Prediction and influence factors analysis of IP backbone network traffic based on Prophet model and variance reduction by Xuan Wei

“…Among the four forecasting models constructed, the overall forecasting effectiveness is ranked from best to worst: time series Prophet combined with variance reduction model, time series Prophet model, correlation regression analysis model, and stepwise regression model. Our innovative combined model improves the average prediction accuracy of the Prophet model by 2.6 %, achieving 100 % effective prediction of traffic in all 31 provinces with an overall excellence ratio of 94 %. …”
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OMSF2: optimizing multi-scale feature fusion learning for pneumoconiosis staging diagnosis through data specificity augmentation by Xueting Ren, Surong Chu, Guohua Ji, Zijuan Zhao, Juanjuan Zhao, Yan Qiang, Yangyang Wei, Yan Wang

“…Notably, this paper innovatively proposes a method for fine learning of low-resolution micro-features in pneumoconiosis, addressing the issue of maintaining cross-layer gradient consistency under multi-scale feature fusion. …”
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RISK MANAGEMENT OF THE DEVELOPMENT OF FINANCIAL POTENTIAL OF BUSINESS ENTITIES by Nadiia Davydenko, Alina Buriak, Natalia Wasilewska, Mirosław Wasilewski

“…It has been established that currently, the biggest threats are: low business activity, a low level of technological equipment and innovation, negative profitability and slow turnover of capital, lack of access to credit for small- and medium-sized enterprises and climate changes. …”
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From bench to bedside: Developing CRISPR/Cas-based therapy for ocular diseases by Qing Zhao, Linxin Wei, Youxin Chen

“…Vision-threatening disorders, including both hereditary and multifactorial ocular diseases, necessitate innovative therapeutic approaches. The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein (Cas) has emerged as a promising tool for treating ocular diseases through gene editing and expression regulation. …”
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PFAS contamination and mitigation: A comprehensive analysis of research trends and global contributions by Motasem Y.D. Alazaiza, Tharaa M. Alzghoul, Madhusudhan Bangalore Ramu, Salem S. Abu Amr, Mohammed F.M. Abushammala

“…Overall, the research underscores the need for innovative strategies and integrated management plans to combat PFAS pollution effectively. …”
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TIBW: Task-Independent Backdoor Watermarking with Fine-Tuning Resilience for Pre-Trained Language Models by Weichuan Mo, Kongyang Chen, Yatie Xiao

“…However, their widespread adoption raises concerns about intellectual property (IP) protection, as unauthorized use can undermine innovation. Watermarking has emerged as a promising solution for model ownership verification, but its application to NLP models presents unique challenges, particularly in ensuring robustness against fine-tuning and preventing interference with downstream tasks. …”
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C-POS: A Context-Aware Adaptive Part-of-Speech Language Learning Framework by Shazia Maqsood, Abdul Shahid, Fakhra Nazar, Muhammad Asif, Muhammad Ahmad, Manuel Mazzara

“…This is because that often innovation and discoveries are done by English speaking countries. …”
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Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models by M. Sinčić, S. Bernat Gazibara, M. Rossi, S. Mihalić Arbanas

“…Therefore, the paper focuses on the crucial step of classifying continuous landslide conditioning factors for susceptibility modelling by presenting an innovative comprehensive analysis that resulted in 54 landslide susceptibility models to test 11 classification criteria (scenarios which vary from stretched values, partially stretched classes, heuristic approach, classification based on studentized contrast and landslide presence, and commonly used classification criteria, such as natural neighbour, quantiles and geometrical intervals) in combination with 5 statistical methods. …”
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Life support technology of beach glamping using renewable energy of sea waves by V. V. Mironov, Yu. A. Ivanyushin, D. A. Suglobov, D. V. Mironov, L. I. Maksimov

“…The purpose of the research is a feasibility study of the application of innovative life support technology based on renewable wave energy to provide municipal resources, including fresh water, to non-permanent accommodation facilities (beach glamping). …”
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Novel Perspectives for Sensory Analysis Applied to Piperaceae and Aromatic Herbs: A Pilot Study by Isabella Taglieri, Alessandro Tonacci, Guido Flamini, Pierina Díaz-Guerrero, Roberta Ascrizzi, Lorenzo Bachi, Giorgia Procissi, Lucia Billeci, Francesca Venturi

“…Furthermore, the present investigation, performed on 12 individuals, outlines the administration of a pilot study, merging the typical sensory analysis with emotional data collection and the innovative contribution related to the study around the Autonomic and Central Nervous System activation in consumers, performed using wearable technologies and related signal processing. …”
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An Exploratory Investigation of Chatbot Applications in Anxiety Management: A Focus on Personalized Interventions by Alexia Manole, Răzvan Cârciumaru, Rodica Brînzaș, Felicia Manole

“…Balancing technological innovation with ethical responsibility is crucial to maximize their potential benefits.…”
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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

“…By implementing a categorization system that divides the affected areas into various portions, or districts, according to the main factors contributing to flooding, namely rainfall, river discharge, and runoff, The suggested model presents novel insights into the sequential consequences of intense precipitation in the regularly inundated regions of North Bihar, India. Innovative tools can serve as valuable resources for flood forecasters and catastrophe managers to comprehend the extent of flooding and the consequential effects of intense precipitation.…”
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Dual-task-related gait patterns as possible marker of precocious and subclinical cognitive alterations in Parkinson disease by F. Di Filippo, G. De Biasi, M. Russo, C. Ricciardi, N. Pisani, A. Volzone, M. Aiello, S. Cuoco, M. Calabrese, M. Romano, P. Barone, M. Amboni

“…Peculiar prodromal gait patterns—especially those highlighted by cognitive dual task—could be considered possible markers to objectify self-reported symptoms-based construct, like SCI, and to early intercept subjects with different clinical evolutions and prognoses, even representing an innovative clustering/phenotyping tool for PD subtypes.…”
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A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model by Salman Lari, Hossein Rajabzadeh, Mohammad Kohandel, Hyock Ju Kwon

“…Validation of the PINN model's accuracy was conducted through FEM analysis, aligning closely with real-world FUS therapy scenarios. This innovative model provided physicians with a predictive tool to estimate the necrosis of tumor tissue, facilitating the customization of FUS treatment strategies for individual breast cancer patients.…”
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An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs by Arif Wibisono, Md. Jalil Piran, Hyoung-Kyu Song, Byung Moo Lee

“…This article introduces an innovative approach to the navigation of autonomous underwater vehicles (AUVs) in inspection and data acquisition missions within underwater wireless sensor networks (UWSNs). …”
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Can aid foster Africa's attainment of a just energy transition and external debt sustainability? by Kalimanshi Nsakaza, Talumba Ireen Chilipaine

“…We recommend that Power market frameworks are a viable alternative that can be created by policymakers to promote and draw in private sector investment. Through innovative financing methods including securitization, blended finance, or public-private partnerships, the private sector can also use its knowledge of financial de-risking. …”
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Green finance and urban carbon emission dual control: an empirical evidence from China by Tian Zhang, Yao Zhang, Yumin Zhang

“…Through research, it can be found that balancing the differences in green finance and carbon emission functions across regions, while fully optimizing the use and allocation mechanisms of resource elements from aspects such as technological innovation, environmental protection, and energy conservation, can enhance the quality and efficiency of economic development. …”
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Integrating telerehabilitation and serious gaming during home-based exercise intervention after stroke: A randomized controlled pilot trial of the DISKO-tool by Elisabet Åkesson, Maria Bergqvist, Maja Eder, Nanna Bäckström, Erika Franzén, Jörgen Borg, Susanne Palmcrantz

“…Background To support recovery after stroke, rehabilitative actions and innovations are needed in resource-limited health care and geographically distant regions. …”
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An interlaboratory comparison to quantify oxidative potential measurement in aerosol particles: challenges and recommendations for harmonisation by P. A. Dominutti, J.-L. Jaffrezo, A. Marsal, T. Mhadhbi, R. Elazzouzi, C. Rak, F. Cavalli, J.-P. Putaud, A. Bougiatioti, N. Mihalopoulos, N. Mihalopoulos, D. Paraskevopoulou, I. Mudway, I. Mudway, A. Nenes, A. Nenes, K. R. Daellenbach, C. Banach, S. J. Campbell, H. Cigánková, D. Contini, G. Evans, M. Georgopoulou, M. Ghanem, D. A. Glencross, D. A. Glencross, M. R. Guascito, M. R. Guascito, H. Herrmann, S. Iram, M. Jovanović, M. Jovašević-Stojanović, M. Kalberer, I. M. Kooter, S. E. Paulson, A. Patel, A. Patel, A. Patel, E. Perdrix, M. C. Pietrogrande, P. Mikuška, J.-J. Sauvain, K. Seitanidi, P. Shahpoury, E. J. d. S. Souza, S. Steimer, S. Steimer, S. Stevanovic, G. Suarez, P. S. G. Subramanian, B. Utinger, M. F. van Os, V. Verma, X. Wang, R. J. Weber, Y. Yang, X. Querol, G. Hoek, R. M. Harrison, R. M. Harrison, G. Uzu

“…This study represents an innovative effort as the first exercise specifically aimed at harmonising this type of OP assay, setting a new benchmark in the field.…”
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Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis by Jing Gao, Xinyu Chen, Xiaolian Jiang, Chenxi Wu, Huiqiong Xu, Dingxi Bai

“…Objectives Medical artificial intelligence (AI) has been used widely applied in clinical field due to its convenience and innovation. However, several policy and regulatory issues such as credibility, sharing of responsibility and ethics have raised concerns in the use of AI. …”
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