Optical sectioning methods in three-dimensional bioimaging by Jing Zhang, Wei Qiao, Rui Jin, Hongjin Li, Hui Gong, Shih-Chi Chen, Qingming Luo, Jing Yuan

“…However, the quality of 3D images is often compromised due to the intense scattering effect in biological tissues, compounded by several issues such as limited spatiotemporal resolution, low signal-to-noise ratio, inadequate depth of penetration, and high phototoxicity. …”
Get full text

AI Act as EU Legislator’s Response to Challenges of Artificial Intelligence Development by Monika Wyszomirska

“…It also points to unresolved issues of legal liability, technological control and enforcement internationally. …”
Get full text

Evolution and Spatial-temporal Shift Characteristics of Soil Erosion in Yan'An City During 1990—2020 by Xie Mingyang, Jiao Chunmeng, Han Xiaoyu, Jiao Feng

“…Nevertheless, its application needs to be further investigated and improved due to issues such as accuracy and precision, as well as its ecological significance. …”
Get full text

Innovative activity of Polish enterprises – a strategic aspect. The similarity of NACE divisions by Edyta Bielińska-Dusza, Monika Hamerska

Get full text

Challenges and Opportunities in Managing Geriatric Depression: The Role of Personalized Medicine and Age-Appropriate Therapeutic Approaches by Agnieszka Jaros, Filip Rybakowski, Judyta Cielecka-Piontek, Magdalena Paczkowska-Walendowska, Bogusław Czerny, Adam Kamińki, Rasha Wafaie Mahmoud Elsorady, Agnieszka Bienert

“…The need for age-appropriate drug delivery systems is critical, given the prevalence of polypharmacy and issues such as dysphagia among the older patients. …”
Get full text

Neuroendocrine Neoplasms of the Breast: Current Insights and Future Directions by Lei Jiang, Xinyuan Pan, Zhiqiang Lang

“…While the diagnostic criteria and treatment of breast NENs still have some unsolved issues. Objective We aim to discuss the diagnosis, treatment progress, existing problems, and future development direction of breast NENs. …”
Get full text

Characteristics of immune-active and immune-silent phenotypes of early-stage cervical carcinoma as revealed by transcriptome sequencing by O. V. Kurmyshkina, P. I. Kovchur, T. O. Volkova

“…Molecular classification, immuneheterogeneity, and the existence of distinct immunophenotypes of virus-associated cervical cancer (CeCa) remain as-yet weakly explored issues, and this is particularly true of its earliest clinical stages and pre-invasive forms: cervical intraepithelial neoplastic (CIN) lesions. …”
Get full text

Fitness exercise evaluation system based on improved DTW algorithm by Tinghang Guo, Qianhan Yin, Xinlin Liu, Yue Sun, Zhuanping Qin, Yu Han, Guangda Lu

“…The system integrates the K Nearest Neighbor (KNN) algorithm for action recognition and classification. In addition, an improved dynamic time warping (S - WFDTW) algorithm is introduced. …”
Get full text

An AI based cross‐language aspect‐level sentiment analysis model using English corpus by Jing Chen, Li Pan

“…Finally, in response to the issue of inconsistent aspect‐level information in sentence features extracted from different language channels, a multi head attention mechanism based on aspect class interaction is utilized to obtain a text attention emotion representation for a given aspect, thereby improving the accuracy of aspect‐level emotion classification. …”
Get full text

FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data by Manal Alrawis, Farah Mohammad, Saad Al-Ahmadi, Jalal Al-Muhtadi

“…These features are then processed by a Fully Connected Network (FCN) for final classification. This architecture enables the model to effectively represent hierarchical features and handle high-dimensional MRI data while mitigating issues such as overfitting and feature redundancy. …”
Get full text

A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

“…Employing various classification algorithms, including Support Vector Machines (SVMs), Logistic Regression, and Random Forest, we compare their effectiveness on both original and feature-selected datasets. …”
Get full text

Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelli... by Onur Polat, Saadin Oyucu, Muammer Türkoğlu, Hüseyin Polat, Ahmet Aksoz, Fahri Yardımcı

“…However, with the rise of smart and electric vehicles, traditional VANETs struggle with issues like scalability, management, energy efficiency, and dynamic pricing. …”
Get full text

Parallel Business Processes Modeling by G. N. Kalyanov

“…The relevance of the work is due to the need to reorganize business processes in order to improve a number of their key indicators, such as speed, cost, etc.It should be noted that the well-known models and methods of the modern theory of business processes practically do not address the issues of parallelism in them, although this direction occupies a significant place in the general theory of processes and, in addition to the actual methods of description, analysis and verification of parallel structures, also includes methods of parallelization of sequential structures.The paper proposes a classification of parallel business processes based on the types of parallel computing systems and completely covering the subject area under consideration. …”
Get full text

THE ANALYSIS OF THE CURRENT FINANCE MANAGEMENT SYSTEM OF THE CUSTOMS UNION AND THE COMMON ECONOMIC SPACE by A. Masalimova

“…The research objectives: carrying out the complex analysis of the development and evolution of the processes of raising and using own resources (budget) of EurAsEC, CU and CES focusing on the following issues: - the budget system, principles of formation and budget adoption procedures; - sources and structure of raising own money, its impact on national budgets; - classification of budget incomes, expenses and the management system. …”
Get full text

Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images by Thanh-Ha Do, Son-The Phan, Duc-Tien Du, Dinh-Quan Dang, Khanh-Hung Mai, Lars R. Hole

“…This paper proposes a new multitask deep learning model with attention gate mechanisms to work with satellite images and construct heatmaps for TC’s centering and classification. The multi-head keypoint design (MHKD) with the spatial attention mechanism (SAM) is fitted to the decoder layer using multi-resolution inputs from the encoder. …”
Get full text

Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

“…To address these issues, we propose an effective ship detection algorithm—Ship Detection Transformer (Ship-DETR). …”
Get full text

VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network by Hu Zhang, Yujia Liao, Chang Zhu, Wei Meng, Quan Liu, Sheng Q. Xie

“…Traditional rehabilitation training for stroke patients with ankle joint issues typically relies on the expertise of physicians. …”
Get full text

Catholic Martyrs and Canon Law: Reassessing the Meaning of Hagiographic Texts in Philip II’s Spain by Vittoria Feola

“…We need to consider these two issues together if we are to better understand that the story of Spanish Catholic martyrs is really not about a larger narrative of Catholics v. …”
Get full text

Long-Term Outcomes of Crooked Nose Correction: The Value of Instrumental Diagnosis Trough Nasal Grid Analysis by Riccardo Nocini

“…<b>Background</b>: Rhinoplasty is a leading cosmetic surgery, with the crooked nose being one of the most complex challenges due to its combination of functional and aesthetic issues. Involving multiple nasal components, a crooked nose remains difficult to correct, with a high recurrence rate. …”
Get full text

Minding the gap. Drug-related problems among breastfeeding women by Karolina Morze, Edyta Szałek, Magdalena Waszyk-Nowaczyk

“…Among all identified causes (n = 265), the most common were patient-related factors (47.5%, n = 126) and dispensing-related issues, particularly regarding the information provided to patients about medication safety during lactation. …”
Get full text