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Triple-negative breast cancer (TNBC), recognised as the most aggressive subtype of breast cancer, has a high recurrence rate and poor treatment outcomes. Current diagnosis relies heavily on immunohistochemistry, which can be time-consuming and costly, while pr…
pubmed
Zhang XM, Zhou HJ, Chen Q, Wang X 等
2025 Nov
置信度 0.82
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Artificial intelligence large language models (LLMs), such as Chat Generative Pre-Trained Transformer 4 (Chat-GPT) by OpenAI and Bard by Google, emerged in 2022 as tools for answering questions, providing information, and offering suggestions to the layperson.…
pubmed
Abgin Y, Umemoto K, Goulian A, Vasquez M 等
2025 Dec
置信度 0.82
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Radiomics involves the extraction and analysis of numerous quantitative features of medical imaging which can add more information from radiological images often beyond initial comprehension of a clinician. Unlike deep learning, radiomics allows some understan…
pubmed
Tenhoeve SA, Lefler S, Brown J, Owens MR 等
2025 Dec
置信度 0.82
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Artificial intelligence (AI) has the potential to improve diagnostic accuracy and efficiency in breast imaging. Though radiologists appreciate its benefits and limitations, patients' receptiveness and understanding of AI in breast imaging remain unclear. We ai…
pubmed
Ameri S, Mehran N, Margolies LR
2025 Dec
置信度 0.82
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Research is a pillar of neonatal care, with millions of dollars invested towards improving outcomes for critically ill newborns. Traditionally, research programs have focused on primary research, rather than region-specific or family-focused needs, which adds …
pubmed
August D, Meyles C, Chapple L, Cooke L 等
2025 Nov
置信度 0.82
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Acute kidney injury (AKI) is a serious condition characterized by a rapid decline in renal function, leading to severe complications. Recent findings suggest that cuproptosis-related genes (CuRGs) influence AKI mechanisms. This study investigated CuRGs' role i…
pubmed
Gao X, Liu X, Liao H, Li R
2025 Oct 24
置信度 0.82
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Successfully completing clinical trials for rare and heterogeneous disorders, like spinal cord injuries (SCI), remains challenging, thereby reducing the ability to test and translate promising preclinical findings. We propose synthetic controls, derived from d…
pubmed
Lukas LP, Håkansson S, Tuci M, Torres-Espín A 等
2025 Oct 24
置信度 0.82
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The World Health Organization has identified Stenotrophomonas maltophilia (SM) as a high-risk antibiotic-resistant pathogen. Notably, determining the effectiveness of current antibiotics against SM is challenging, leading to improper therapy and the spread of …
pubmed
Lin TH, Chung HY, Jian MJ, Chang CK 等
2025 Oct 24
置信度 0.82
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To improve the initial risk assessment capability for emergency chest pain patients without relying on laboratory test results.
pubmed
Li Y, Jiang S, Dai S, Jiang C 等
2025 Oct 24
置信度 0.82
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Ulcerative colitis (UC) is a chronic inflammatory bowel disease with a complex pathogenesis and limited treatment options. Recently, necroptosis has been found to play a significant role in UC. This study aimed to investigate necroptosis-related mechanisms and…
pubmed
Chen J, Feng C, Liu Y, Cai Z
2025 Oct 24
置信度 0.82
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This study aimed to evaluate the predictive value of preoperative systemic inflammatory indices for in-hospital mortality in patients with sino-nasal-orbital mucormycosis.
pubmed
Celik B, Gul F, Serifler S, Bulut KS 等
2026 Jan
置信度 0.82
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In 2024, the reproductive biology research community in Australia and New Zealand reunited in Adelaide for the Society for Reproductive Biology (SRB) Annual Meeting. The conference showcased major advances made in key areas of reproductive biology, with sympos…
pubmed
Chan HY, Alesi LR, Dinh DT, Foyle KL 等
2025 Nov 24
置信度 0.82
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Peritoneal metastases (PM) significantly impact treatment options and prognosis of patients with cancer. Early detection and accurate evaluation are essential for guiding clinical decisions. This systematic review and meta-analysis aimed to provide a comprehen…
pubmed
Fleurkens-Ewals LJS, Tops-Welten M, Claessens CHB, Piek JMJ 等
2025 Nov
置信度 0.82
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Artificial intelligence (AI) is transforming dental education by enhancing diagnostic precision and personalized learning. This study aimed to investigate faculty perspectives on integrating AI into orthodontic and interdisciplinary dental curricula and identi…
pubmed
Chutia J, Rupali R, Jain M, Angel A 等
2025 Sep
置信度 0.82
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This study evaluates the effectiveness of AI-enhanced "One Body Two Wings" pharmacovigilance models in China, focusing on improving medication safety and risk management. As the pharmaceutical landscape grows more complex, integrating AI into pharmacovigilance…
pubmed
Yang J, Sun Y, Li F, Wei Q 等
2025
置信度 0.82
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Gastric cancer is a high-incidence malignancy that poses a serious threat to public health in China, ranking among the top three cancers in both incidence and mortality. The majority of patients are diagnosed at an advanced stage, resulting in limited treatmen…
pubmed
Li Z, Ji J, Li G, Li Z 等
2025 Oct 18
置信度 0.82
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This study aimed to investigate whether a real-time artificial intelligence (AI)-assisted polyp detection system can improve adenoma detection rates (ADRs) in real-world colonoscopy practice.
pubmed
Ham DY, Lee JG, Ahn CI, Kae SH 等
2025 Oct 23
置信度 0.82
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Pharmacogenomics (PGx) tailors drug treatments to an individual's genetic profile and contributes to improved efficacy and reduced adverse drug reactions. Community pharmacists have shown interest in PGx, and Dutch pharmacists have been early adopters in apply…
pubmed
Kiani P, Bet PM, Jessurun NT, Hoogland P 等
2026 Apr
置信度 0.82
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Abstract Background Nowadays, generative artificial intelligence (GAI) drives medical education toward enhanced intelligence, personalization, and interactivity. With its vast generative abilities and diverse applications, GAI redefines how educational resourc…
pubmed
Lin Y, Luo Z, Ye Z, Zhong N 等
2025 Oct 23
置信度 0.82
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Neoadjuvant chemoimmunotherapy (NACI) has significantly improved survival in patients with resectable non-small cell lung cancer (NSCLC). However, with the currently available methods (PD-L1, RECIST), it is difficult to predict who will benefit from treatment …
pubmed
Ye G, Wei Z, Han C, Wu G 等
2025 Nov
置信度 0.82
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Cholera remains a persistent and deadly global public health threat, with recent years witnessing a resurgence of large-scale outbreaks, particularly in conflict-affected and resource-limited regions. The disease disproportionately affects vulnerable populatio…
pubmed
Mohamed MG, Dabou EAA, Abdelsamad S, Elsalous SH
2025
置信度 0.82
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To describe usage patterns of artificial intelligence (AI)-powered chatbots (AICs) among physical therapy (PT) students and explore the associations between students' demographic and academic characteristics and their patterns of AIC utilization.
pubmed
El-Sobkey SB, Al-Amir Mohamed D, ElKholy M, Abdeldayem T 等
2025 Oct
置信度 0.82
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Photoacoustic computed tomography (PACT) reveals biological structures, pharmacokinetics, and physiological functions. Although a premium PACT system with many ultrasound (US) transducers delivers high-quality volumetric imaging, it suffers from high system co…
pubmed
Jeong H, Oh S, Choi S, Kim J 等
2026 Jan
置信度 0.82
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Carbapenemase-Producing Enterobacteriace (CPE) poses a critical concern for infection prevention and control in hospitals. However, predictive modeling of previously highlighted CPE-associated risks such as readmission, mortality, and extended length of stay (…
pubmed
Pham MK, Mai TT, Crane M, Brennan R 等
2025 Oct 22
置信度 0.82
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Jelmer M. Wolterink, Anirban Mukhopadhyay
2022-04-22T01:03:34Z
置信度 0.70
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The medical domain is often subject to information overload. The digitization of healthcare, constant updates to online medical repositories, and increasing availability of biomedical datasets make it challenging to effectively analyze the data. This creates a…
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Ozan Ozyegen, Devika Kabe, Mucahit Cevik
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In the near future, nearly every type of clinician, from paramedics to certificated medical specialists, will be expected to utilize artificial intelligence (AI) technology, and deep learning (DL) in particular (1). In terms of exceeding human ability, DL has …
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In order to solve the problem of the lack of annotated image data languages, AI-driven digital art generation model optimization methods are proposed. In this paper, we study Multilingual TTI (MTTI) and the current neural machine translation-guided MTTI system…
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The study investigated the effect of artificial intelligence and accounting profession in Nigeria. The study employed a field survey research design. The population of this study are accountants in Nigeria considering the Big Four which include KPMG, Deloitte,…
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2024-09-12T09:40:13Z
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International Society for Science & Religion's 2025 Book Prize recipient, in the category of books for professionals and educators Artificial intelligence (AI) is rarely out of the news or the public imagination. Images of red-eyed Terminators illustrate press…
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Beth Singler
2024-09-18T12:34:06Z
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2026-01-27T04:49:42Z
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Nowadays, Artificial Intelligence (AI) and Multimodal Emotion Analysis represent cutting-edge advancements in the realm of computational intelligence.AI, the emulation of human cognitive processes by machines, has revolutionized various fields, including emoti…
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Hongji Zhou
2024-09-23T07:02:38Z
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The article analyses the possibilities and features of using artificial intelligence technologies in the educational process of higher medical schools in the conditions of digitalisation and transformation of the learning environment. Modern approaches to the …
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Oksana Boyko, Olesia Chaban, Oleh Chaban
2026-03-29T16:42:59Z
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Symbolic decision procedures offer a flexible alternative to classical quantitative procedures for decision making, particularly when precise parameters (such as probabilities) are hard to estimate. One such procedure, based on a logic of argumentation, is des…
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J. Huang, J. Fox, C. Gordon, A. Jackson-Smale
2004-04-23T09:53:05Z
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Artificial Intelligence (AI) is rapidly transforming the healthcare landscape by enhancing diagnostic accuracy, personalizing treatment, and improving operational efficiency. This paper explores the innovations driven by AI technologies, such as machine learni…
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Dr. Amna B. Sadiq
2026-04-14T05:50:27Z
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Yuxia Zhao
2024-09-19T17:00:37Z
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Gao Yun
2024-09-19T17:00:37Z
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This chapter is not an exhaustive historical record of research in the field of building robots with AI that move and interact in the real world. Rather, it is a sample of current ideas in this field. Note, the term “embodied” is often used to refer to a physi…
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Eitan Michael Azoff
2024-08-02T13:21:42Z
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Abstract The advancement of Artificial Intelligence (AI) and Machine Learning (ML) has profound implications for both the utility and security of our digital interactions. This paper investigates the transformative role of Generative AI in Social Engineering (…
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Marc Schmitt, Ivan Flechais
2024-10-12T01:02:05Z
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This chapter highlights the relevance of artificial intelligence (AI) and machine learning (ML) to library and archive work through various pilot projects conducted in libraries and archives. It describes several projects that leveraged machine learning (ML) t…
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Bohyun Kim
2024-12-03T05:14:19Z
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Abstract This study explores the practical applications of artificial intelligence (AI) in medical imaging, focusing on machine learning classifiers and deep learning models. The aim is to improve detection processes and diagnose diseases effectively. The stud…
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Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala 等
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This article explores the impact of artificial intelligence (AI) on healthcare, including its opportunities and challenges. AI is rapidly transforming healthcare by improving diagnosis and treatment, streamlining administrative tasks, and reducing costs. The a…
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Soft tissue properties are important to many modern applications of technology to medicine, such as robotic surgery, soft tissue modeling, and surgical simulation with force feedback. However, realistic acquisition of soft tissue properties is extremely challe…
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In today's social environment, the risk of breast cancer for women is increasing, and breast cancer has exceeded lung cancer as the most common cancer nowadays.However, if detect breast cancer at an early stage and measures are taken, it can be very effective …
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Ziwen Fang
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The application of artificial intelligence (AI) in medical materials has been extensively explored, encompassing areas such as composition optimization, shape design, and manufacturing processes. However, a comprehensive study and analysis of the overall resea…
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Enzo Maria Le Fevre, Giselle Heleg
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In order to solve the problem of poor clarity, interactivity and fidelity of traditional industrial design visual display, the research and application of industrial design optimization algorithm based on artificial intelligence is proposed. This paper uses NC…
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Wanjun Yin
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It is important for businesses to follow developing technologies to survive. They also need to integrate these innovations into their own systems. No expense should be spared to win in the sectoral struggle, which occurs in an intensely competitive environment…
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Erkin Artantas, Hakan Gursoy
2024-01-02T13:27:41Z
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Social media refers to the development and sharing of sentiment, information, and interests, as well as other forms of opinion via virtual communities and networks. Nowadays, social networking and micro blogging websites are considered reliable sources of info…
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K. Victor Rajan
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For clarity, the following are all expressions for the second layer.
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Yi Qin, Jiazhe Feng, Tianshu Wang, Liangyu Li
2024-03-08T12:05:28Z
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We propose neurosymbolic integration as an approach for AI alignment via concept-based model explanation. The aim is to offer AI systems the ability to learn from human revision but also assist humans at evaluating AI capabilities. The proposed method allows u…
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Benedikt J. Wagner, Artur d’Avlia Garcez
2024-08-30T11:16:45Z
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In a world of increasing pollution, particulate matter happens to be a major contributor to climate change. The risk at which it increases concerns the researchers and global leaders. Geospatial artificial intelligence is an interdisciplinary field that integr…
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Prisilla Jayanthi, Utku Kose, Muralikrishna Iyyanki
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This report on Artificial intelligence in pharmacovigilance addresses a rapidly emerging cross-disciplinary field that is at the intersection of pharmacovigilance, computer science, mathematics, regulation, law, medicine, human rights, psychology and social sc…
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Achieving superiority of artificial intelligence (AI) is the new criterion of competing powers, as its versatile use in combat could alter the outcomes of war. In the environment of ever-increasing AI-powered weapon systems and emergence of grey zone confronta…
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The rapid implementation of Artificial Intelligence in medical education presents certain challenges including a unique combination of technology and ethical risk. In this article, we describe a number of technical risks that concern not only data selection, b…
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Quantitative phase imaging (QPI) is a powerful label-free imaging technique that enables high-resolution, three-dimensional imaging of unlabeled samples by exploiting refractive index (RI) distributions as intrinsic imaging contrast. In this talk, we present t…
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Abstract In recent years, the demand for electronic products has been increasing rapidly. T mounting technology (SMT) line is one of the production areas for electronic products, directly affecting this situation. In an SMT line, multiple machines mount electr…
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The artificial intelligence (AI)-based problem learning system quickly and accurately performs problem setting and scoring using algorithm. In this process, the learner’s level of prior learning is identified, the subject and quantity to be learned are determi…
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Background: Measurements of mobility in musculoskeletal medicine are typically acquired using manual instruments that often have significant measurement variability and may lead to discrepancies in data. This study aims to evaluate the accuracy of vision artif…
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In order to solve the problem of short life and high elimination rate of parts in mechanical equipment, intelligent mechanical design and optimization method based on artificial intelligence is proposed. Firstly, from the perspective of structural design, this…
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Artificial Intelligence (AI) and robotics are converging to create transformative solutions across various domains. This article explores the synergies between AI and robotics, focusing on how their integration enhances capabilities and drives innovation. We e…
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[Purpose] The purpose of this study is to examine the concept of artificial intelligence (AI) as an object of civil legal relations, with a specific focus on its status as an inventor. The study aims to define the characteristics of AI as an inventor, includin…
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Cardiovascular disorders, including atrial fibrillation and bundle branch blockages, have a significant impact on global health and are associated with higher mortality rates. The accurate categorization of these disorders through ECG data is essential in orde…
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Medical image segmentation is an important task in medical artificial intelligence. Traditional segmentation methods often suffer from the information loss problem, especially in medical image data which contain many different-scale organs or tissues. To addre…
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Artificial Intelligence (AI) in healthcare has ushered in a revolutionary era by transforming the way we provide care and reduce adverse consequences.This paper explores the field of AI applications in healthcare, including side effect management, streamlined …
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The deep learning model LSTM (Long Short - Term Memory) can be used to deal with the problem of sequences, and is currently the most commonly used model to deal with music training. The process of LSTM training is sequence-to-sequence, which allows the back-an…
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Artificial intelligence (AI) has the potential to completely transform medical education by improving learning outcomes through data-driven insights, simulation, and individualized instruction. Objectives: To determine the impact of Artificial Intelligence on …
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Article title: An effectual underwater image enhancement framework using adaptive trans-resunet ++ with attention mechanismAuthors: Ajanya P and S. MeeraJournal: Journal of Experimental & Theoretic...
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In order to solve the problem of high logistics distribution cost in the new logistics management and operation mode under the concept of sharing economy, the application and effect analysis of artificial intelligence technology in logistics information teachi…
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2025-04-01T16:46:45Z
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In order to solve the problems of “cognitive overload” and “learning lost” brought by massive learning resources, a personalized learning support system of artificial intelligence in dance teaching is proposed. Subject knowledge mapping is integrated into the …
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2024-09-19T17:00:37Z
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Due to the explosive rise of quantum computing, there has been intense competition in business and academics in the field of quantum optics in recent decades. The current invention's overall scalability in quantum computing has surpassed many orders of magnitu…
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2024-02-06T03:56:59Z
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Crimson Publishers is an Open-access academic publisher has a vision to establish Open Science platform that seeks to provide equal opportunity for all, share and create knowledge, and enables the scholarly world to engage in a dialogue with the science in a m…
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Credit risk forecasting remains one of the key critical issues in financial risk management with the potential to impact lending rates, portfolio construction, capital allocation, and regulatory requirements. Conventional statistical techniques like logistic r…
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2025-12-13T05:39:53Z
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This document is a cross-sectoral profile of and companion resource for the AI Risk Management Framework (AI RMF 1.0) for Generative AI, 1 pursuant to President Biden’s Executive Order (EO) 14110 on Safe, Secure, and Trustworthy Artificial Intelligence.2 The A…
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2026-08-11T09:42:16Z
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Rapid urbanization has significantly contributed to air pollution around the globe. Regular incorporation of various air pollutants into the environment has imposed serious health issues. Therefore, it is essential to develop advanced approaches for precise mo…
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The purpose of this paper is to explore the applications of infobody concepts, infobody structures and infobody charts to Artificial Intelligence (AI), specifically, Logical Artificial Intelligence (LAI). It is also trying to explore a new way to resolve some …
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Abstract Implementing artificial intelligence (AI) in healthcare organizations involves the entire organization. This groundbreaking technology is becoming central to achieve the goals of the new healthcare through the ongoing commitment to sustainability desp…
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Medical anomaly identification using machine learning is a significant subject that has received a lot of attention. Artificial neural networks’ successor, deep learning, is a well-developed technology with strong computational capabilities. Its popularity has…
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