Natural averaging may complement known biological constraints in sexual reproduction’s advantages over asexual in conserving species quantitative traits by Assaf Marron, Smadar Szekely, Irun R. Cohen, David Harel

“…Since survival of ecosystems depends on the ability of individuals to replace the networked interactions and interdependencies associated with failing, dying, or absent members of the same species, RoCT helps sustain species and ecosystems.…”
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The role of transposable elements in the ecological morphogenesis under the influence of stress by R. N. Mustafin, E. K. Khusnutdinova

“…These genes contain nucleotide sequences that interact with non-coding RNAs processed from transposons transcripts, and therefore they are under the control of epigenetic regulatory networks involving transposons. …”
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ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways. by Agatha Treveil, Balazs Bohar, Padhmanand Sudhakar, Lejla Gul, Luca Csabai, Marton Olbei, Martina Poletti, Matthew Madgwick, Tahila Andrighetti, Isabelle Hautefort, Dezso Modos, Tamas Korcsmaros

“…However, the wide-ranging applicability and modularity of the workflow facilitates customisation of viral context, a priori interactions and analysis methods. Through a case study of SARS-CoV-2 infected bronchial/tracheal epithelial cells, we evidence the functionality of the workflow and its ability to identify key pathways and proteins in the cellular response to infection. …”
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Graph-aware isomorphic attention for adaptive dynamics in transformers by Markus J. Buehler

“…This method leverages advanced graph modeling strategies, including Graph Isomorphism Networks (GINs), to enrich the representation of relational structures. …”
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Dual Strategy of Reconfiguration with Capacitor Placement for Improvement Reliability and Power Quality in Distribution System by Ali Nasser Hussain, Wathiq Rafa Abed, Mohanad Muneer Yaqoob

“…The concerns have been raised about the ability of distribution networks to provide adequate power for the customers with an appropriate level of quality and reliability. …”
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Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models by Heng Shi, Lurui Fang, Xiaoyang Chen, Chenghong Gu, Kang Ma, Xinsong Zhang, Zhong Zhang, Juping Gu, Eng Gee Lim

“…Abstract Smart grids represent a paradigm shift in the electricity industry, moving from traditional one‐way systems to more dynamic, interconnected networks. These grids are characterised by their intelligent automation, robust structure, and enhanced interaction with customers, backed by comprehensive monitoring and data analytics. …”
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Challenges and solutions in low‐inertia power systems with high wind penetration by Bwandakassy Elenga Baningobera, Irina Oleinikova, Kjetil Uhlen, Basanta Raj Pokhrel

“…The paper contributes to the ongoing discourse on building sustainable and reliable future transmission networks through empirical analysis and theoretical modeling. …”
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Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model by Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye

“…However, existing algorithms, such as LSTM-based and attention-based models, face challenges of high computational complexity, large parameter sizes, and limited ability to efficiently capture both temporal dependencies and spatial interactions in dynamic traffic scenarios. …”
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A Framework for Successful Crowdfunding Campaigns: Insights from Social Media (A Systematic Review) by Saeideh Sadat Alavi, Mohammad Ghadamyari, Tahmoores Sohrabi

“…Key factors include project characteristics, the entrepreneur's attributes and abilities, campaign strategy, social media activity and interactions, social network indicators, psychological factors, platform features, and moderating variables such as time constraints. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…DMGF leverages graph-based representations to capture the temporal and structural relationships within health datasets, enabling robust modeling of disease progression and patient interactions. The framework integrates multi-modal data sources and applies temporal graph convolutional networks, ensuring both scalability and adaptability to diverse tasks. …”
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Proprioceptive and Exteroceptive Information Perception in a Fabric Soft Robotic Arm via Physical Reservoir Computing with Minimal Training Data by Jun Wang, Zhi Qiao, Wenlong Zhang, Suyi Li

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EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings by Mingfeng Zhang, Aihe Yu, Xuanyu Sheng, Jisun Park, Jongtae Rhee, Kyungeun Cho

“…To overcome these challenges, we developed EmoBERTa–CNN, a hybrid framework that combines EmoBERTa’s ability to capture global semantics with the capability of convolutional neural networks (CNNs) to extract local emotional features. …”
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Role of Hornification of Cellulose Rich Biomass for Pellet Production by Björn Sjöstrand, Gunnar Henriksson, Carl-Anton Karlsson, Jonas Berghel

“…Hornification of pulps results in a reduced ability to form effective fiber networks and therefore weaker paper products. …”
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Protecting the Autonomy of Patients with Severe Mental Illness Through Psychiatric Advance Directive Peer-Facilitation by Nicholas Karasik

“…Guiding Distributive Justice: Capability Theory Capability theory is an account of justice opportunity that places a fundamental moral significance on individuals' ability to reach proper functioning and well-being.[52] Whether or not an individual can make use of a particular set of resources and convert them into a state of functioning depends on personal, sociopolitical, and environmental conditions ("conversion factors").[53] In this sense, liberty is not the absence of restraint from others or institutions but the freedom achieved through capability-enhancing relationships.[54] Within the context of bioethics, capability theory shifts focus toward creating circumstances by which individuals can direct their lives as they choose.[55] Acting in accordance with the principle of beneficence, peer-support specialists could enhance the capability of patients to be self-determined and autonomous, which would promote patient well-being and empowerment.[56] Those living with SMI, such as schizophrenia and bipolar disorder, are among the most disadvantaged in society, experiencing social and economic hardship related to their illness.[57] These individuals are often feared and rejected by others, which increases depression, lowers self-esteem, and engenders feelings of social isolation.[58] Compounding their challenges, especially for those facing structural inequalities, is insufficient access to appropriate mental health services supporting recovery.[59] Capability theory provides a sound justification for the resource distribution necessary to create and sustain a thriving network of peer-support specialists, to which those with SMI currently do not have access. …”
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Computer Teaching System Based on Internet of Things and Machine Learning by Lei Chen, Li Zhang

“…The teacher’s teaching module mainly provides students with corresponding teaching strategies according to the learning requirements and uses its own reasoning mechanism to provide intelligent guidance to the problems encountered in the teaching process; the assessment module uses assessment rules to analyze student responses, comprehensive assessment of students’ learning behaviors, attitudes, effects, and abilities. The software function is designed with SQL Server 2000 as the database server, in the case of determining the data attributes, the data online evaluation is carried out, and the distance teaching is completed by combining the network technology. …”
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A Fuzzy AHP and PCA Approach to the Role of Media in Improving Education and the Labor Market in the 21st Century by Branislav Sančanin, Aleksandra Penjišević, Dušan J. Simjanović, Branislav M. Ranđelović, Nenad O. Vesić, Maja Mladenović

“…In a hyperproductive interactive environment, where speed and cost-effectiveness often overshadow accuracy, the media’s role is increasingly shifting towards an educational function, beyond its traditional informative and entertaining roles. …”
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Innovation in Russian District Heating: Opportunities, Barriers, Mechanisms by Andrey Kovalev, Liliana Proskuryakova

“…The creation of a single vertically integrated entity in Moscow’s energy industry has limited the ability to develop alternative district heating and cooling systems. …”
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Study on the changes in the microbiome before and after seed embryo after-ripening of Fritillaria cirrhosa by Wenshang Li, Wenshang Li, Can Zhao, Can Zhao, Qian Tao, Qian Tao, Weimin Zhang, Weimin Zhang, Hai Wang, Guiqi Han, Guiqi Han, Zhuyun Yan, Zhuyun Yan

“…Microbial co-occurrence network analysis indicated that the microbiome after embryo after-ripening formed an unstable, expansive, and rapidly changing network.DiscussionIn summary, this study revealed the overall dynamics of the microbiome in Fritillaria cirrhosa seeds after embryo after-ripening and identified key microbial taxa exhibiting sharp shifts in relative abundance. …”
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Predicting wheat yield using deep learning and multi-source environmental data by Muhammad Ashfaq, Imran Khan, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…The framework employs three leading deep learning models—convolutional neural networks (CNN), recurrent neural networks (RNN), and artificial neural networks (ANN)—trained on detrended yield data from 2017 to 2022. …”
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Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis by Ke Bi, Yuxi Chen, Yuhang Hu, Song Li, Weiming Li, Zhange Yu, Lei Yu

“…The results showed that diagnostic model had favorable diagnostic prediction ability. Next, key gene regulatory networks were constructed and single-gene GSEA analysis was performed. …”
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