Disease burden of primary biliary cholangitis and associated pruritus based on a cross-sectional US claims analysis by Helen Smith, Usha Gungabissoon, Daniel C Gibbons, Gema Requena, Andrea Ribeiro de Souza

“…The PBC population was identified from the US IBM MarketScan Commercial Claims and Medicare Supplemental Database during 2016 using International Classification of Diseases 10th Revision, Clinical Modification codes (≥2 claims for PBC); the PBC-pruritus subpopulation additionally had ≥1 claim for pruritus during this period. …”
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The Life Impact Burn Recovery Evaluation (LIBRE) Profile: Historical Overview and Future Directions by Colleen M. Ryan, Jeffrey C. Schneider, Pengsheng Ni, Mary D. Slavin, Amy Acton, Ananya Vasudevan, Allan Sosa-Ebert, Lewis E. Kazis

“…Traditional clinical burn recovery outcomes focus on early physical complications and psychosocial issues, but there is a growing need for quantitative measures of long-term recovery that assess experiences deemed relevant to burn survivors. …”
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Res50-SimAM-ASPP-Unet: A Semantic Segmentation Model for High-Resolution Remote Sensing Images by Jiajing Cai, Jinmei Shi, Yu-Beng Leau, Shangyu Meng, Xiuyan Zheng, Jinghe Zhou

“…High-resolution remote sensing images contain intricate details and complex backgrounds, presenting challenges for traditional segmentation methods, which often struggle with accurate classification and contextual understanding. To address these issues, this study introduces the Res50-SimAM-ASPP-Unet model, a semantic segmentation approach for high-resolution remote sensing image processing tasks. …”
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Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity by Daniel Jiménez-López, Nuria Rodríguez-Barroso, M. Victoria Luzón, Javier Del Ser, Francisco Herrera

“…Deep learning models have an intrinsic privacy issue as they memorize parts of their training data, creating a privacy leakage. …”
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An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

“…As one of the foundational datasets in geographical information science, land use and land cover (LULC) data plays a crucial role in the study of human–environment interaction mechanisms, urban sustainable development, and other related issues. Although existing research has explored land use type recognition from remote sensing imagery, interpretation algorithms, and other perspectives, significant spatial discrepancies exist between these data products. …”
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Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

“…In this paper, a hyper cutter location source (HCLS)-data-based robotic interface is proposed to cope with the issues. Due to the HCLS-data-based robot interface, the robotic control sequence can be visually and unifiedly described as NC codes. …”
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Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…This study tackles these issues by introducing innovative image-processing techniques to analyze crash diagrams. …”
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AN ANATOMICAL REVIEW OF THE HEART'S LEFT ATRIAL APPENDAGE by A.A. IAKIMOV, A.R. SAYFULINA, A.A. GAPONOV

“…Articles related to a) heart anatomy in children or fetuses, b) animal anatomy, c) clinical aspects, d) heart anomalies, and e) methodological issues were excluded from consideration. Two primary approaches exist for describing the LAA shapes: one is based on the number of lobes. …”
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Designing a Financing Model for Small and Medium-Sized Enterprises in Iran to Improve Productivity Management by Sheida Orafaye Jamshidi, فرهاد رهبر, Ahmad Shabani, Karim Esgandari

“…<p>Financing is one of the important issues that every industry faces in some way. Therefore, in order to maximize the wealth of shareholders, one of the decisions of the managers of small and medium sized industrial units is the decisions related to financing. …”
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Application of artificial intelligence in insect pest identification - A review by Sourav Chakrabarty, Chandan Kumar Deb, Sudeep Marwaha, Md. Ashraful Haque, Deeba Kamil, Raju Bheemanahalli, Pathour Rajendra Shashank

“…However, there are obstacles to overcome, such as the scarcity of high-quality labelled datasets and scalability and affordability issues. Despite these challenges, there is significant potential for AI-powered insect pest identification and pest management. …”
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Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…Abstract Background Sleep apnea (SA) is a sleep disorder characterized by breathing interruptions, and it causes significant health risks, including cardiovascular diseases, stroke, and secondary issues such as daytime accidents. The complex nature of SA necessitates accurate and timely diagnosis. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…These models are recognized as powerful tools in many fields due to their capability to carry out several tasks such as forecasting, image classification, recognition, natural language processing, machine translation, etc. …”
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EBDet: Ellipse Feature Encode and Balanced Decoupling Label Assignment for Arbitrary-Oriented Ship Detection in Optical Remote Sensing Images by Tianqi Zhao, Yunhan Sun, Jin Qian, Zheng Li, Yunxiao Gao, Zhikang Zhao, Yongcheng Wang

“…This results in prior ship-related information not being effectively utilized. To address these issues, a ship detector based on ellipse feature encoding (EFE) and balanced decoupling label assignment strategy (EBDet) is proposed, aiming to effectively integrate ship features during the crucial detection process. …”
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Mechanisms of Microbial VOC‐Mediated Communication in Plant Ecosystems and Agricultural Applications by Qurban Ali, Abdur Rashid Khan, Waseem Raza, Muhammad Saqib Bilal, Sadia Khalid, Muhammad Ayaz, Atta‐Ur‐Rehman Khan, Sunil Mundra

“…We discussed the ethical and regulatory issues related to using mVOCs in agriculture biotechnology and their potential effects on human health and the environment. …”
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Data mining methods application in reflexive adaptation realization in e-learning systems by A. S. Bozhday, Y. I. Evseeva, A. A. Gudkov

“…In recent years, e-learning technologies are rapidly gaining momentum in their evolution. In this regard, issues related to improving the quality of software for virtual educational systems are becoming topical: increasing the period of exploitation of programs, increasing their reliability and flexibility. …”
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THE FORMATION OF PROFESSIONAL COMPETENCE OF THE TEACHER OF PRESCHOOL EDUCATION IN THE SYSTEM OF ADDITIONAL EDUCATION by Galiya H. Vakhitova

“…The author gives the classification of groups of professional competence indicators of the teacher of preschool education. …”
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Pemidanaan Terhadap Pelaku Tindak Pidana Pencabulan (Putusan Nomor 1361/Pid.B/2022/PN.Sby) by Rinda Nur Afifah, Echwan Iriyanto, Ainul Azizah

“…The urgency of this research is to evaluate the form of the public prosecutor's indictment and the judge's consideration with the aim of providing ideas and solutions to the legal issues being studied. This research uses a normative juridical method with a statutory approach and conceptual approach, and legal materials are analyzed using the deductive method. …”
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Role of myositis-specific autoantibodies in personalized therapy by Anand N Malaviya, Sanjiv Kapoor

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A survey on textual emotion cause extraction in social networks by Sancheng Peng, Lihong Cao, Guojun Wang, Zhouhao Ouyang, Yongmei Zhou, Shui Yu

“…Textual Emotion Cause Extraction (TECE) aims to automatically extract causes for a certain emotion in texts, which is an important research issue in natural language processing. It is different from the previous tasks of emotion recognition and emotion classification. …”
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Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier by Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal

“…To reduce the high dimensionality issue and improve the classification results, the BSODL-ZDADC technique designs a BSO method to choose a set of related features. …”
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