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In a strong electromagnetic pulse environment, high-intensity, broadband electromagnetic pulse energy is transmitted to the communication interface circuit through the interconnection cable, causing interference or damage to the internal ...

Three main kinds of underwater wireless communication, which employ acoustic waves, radio frequency and optical waves, have attracted intensive research interests in recently years. Among them, the underwater optical wireless communication (UOWC) ...

Despite the growing use of gamification in healthcare to encourage positive health behaviors, its overall effectiveness is still uncertain. This study explores the hypothesis that individual differences in playfulness - a predisposition to engage ...

Clear cell renal cell carcinoma (ccRCC) frequently progresses to advanced stages due to tumor thrombus (TTs) formation. In this study, we aimed to investigate the role of coagulation-related pathway activation in the progression of ccRCC.

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• Identify the correlation between coagulation and the tumor microenvironment in renal cell carcinoma.
• Develop a coagulation-related prognostic model for risk stratification and prognosis prediction in renal cell carcinoma.
• MMP9 is ...

This paper introduces a portable, gamified exercise system with an embedded agent, specifically designed to aid the elderly in lower-body workouts using stationary bikes. The system integrates a custom-made Internet of Things (IoT) sensing unit, a ...

Rationalization is a self-explaining framework for NLP models. Conventional work typically uses the maximum mutual information (MMI) criterion to find the rationale that is most indicative of the target label. However, this criterion can be influenced by ...

Online advertisements are important elements in e-commerce sites, social media platforms, and search engines. With the increasing popularity of mobile browsing, many online ads are displayed with visual information in the form of a cover image in ...

A self-explaining rationalization model is generally constructed by a cooperative game where a generator selects the most human-intelligible pieces from the input text as rationales, followed by a predictor that makes predictions based on the selected ...

When giving radiation therapy to patients with gastrointestinal cancers, radiation oncologists must manually outline the locations of the stomach and intestines in order to adjust the direction of the X-ray beam. This process can increase the dose ...

With the prevalence of some high bandwidth-demanding applications, such as cloud computing, traditional wavelength-division-multiplexing passive optical networks have difficulties in satisfying such growing bandwidth demands due to its ...

Underwater optical wireless communication (UOWC) is an emerging technology for underwater wireless sensor networks (UWSNs). Compared with acoustic waves and radio frequency waves, optical waves can provide higher data rates and lower ...

The use of web services allows for an easy and cost-effective way to implementation natural language processing capabilities such as sentiment analysis in digital interventions such as those used in mental healthcare. To the best of our knowledge, ...

Drug-drug interactions are one of the main concerns in drug discovery. Accurate prediction of drug-drug interactions plays a key role in increasing the efficiency of drug research and safety when multiple drugs are co-prescribed. With various data sources ...

Scene text detection, which is one of the most popular topics in both academia and industry, can achieve remarkable performance with sufficient training data. However, the annotation costs of scene text detection are huge with traditional labeling ...

The treatment of chronic diseases commonly includes the long-term use of medication. However, patients typically do not accurately or continuously take their medications as prescribed. Building on medication reminders, this paper conceptualizes ...

Recommender systems rely on user behavior data like ratings and clicks to build personalization model. However, the collected data is observational rather than experimental, causing various biases in the data which significantly affect the learned model. ...

The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance, which provides effective and safe co-prescriptions of multiple drugs. Since laboratory researches are often complicated, costly and time-consuming, it's ...

Wood color classification is used to classify the set of wooden boards with similar colors. It is helpful to improve the appearance of the wooden furniture which is spliced by multiple wooden boards. Due to the similarity of colors among wooden boards, ...

With the development of new information technologies, the accumulation of data volume has been exploding, and big data retrieval has played an increasingly important role in big data technology. The challenge of data retrieval are the improvement of ...

VLC performs the dual-functions of communication and lighting and will play an important role in next-generation wireless communications. Proper multiple access methods should be identified for VLC in multi-user scenarios. This article proposes a VLC-CDMA ...