bluuebunny/crossref_metadata_2025_split huggingface dataset:
The RNA-binding domain of hnRNP U extends beyond the RGG/RG motifs
Authors: Kletzien Otto A. , Wuttke Deborah S. , Batey Robert T. 
Published: September 2023

ABSTRACTHeterogeneous nuclear ribonucleoprotein U (hnRNP U) is a ubiquitously expressed protein that regulates chromatin architecture through its interactions with numerous DNA, protein, and RNA partners. The RNA-binding domain (RBD) of hnRNP U was previously mapped to an RGG/RG element within its disordered C-terminal region, but little is understood about its binding mode and potential for selective RNA recognition. Analysis of publicly available hnRNP U enhanced UV crosslinking and immunoprecipitation (eCLIP) data identified high-confidence binding sites within human RNAs. We synthesized a set of diverse RNAs encompassing eleven of these identified crosslink sites for biochemical characterization using a combination of fluorescence anisotropy and electrophoretic mobility shift assays. Thesein vitrobinding experiments with a rationally designed set of RNAs and hnRNP U domains revealed that the RGG/RG element is a small part of a more expansive RBD that encompasses most of the disordered C-terminal region. This RBD contains a second, previously experimentally uncharacterized RGG/RG element with RNA-binding properties comparable to the canonical RGG/RG element. These RGG/RG elements serve redundant functions, with neither serving as the primary RBD. While in isolation each RGG/RG element has modest affinity for RNA, together they significantly enhance the association of hnRNP U with RNA, enabling binding of most of the designed RNA set with low to mid-nanomolar binding affinities. Identification and characterization of the complete hnRNP U RBD highlights the perils of a reductionist approach to defining biochemical activities in this system and paves the way for a detailed investigation of its RNA-binding specificity.
An RGB based deep neural network for high fidelity Fusarium head blight phenotyping in wheat
Authors: Cooper Julian , Du Chuan , Beaver Zach , Zheng Ming , Page Rae , Wodarek Joseph R. , Matny Oadi , Szinyei Tamas , Quiñones Alejandra , Anderson James A. , Smith Kevin P. , Yang Ce , Steffenson Brian J. , Hirsch Cory D. 
Published: September 2023

AbstractFusarium head blight (FHB) in wheat is an economically important disease, which can cause yield losses exceeding 50% and the causal pathogen that infects spikes produces harmful mycotoxins. Breeding for host resistance remains the most effective disease control method; but time, labor, and human subjectivity during disease scoring limits selection advancements. In this study we describe an innovative, high-throughput phenotyping rover for capturing in-field RGB images and a deep neural network pipeline for wheat spike detection and FHB disease quantification. The image analysis pipeline successfully detects wheat spikes from images under variable field conditions, segments spikes and diseased tissue in the spikes, and quantifies disease severity as the region of intersection between spike and disease masks. Model inferences on an individual spike and plot basis were compared to human visual disease scoring in the field and on imagery for model evaluation. The precision and throughput of the model surpassed traditional field rating methods. The accuracy of FHB severity assessments of the model was equivalent to human disease annotations of images, however individual spike disease assessment was influenced by field location. The model was able to quantify FHB in images taken with different camera orientations in an unseen year, which demonstrates strong generalizability. This innovative pipeline represents a breakthrough in FHB phenotyping, offering precise and efficient assessment of FHB on both individual spikes and plot aggregates. The model is robust to different conditions and the potential to standardize disease evaluation methods across the community make it a valuable tool for studying and managing this economically significant fungal disease.
The Shiga toxin (Stx)-Phage Encoded Ribosomal RNA Methyltransferase Regulates Stx-producingEscherichia coli(STEC) Virulence by Blocking Stx-Mediated Inactivation of Bacterial Ribosomes
Authors: Gong Chen , Koudelka Gerald B. 
Published: September 2023

AbstractShiga toxin (Stx) produced and released after induction of Stx-encoding prophage resident within Shiga toxin producingE. coli(STEC) causes life-threatening illness. We previously identified that a two-subunit Stx prophage-encoded 16S rRNA methyltransferase, M.ECPA8_3172P-PNB-2, which is both uniquely encoded by and commonly found in Stx2- encoding bacteriophage, regulates both prophage spontaneous induction and STEC virulence. We found here that sequential deletion of these two subunits leads to concomitant, progressive reduction in both prophage spontaneous induction and STEC virulence. This observation indicates that these outcomes are linked. The translation activity of extracts made from a ΔM.ECPA8_3172PΔPNB-2 Stx prophage-containing strain was lower that of extracts made from either the methyltransferase replete STEC strain or from a strain that did not contain a Stx-encoding prophage. We found that the ΔM.ECPA8_3172PΔPNB-2 STEC strain contained significantly fewer ribosomes that did the methyltransferase replete STEC strain. These observations suggested that the M.ECPA8_3172P-PNB-2 methyltransferase may block Stx-mediated ribosome inactivation. Consistent with this idea, we found that translation extracts made from STEC expressing M.ECPA8_3172P-PNB-2 are more resistant to Stx- mediated inactivation than are those made from ΔM.ECPA8_3172PΔPNB-2 STEC. These findings indicate the M.ECPA8_3172P-PNB-2 methylation of 16S rRNA protects the ribosome from Stx-mediated inactivation, thereby allowing more phage and more Stx to be spontaneously produced. Direct 16S rRNA sequencing identified 4 putative M.ECPA8_3172P-PNB-2 methylation sites, all of which map onto the RNA polymerase contacting surface of the 30S ribosome subunit in the expressome, suggesting the M.ECPA8_3172P-PNB-2 may protect the ribosome from inactivation by stabilizing this complex.
Mitochondrial outer membrane integrity regulates a ubiquitin-dependent NF-κB inflammatory response
Authors: Vringer Esmee , Riley Joel S , Black Annabel , Cloix Catherine , Lilla Sergio , Walczak Henning , Gyrd-Hansen Mads , Huang Danny T , Zanivan Sara , Tait Stephen WG 
Published: September 2023

AbstractMitochondria are often essential for apoptosis through mitochondrial outer membrane permeabilization (MOMP). This central event enables cytochromecrelease leading to caspase activation and rapid cell death. Recently, MOMP has been shown to be inherently pro-inflammatory, for instance, by enabling mitochondrial DNA-dependent activation of cGAS-STING signalling. Alongside having emerging functions in health and disease, MOMP associated inflammation can also elicit anti-tumour immunity. Nonetheless, how MOMP triggers inflammation and how the cell counteracts this remains poorly defined. We find that upon MOMP, mitochondria are ubiquitylated in a promiscuous manner targeting proteins localised to both inner and outer mitochondrial membranes. Mitochondrial ubiquitylation serves to recruit the essential adaptor molecule, NEMO, leading to activation of pro-inflammatory NF-κB signalling. We find that disruption of mitochondrial outer membrane integrity through different means leads to engagement of a similar pro-inflammatory signalling platform. Thus, mitochondrial integrity directly controls inflammation, such that permeabilised mitochondria initiate NF-κB signalling. This event may be important for the various pathophysiological functions of MOMP-associated inflammation.
Visible time window calculation based on map segmentation for task planning
Authors: Wang Yue , Zhao Han , Yang Haiyue , Song Xiangshuai 
Published: September 2023

Purpose
The visible time window (VTW) calculation of satellites to ground targets is significant for Earth observation satellites' operation management and control. With the improvement of satellite maneuvering capability and the complexity of on-orbit observation tasks, the traditional VTW calculation methods can no longer meet the demands of satellite operation management and control due to a large amount of calculation and low efficiency. The purpose of this study is to propose a fast VTW calculation method based on map segmentation named map segmentation method (MSM), to improve the calculation efficiency, and further solve this problem.

Design/methodology/approach
The main feature of the MSM method is to segment the map and subsatellite trajectories and traverse the subsatellite points within a specific range around the target, significantly reducing the search space and the amount of computation and improving computational efficiency.

Findings
Numerical simulations for two satellite orbits are implemented to verify the feasibility of the proposed VTW calculation method, and the traditional traversal method (TM) is also performed for comparative analysis. The results show that the proposed method can obtain the same VTW, using less calculation time than the TM. The computational efficiency is significantly improved, especially for many tasks. The calculation time of observing 500 targets is saved by more than 70%, indicating a broad application prospect.

Originality/value
This paper proposes an original VTW calculation method based on map segmentation to improve the calculation efficiency. The simulation scenarios are designed to verify the accuracy and effectiveness of the proposed method, and the observation targets are randomly distributed on the map. For comparative analysis, the TM is also performed under the same simulation conditions.
Exploring the effect of perceived fun at work on hospitality employees’ behaviors in and out of work
Authors: Abdelmotaleb Moustafa 
Published: September 2023

Purpose
The purpose of this study is to draw on positive psychology literature and the affective spillover theory to gain a comprehensive understanding of the effects of perceived workplace fun (WF) on hospitality employees’ behaviors in and out of work.

Design/methodology/approach
Multirater data were collected via surveys from 247 hospitality employees and their direct supervisors and spouses. Data were analyzed using the AMOS and Macro processes in SPSS.

Findings
The results revealed that employees’ positive affect at work mediates the relationship between perceived WF and both employees’ organizational citizenship behaviors (OCBs) and family-related social behaviors (i.e. engagement in social activities outside work with their spouses). Personal attitudes toward fun at work moderate the indirect association between perceived WF and the study outcomes (OCBs and family-related social behaviors).

Social implications
By fostering a workplace environment that prioritizes the perception of enjoyment, organizations can effectively stimulate greater employee engagement in OCBs and promote positive social interactions beyond the workplace. It underscores the significance of an enjoyable environment that benefits employees, organizations and society.

Originality/value
This study extends the existing research on the relationship between WF and employees’ behaviors in and out of work and provides new insights into the underlying mechanisms that influence this relationship.
Game theory in entrepreneurship: a review of the literature
Authors: AlOmari Abdallah M.H. 
Published: September 2023

PurposeThe purpose of this paper is to review the utilization of game theory in the entrepreneurship literature. Game theory can potentially be employed to assess strategies incentivizing productive entrepreneurial activities and subsequent economic development. Therefore, the author reviews entrepreneurship articles and explores the application of game-theoretic models and concepts in the literature.Design/methodology/approachFirst, the author provides an overview of the entrepreneurship ecosystem concept, highlighting key challenges in its study. The author also briefly highlights successful applications of game theory in the innovation literature. Second, the author systematically reviews and synthesizes entrepreneurship research employing game-theoretic models and concepts. The author's objective is to provide a state-of-the-art overview of the use of game theory in entrepreneurship.FindingsBroadly, the author categorizes entrepreneurship-game theory articles into three groups based on their scope and purpose: entrepreneurial policy applications, inter-firm applications and entrepreneurship theory applications. Entrepreneurial policy applications include entrepreneurs and the government or policy as the main players in a game. Inter-firm applications encompass games between entrepreneurs and other private entities. Entrepreneurship theory applications include articles that utilize game theory to advance the author's understanding of entrepreneurial behavior and/or mechanisms in the market.Originality/valueTo the best of the author's knowledge, no previous paper has reviewed the use of game-theoretic approaches and models in entrepreneurship literature. This study addresses this research gap.
Developing green knowledge toward supplier selection: a green intellectual capital perspective
Authors: Ograh Tonny , Ayarkwa Joshua , Acheampong Alex , Osei-Asibey Dickson 
Published: September 2023

Purpose
There is sufficient literature on green knowledge regarding supplier selections. Notwithstanding, there are hardly any empirical studies that analyze green knowledge toward supplier selection through the lenses of green intellectual capital (GIC). This paper aims to analyze green knowledge development toward supplier selection through the lenses of GIC.

Design/methodology/approach
This study uses an exploratory case study approach involving seven public universities in Ghana. A purposive sampling technique was used in selecting respondents who were interviewed through face-to-face and focus group discussions with a semistructured interview guide. Atlas ti software was used to generate themes for discussion.

Findings
The findings of this study attribute the nonapplication of green criteria to supplier selection to low knowledge among practitioners. Training, collaboration, opportunities for further studies and affiliation with professional bodies were identified as means to enhance green knowledge. Green human capital factors that support knowledge enhancement include commitment, capability, skills and ease of understanding.

Practical implications
Green procurement practitioners in public universities in developing countries stand little chance of integrating green criteria into supplier selection if they do not develop their level of knowledge.

Social implications
Selecting green suppliers is a complex issue for public organizations, particularly universities. This study would therefore help equip managers of public universities and procurement practitioners with the relevant GIC knowledge for the successful integration of green credentials into supplier selection.

Originality/value
This paper highlights the importance of knowledge in green supplier selection. To the best of the authors’ knowledge, analyzing the role of GIC in knowledge development is considered the first of this kind of study.
A search of investors' trading practices in the Bangladesh capital market
Authors: Ghosh Sutap Kumar 
Published: September 2023

PurposeThis research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.Design/methodology/approachUtilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.FindingsThe coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.Research limitations/implicationsThis investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.Practical implicationsThe conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.Originality/valueThis study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.
Selective dissemination of information (SDI) in the age of artificial intelligence (AI)
Authors: Soleymani Hooman , Saeidnia Hamid Reza , Ausloos Marcel , Hassanzadeh Mohammad 
Published: September 2023

Purpose
In this study, the authors seek to introduce ways that show that in the age of artificial intelligence (AI), selective dissemination of information (SDI) performance can be greatly enhanced by leveraging AI technologies and algorithms.

Design/methodology/approach
AI holds significant potential for the SDI. In the age of AI, SDI can be greatly enhanced by leveraging AI technologies and algorithms. The authors discuss SDI technique used to filter and distribute relevant information to stakeholders based on the pertinent modern literature.

Findings
The following conceptual indicators of AI can be utilized for obtaining a better performance measure of SDI: intelligent recommendation systems, natural language processing, automated content classification, contextual understanding, intelligent alert systems, real-time information updates, intelligent alert systems, real-time information updates, adaptive learning, content summarization and synthesis.

Originality/value
The authors propose the general framework in which AI can greatly enhance the performance of SDI but also emphasize that there are challenges to consider. These include ensuring data privacy, avoiding algorithmic biases, ensuring transparency and accountability of AI systems and addressing concerns related to information overload.
Potential distribution of the critically endangered dragonfly Libellula angelina (Odonata: Libellulidae) under shared socio‐economic pathways
Authors: Hong Jinsol , Kwon Soon Jik , Lee Chang‐Su , Choi Jong‐Yun , Cho Kijong , Kim Hong Geun 
Published: September 2023

AbstractLibellula angelina is an endangered dragonfly species that is native to East Asia. Recently, their population has become severely reduced through habitat loss. To protect L. angelina populations, we need to understand which factors determine their distribution and how their potential habitats will change in the future. In this study, the habitat preference of L. angelina was identified through field surveys, and the potential distribution of L. angelina and the impact of integrated climate–land cover changes were simulated using the MaxEnt model. Furthermore, the wetland loss scenario was applied to areas where the current trend in wetland loss will continue in the future. The field survey identified that L. angelina prefers small inland wetlands: permanent freshwater, ponds; permanent rivers, ponds; irrigated land; and estuarine waters. From the MaxEnt results, altitude was the variable with the greatest contribution and distance from wetlands was the most unique variable. MaxEnt described the geographic pattern of occurrences under the current climate well, with few areas requiring any further survey. In the future projection, the potential habitat area was increased by up to 48.8% and 30.6% in the 2050s and 2080s, respectively. However, potential habitat loss was expected if wetlands continue to decline as they have done in the last 20 years. The wetland loss scenario resulted in potential habitat losses of 1.9%–2.3% and 4.5%–6.1% in the 2050s and 2080s, respectively. Therefore, to protect L. angelina populations we must minimize the loss of current populations, secure wetlands and strengthen the connectivity between wetlands.
Critical stage and key natural mortality factors of Hypothenemus hampei in commercial coffee plantations
Authors: Chediak Mateus , Silva Gerson Adriano , das Graças do Carmo Daiane , de Freitas Damaris Rosa , Bacci Leandro , Lima Eraldo , Samuels Richard Ian , Picanço Marcelo Coutinho 
Published: September 2023

AbstractThe coffee berry borer, Hypothenemus hampei (Ferrari) (Coleoptera: Scolytidae), is one of the most important coffee pests, and is present in almost all countries producing this crop, causing annual losses of US$350 million. Natural factors regulate H. hampei populations in coffee crops. Ecological life table analysis is a robust tool that allows the estimation of the mortality caused by these factors. Therefore, the main objective of this study was to determine the critical stage and the key mortality factors affecting H. hampei in the field. Data for constructing life tables were collected over 2 years in six coffee plantations in the regions of Paula Cândido and Viçosa, Minas Gerais State, Brazil. The average mortality of H. hampei was 75.34% ± 5.85%. The mortality at each developmental stage was 24.32% ± 2.83% (eggs), 7.29% ± 1.01% (first instar), 11.58% ± 1.46% (second instar), 9.68% ± 1.10% (third instar), 7.45% ± 1.01% (pupa), and 15.02% ± 1.29% (adult; n = 124). The mortality factors observed and quantified in this study were parasitism by Prorops nasuta (Hymenoptera: Bethylidae), predation by ants (Crematogaster spp., Pheidole spp. and Solenopsis spp.), physiological disorders and fungal infection by Beauveria bassiana and Metarhizium anisopliae. The critical mortality stage of H. hampei was the adult stage. The key factors for mortality of H. hampei adults were predatory ants, followed by B. bassiana and malformations (these insects had deformities in the head, wings, legs, or abdomen). This information is essential to conserve the activities of natural enemies and, thus maintain H. hampei natural mortality factors in coffee plantations, reducing damage to the crops and the need for excessive insecticide interventions.