Text clustering is a critical step in text data analysis and has been extensively studied by the mining community. Most existing algorithms are based on bag-of-words model, which faces high-dimensional sparsity problems ignores structural sequence information. Deep learning-based models such as convolutional neural networks recurrent regard texts sequences but lack supervised signals explainable results. In this paper, we propose <bold xmlns:mml="http://www.w3.org/1998/Math/MathML"...

It is of great importance for researchers to publish research results in high-quality journals. However, it often challenging choose the most suitable publication venue, given exponential growth journals and conferences. Although recommender systems have achieved success promoting movies, music, products, very few studies explored recommendation venues, especially biomedical research. No system exists that can specifically recommend PubMed, largest collection literature.We aimed propose a...

Incorporation of a reporter peptide in solutions submitted to fast photochemical oxidation proteins (FPOP) allows for the correction adventitious scavengers and enables normalization comparison time-dependent results. Reporters will also be useful differential experiments control inclusion radical-reactive species. This incorporation provides simple quick check radical dosage FPOP results from day-to-day lab-to-lab. Use workflow requires no additional measurements or spectrometers while...

To ensure the normal work of whole system in context Internet Things (IoT), remote attestation for each smart device should be guaranteed. However, considering huge number devices, traditional individual schemes cannot meet requirements terms efficiency. In addition, protecting sensitive identity information related to devices also needs supported. Furthermore, avoiding security risks caused by secret key exposures is very important IoT, where compromise terminal frequently occurs. solve...

Interference alignment (IA) can remarkably improve the spectral efficiency of dense small cell networks (SCNs) underlaying a macrocell, but its feasibility condition and implementation complexity are restricted by number equipments (SUEs). Moreover, SUEs performing IA may have unsatisfactory quality service (QoS) requirements as only eliminates interference while neglecting gain desired signals. In this paper, we propose centralized efficient subchannel allocation scheme based on with...

The application of OpenAI&amp;#039;s advanced artificial intelligence language model, ChatGPT, in education has garnered widespread attention from the academic community. openness and features ChatGPT demonstrate great potential value supporting students&amp;#039; learning, daily life, communication. This study, grounded theoretical frameworks Innovation Diffusion Theory (IDT) Technology Acceptance Model (TAM), conducted a systematic empirical analysis through questionnaire survey 677...

There usually exist a few big customers at ports of near-sea container shipping routes who have preferences on the weekly ship arrival times due to their own production and sale schedules. Therefore, in practice, when designing schedules, carriers must consider such customers’ time preferences, regarded as soft-time windows, improve customer retention, thereby achieving sustainable development during depression industry. In this regard, study explores how balance tradeoff between total...

In this paper, we exploit clustered interference alignment (IA) for efficient subchannel allocation in ultra-dense orthogonal frequency division multiplexing access (OFDMA) based femtocell networks, which notably improves the spectral efficiency as well addresses feasibility issue of IA. Our problem is formulated a combinatorial optimization NP-hard. To avoid obtaining its optimal solution by exhaustive search, propose two-phases with low-complexity. The first phase groups all user...

Summary Vasopressor use during esophagectomy has been reported to increase the risk of postoperative anastomotic leak and associated morbidity. We sought assess association between vasopressor fluid (crystalloid colloid) administration following open esophagectomy. Patients who underwent Ivor Lewis were identified from a prospective institutional database. The primary outcome was (any grade) analyzed using logistic regression models. Postoperative developed in 52 327 consecutive patients...

Nowadays SnO2 is widely used in manufacturing gas sensors for the detection of toxic and harmful gases such as SO2. However, sensor still has drawbacks long recovery/response time low response value. In this experiment, layer-tunable synthesis tetragonal Pr-doped nanoplates are prepared by a feasible hydrothermal method. Observation at SEM reveals that layer number increases interlayer spacing reduces with increase doping ratio Pr (1, 3, 5 mol%). The sensing performance show three structure...

The output power of wind turbine should be maintained at rated value when speed exceeds speed.However, the is a system with large nonlinearity and time delay. Therefore, it difficult for conventional linear controllers to realize effective control. In order solve this problem, combination feedforward control feedback developed. loop, linearization theory adopted overcome nonlinear features, sliding mode algorithm employed improve robustness system. On other hand, in cerebellar model...

With the development of internet vehicles, traditional centralized content caching mode transmits through core network, which causes a large delay and cannot meet demands for delay-sensitive services. To solve these problems, on basis vehicle we propose an edge collaborative scheme. Road side unit (RSU) mobile computing (MEC) are used to collect information, predict cache popular content, thereby provide low-latency delivery However, storage capacity single RSU severely limits performance...

The performance of a maximum likelihood (ML) based modulation classifier is highly sensitive to whether the model matches real situation. In this paper, quadrature amplitude (QAM) signals are concerned and ML which robust frequence offset, phase jitter, fluctuation time delay proposed. A new proposed represent constellation as Gaussian Mixture Model (GMM). Discrimination Analysis (GDA) algorithm used estimate parameters GMM by offline data training. Maximum Likelihood criterion classify...

Radiation source identification plays an important role in non-cooperative communication scene and numerous methods have been proposed this field. Deep learning has gained popularity a variety of computer vision tasks. Recently, it also successfully applied for radiation identification. However, training deep neural networks classification requires large number labeled samples, applications, is unrealistic. This paper proposes method the unlabeled samples unknown source. It uses...

Femtocells have emerged as an effective solution to enhance indoor coverage and improve system performance in cellular networks. However, the inter-cell interference (ICI) caused by unplanned nature of femtocells considerably leads degradation throughput users with guaranteed (GP). Meanwhile, existing resource allocation algorithms bring about high complexity large overhead. By tracking channel variation well arrival departure users, we propose a hybrid centralized/distributed algorithm...

Considering the problem of multi-source heterogeneous cross-media text information in field aviation safety is difficult to share, paper proposed a domain ontology learning method for civil emergency management.The use adaptive NLPIR word segmentation and filtering methods obtain candidate term dataset.LDA topic model was designed, through LDA training Gibbs sampling inference realize related terms concept core extraction.The construction basic semantic relation recognition rules studied...

The KV-Cache technique has become the standard for inference of large language models (LLMs). It caches states self-attention to avoid recomputation. Yet, it is widely criticized that can a bottleneck LLM system, especially when confronted with ultra-large and long-context queries. A natural remedy discard less important tokens, StreamingLLM as an example, but used static eviction strategies cannot flexibly adapt varying contexts. Remedies like H2O leverage accumulative attention scores...