Adaptive Low-Power Listening MAC Protocol Based on Transmission Rates by Kwang-il Hwang, Gangman Yi

“…However, in recent years, a growing interest in various WSN applications is requiring new design factors, such as minimum delay and higher reliability, as well as energy efficiency. …”
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From tumor microenvironment to ocular hypertension: unraveling the pathogenesis and therapeutic strategies of cancer-related glaucoma by Bin Lin, Bin Lin, Bin Lin, Bin Lin, Bin Lin, Bin Lin, Dong-kan Li, Dong-kan Li, Dong-kan Li, Dong-kan Li, Dong-kan Li, Dong-kan Li

“…This review aims to clarify the risk factors, classification, diagnosis, and treatment progress of this glaucoma type. …”
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The Entangled Nature of First Language Learning, Education, and Literacy by Tan Arda Gedik

“…Drawing on studies conducted in diverse linguistic contexts, this paper argues against the universal applicability of conventional metrics such as the High Academic Attainment/Low Academic Attainment (HAA/LAA) cut-off to investigate the role of reading, advocating for a more nuanced understanding of linguistic development that considers local educational dynamics. …”
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Global datasets of geospatial-AI-resolved energy consumers including climate-driven energy demands, geographical and socioeconomic realities for a transition reset by Diego Moya, Dennis Copara, Sara Giarola, Adam Hawkes

“…This comprehensive analysis of complex interactions between climate, socioeconomic and demographic factors supports more realistic decision-making for a sustainable transition reset. …”
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Research on adaptive optimization of KNN-DBSCAN parameters based on MDT overlapping coverage data by Lu LIU, Ruijie CHEN, Jia LI

“…In the traditional network optimization, the drive test (DT) work has obvious disadvantages, such as difficult to fully test roads and buildings, large test workload, low work efficiency, long cycle, affected by human factors, unable to dynamically pay attention to the network quality of each area, and the conventional measurement report (MR) data does not have positioning information, so it is impossible to accurately locate the location where the overlapping coverage problem occured.Based on minimization drive test (MDT), the precision positioning system collected the MDT data of the underlying base station and outputted the grid with high overlapping coverage according to the overlapping coverage algorithm.Then, the sensitivity of DBSCAN algorithm to parameter setting was solved through the adaptive K-nearest neighbor density-based spatial clustering of applications with noise (KNN-DBSCAN)joint algorithm.The problem grid was unsupervised clustered, the problem contiguous area was converged, and the grid area was mapped through the cell sampling contribution.Finally, the global top cell was accurately adjusted to optimize the high overlap coverage.…”
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PRICING EMPLOYEE STOCK OPTION USING TRINOMIAL TREE METHOD by Donny Citra Lesmana, Reza Tri Ahmad Ramadhan, Siti Nurjanah, Vanaya Syahira Dharmawan

“…This study explores the Employee Stock Option (ESO) model proposed by Liao and Lyuu, which provides a robust framework for addressing critical factors such as dilution, early exercise, and employee forfeiture rates. …”
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Applying Remote Sensing to Assess Post-Fire Vegetation Recovery: A Case Study of Serra do Açor (Portugal) by Noah Wassner, Albano Figueiredo, Adélia N. Nunes

“…This study examines vegetation recovery in Serra do Açor seven years after the 2017 wildfires, using remote sensing and field data to analyze post-fire dynamics. The primary goal was to assess whether fire severity, measured via the dNBR index from Sentinel-2 imagery, impacts vegetation recovery or if site-specific factors and pre-fire floristic composition are more influential. …”
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Optimization of stamping workshop line layout based on improved PSO algorithm by Yaxuan Bi, Xin Ning, Shuai Zhao

“…This study proposes a mathematical model and introduces an enhanced Particle Swarm Optimization (PSO) algorithm to address this challenge. The improved PSO dynamically adjusts inertia weights and learning factors, effectively balancing global exploration and local exploitation to achieve more accurate and efficient optimization. …”
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Comparative analysis of cerebral circulation impairment in humans and horses: Implications for veterinary and human medicine by Khaidarov N., Abdullayeva M., Tursunova M.

“…The comparison of cerebral circulation impairment in humans and horses provides important insights into the dynamics of blood flow in the brain across different species, connecting veterinary and human medicine. …”
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An Approach to Thermal Management and Performance Throttling for Federated Computation on a Low-Cost 3D ESP32-S3 Package Stack by Yi Liu, Parth Sandeepbhai Shah, Tian Xia, Dryver Huston

“…The rise of 3D heterogeneous packaging holds promise for increased performance in applications such as AI by bringing compute and memory modules into close proximity. …”
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INCREASING THE INVESTMENT ATTRACTIVENESS OF THE AGRICULTURAL SECTOR IN RUSSIA by V. A. Tsvetkov, A. A. Shut’kov, M. N. Dudin, N. V. Lyasnikov

“…The purpose of the article is to determine the main directions of increasing the investment attractiveness of the agricultural sector in the Russian Federation.We used the following methods: a content analysis of the legal framework and scientific publications on the investment attractiveness of the agricultural sector, economic, statistical, and econometric analysis of the dynamics of the industry using special software applications (STATISTICA package).Over the past three years, the dynamics of investment in fixed capital in the agricultural sector is steadily increasing, but the volume of loans attracted is almost twice as high as the volume of investment (hence, loans are attracted to solve current problems). …”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…The HBA-LGBM model introduces four key innovations: (1) a multi-stage feature selection mechanism that dynamically filters key borrower attributes; (2) an attention-based feature enhancement layer, which prioritizes critical financial risk factors dynamically based on contextual importance; (3) a hybrid boosting strategy, integrating LightGBM with an adaptive neural network, enabling the model to capture complex borrower behavior and non-linear credit risk patterns; and (4) an advanced imbalanced learning strategy, combining synthetic data augmentation and cost-sensitive learning to mitigate class imbalance and enhance minority class predictions. …”
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Artificial intelligence and communication technologies in academia: faculty perceptions and the adoption of generative AI by Aya Shata, Kendall Hartley

“…Abstract Artificial intelligence (AI) is ushering in an era of potential transformation in various fields, especially in educational communication technologies, with tools like ChatGPT and other generative AI (GenAI) applications. This rapid proliferation and adoption of GenAI tools have sparked significant interest and concern among college professors, who are dealing with evolving dynamics in digital communication within the classroom. …”
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Indonesia Crowdfunding Cooperatives (IC Coop): Inisiatif Integrasi Koperasi Bagi Pemulihan Ekonomi Nasional Secara Kolektif by Jonathan Ersten Herawan, Yuvensius Sri Susilo, Laurensius Farel Dwi Putranto

“…The background of this paper aims to map the potential and obstacles faced by cooperatives to support national economic recovery and offer applicable recommendations for policymakers in economic recovery schemes that are more inclusive and adaptive to dynamics using qualitative descriptive methods and literature study. …”
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Evolution of genotypic and phenotypic diversity in multispecies biofilms by Cristina I. Amador, Sofia Zoe Moscovitz, Lorrie Maccario, Jakob Herschend, Isabel-Sophie Kramer, Hannah Jeckel, Vaughn S. Cooper, Knut Drescher, Thomas R. Neu, Mette Burmølle, Henriette L. Røder

“…This study investigated how these factors shape the evolutionary dynamics of Bacillus thuringiensis. …”
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Linear attention based spatiotemporal multi graph GCN for traffic flow prediction by Yanping Zhang, Wenjin Xu, Benjiang Ma, Dan Zhang, Fanli Zeng, Jiayu Yao, Hongning Yang, Zhenzhen Du

“…LASTGCN incorporates a Multifactor Fusion Unit (MFF-unit) to dynamically integrate meteorological factors, an advanced multi-graph convolutional network for spatial correlations, and the Receptance Weighted Key Value (RWKV) block, which employs a linear attention mechanism for efficient processing of historical traffic data.The model achieves computational efficiency by using RWKV, which offers advantages over Transformer-based models in handling large-scale data while capturing complex dependencies. …”
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Analisis Transformasi Sosial-Budaya dalam Tradisi Kondangan: Studi Kasus di Desa Cilimus, Kuningan, Jawa Barat by Muhammad Ihsan Aulia Rahman, Azmi Ali Yafie

“…It can be seen that many people use invitations sent via social media and messaging applications. This makes the invitation process more efficient and environmentally friendly, but it also changes the dynamics of social interaction in kondangan. …”
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EVOLUTION OF TOURISM IN THE WORLD AND NATIONAL CONTEXT by Cristiana TINDECHE, Alina Gabriela MĂRCUȚĂ, Adelaida Cristina HONȚUȘ

“…The study shows that the approach of tourism development in the European Union enjoys a lot of interest from the researchers, from many points of view: theoretical and applicative, in the aspects of planning and tourism development, regional, quantitative through modelling and prognosis, qualitatively through structural analyses on history, dynamics, trends, tourist flows, destinations and forms of tourism, etc.…”
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Modeling the Ukrainian consumption by Artem Koldovskiy, Kateryna Chernega

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Landslide Displacement Prediction Model Based on Optimal Decomposition and Deep Attention Mechanism by Shuai Ren, Kamarul Hawari Ghazali, Yuanfa Ji, Samra Urooj Khan

“…The trend component is modeled using the Autoregressive Integrated Moving Average (ARIMA) with a grid search strategy, while the periodic component is predicted using a Bidirectional Long Short-Term Memory network with an Attention mechanism (BiLSTM-Attention), which dynamically adjusts the contribution of influencing factors. …”
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