IMU-aided adaptive mesh-grid based video motion deblurring by Ahmet Arslan, Gokhan Koray Gultekin, Afsar Saranli

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The Approach to Carbon Emission Quotas of Road Transportation: A Carbon Emission Intensity Perspective by Xiao Li, Li Gao, Jintao Liu

“…A novel approach from the perspective of carbon emission intensity of vehicle is proposed, on the basis of data envelopment analysis (DEA) model. Unlike other studies, the idea of allocation of baseline excitation is introduced and the intensity is included in the model as the baseline. …”
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The Regulation of Cytokine Networks in Hippocampal CA1 Differentiates Extinction from Those Required for the Maintenance of Contextual Fear Memory after Recall. by Birger Scholz, Amie N Doidge, Philip Barnes, Jeremy Hall, Lawrence S Wilkinson, Kerrie L Thomas

“…We investigated the distinctiveness of gene regulatory networks in CA1 associated with the extinction of contextual fear memory (CFM) after recall using Affymetrix GeneChip Rat Genome 230 2.0 Arrays. These data were compared to previously published retrieval and reconsolidation-attributed, and consolidation datasets. …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…This proposed method leverages an interactive GA with a well-designed Fitness Function and elitism-based survivor selection to enhance performance. …”
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Proteomic and metabolomic profiling reveals the underlying molecular mechanisms in modified alternate-day fasting-mediated protection against Diabetic kidney disease. by Xin Zeng, Yi-Hang Xing, Xiu-Mei Ma, Yang Long, Zong-Zhe Jiang, Yong Xu

“…<h4>Methods</h4>We implemented an MADF regimen in db/db mice on a high-fat diet, measuring blood glucose, body weight, and renal function at various times. After the intervention, we analyzed the proteome and metabolome of renal tissues.…”
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Constructing ‌mathematical Models, by Interpolation Methods, of people’s interest to listening to Quran’s voice or music by Nazeera Sedeek Barznji, Rezan Sadeq Kareem

“…For this purpose, the Interpolation Method that is used is one of the important concepts in applied mathematics, especially in Numerical Analysis, it is the process of deriving a simple function from a set of discrete data points, Interpolation Method has several types. …”
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Transcriptional patterns of cancer-related genes in primary and metastatic tumours revealed by machine learning by Faeze Keshavarz-Rahaghi, Erin Pleasance, Steven J. M. Jones

“…Additionally, transcriptional features important in classification of PTEN aberrations, such as CDCA8, AURKA, and CDC20, were found to be closely related to PTEN function. Conclusions Our findings demonstrate the utility of machine learning in interpretation of cancer genomic data and provide new avenues for development of targeted therapies tailored to individual patients with cancer. …”
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Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction by Jiang Yuan, Hua Dengxin, Wang Yufeng, Yang Xueting, Di Huige, Yan Qing

“…It takes eight meteorological and environmental parameters from 16,806 records (2018–2019) as input, which are selected principal component analysis (PCA). It features an attention-based CNN-LSTM hybrid deep learning model with specific settings: a time step of 5, a batch size of 25, 15 units in the LSTM layer, the ReLU activation function, 25 epochs, and an overfitting avoidance strategy with a dropout rate of 0.15. …”
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Estimating ionization states and continuum lowering from ab initio path integral Monte Carlo simulations for warm dense hydrogen by Hannah M. Bellenbaum, Maximilian P. Böhme, Michael Bonitz, Tilo Döppner, Luke B. Fletcher, Thomas Gawne, Dominik Kraus, Zhandos A. Moldabekov, Sebastian Schwalbe, Jan Vorberger, Tobias Dornheim

“…Ionization degree and continuum lowering are important quantities to understand how materials behave under these conditions, but can be difficult to diagnose since experimental campaigns are limited and often require model-dependent analysis. This is especially true for hydrogen, which has a comparably low scattering cross section, making high-quality data particularly difficult to obtain. …”
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Motivation, self-efficacy, and resilience in early childhood pre-service teachers' education career decision-making by Aman Simaremare, Arif Rahman, Kisno Kisno, Kamtini Kamtini

“…Structured questionnaires were used to collect data, and AMOS 26 software was used for structural equation modeling (SEM) and Pearson's correlation analysis. …”
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Rapid inspection for shaft parts in the automotive field by Yanqiang Sun, Xinyu Lv, Tianbao Tao, Baoya Zhao

“…It is equipped with key mechanical structures, including a positive and negative detection and total length measurement component, an outer diameter detection component, and an outer diameter detection and dual-flank meshing cross-bar distance measurement component. A data acquisition, analysis, and motion control system centered around a Programmable Logic Controller (PLC) has been established. …”
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Machine learning algorithms to predict depression in older adults in China: a cross-sectional study by Yan Li Qing Song, Lin Chen, Haoqiang Liu, Yue Liu

“…Self-rated health, nighttime sleep, gender, age, and cognitive function are the five most important characteristics of all models in terms of predicting the occurrence of depression.ConclusionThe occurrence of depression among China's older adult population and the critical factors leading to depression can be predicted and identified, respectively, by ML algorithms.…”
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Physical Status Relationship American Society of Anesthesia (ASA) with Time to Achieve Bromage Score 2 in Spinal Anesthesia Patients in the IBS Recovery Room of Dr Iskak Tulungagun... by Novita Ana Anggraini, Annisa Ary Saifutri, Nurma Afiani, Rahmania Ambarika

“…The Bromage score is commonly used to evaluate motor block recovery following spinal anesthesia, with the achievement of Bromage score 2 indicating partial motor function return. Purpose: This study aimed to analyze the relationship between ASA physical status and the time required to achieve Bromage score 2 in patients undergoing spinal anesthesia in the recovery room of Dr. …”
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Protein Adsorption by Basal Plane Graphite Surfaces: Molecular Images and Nano-Structured Films by A. Orasanu-Gourlay, R.H. Bradley

“…The XPS nitrogen 1s signal from adsorbed protein was found to increase as the level of adsorbed protein increased, i.e. as a function of the concentration of the protein solution. …”
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Detection and recognition of foreign objects in Pu-erh Sun-dried green tea using an improved YOLOv8 based on deep learning. by Houqiao Wang, Xiaoxue Guo, Shihao Zhang, Gongming Li, Qiang Zhao, Zejun Wang

“…The method employs an MPDIoU optimized loss function to enhance target detection performance, thereby increasing the model's precision in targeting. …”
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Next-Generation Cancer Treatment: Photoimmunotherapy’s Promise for Unresectable Head and Neck Cancers by Laura Marinela Ailioaie, Constantin Ailioaie, Gerhard Litscher

“…Traditional oncological therapies have contributed to reducing the global cancer burden; however, they have not achieved complete eradication, nor have they effectively prevented relapses, minimized toxicity, or preserved immune function. Recent advances, particularly the introduction of immune checkpoint inhibitors (ICIs) and CAR-T cell therapies, have markedly improved clinical outcomes and overall survival in certain cancer subtypes. …”
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CSCA-YOLOv8: A lightweight network model for evaluating drought resistance in mung bean. by Dongshan Jiang, Jinyang Liu, Haomiao Zhang, Wenxiang Liang, Ziqiu Luo, Wenlong An, Shicong Li, Xin Chen, Xingxing Yuan, Shangbing Gao

“…In the actual data analysis, we used the collected 4808 chlorophyll fluorescence images of the natural mung bean population under drought stress to make the Mungbean Drought Datatset(MDD) and made classification labels for each image according to different drought resistance levels, which were 0, 1, 2, 3, 4 and 5. …”
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Caregiver-reported health-related quality of life of New Zealand children born very and extremely preterm. by Gordon X H Liu, Jane E Harding, PIANO Study Team

“…However, on multivariable analysis, only intelligence quotient and motor function were associated with psychosocial HRQoL, while intelligence quotient was associated with physical HRQoL.…”
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Bridging the gap between theory and practice? Working with digital problem-based cases to strengthen student teachers as research-literate by Marianne Sandvik Tveitnes, Nina Helgevold, Vegard Moen

“…Three digital video-based cases were used, accompanied by structured group tasks and written teacher feedback. Data were collected through electronic surveys and focus group interviews and analyzed using descriptive statistics and thematic content analysis. …”
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Analyzing the Efficacy of Artificial Intelligence in Facilitating Medico-Legal Investigations and Enhancing Forensic Processes for Emergency Trauma Patients: A Systematic Review by Rajiv Ratan Singh, Sachin Kumar Tripathi, Azad Kumar Bharti, Pradeep Kumar Yadav

“…This abstract looks at the function of AI in trauma and emergency circumstances and emphasizes the medicolegal significance of the technology. …”
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