Extraction - Science topic

This study investigates the difficulty of improving product recommendations in e-commerce systems by tackling the common problem of poor diversity in suggestions. We present a novel approach that uses a Siamese network architecture and ResNet for feature extraction to recommend visually similar elements while incorporating diversity through a clust...

This paper analyzes the form of content characterized by nodes in the text complex network model, and points out the way of constructing text network with text words as network nodes. The lexical co-occurrence relationship based on lexical semantics is delineated, and combined with the implementation process of the lexical co-occurrence analysis me...

Glycolysis is one of the most promising closed‐loop recycling technologies for PET textiles; however, its efficiency is compromised by the presence of dyes, which inhibit the repolymerization of the depolymerized monomer, bis(hydroxyethylterephthalate) (BHET), into high‐quality recycled PET (rPET). In this study, hydrophobic deep eutectic solvents...

The multi-granularity temporal knowledge graph question-answering model consists of two core tasks: question information extraction and knowledge graph embedding representation. Existing studies typically compute the relevance score between the question and the associated temporal knowledge graph to identify the answer. However, current multi-granu...

The accurate extraction of cultivated land information is crucial for optimizing regional farmland layouts and enhancing food supply. To address the problem of low accuracy in existing cultivated land products and the poor applicability of cultivated land extraction methods in fragmented, small parcel agricultural landscapes and complex terrain map...

This article presents a study of single $\pi^+$ production in neutrino neutral-current interactions (NC1$\pi^+$) using the ND280 detector of the T2K experiment. We report the largest sample of such events selected by any experiment, providing the first new data for this channel in over four decades and the first using a sub-GeV neutrino flux. The s...

This research included study of plant extracts which are extract of Zingiber officanales and extract of Cympobogon citratus by, aquatic, alcoholic, and phenolic, and three concentrations (25, 50, 100) mg/ml in order to test them against bacteria Proteus which causing urinary tract appeared the following: Cympobogon citratus extract exceeded sig...

The purpose of this study is to introduce SKG-LLM. A knowledge graph (KG) is constructed from stroke-related articles using mathematical and large language models (LLMs). SKG-LLM extracts and organizes complex relationships from the biomedical literature, using it to increase the accuracy and depth of KG in stroke research. In the proposed method,...

The practical procedures involved in extraction of otolith in Taxonomy

We extend the Standard Model (SM) analysis of Martinelli et al. (Phys Rev D Ser 111:013005, 2025. https://doi.org/10.1103/PhysRevD.111.013005 ), which was limited to light leptons in the final state, to the semileptonic $$B \rightarrow D^* \tau \nu _\tau $$ B → D ∗ τ ν τ decay. By using quantities that can be analised without the knowledge of $$\ve...

The purpose of this study was to identify the ideal circumstances for antioxidant component extraction and 2acetyl1pyrroline (2AP) from Pandan leaf using Microwave-assisted Extraction (MAE) through the use of Box-Behnken Design Response Surface Methodology (BBD-RSM), with three factors: ethanol concentration (65, 80, and 95%), temperature (55,65, a...

Previous work on clinical relation extraction from free-text sentences leveraged information about semantic types from clinical knowledge bases as a part of entity representations. In this paper, we exploit additional evidence by also making use of domain-specific semantic type dependencies. We encode the relation between a span of tokens matching...

Document Key Information Extraction (KIE) is a technology that transforms valuable information in document images into structured data, and it has become an essential function in industrial settings. However, current evaluation metrics of this technology do not accurately reflect the critical attributes of its industrial applications. In this paper...

Aspect-based sentiment analysis (ABSA) in massive open online courses (MOOCs) offers a powerful tool to understand student experiences and improve the quality of online education. As MOOCs grow in popularity, there is an increasing need to analyze student feedback at a granular level, focusing on specific course aspects rather than just overall sen...

We update the HOMER method, a technique to solve a restricted version of the inverse problem of hadronization -- extracting the Lund string fragmentation function $f(z)$ from data using only observable information. Here, we demonstrate its utility by extracting $f(z)$ from synthetic Pythia simulations using high-level observables constructed on an...

In this paper, a series of bimetallic Ni‐Cu/ZSM‐5 catalysts was prepared, characterized, and investigated in the hydrogenolysis of lignin model compounds. This study is aimed at the understanding of the properties of supported bimetallic nanoparticles prepared via a facile hydrothermal/reduction synthesis for potential applications within biorefini...

To evaluate influence of total antioxidant capacity expression (TAC) on outcome of kerato-lenticule extraction (KLEx). A prospective non-randomized trial was conducted and patients received KLEx were categorized via TAC concentration. A total of 56 and 36 eyes were enrolled into the low TAC and high TAC groups. The main outcomes are the postoperati...

Transformers excel in modeling long-range dependencies for computer vision, but the quadratic complexity of self-attention complicates lightweight model design. The Mamba model, with linear complexity, offers similar capabilities but underperforms compared to Transformers. Inspired by these insights, we propose TranMamba, a lightweight hybrid Trans...

In order to quickly and accurately identify the lane changing intention of vehicles, and to deeply consider the time series characteristics of vehicle driving processes and the interactive effects between vehicles, a lane changing intention recognition model, namely, Model_TA, was constructed by combining the time series feature extraction ability...

This article discusses alexandrite laser hair removal in forehead flap nasal reconstruction. We highlight the importance of timing, with preoperative hair removal offering better outcomes and preventing postoperative regrowth. Postoperative removal, however, is more complex and requires extended treatment. Follicular unit extraction (FUE) is sugges...

In this paper, we proposed a new supercritical CO2 defatting—pH multistage regulation extraction method (SD-PMRE) of high water soluble walnut protein isolate (HWPI), by investigating the effects of PMRE, three defatting methods, and walnut seed coat on the functional properties of HWPI. The results showed that HWPI had high yield of 48.56% and hig...

Intelligent diagnostic technology is helpful in the detection of welding quality issues which have a significant impact on product reliability, and attracts increasing concern. Welding diagnostic technology typically extracts feature values from raw signals and makes quality judgments based on these feature values. The conventional feature values e...

The mesoscale heavy rainfall, “Senjo-Kousuitai” (SK), often causes severe disasters. This study utilizes a regional reanalysis dataset for Japan (RRJ-Conv; hourly data from 1976 to 2020 with horizontal resolution of 5 km) to extract and analyze SK events across Japan and its surrounding area. By applying an objective extraction method, we identifie...

During an ERCP procedure for bile duct stones, the patient experienced basket impaction during the operation. We successfully removed the impacted reticular basket without complications, utilizing a temporary salvage device modified with a lithotripter, thereby avoiding other future procedures such as ESWL or surgery.

Concept maps have been widely used in education to organize and represent information hierarchically. However, traditional methods for constructing concept maps often depend on human experts, which can be costly and time-consuming. The emergence of large language models (LLMs), such as GPT-4, has transformed concept construction and reasoning tasks...

In this paper I propose a novel approach to Volume Weighted Average Price (VWAP) execution that addresses two key practical challenges: the need for asset-specific model training and the capture of complex temporal dependencies. Building upon my recent work in dynamic VWAP execution arXiv:2502.18177, I demonstrate that a single neural network train...

When rolling bearings work under variable speed conditions and experience compound faults, their vibration signal components become more complex, some of which coexist in a narrow frequency band, and are easy to interfere with each other and coupled together. In some cases, the tachometer cannot or is difficult to install, resulting in insufficient...

In this study, we propose EnhanceCenter, a multiple-object tracking model that demonstrates enhanced tracking efficiency and stability while reducing dependencies on computationally intensive detectors. EnhanceCenter, based on the CenterTrack method, introduces three key improvements. First, a channel–spatial–spatial feature fusion module effective...

Large Language Models (LLMs) have shown significant promise across various natural language processing tasks. However, their application in the field of pathology, particularly for extracting meaningful insights from unstructured medical texts such as pathology reports, remains underexplored and not well quantified. In this project, we leverage sta...

Acoustic instruments have become the mainstream technology for downhole parameter measurement due to their non-contact and high-precision characteristics, but due to the high-noise environment in the downhole, the accuracy of echo signal extraction has always been low. In this paper, we propose an echo signal processing method using wavelet transfo...

In this study, we conducted optical goniometric measurements of turbid media and utilized a Monte Carlo model to characterize their optical properties. Our methodology employs an inverse fitting approach that combines Monte Carlo simulations with a Levenberg-Marquardt optimization routine. To enhance the accuracy and robustness of the inverse fitti...

Bacterial cells organize their genomes into a compact hierarchical structure called the nucleoid. Studying the nucleoid in cells faces challenges because of the cellular complexity while in vitro assays have...

Currently, orthodontists are treating more adult patients with missing or hopeless first molars as these teeth have the highest incidence of decay in permanent dentition. This case report presented the closure of extraction spaces of four first molars in a patient with Class II malocclusion. High torque self-ligating brackets were used combined wit...

Retrieval-augmented generation (RAG) encounters challenges when addressing complex queries, particularly multi-hop questions. While several methods tackle multi-hop queries by iteratively generating internal queries and retrieving external documents, these approaches are computationally expensive. In this paper, we identify a three-stage informatio...

Structure reasoning is a fundamental capability of large language models (LLMs), enabling them to reason about structured commonsense and answer multi-hop questions. However, existing benchmarks for structure reasoning mainly focus on horizontal and coordinate structures (\emph{e.g.} graphs), overlooking the hierarchical relationships within them....

The quality of the cocoa product depends on the post-harvest treatment processes and the extraction method used; therefore, it is important to control the conditions applied to obtain a product of recommended quality. This study aimed to identify the critical stages in the post-harvest treatment and extraction of butter and to propose solutions for...

In the design of extraction systems for intense ion sources, particularly Electron Cyclotron Resonance ion sources, the overall configuration of electrodes is the main consideration. However, a detailed aspect has not received sufficient attention, that is, the influence of the front edge of the plasma electrode. Near this edge, the direction of th...

Intra-rectal foreign bodies (IRFBs) are a rare but increasingly recognized condition, often associated with voluntary insertion. We report the case of a 30-year-old man who presented with an incarcerated rectal foreign body-a mortadella sausage-inserted three days before admission. Imaging did not visualize the object, necessitating transanal extra...

Recent advances in vision-language models (VLMs) have shown remarkable potential in bridging visual and textual modalities. In computational pathology, domain-specific VLMs, which are pre-trained on extensive histopathology image-text datasets, have succeeded in various downstream tasks. However, existing research has primarily focused on the pre-t...

There is an urgent need for flexible interconnection in the distribution network. However, due to the complex topology, control strategy and development cost of the existing flexible interconnected device (FID), the existing FID is difficult to be popularized and applied in the above scenarios. In view of the above problems, this paper constructs t...

A landslide is one of the most common geological disasters, which is associated with great destructive power and harm. In recent years, semantic segmentation models have been applied to landslide recognition research and have made some achievements. However, the current method still has issues, overlooking small targets like fine cracks, missegment...

Transformers have performed favorably in recent hyperspectral unmixing studies in which the self-attention mechanism possesses the ability to retain spectral information and spatial details. However, the lack of reliable prior information for correction guidance has resulted in an inadequate accuracy and robustness of the network. To benefit from t...

Sparse autoencoders (SAEs) have emerged as a promising approach in language model interpretability, offering unsupervised extraction of sparse features. For interpretability methods to succeed, they must identify abstract features across domains, and these features can often manifest differently in each context. We examine this through "answerabili...

Precise object counting is crucial in practical applications, finding extensive utility across numerous societal domains. In the context of few-shot object counting, variations in object angles can significantly alter the distribution and distinguishability of object feature points, thereby increasing the difficulty of feature extraction. To addres...

Large language models (LLMs) showcase increasingly impressive English benchmark scores, however their performance profiles remain inconsistent across multilingual settings. To address this gap, we introduce PolyPrompt, a novel, parameter-efficient framework for enhancing the multilingual capabilities of LLMs. Our method learns a set of trigger toke...

Understanding the thermodynamic properties of quantum systems is essential for developing energy-efficient quantum technologies. In this regard, this work explores the application of quantum computational methods to study the quantum properties and work extraction processes in a dinuclear quantum battery model. Our results demonstrate that variatio...

Photodetectors are indispensable in a multitude of applications, with the detection of surface defects serving as a cornerstone for their production and advancement. To meet the demands of real-time and accurate defect detection, this paper introduces an optimization algorithm based on the GLV-YOLO model tailored for photodetector defect detection...

In the current field of medical image segmentation research, numerous Transformer-based segmentation models have emerged. However, these models often suffer from limitations in multi-scale feature extraction and struggle to capture local detail features and contextual information, thereby constraining their segmentation performance. This paper intr...

This work explores three different fabrication methods to improve light extraction efficiency of site-controlled pyramidal GaAs quantum dot (QD) system. In the theoretically analyzed structures (mimicking the as-obtained experimentally), we focus on the effects of geometry on light emission intensity, far-field profiles, and Purcell enhancement. Th...

Understanding the fundamental constraint on work far beyond the adiabatic regime is crucial to investigating fast and efficient energy extraction or consumption processes. In this study, we derive thermodynamic speed limits for non-adiabatic work and quantify the fundamental costs of non-adiabatic work extraction or consumption processes in open qu...

In the original publication [...]

Document-level entity relation extraction aims to identify all potential relations between entity pairs from unstructured text. To address challenges such as multi-mention entities, long-distance entity relations, and complex relation reasoning, this paper proposes a three-stage document relation extraction model (TSDRE) based on text coreference r...

Pansharpening is essential for remote sensing applications requiring high spatial and spectral resolution. In this paper, we propose a novel Singular Spectrum Analysis-Enhanced Generative Adversarial Network (SSA-GAN) for multispectral pansharpening. We designed SSA modules within the generator, enabling more effective extraction and utilization of...

Insulators are an important guarantee for maintaining the stable operation of the power system. The faults caused by insulator defects will endanger the operation safety of the power system and may even lead to the breakdown of the system. Currently, there are various methods for detecting insulator damage. However, it is difficult for all the exis...

I am excited to share that our work on the “Lilypad” interfacial solar evaporation technology to enhance mineral extraction is featured on the cover of Nature Water!

In 2022, a woolly mammoth baby was discovered in Yukon Territory, on Tr’ondëk Hwëch’in land, by a young placer miner. Named Nun cho ga, which means “big animal baby” in the Hän language spoken by the Tr’ondëk Hwëch’in, the baby is one of the best-preserved woolly mammoths ever discovered. She is around the same size as the Lyuba, who was discovered...

Permasalahan limbah serbuk kayu yang melimpah di Desa Tadukan Raga, Kabupaten Deli Serdang, membuka peluang untuk pengembangan energi terbarukan melalui produksi Wood PELLET (Productive Energy From Low-Cost Lumber Extraction Techniques). Limbah serbuk kayu yang selama ini tidak memiliki nilai jual optimal diolah menjadi bahan bakar alternatif berka...

Severe drill-string vibration is a significant source of drilling problems. Most existing methods for vibration recognition rely on downhole data, facing great limitations in practice. In addition, complex and changeable formations result in limited ability of single-scale features to characterize the vibration. To resolve these issues, an end-to-e...

To address the challenges of high false detection, missed detection, and inefficiency in small target defect detection in complex backgrounds, this paper proposes an improved surface defect detection method based on the YOLO11 algorithm. The method introduces the Efficient Multi-scale Attention and CMUNeXt Block module into the YOLO11 backbone to e...

Typically, Few-shot Continual Relation Extraction (FCRE) models must balance retaining prior knowledge while adapting to new tasks with extremely limited data. However, real-world scenarios may also involve unseen or undetermined relations that existing methods still struggle to handle. To address these challenges, we propose a novel approach that...

Target speaker extraction focuses on isolating a specific speaker's voice from an audio mixture containing multiple speakers. To provide information about the target speaker's identity, prior works have utilized clean audio examples as conditioning inputs. However, such clean audio examples are not always readily available (e.g. It is impractical t...

The Special Issue “Advances in Sources, Extraction, Encapsulation, Bioavailability, and Health Benefits of Functional Food Ingredients” reaches its conclusion, having successfully compiled a collection of nine articles [...]

Data Mining plays a crucial role in the field of Medicine. Although medical data is immeasurable and very rich in knowledge, but many a times the useful data may go fritter as we fail to extract the fruitful information from it. Extraction of effective information from wealthy medical data and making valuable decision for predicting the diseases in...

The present study provides an environmentally friendly synthesis of manganese MnO₂ NPs from ginger peel waste and integrates them into a sustainable cellulose framework to produce a hybrid material. The MnO₂ NPs were manufactured utilizing a green extraction approach, which corresponds with the principles of green chemistry by avoiding harmful subs...

Dynamic mode decomposition (DMD) is a powerful data-driven tool for analyzing complex systems that has gained significant attention in various scientific and engineering disciplines. It is suitable for the analysis of flow structures in numerical and experimental data, being widely used to extract temporal information about coherent data structures...

Recently, research on hyperspectral image classification (HSIC) methods has made significant progress. However, current models commonly only focus on the primary features, overlooking the valuable information contained in secondary features that can enhance the model’s learning capabilities. To address this issue, an adaptive feature enhanced gauss...

With its versatile applications, sand is now the second-most-consumed natural resource by human beings. The ever-growing demand for sand has, however, led to extensive sand extraction that resulted in the world’s most significant anthropogenic mining endeavor. Intensive mining activities have caused severe socio-environmental consequences, with man...

This paper overviews neural target sound information extraction (TSIE), which consists of extracting the desired information about a sound source in an observed sound mixture given clues about the target source. TSIE is a general framework, which covers various applications, such as target speech/sound extraction (TSE), personalized voice activity...

Objective: OpenNotes enables patients to access EHR notes, but medical jargon can hinder comprehension. To improve understanding, we evaluated closed- and open-source LLMs for extracting and prioritizing key medical terms using prompting, fine-tuning, and data augmentation. Materials and Methods: We assessed LLMs on 106 expert-annotated EHR notes,...