A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter by Serpil Aslan, Muhammed Yildirim

“…As users freely express their thoughts and emotions, a vast amount of data is generated, particularly in the aftermath of disasters, which can be collected quickly and directly from individuals. …”
Get full text

Pituitary Adenoma Surgery Survey: Neurosurgical Centers and Pituitary Adenomas by David Netuka, Andre Grotenhuis, Nicolas Foroglou, Francesco Zenga, Sebastien Froehlich, Florian Ringel, Nicolas Sampron, Nick Thomas, Martin Komarc, Martin Majovsky

“…Results. Data from 254 departments from 34 countries were obtained. …”
Get full text

Long-term Stochastic Forecasting of the Nuclear Energy Global Market by Vladimir Kharitonov, Uliana Kurelchuk, Sergey Masterov

“…These scenarios are developed on the basis of data provided by members of these organizsations, which confirms the reliability of the frequency distribution model used for key stages of the reactor life cycle. …”
Get full text

Collaborative Optimization on Both Weight and Fatigue Life of Fifth Wheel Based on Hybrid Random Forest with Improved BP Algorithm by Huan Xue, Chang Guo, Xiaojian Peng, Saiqing Xu, Kaixian Li, Jianwen Li

“…Quadratic optimization was conducted based on the optimal design option set, using data analysis to determine the range of values of each variable under specific constraints and to verify the stress-strain and fatigue life for very small values in the range.…”
Get full text

Detection of SSL/TLS protocol attacks based on flow spectrum theory by Shize GUO, Fan ZHANG, Zhuoxue SONG, Ziming ZHAO, Xinjie ZHAO, Xiaojuan WANG, Xiangyang LUO

“…Network attack detection plays a vital role in network security.Existing detection approaches focus on typical attack behaviors, such as Botnets and SQL injection.The widespread use of the SSL/TLS encryption protocol arises some emerging attack strategies against the SSL/TLS protocol.With the network traffic collection environment that built upon the implements of popular SSL/TLS attacks, a network traffic dataset including four SSL/TLS attacks, as well as benign flows was controlled.Considering the problems that limited observability of existing detection and limited separation of the original-flow spatiotemporal domains, a flow spectrum theory was proposed to map the threat behavior in the cyberspace from the original spatiotemporal domain to the transformed domain through the process of “potential change” and obtain the “potential variation spectrum”.The flow spectrum theory is based on a set of separable and observable feature representations to achieve efficient analysis of network flows.The key to the application of flow spectrum theory in actual cyberspace threat behavior detection is to find the potential basis matrix for a specific threat network flow under the condition of a given transformation operator.Since the SSL/TLS protocol has a strong timing relationship and state transition process in the handshake phase, and there are similarities between some SSL/TLS attacks, the detection of SSL/TLS attacks not only needs to consider timing context information, but also needs to consider the high-separation representation of TLS network flows.Based on the flow spectrum theory, the threat template idea was used to extract the potential basis matrix, and the potential basis mapping based on the long-short-term memory unit was used to map the SSL/TLS attack network flow to the flow spectrum domain space.On the self-built SSL/TLS attack network flow data set, the validity of the flow spectrum theory is verified by means of classification performance comparison, potential variation spectrum dimensionality reduction visualization, threat behavior feature weight evaluation, threat behavior spectrum division assessment, and potential variation base matrix heatmap visualization.…”
Get full text

Patient and physician exposure to X-rays at pediatric interventional cardiology – from world to Poland by Mateusz Mirowski, Joanna Domienik-Andrzejewska, Tomasz Moszura

“…The issue of establishing diagnostic reference levels was also taken into consideration during analysis. Thirty papers from period 2013 to 2023 were analyzed. …”
Get full text

Vitamin D Supplementation for Prevention of Dental Implant Failure: A Systematic Review by Alaa Makke

“…Thorough examination and analysis of local factors using available examination tools are vital to prepare the implant candidate for such treatment. …”
Get full text

IMPACT OF THE UKRAINIAN FINANCIAL CRISIS ON LOCAL SELF-GOVERNMENT FUNCTIONS by Ruslan Bedriy, Svitlana Diachenko, Sergii Shyshykin

“…The study is based on a combined legal and economic analysis, including national legislation and financial data. …”
Get full text

Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…This article explores the practical application of traditional geodetic techniques alongside advanced methods such as GNSS observations, terrestrial and mobile laser scanning, UAV photogrammetry, and satellite radar interferometry (InSAR). A comparative analysis of their accuracy, temporal resolution, cost-effectiveness, and implementation challenges is conducted. …”
Get full text

Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer by Qishan Cen, Man Wang, Siying Zhou, Hong Yang, Ye Wang

Get full text

Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records by Daniel C. Thompson, Reza Mofidi

“…Abstract Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing (NLP) offers a promising solution by automating analysis of electronic health records (EHRs). …”
Get full text

A qualitative investigation of the factors influencing eating disorder symptomology during the postpartum period by Chantelle Ecob, Debbie M Smith, Zoe Tsivos, Sarah Peters

“…Interviews were analysed using Reflexive Thematic Analysis. Results Four themes were developed within the interview data; (1) Embracing the self, (2) Motherhood: an ED enabler or protector?…”
Get full text

Performance Comparison of Prediction of Hydraulic Jump Length Under Multiple Neural Network Models by Ziyuan Xu, Zirui Liu, Yingzi Peng

“…Furthermore, we compared the performance of PINNs with other data-driven models such as Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), and Transformers. …”
Get full text

Geographic and Hospital Variations in the Use of Red Blood Cells and Tranexamic Acid among Total hip and Total Knee Arthroplasty by Ling-I Hsu, Jen-Wei Chen, Sheng-Mou Hou

“…Materials and Methods: We obtained data from the National Health Insurance database for patients who underwent THA or TKA 2017–2021. …”
Get full text

Intraoperative Administration of Esketamine is Associated with Reduced Opioid Consumption After Laparoscopic Gynecological Surgery: A Randomized Controlled Trial by Huan C, Zhang T, Jiang Y, He S, Jin J

“…Rescue analgesia was provided with injection of tramadol 100 mg.Results: In total, 120 subjects were included in data analysis. The 24 hours and 48 hours PCA opioid consumption, 24 hours and 48 hours cumulative opioid in both lower-dose and higher-dose esketamine groups were lower than those in the control group. …”
Get full text

THE BIOHARMONIZED RECONNECTION OF THE AGRICULTURAL SYSTEM IN ROMANIA'S TERRITORY IN THE PROCESS OF ADMINISTRATIVE REORGANIZATION by Romulus GRUIA, Agatha POPESCU, Liviu GACEU

“…The research methodology included: bibliographic study, data collection and processing using different procedures like: multi-criterion analysis, pointing method, weighting method, the weighted arithmetic mean, comparisons among the extreme regions etc. …”
Get full text

Risk factors and prediction models for severe radiation-induced oral mucositis in patients with nasopharyngeal carcinoma undergoing chemoradiotherapy by Yi Liang, XiaoQin Wang, XunRen Shi, XinXiong Fei

“…The practical efficacy of the prediction model was evaluated using Hosmer–Lemeshow test, receiver operating characteristic curve (ROC), and decision curve analysis (DCA). …”
Get full text

Knowledge and application of sonographic scoring models for ovarian cancer management among gynecologists in Saudi Arabia: a cross-sectional study by Rana Aldahlawi

“…Participants completed a structured questionnaire that was distributed online, designed to evaluate their knowledge and application of the RMI and ADNEX models. Data were analyzed using descriptive statistics, and factors influencing the utilization of these models were identified through multivariate logistic regression analysis. …”
Get full text

Exploring the impact of national laboratory accreditation on quality and practices: a qualitative study from a government medical college in western India by Khushali D. Parikh, Mihir P. Rupani

“…Participants were purposively selected to ensure diverse perspectives. Thematic analysis, employing an inductive approach, was validated through member checking. …”
Get full text

Genetic Investigation of Complement Pathway Genes in Type 2 Diabetic Retinopathy: An Inflammatory Perspective by Ming Ming Yang, Jun Wang, Hong Ren, Yun Duan Sun, Jiao Jie Fan, Yan Teng, Yan Bo Li

Get full text