic value have a significant positive effect on attitudes. However, neither price value nor interaction value has a significant impact on attitudes.Originality/valueThis study represents a pioneering effort in combining the theoretical perspectives of the TPB and the TCV to investigate consumers' intentions to visit food trucks. The resulting integrated model provides a more comprehensive understanding of the factors that influence consumers' decisions to visit food trucks. The findings are expected to furnish food truck vendors with valuable insights on crafting efficient marketing and operational tactics to retain their existing customer base and entice new consumers.
Convolutional neural network for fast adaptive beamforming of phased array weather radar
Authors: Sallam Tarek 
Published: April 2023

Purpose
The purpose of this paper is to present a deep-learning-based beamforming method for phased array weather radars, especially whose antenna arrays are equipped with large number of elements, for fast and accurate detection of weather observations.

Design/methodology/approach
The beamforming weights are computed by a convolutional neural network (CNN), which is trained with input–output pairs obtained from the Wiener solution.

Findings
To validate the robustness of the CNN-based beamformer, it is compared with the traditional beamforming methods, namely, Fourier (FR) beamforming and Capon beamforming. Moreover, the CNN is compared with a radial basis function neural network (RBFNN) which is a shallow type of neural network. It is shown that the CNN method has an excellent performance in radar signal simulations compared to the other methods. In addition to simulations, the robustness of the CNN beamformer is further validated by using real weather data collected by the phased array radar at Osaka University (PAR@OU) and compared to, besides the FR and RBFNN methods, the minimum mean square error beamforming method. It is shown that the CNN has the ability to rapidly and accurately detect the reflectivity of the PAR@OU with even less clutter level in comparison to the other methods.

Originality/value
Motivated by the inherit advantages of the CNN, this paper proposes the development of a CNN-based approach to the beamforming of PAR using both simulated and real data. In this paper, the CNN is trained on the optimum weights of Wiener solution. In simulations, it is applied on a large 32 × 32 planar phased array antenna. Moreover, it is operated on real data collected by the PAR@OU.
Comparative analysis between different risk score calculation approaches
Authors: Youssefi Iman , Celik Tolga 
Published: April 2023

PurposeTotal risk score (TRS) is considered one of the main indicators for risk evaluation. Several studies attempted to employ different types of risk indices for the evaluation of cost overrun causes. Hence, this study aims at performing a comparative analysis to evaluate the efficiency of three different approaches for TRS calculation.Design/methodology/approachThirty-eight unique causes of cost overrun in urban-related construction projects were identified and a survey was conducted among construction professionals in Iran. The TRS for each cost overrun cause is calculated using single-attribute (SA), double-attribute (DA), and multiple-attribute (MA) approaches, and eventually, causes were ranked. Furthermore, principal component analysis (PCA), logistic regression analysis (LRA), and K-means clustering are utilized to compare the differences in the generated TRS using different approaches.FindingsThe results revealed that the TRS generated through the MA approach demonstrated the highest efficiency in terms of generating correlation between causes and their identified latent constructs, prediction capability, and classification of the influential causes in the same group.Originality/valueThe originality of this study primarily stems from the adoption of statistical approaches in the evaluation of the recently introduced TRS calculation approach in comparison to traditional ones. Additionally, this study proposed a modified application of the relative importance index (RII) for risk prioritization. The results from this study are expected to fulfill the gap in previous literature toward exploring the most efficient TRS calculation approach for those researchers and practitioners who seek to utilize them as a measure to identify the influential cost overrun causes.
Intermediate-level outside-in marketing capabilities, technological innovation, and management innovation
Authors: Han Chen , Liu Jiahui , Zhang Shuman , Nielsen Bo Bernhard 
Published: April 2023

Purpose
This study aims to build a theoretical model including intermediate-level outside-in marketing capabilities (ILOIMC), radical and incremental technological innovations and management innovation.

Design/methodology/approach
This research used 272 pairs of survey questionnaires from Chinese firms’ managers to examine the hypotheses.

Findings
The results indicate that ILOIMC enhance management innovation by stimulating radical technological innovation. Furthermore, the mediating effect of incremental technological innovation depends on technological turbulence.

Research limitations/implications
This study may have several limitations which future research could try to overcome: cross-sectional data, Chinese samples, exclusive focus on ILOIMC, sociotechnical approach to innovation typology and measuring ILOIMC as a first-order variable.

Practical implications
ILOIMC can significantly improve innovations in technology and management systems by using customer value and market information.

Originality/value
This study proposes a new taxonomy to classify marketing capabilities into lower-level inside-out marketing capabilities, ILOIMC and higher-level outside-in marketing capabilities. It also provides an explicit discussion and examination of the influence of ILOIMC on technological and management innovations and the contingency effect of technological turbulence. Thus, it responds to Musarra and Morgan’s (2020) call for more research into the mechanism that explains when (the conditions under which) and how (the process by which) outside-in marketing capabilities could contribute to firm innovation.
Global overview of research data repositories: an analysis of re3data registry
Authors: Khan Aasif Mohammad , Loan Fayaz Ahmad , Parray Umer Yousuf , Rashid Sozia 
Published: April 2023

Purpose
Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.

Design/methodology/approach
The data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.

Findings
The re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.

Research limitations/implications
The main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.

Originality/value
The study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.
Untangling the influence of green human capital on green supply chain management practices through environmental education and internal environmental management
Authors: Murad Majid , Zou Shuli 
Published: April 2023

Purpose
This paper aims to investigate the impact of green human capital (GHC) on green supply chain management (GSCM) practices (environmental education and internal environmental management) and sustainable supply chain performance.

Design/methodology/approach
This study used a survey method to collect data from 350 randomly selected manufacturing firms in China, including supply chain and human resource professionals from the period of December 2021 to June 2022.

Findings
The partial least squares-structural equation modeling version 4 is applied to assess the data and test the hypotheses. Under the notion of resource-based view theory, the findings demonstrate that GHC has a positive and significant relationship with GSCM practices (environmental education and internal environmental management) and that GSCM practices are positively associated with the sustainable supply chain performance.

Practical implications
This study offers implications for Chinese manufacturing firms to use GHC on dimensions of GSCM implementations for achieving environmental, financial and social performance.

Originality/value
This study finds that GHC as a critical enabler for implementing GSCM practices, resulting in more robust and better sustainable supply chain performance (environmental, financial and social performance).