bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combinatorial transcription factor binding encodes cis-regulatory wiring of forebrain GABAergic neurogenesis
Authors: Catta-Preta Rinaldo , Lindtner Susan , Ypsilanti Athena , Price James , Abnousi Armen , Su-Feher Linda , Wang Yurong , Juric Ivan , Jones Ian R. , Akiyama Jennifer A. , Hu Ming , Shen Yin , Visel Axel , Pennacchio Len A. , Dickel Diane , Rubenstein John L R , Nord Alex S 
Published: June 2023

ABSTRACTTranscription factors (TFs) bind combinatorially to genomic cis-regulatory elements (cREs), orchestrating transcription programs. While studies of chromatin state and chromosomal interactions have revealed dynamic neurodevelopmental cRE landscapes, parallel understanding of the underlying TF binding lags. To elucidate the combinatorial TF-cRE interactions driving mouse basal ganglia development, we integrated ChIP-seq for twelve TFs, H3K4me3-associated enhancer-promoter interactions, chromatin and transcriptional state, and transgenic enhancer assays. We identified TF-cREs modules with distinct chromatin features and enhancer activity that have complementary roles driving GABAergic neurogenesis and suppressing other developmental fates. While the majority of distal cREs were bound by one or two TFs, a small proportion were extensively bound, and these enhancers also exhibited exceptional evolutionary conservation, motif density, and complex chromosomal interactions. Our results provide new insights into how modules of combinatorial TF-cRE interactions activate and repress developmental expression programs and demonstrate the value of TF binding data in modeling gene regulatory wiring.
Spatiotemporal Mapping of Brain Cilia Reveals Region-Specific Oscillation of Length and Orientation
Authors: Monfared Roudabeh Vakil , Abdelkarim Sherif , Derdeyn Pieter , Chen Kiki , Wu Hanting , Leong Kenneth , Chang Tiffany , Lee Justine , Versales Sara , Nauli Surya M. , Beier Kevin , Baldi Pierre , Alachkar Amal 
Published: June 2023

AbstractIn this study, we conducted high-throughput spatiotemporal analysis of primary cilia length and orientation across 22 mouse brain regions. We developed automated image analysis algorithms, which enabled us to examine over 10 million individual cilia, generating the largest spatiotemporal atlas of cilia. We found that cilia length and orientation display substantial variations across different brain regions and exhibit fluctuations over a 24-hour period, with region-specific peaks during light-dark phases. Our analysis revealed unique orientation patterns of cilia at 45° intervals, suggesting that cilia orientation within the brain is not random but follows specific patterns. Using BioCycle, we identified circadian rhythms of cilia length in five brain regions: nucleus accumbens core, somatosensory cortex, and three hypothalamic nuclei. Our findings present novel insights into the complex relationship between cilia dynamics, circadian rhythms, and brain function, highlighting cilia crucial role in the brain’s response to environmental changes and regulation of time-dependent physiological processes.Abstract Figure
3D Cell Aggregates Amplify Diffusion Signals
Authors: Arjmandi Hamidreza , Kanebratt Kajsa P , Vilén Liisa , Gennemark Peter , Noel Adam 
Published: June 2023

AbstractBiophysical models can predict the behavior of cell cultures including 3D cell aggregates (3DCAs), thereby reducing the need for costly and time-consuming experiments. Specifically, mass transfer models enable studying the transport of nutrients, oxygen, signaling molecules, and drugs in 3DCA. These models require the defining of boundary conditions (BC) between the 3DCA and surrounding medium. However, accurately modeling the BC that relates the inner and outer boundary concentrations at the border between the 3DCA and the medium remains a challenge that this paper addresses using both theoretical and experimental methods. The provided biophysical analysis indicates that the concentration of molecules inside boundary is higher than that at the outer boundary, revealing an amplification factor that is confirmed by a particle-based simulator (PBS). Due to the amplification factor, the PBS confirms that when a 3DCA with a low concentration of target molecules is introduced to a culture medium with a higher concentration, the molecule concentration in the medium rapidly decreases. The theoretical model and PBS simulations were used to design a pilot experiment with liver spheroids as the 3DCA and glucose as the target molecule. Experimental results agree with the proposed theory and derived properties.Author summaryThe primary objective of our research was to enable the development of reliable biophysical models for three-dimensional cell aggregates (3DCAs). To achieve this goal, we employed a combination of theoretical and experimental methods to derive and characterize the amplification boundary condition (BC), which represents the relation of inner and outer boundary concentrations at the border between a 3DCA and its surrounding medium. By understanding the amplificaiton BC, we can better comprehend the transport and diffusion processes that occur within 3DCAs.The significance of our research lies in its potential to advance the understanding of 3DCAs and their underlying biophysical processes. This knowledge is crucial for a wide range of applications, including drug design and analysis of drug dosages within tissues. This factor may provide insight into the mechanisms behind tumor development and morphogenesis. In particular, the packed structure of cancer tumors enables them to receive and trap a higher concentration of nutrients and oxygen molecules based on the amplification factor. Thus, this study could contribute to the development of novel approaches to manage and treat cancerous tissues.
Recruitment of BAG2 to DNAJ-PKAc scaffolds promotes cell survival and resistance to drug-induced apoptosis in fibrolamellar carcinoma
Authors: Lauer Sophia M , Omar Mitchell H , Golkowski Martin G , Kenerson Heidi L , Pascual Bryan C , Forbush Katherine , Smith F Donelson , Gordan John , Ong Shao-En , Yeung Raymond S , Scott John D 
Published: June 2023

ABSTRACTThe DNAJ-PKAc fusion kinase is a defining feature of the adolescent liver cancer fibrolamellar carcinoma (FLC). A single lesion on chromosome 19 generates this mutant kinase by creating a fused gene encoding the chaperonin binding domain of Hsp40 (DNAJ) in frame with the catalytic core of protein kinase A (PKAc). FLC tumors are notoriously resistant to standard chemotherapies. Aberrant kinase activity is assumed to be a contributing factor. Yet recruitment of binding partners, such as the chaperone Hsp70, implies that the scaffolding function of DNAJ- PKAc may also underlie pathogenesis. By combining proximity proteomics with biochemical analyses and photoactivation live-cell imaging we demonstrate that DNAJ-PKAc is not constrained by A-kinase anchoring proteins. Consequently, the fusion kinase phosphorylates a unique array of substrates. One validated DNAJ-PKAc target is the Bcl-2 associated athanogene 2 (BAG2), a co-chaperone recruited to the fusion kinase through association with Hsp70. Immunoblot and immunohistochemical analyses of FLC patient samples correlate increased levels of BAG2 with advanced disease and metastatic recurrences. BAG2 is linked to Bcl-2, an anti-apoptotic factor that delays cell death. Pharmacological approaches tested if the DNAJ- PKAc/Hsp70/BAG2 axis contributes to chemotherapeutic resistance in AML12DNAJ-PKAchepatocyte cell lines using the DNA damaging agent etoposide and the Bcl-2 inhibitor navitoclax. Wildtype AML12 cells were susceptible to each drug alone and in combination. In contrast, AML12DNAJ-PKAccells were moderately affected by etoposide, resistant to navitoclax, but markedly susceptible to the drug combination. These studies implicate BAG2 as a biomarker for advanced FLC and a chemotherapeutic resistance factor in DNAJ-PKAc signaling scaffolds.
Medical Expectations Survey on Artificial Intelligence Solutions in daily practice
Authors: Giavina-Bianchi Mara , Amaro Edson , Machado Birajara Soares 
Published: June 2023

ABSTRACTBackgroundArtificial intelligence (AI) applied to Medicine has become one of the hottest topics for the past years. Although scarcely used in real practice, it brings along many expectations, doubts and fears for physicians. Surveys can help to understand this situation.ObjectiveTo explore the degree of knowledge, expectations, fears and daily practice questions on AI use by physicians.Methodsan electronic survey was sent to physicians of a large hospital in Brazil, from August-September 2022.Results171 physicians responded to our survey. 54% considered themselves to have an intermediate knowledge of AI. 79% believe AI should be regulated by a Governmental Agency. If AI were reliable and available, 78% intend to use AI frequently/always for diagnosis (87%) and/or management (83%), but they were unsure about the use of AI by other health professionals (50%) or by the patients (51%). The main benefit would be increasing the speed for diagnosis and management (64%), and the worst issue, to over rely on AI and lose medical skills (71%). Physicians believe AI would be useful (94%), facilitate the work (87%), increase the number of appointments (54%), not interfere in the financial gain (58%) and not replace their jobs, but, rather, be utilized as an additional source of information (65%). In case of disagreement between AI and physicians, most answered that a third opinion should be requested (86%). There were no significant differences between the physicians’ answers according to time since graduation.Conclusionsphysicians showed to have good expectations regarding the use of AI in Medicine when applied by themselves, but not so much by others. They also have intention to use it, as long as it was approved by a Regulatory Agency. Although there was hope for the beneficial impact of AI on healthcare, it also brings specific concerns.
Knowledge management capability and organizational performance: a moderated mediation model of environmental dynamism and opportunity recognition
Authors: AlMulhim Abdullah Fahad 
Published: June 2023

PurposeKnowledge management in any organization is important in enhancing the organization’s performance. This study aims to explore the influence of knowledge management capability on organizational performance with the mediation role of opportunity recognition and the moderation effect of environmental dynamism.Design/methodology/approachThis study used an effective and well-developed survey to collect data from 387 managers working in different service organizations in the Kingdom of Saudi Arabia. Further, SmartPLS software was used for data analysis.FindingsThe outcomes confirm that knowledge management capability is directly and indirectly (via opportunity recognition) related to organizational performance. Environmental dynamism moderates the linkage between knowledge management capability and opportunity recognition, as well as between opportunity recognition and organizational performance.Research limitations/implicationsThis study provides a valuable and novel managerial and theoretical approach for management to improve firm performance with the help of knowledge management capabilities, opportunity recognition, and environmental dynamism. The findings of this paper can be implemented not only in the service sector but also in the production sector. Future studies can use this conceptual framework in different countries with the current data. Moreover, other analytical approaches can be used to check the variability of these findings.Originality/valueThis study contributes to connecting research gaps in the literature and advancing insights into how knowledge management capabilities affect organizational performance. The study explores the mediating role of opportunity recognition and environmental dynamics as moderators between knowledge management capability and opportunity recognition and between opportunity recognition and organizational performance.
Exploration of a Web-based accessibility tool for public facilities
Authors: Carlsson Gunilla , Jonsson Oskar , Olander Stefan , Salén Marianne , Månsson Lexell Eva , Slaug Björn 
Published: June 2023

Purpose
This study aims to explore how an accessibility database (AD) has been developed and implemented as a tool for facility managers to evaluate and increase the accessibility of public facilities.

Design/methodology/approach
Eight participants were strategically sampled for semi-structured interviews, and documents on the AD were gathered. The Consolidated Framework for Implementation Research (CFIR) was used for a directed content analysis of the data. The CFIR domains used for the analysis were: intervention characteristics, outer setting, inner setting, characteristics of individuals and process.

Findings
The development and implementation of the AD demonstrated the complexity in assessing and planning for increased accessibility. The communication and iterative processes within the inner as well as with the outer setting was an important part of the development and implementation, as well as anchoring each step locally, regionally and nationally, within public authorities and disability organizations.

Practical implications
The assessments of environmental barriers and the results reported in the AD can serve as a guide for identification of accessibility issues. However, singular identified barriers were reported as a fragmentation of the building regulations, and thereby when retrofitting is carried out, experts who have the competence to suggest solutions based on the entirety need to be involved to reach the goals of increased accessibility and countering of exclusion and discrimination.

Originality/value
By structuring the implementation process by means of the CFIR, facilitators and barriers of using an AD as a basis for retrofitting were revealed. The practical challenges outlined in assessing and increasing accessibility can guide facility managers when considering actions to increase accessibility.
An experimental investigation of attribute framing effects on risky sourcing behaviour: the mediating role of attention allocated to suppliers' quality information
Authors: Wong Ricky S. 
Published: June 2023

PurposeDespite its significance, research on how attribute framing affects ordering decisions in dual sourcing remains insufficient. Hence, this study investigated the effects of attribute framing in a sourcing task involving certain and uncertain qualities of two suppliers and analysed the role of attention with respect to suppliers' information in framing effects.Design/methodology/approachThe impacts of attribute framing on sourcing decisions were demonstrated in two online between-subject (2 × 2 factorial) experimental studies involving professional samples. Study 2 was an eye-tracking experiment.FindingsIn Study 1 (N = 251), participants presented with a “high-quality” rather than a “low-quality” frame made different sourcing decisions, opting for larger percentage of order(s) from a supplier under the “high-quality” frame. This pattern holds true for suppliers who differ in risk. This finding was replicated in Study 2 (N = 129). Attention asymmetry related to the information on supplier quality contributes to this effect. Attention directed towards information regarding the supplier's quality under a positive frame mediated the relationship between attribute framing and sourcing decisions.Practical implicationsHighlighting the positive attributes of a risky supplier is essential when ordering from the risky supplier is an optimal decision. It is advantageous for suppliers to highlight positive rather than negative attributes when describing the quality of their components against others.Originality/valueThis is the first study to examine the effect of attention on the relationship between attribute framing and dual sourcing. This presents a new behavioural perspective wherein managers' attention to information plays a vital role.
An empirical assessment of customer satisfaction of internet banking service quality – Hybrid model approach
Authors: Kashyap Sachin , Gupta Sanjeev , Chugh Tarun 
Published: June 2023

PurposeThe present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.Design/methodology/approachThe qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.FindingsThe success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.Research limitations/implicationsThis research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.Originality/valueThe conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector
Stimulating HRM practices through innovative culture: an empirical study on the UAE’s government agencies
Authors: Alosani Mohammed , Al-Dhaafri Hassan 
Published: June 2023

Purpose
There is an assumption that innovative culture is considered to contribute to improving human resource management (HRM) practices. However, very little is known about this topic as well as innovations within the context of the government sector. Based on that, this study aims to investigate, theoretically and empirically, the impact of innovative culture on HRM practices with the moderating role of knowledge sharing in this association.

Design/methodology/approach
The data was obtained from government agencies in the United Arab Emirates (UAE). This study used structural equation modelling to test the proposed hypotheses and SPSS to perform a preliminary analysis.

Findings
The findings show that innovative culture significantly and positively affects HRM practices. Moreover, knowledge sharing plays an important moderating role between innovative culture and HRM.

Research limitations/implications
The findings have several theoretical and practical implications. The study provides useful insights into the significance of innovative culture and knowledge sharing in stimulating HRM. The findings will help government agencies improve their employees’ capabilities by customising knowledge sharing and creating a culture that supports innovative activities within their agencies.

Originality/value
Private-sector organisations are concerned about factors that enhance innovative activities as one of the factors of development, improvement and enhancement of competitive advantage. However, in government, especially in the UAE, research into the part played by innovation remains uncommon, particularly into the role of knowledge sharing and innovative culture in enhancing HRM practices. To the best of the researchers’ knowledge, this is one of the pioneer studies to examine the impact of both innovative culture and knowledge sharing on HRM in a government environment context.
Tourists’ perceived destination image and heritage conservation intention: a comparative study of heritage and film-induced images
Authors: Zhang Su , Lo Yin-Hsi 
Published: June 2023

Purpose
Kaiping Diaolou in Guangdong Province, China, is a UNESCO World Heritage site that is often used as a film location. This study aims to investigate the antecedents of film-induced heritage conservation behaviour in tourists visiting Kaiping Diaolou. The conceptual premises of stimulus-organism-response theory were used to provide additional insight into the impact of film- and heritage-induced images, and tourists’ perceived authenticity, destination attachment and heritage conservation intention.

Design/methodology/approach
The authors tested the hypotheses using covariance-based structural equation modelling by using the data collected from the 391 valid questionnaires.

Findings
The empirical results reveal that both film- and heritage-induced images have a direct impact on tourists’ heritage conservation intention. Furthermore, perceived authenticity and destination attachment fully mediate the relationship between destination image and conservation intention, while the serial multiple mediator effect in the heritage destination image model is not significant.

Originality/value
The findings contribute to the understanding of tourists’ heritage conservation intention through the lens of destination image, perceived authenticity and destination attachment. The study’s findings enrich the literature on film and heritage tourism regarding destination image construction and heritage conservation and have implications for the sustainable development of heritage tourism and heritage conservation, as well as the marketing of heritage sites.
Tribological investigations of boride layers on Ti6Al4V at room and elevated temperatures
Authors: Zhang Dongya , Bai Ao , Du Xin , Li Gang , Wu Jiaoyi 
Published: June 2023

Purpose
This paper aims to improve the wear resistance of titanium alloy using a high-hardness boride layer, which was fabricated on Ti6Al4V by a high-temperature boronizing process.

Design/methodology/approach
The boride layers on Ti6Al4V were obtained at 1000°C for 5–15 h. Scanning electron microscopy, energy dispersive analysis and X-ray diffractometer were used to characterize the properties of the boride layer. The tribological performance of the boride layer at room and elevated temperatures was investigated.

Findings
The X-ray diffraction analysis showed that the boride layers were a dual-phase structure of TiB and TiB2. When the boronizing time increased from 5 h to 15 h, the microhardness increased from 1192 HV0.5 to 1619.8 HV0.5. At 25°C and elevated temperatures, the friction coefficients of the boride layers were higher than that of Ti6Al4V. The wear track areas of T-5 at 200°C and 400°C were 2.5 × 10–3 and 1.1 × 10–3 mm2, respectively, which were 6.1% and 2.6% of that of Ti6Al4V, indicating boride layer exhibited a significant wear resistance. The wear mechanisms of the boride layer transformed from slight peeling to oxidative wear and abrasive wear as the temperature was raised.

Originality/value
The findings provide an effective strategy for improving the wear resistance of Ti6Al4V and have important implications for the application of titanium alloy in a high-temperature field.