The multi-functional reovirus σ3 protein is a virulence factor that suppresses stress granule formation and is associated with myocardial injury. by Yingying Guo, Meleana M Hinchman, Mercedes Lewandrowski, Shaun T Cross, Danica M Sutherland, Olivia L Welsh, Terence S Dermody, John S L Parker

“…Two recombinant viruses expressing these σ3 dsRNA-binding mutants, K287T and R296T, display strikingly different phenotypes. In a cell-type dependent manner, K287T, but not R296T, replicates less efficiently than wild-type (WT) virus. …”
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Velocity Shift and Signal-to-Noise Ratio Limits for High-resolution Spectroscopy of Hot Jupiters Using Keck/KPIC by Kevin S. Hong, Luke Finnerty, Michael P. Fitzgerald

“…These simulations can be efficiently rerun for other planet models and observational parameters, which can be useful in observation planning and detection validation.…”
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Methods of security situation prediction for industrial internet fused attention mechanism and BSRU by Xiangdong HU, Zhengguo TIAN

“…The security situation prediction plays an important role in balanced and reliable work for industrial internet.In the face of massive, high-dimensional and time-series data generated in the industrial production process, traditional prediction models are difficult to accurately and efficiently predict the network security situation.Therefore, the methods of security situation prediction for industrial internet fused attention mechanism and bi-directional simple recurrent unit (BSRU) were proposed to meet the real-time and accuracy requirements of industrial production.Each security element was analyzed and processed, so that it could reflect the current network state and facilitate the calculation of the situation value.One-dimensional convolutional network was used to extract the spatial dimension features between each security element and preserve the temporal correlation between features.The BSRU network was used to extract the time dimension features between the data information and reduced the loss of historical information.Meanwhile, with the powerful parallel capability of SRU network, the training time of model was reduced.Attention mechanism was introduced to optimize the correlation weight of BSRU hidden state to highlight strong correlation factors, reduced the influence of weak correlation factors, and realized the prediction of industrial internet security situation combining attention mechanism and BSRU.The comparative experimental results show that the model reduces the training time and training error by 13.1% and 28.5% than the model using bidirectional long short-term memory network and bidirectional gated recurrent unit.Compared with the convolutional and BSRU network fusion model without attention mechanism, the prediction error is reduced by 28.8% despite the training time increased by 2%.The prediction effect under different prediction time is better than other models.Compared with other prediction network models, this model achieves the optimization of time performance and uses the attention mechanism to improve the prediction accuracy of the model under the premise of increasing a small amount of time cost.The proposed model can well fit the trend of network security situation, meanwhile, it has some advantages in multistep prediction.…”
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Paddy seeds bacterization with ACC deaminase producing endophyte Alcaligenes faecalis SSP8 regulates physiology, leaves gas exchange parameters, PSII photochemistry and antioxidant... by Shobhit Raj Vimal, Jay Shankar Singh, Sheo Mohan Prasad

“…The strain SSP8 was selected for experimental study as it efficiently tolerate NaCl (0–1200 mM), produced Indole-3-acetic acid (IAA) (46 μg mL-1) and 1-amino-1-cyclopropane-1-carboxylate (ACC) deaminase (176.70 nmol α-ketobutyrate mg-1 protein h-1). …”
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Spatial heterogeneity of menstrual discriminatory practices against Nepalese women: A population-based study using the 2022 Demographic and Health Survey. by Geoffrey Barini, Sharon Amima, Damaris Mulwa, Polycarp Mogeni

“…Policymakers should implement preventive behavioral interventions in the most vulnerable geographic areas to effectively and efficiently reduce the overall prevalence of menstrual discrimination. …”
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Assessing Head Injury of Civilian UAV Safety Systems: A Test Apparatus and Spherical Shell Example by Eric J. Hettel, Hossein Eslamiat, Mohammed Aleemuddin, Mohsen Farajijalal

“…In recent years, flying vehicles have become an innovative way to transfer parcels efficiently over a short distance. Existing airspace regulations are slow to adapt to the anticipated rise in aircraft traffic resulting from this development. …”
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Exploring Drought Responses in Mexican Soybeans: Plant Water Status, Shoot and Root Biomass, and Root System Architecture by Julio C. García‐Rodríguez, María K. Manzo‐Valencia, Víctor Olalde‐Portugal, Silvia E. Valdés‐Rodríguez

“…Genotype I700 displayed a longer root system with the highest root‐to‐shoot ratio and recovered root growth more efficiently after recovery irrigation. General effects also indicated a longer root system in this genotype. …”
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Identification of quantitative trait loci of pod dehiscence in a collection of soybean grown in the southeast of Kazakhstan by B. N. Doszhanova, A. K. Zatybekov, S. V. Didorenko, T. Suzuki, Y. Yamashita, Y. Turuspekov

“…The identified QTLs for PD can be efficiently employed in breeding for high-yield soybean cultivars.…”
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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…Automated Machine Learning (AutoML) models have emerged as a promising solution to address this challenge by systematically exploring hyperparameter spaces to identify optimal configurations efficiently. This study addresses critical gaps in the current literature by conducting a comprehensive comparative analysis of AutoML frameworks for hyperparameter optimization and evaluating the effectiveness of various explainability techniques for enhancing model interpretability. …”
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Macrophage-specific responses to human- and animal-adapted tubercle bacilli reveal pathogen and host factors driving multinucleated cell formation. by Christophe J Queval, Antony Fearns, Laure Botella, Alicia Smyth, Laura Schnettger, Morgane Mitermite, Esen Wooff, Bernardo Villarreal-Ramos, Waldo Garcia-Jimenez, Tiaan Heunis, Matthias Trost, Dirk Werling, Francisco J Salguero, Stephen V Gordon, Maximiliano G Gutierrez

“…We show that Mbv and Mtb reside in different cellular compartments and differentially replicate in hMϕ whereas both Mbv and Mtb efficiently replicate in bMϕ. …”
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Dynamically Tunable Multidimensional Feature Focusing and Diffusion Networks for Water Surface Debris Detection by Chong Zhang, Jie Yue, Jianglong Fu

“…Furthermore, a Focal-Diffuse Feature Pyramid Network (FD-FPN) was introduced to accurately capture and integrate key feature information through focused feature fusion techniques while utilizing cross-scale diffusion analysis to efficiently transfer and enhance feature information across different scales. …”
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Special Survival Strategy of First-Instar Scorpions Revealed by Synchronous Molting Behavior from Social Facilitation of Maternal Care and Reciprocal Aggregation by Yiyuan Guo, Songryong Li, Sijia Lu, Xinrong Wang, Zhijian Cao, Yingliang Wu

“…Before the molting of newborn scorpions, their mothers exhibited a remarkable ability to efficiently locate the fallen offspring and help them climb onto their back, which was supported by strong maternal behavior because they climbed more swiftly than the 7-day postpartum scorpions. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…A recent innovation, the mobile mapping system (MMS), is a versatile tool used to collect geospatial data efficiently, accurately, and quickly, with reduced time and costs compared to traditional survey methods. …”
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Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach by Iven Aabaah, Japheth Kodua Wiredu, Bakaweri Emmanuel Batowise, Nelson Abuba Seidu

“…The field of Nursing and Midwifery Informatics (NMI) aims to equip healthcare professionals with the skills to efficiently use emerging technologies in their practice. …”
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Deformation index (GDI) in grain as a criterion for wheat gluten quality by E. N. Shabolkina, S. N. Shevchenko, N. V. Anisimkina

“…These methods will allow researchers to estimate the quality of breeding material more efficiently, and agricultural producers will have a comprehensive description of gluten quality of grown grain.…”
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Improving drug–target affinity prediction by adaptive self-supervised learning by Qing Ye, Yaxin Sun

“…Through this two-stage feature extraction design, each stage undertakes specific tasks, fully leveraging the advantages of each model while efficiently integrating information from different data sources, providing a more accurate and comprehensive solution for drug-target affinity prediction. …”
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A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation by Fuhao Wei, Shaofan Wang, Yanfeng Sun, Baocai Yin

“…(a): They tend to produce discontinuous boundaries and fail to capture less salient feature, which corresponds to thin cloud pixels; (b): they are unrobust towards different scenarios. Those issues are circumvented by integrating U‐Net and the swin transformer together, with an efficiently designed dual attention mechanism based skip connection. …”
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The Role of Donations and Education Services in Kabale Municipality Kabale District. by Ampaire, Bronia

“…The study concludes that learning materials should be availed on time to the schools so that the learners can use them effectively and efficiently. The donors should have tried to ensure that the pupils had all the required learning materials. …”
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Multiple deep learning models based on MRI images in discriminating glioblastoma from solitary brain metastases: a multicentre study by Chao Kong, Ding Yan, Kai Liu, Yong Yin, Changsheng Ma

“…Conclusions A combination of multi-sequence MR images and a deep learning model can efficiently identify glioblastoma and solitary brain metastases preoperatively, and the deep learning model 3D ResNet-18 has the highest efficacy in identifying the two types of tumours.…”
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Cultural aspects of organizational agility affecting digital innovation by Dulce Goncalves, Magnus Bergquist, Richard Bunk, Sverker Alänge

“…However, we know little about why some incumbents are not able to use their resources efficiently for digital innovation and why some smaller startups can transcend these resource limitations. …”
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