Image System Research Articles

Laminar burning velocity of lithium-ion battery thermal runaway vent gas in air

In this study, a spherically propagating flame of vent gas generated during the thermal runaway of lithium-ion batteries with different states of charge (SOC) was experimentally and numerically investigated. The vent gas is mainly composed of H2, CO, CO2, and some hydrocarbons. With increasing SOC, the CO2 fraction tends to decrease while the H2 and CO fractions tend to increase. Combustion experiments were conducted using a closed vessel, and the combustion progression was captured using a high-speed Schlieren image system to measure the unstretched laminar burning velocity, Su0. In addition, the combustion was computationally estimated under the experimental conditions by performing 1D planar flame simulations using Chemkin-Pro with the Aramco Mech 1.3 reaction model. Remarkably, the calculated values of Su0 closely matched the experimental ones, demonstrating good agreement. The results showed that Su0 tended to increase with increasing SOC. Furthermore, the effects of the chemical reaction mechanism, which plays a pivotal role in driving this increase in Su0 with increasing SOC, were investigated. Specifically, the heightened SOC levels promoted the H2 branching reaction led to an increased concentration of OH radicals in the mixture. This consequently accelerated the rate-determining reaction for the oxidation of hydrocarbons, leading to an increase in Su0. As an effect of the hydrocarbons in the vent gas mixtures, the number of moles of CO increased slightly near the flame because the rate of CO production in the flame zone was more dominant than that of consumption under the condition of SOC 50.

Темпоральные образы в путешествиях «массового сентиментализма»: от личного к идиллическому

The article analyzes the system of temporal images in the travel texts of “mass sentimentalism” (using the works by V. V. Izmailov, P. I. Shalikov and P. I. Sumarokov as an example) in the context of the paradigm “social – cultural – artistic time”. The aim of the research is to substantiate the thesis about the image of time as a characteristic of the way the subject perceives a certain event / chain of events in quasi-historical retrospect, in connection with which three levels of perceptual time (time of the subject / personal time; historical time, idyllic time) were identified and defined. The scientific novelty lies in determining the ways of expressing these components in the travelogues of “mass sentimentalism”, which have not been studied in this aspect before, adding to the ideas about the specifics of the literary process in Russia at the turn of the 18th and 19th centuries, including the explication of temporal representations in travel prose. It is concluded that the image of the epoch in the travels of “mass sentimentalism” is reconstructed on the basis of spatial impressions. The core of the temporal-image structure is personal time (in the dynamics of private impressions, including accurately recorded ones), while the system of images of various historical epochs (from Kievan Rus’ to the 18th century) and variant idyllic constructions form the periphery.

БАШКИРСКАЯ ФОЛЬКЛОРИСТИКА В СИСТЕМЕ СОВРЕМЕННОЙ ГУМАНИТАРНОЙ НАУКИ (ОПЫТ СОБИРАНИЯ, ИЗДАНИЯ, ИССЛЕДОВАНИЯ)

The article attempts to provide a brief overview of the activities of the Institute’s folklorists after joining the system of the Russian Academy of Science. It is characterized by regularity, consistency in all areas of folklore studies, activation of expedition, research, and publication activities. It was during this period in the history of Bashkir folklore that the experience of scientific and textual work appeared, as a result of which four multi-volume scientific collections “Bashkir Folk Art”, more than a dozen collections of samples of Bashkir folk art were prepared and published; several dozen monographic studies were written and published, in which genre features, ideological basis, and image system were considered, as well as artistic and visual means; The actual problems of Bashkir folklore studies were covered in the serial edition of the collection of scientific articles “Bashkir Folklore». The mid-1970s -early 2000s in the history of Bashkir folklore studies are significant for the increased attention to the publication of samples of Bashkir folklore in Russian, later in English. In the research of the XXI century, emphasis was placed on the poetics of such genres as fairy tales, epics, songs and others; interdisciplinary connections. In the genre of the Bashkir fairy tale according to the experimental method of the famous Russian folklorist, the corresponding member of RAS V.M. Gatsak conducted a study on the problem of the persistence of a fairy tale in time and the transferability of a fairy tale from a “teacher” to a “student” G.R. Khusainova. The XXI century in world folklore is also significant for the increased attention to the reliability of sources. In the history of Bashkir folklore, it is reflected in the monograph by Sh.R. Shakurova, devoted to the textual analysis of the archival primary source of the epic “Ural-Batyr” and its academic alternative (publishing) versions in the first part of the study, and in the second– the phototypic reproduction of the archival primary source of the epic “Ural-Batyr”; the publication of the authentic text of the epic “Ural-Batyr” with parallel submission in Cyrillic, prepared by G.V. Yuldybayeva. Significant events in Bashkir folklore were the preparation and publication of the encyclopedia “Folklore of the Peoples of Bashkortostan”, the translation of the masterpieces of world epic of the Kyrgyz epic “Manas” (2016) and the Yakut epic-olonkho “Nyurgun-Bootur the Swift” (2023) into the Bashkir language. One of the important achievements of Bashkir folklorists is also the implementation of projects under grants from the RGNF.

«Бытие... есть на деле ничто»: жанрово-смысловые акценты большого стихотворения И. Бродского «Бабочка»

The paper analyzes Joseph Brodsky’s poem “Butterfly” (1972), which has not been previously investigated in detail by philologists, and considers a number of its images and motifs that cause discrepancies in critics’ interpretations. The research is undertaken in order to comprehend the role and functions of the butterfly image in shaping the poetic world of Brodsky’s poem and to outline its multi-vector interpretation. The paper examines and rethinks the usual connotations of the butterfly motif image (life/death, soul, spirit, lightness of being, carelessness of existence, etc.) and identifies new components of a fairly traditional poetic image. The research is novel in that it is the first to provide a deep and detailed analysis of the system of motifs and images in the poem “Butterfly”, to offer explanations for some obscurities in the poem that have caused significant difficulties and variations of meaning among critics, to reveal the nature of the embodiment of various thematic layers in the poem. As a result, it is proved that the impulse of the persona’s philosophical mood and the poetic world of Brodsky’s “Butterfly” as a whole is accounted for by an alternative interpretation and understanding of the butterfly image, endowing it with unique, Brodsky-specific connotations that form a dominant parallel between the poet and the butterfly.

Prediction of ash content in coal slime flotation based on CNN-BP method with residual estimation

ABSTRACT Ash content is a key metric for assessing coal slime flotation performance. Traditional methods of sampling, combustion, and weighing lead to measurement delays, thus image-based real-time ash prediction during flotation has become meaningful. However, the complex characteristics of the multiphase system in flotation pulp images make the extraction of an effective dataset for ash recognition challenging. This paper introduces an image-based method for predicting ash content in solid-liquid pulp mixtures using Convolutional Neural Networks (CNNs). A CNN transfer learning method based on ImageNet is proposed, combined with a Backpropagation (BP) residual estimation module with specified feature filters, reducing the sample size requirement. Four classic CNN networks were utilized. Results indicate that introducing the BP residual estimation module improves the CNN network’s prediction accuracy in small samples, with total residuals consistent with the white noise distribution. Notably, the 5% accuracy (absolute error less than 5%) of VGG19 without the CNN classic residual structure improved significantly, reflecting the superior residual estimation of BP and the robust performance of the CNN-BP in predicting pulp ash content. This research offers a new option for transitioning previous dataset collection methods for ash detection in the coal slime flotation process.

Effects of main components on energy output characteristics of thermobaric explosive — A case study of typical formulations

As a kind of high-efficiency explosive with compound destructive capability, the energy output law of thermobaric explosives has been receiving great attention. In order to investigate the effects of main components on the explosive characteristics of thermobaric explosives, various high explosives and oxidants were selected to formulate five different types of thermobaric explosive. Then they were tested in both open space and closed space respectively. Pressure measurement system, high-speed camera, infrared thermal imager and multispectral temperature measurement system were used for pressure, temperature and fireball recording. The effects of different components on the explosive characteristics of thermobaric explosive were analyzed. The results showed that in open space, the overpressure is dominated by the high explosives content in the formulation. The addition of the oxidants will decrease the explosion overpressure but will increase the duration and overall brightness of the fireball. While in closed space, the quasi-static pressure formed after the explosion is positively correlated with the temperature and gas production. In addition, it was found that the differences in shell constraints can also alter the afterburning reaction of thermobaric explosives, thus affecting their energy output characteristics. PVC shell constraint obviously increases the overpressure and makes the fireball burn more violently.

Representation of the lyrical "I" in the poetry by A. Podgornova

The multidimensional study of women's poetry is one of the promising strategies of modern Russian literary criticism, which allows us to reveal not only the tools of women's writing, but also the female mentality, feminine identity, and the peculiarities of reflection by a female author of the natural and social world. Among the female authors, a special place is occupied by the Erzya poet Alina Podgornova, whose works trace postmodern trends. The subject of the research in the article is the means of representing the lyrical "I" in the poet's poems. The purpose of the work is to analyze a number of the author's works, to determine the system of images through which the lyrical "I" is represented, to trace their conditioning by the postmodern worldview of the poetess. The material was composed of poems from the collections "Except rhymes", "Stranded" ("Thought"). The methodological basis of the work is determined by the structural and semantic analysis of the lyrical text, through which the structural components of the poetic image, its semantic organization, and symbolic semantics are described. The scientific novelty of the study is determined by the fact that, in the stated aspect, A. Podgornova's lyrics are for the first time considered and introduced into the context of Russian literary criticism. The article argues that the emotional and psychological state of the lyrical heroine A. Podgornova is due to the author's worldview and axiological concept, his perception of the world as chaos, moral apocalypse. The poetess's worldview is filled with negative social manifestations that destroy the spiritual and moral essence of a person, leveling universal values. The conclusions and provisions presented in the article expand the understanding of the state and development of modern Mordovian literature.

"Little Man" in the context of the narrative structure of the work: "Overcoat" by N. V. Gogol and "Irrepressible Tambourine" by A.M. Remizov

The subject of the study is the evolution of the "little man" as a literary phenomenon based on the novels "Overcoat" by Gogol and "Irrepressible Tambourine" by Remizov. It is noted that the content of the term under study is not limited to the semantics of the image, which contains a meaningful characteristic of a certain type of literary hero, but depends on the narrative structure of the work. This position of the "little man" in Gogol and Remizov is at the intersection of interrelated factors: details as a carrier of the grotesque in fictional reality and at the level of narrative instance, as well as modifications of a specific genre form, expressed in the original construction of the composition — Gogol overcoming the genre of physiological essay and Remizov household anecdote, respectively. The study shows that detail plays a key role in the poetics of the works of these authors and determines not only the dynamics of the image in a particular work, but also forms an appropriate aspect of influence. Remizov inherits the indirect characterization of a literary character through the details of the external world, adopted by Gogol, but in another way secures with their help the status of the main character of the "Irrepressible Tambourine" as a small person at the narrative level due to a more open organization of the horizon of readers' expectations. The task required the synthesis of a historical and genetic approach with a genrological (genological) one, which made it possible to consider the category of "little man" as an element of poetics, reinterpreted by Remizov in "Irrepressible Tambourine" under the influence of Gogol's work, and its significance in connection with the transformation of the genre model with an individual author's approach to narration. The study showed that Remizov overcomes the epistemological uncertainty of the narrator in the "Overcoat" and, thanks to the details referring to the mythopoeic context (Ancient Russia, Eros), builds the image of a small man (Stratilatov), whose insignificance and mediocrity are less related to the plot of the "Irrepressible Tambourine" than with archetypal references that are carriers of narrative semantics stories and setting the meaningful direction of the author's thought. Thus, the unknowability of the foundations of being by the character is emphasized at the narrative level of the work, enhanced by the grotesque characterization. The corresponding conclusion, according to the author of the article, is relevant in analyzing the system of images of literary heroes in Remizov and his anticipation of the work of European expressionist prose writers with their emphasis on the existential, rather than social source of human suffering.

Cost-benefit Analysis of Adopting Blockchain Technology in the Radiology Unit of a District Hospital

Background Blockchain technology has better security and immutable features, which are beneficial for healthcare data management. Decentralisation data management allows better sharing of medical images between units and departments. Objectives The objectives of this study were to determine the cost of adopting the blockchain-based system for medical images and the cost-benefit analysis for five years of adoption of this technology at a district hospital in Malaysia. Methodology Data regarding the yearly costs and workload for 2016 until 2018 were collected from a district hospital in Malaysia. The cost of blockchain implementation was obtained from a company that developed this technology. The cost-benefit analysis was done using the capital budgeting method for five years of this technology adoption. Sensitivity analysis was done to assess uncertainty conditions during this adoption. Results The total yearly cost of Radiology Unit for 2018 was MYR490,168.96. The cost for adopting blockchain technology was MYR80,000 for the software, MYR115,000 for upgrading the assets and yearly maintenance cost was MYR16,000. The total present value of net benefits for five years of technology adoption was MYR865,295.01. Sensitivity analysis shows that consumables cost-saving is the most sensitive variable. Most pessimistic situation analyses showed positive net benefits. Conclusion The adoption of blockchain technology in managing medical images offers numerous benefits to public hospitals in Malaysia. Investment in this technology can provide a good return to the organisation.

Securing Color Images with an Innovative Hybrid Method Combining DNA Computing and Chaotic Systems

Modern cryptography is a key element of data security, ensuring the confidentiality and integrity of information. In an increasingly digital world, cryptography remains crucial for the protection of sensitive data. In this context, we propose a novel hybrid security system for encrypted color images using a DNA model, chaotic systems, and SHA256-MD5 hash functions as a basis. The proposed hybrid system includes DNA permutation and diffusion. In DNA permutation, we unpredictably rearrange the location of DNA image elements by using the logistic map of low computational complexity. In DNA diffusion, we diffuse the permuted image of DNA with the DNA image key generated by a 5D hyper-chaotic system, using a variety of algebraic operators such as the circular offset in both directions. Considering the experimental outcomes and security evaluation, we can infer that the proposed hybrid security system demonstrates a high level of security, resistance to existing attacks, and practical application suitability while maintaining speed.

Analysis of the verbal image of Russia and Russians in the process of teaching RFL

Importance. The development of a positive attitude towards Russia and its inhabitants is a priority task for a teacher of Russian as a foreign language. It seems necessary to carry out purposeful work in creating a system of verbal images of Russia and Russians in the representation of foreign students. The purpose of the study is to explore the theoretical prerequisites for studying the verbal image and describing the components of the verbal image of Russia and Russians among foreign students.Materials and Methods. The results analysis of a survey conducted among international undergraduate students at the Institute of Russian as a Foreign Language of the Herzen Russian State Pedagogical University revealed the components of the verbal image of Russia. The data obtained are taken into account when teaching Russian as a foreign language to form a positive image of the country.Results and Discussion. The results analysis of the first survey of foreign students revealed negative associations in the minds of foreigners, which must be corrected, as they reduce motivation to master the Russian language. The results of the second survey of foreign students after training demonstrate the presence of positive verbal images in their minds, proving the effectiveness of the training.Conclusion. The results obtained in the course of the study have theoretical and practical significance, as they enable a teacher of Russian as a foreign language to predict possible negative verbal images of Russia among foreign students, take them into account when teaching Russian to foreigners and, thereby, make the process more effective.

Fast and Lightweight Image Cryptosystem for IoMT Applications

This paper presents a fast and lightweight image encryption technique founded on a new concept of progressive and selective diffusion. We make use of modified chaotic systems like the sine-logistic system, sine-tangent system, and tent-logistic system to generate key blocks for diffusion. The encryption procedure comprises three stages: column diffusion, permutation, and row diffusion, which collectively contribute to the overall encryption mechanism. In the first stage, progressive and selective column substitution of the input image is conducted employing key-blocks D1 and D2, in a manner that each substituted column data is a function of previously diffused data. In the second stage, the column-substituted image goes through an adaptive permutation operation realized using an improved sin-logistic system. The last stage incorporates two distinct mappings based on key arrays and key blocks to ensure selective and progressive inter-row substitution/diffusion. The experimental results suggest that the proposed image system exhibits rapid performance as it reports an average encryption time of 0.03 seconds for an image of the size 256×256. Besides, the use of 1-D chaotic maps together with simple yet effective confusion and diffusion processes make it lightweight. Furthermore, it provides better security performance shown by various parameters like Information Entropy Analysis (IE), Correlation Coefficient analysis (CC), Histogram analysis, Differential Attacks Analysis (NPCR and UACI), key sensitivity assessment, and fidelity analysis. The suggested system has the capability to meet the cryptographic objectives as it reports average values of IE = 7.9974, CC =0.0035, NPCR =99.61%, UACI = 33.48%, and an enormously large key space compared to the state-of-art. The proposed technique offers enhanced data security, preserving patient privacy and preventing unauthorized access, while ensuring efficient encryption performance to assure the security and immediate transmission and storage of medical images. The better security performance together with computational efficiency and lightweight nature makes it an ideal candidate to be used in IoMT systems.

Deep CNN-based microaneurysm segmentation system in retinal images using multi-level features

Microaneurysms, tiny, circular red dots that occur in retinal fundus images, are one of the earliest symptoms of diabetic retinopathy. Because microaneurysms are small and delicate, detecting them can be difficult. Their small size and cunning character make automatic detection of them difficult. In this study, a novel encoder-decoder network is proposed to segment the MAs automatically and accurately. The encoder part mainly consists of three parts: a low-level feature extraction module composed of a dense connectivity block (Dense Block), a High-resolution Block (HR Block), and an Atrous Spatial Pyramid Pooling (ASPP) module, of which the latter two modules are used to extract high-level information. Therefore, the network is named a Multi-Level Features based Deep Convolutional Neural Network (MF-DCNN). The proposed decoder takes advantage of the multi-scale features from the encoder to predict MA regions. Compared with the existing methods on three datasets, it is proved that the proposed method is better than the current excellent methods in the segmentation results of the normal and abnormal fundus. In the case of fewer network parameters, MF-DCNN achieves better prediction performance on intersection over union (IoU), dice similarity coefficient (DSC), and other evaluation metrics. MF-DCNN is lightweight and able to use multi-scale features to predict MA regions. It can be used to automatically segment the MA and assist in computer-aided diagnosis.

Сердечные мотивы в творчестве Иосифа Бродского

The paper analyzes a number of poems by Joseph Brodsky that have not been previously investigated in detail by philologists and examines certain motifs and images that cause discrepancies in critics’ interpretations. The study aims to understand the poet’s creative work through a new perspective, to some extent, in a more “materialistic” and “physiological” way, which affects the emotional charge of the Nobel laureate’s main motifs. The study also aims to identify the role played by “heart” motifs in shaping Brodsky’s figurative and metaphorical world of poetry. The paper reinterprets the traditional connotations of heart imagery (life, death, pain, etc.) and shows how Brodsky’s worldview was shaped by the heart attacks, illnesses, and surgeries he endured. The scientific novelty of the study lies in its deep and detailed analysis of the system of motifs and images in Brodsky’s poetry, offering explanations for some obscurities in his poems that have caused significant difficulties and variations of meaning among critics. As a result, it has been proved that the philosophical inspiration of the persona and Brodsky’s overall poetic world is due to an alternative interpretation and understanding of heart imagery, endowing it with unique, Brodsky-specific connotations that form a dominant parallel between the poet and the heart.

Correlation Between Anterior Chamber Angle Status and Limbal Stem Cell Deficiency in Primary Angle-Closure Glaucoma

PurposeTo investigate the correlation between the opening and closing states of anterior chamber angle (ACA) and the density of limbal epithelial basal cells (LEBCs) in subjects with primary angle-closure glaucoma (PACG). DesignCross-sectional observational study. MethodsA total of 54 eyes of 29 patients diagnosed with PACG were included in the study. 54 eyes from normal subjects were included as control. Automatic evaluation system for ultrasound biomicroscopy images of anterior chamber angle was used to assist ophthalmologists in identifying the opening or closing state of ACA, and the in vivo confocal microscopy (IVCM) was used to evaluate the density of LEBCs in different directions. Results1. The average density of LEBCs in the superior, inferior, nasal and temporal limbus of the eyes in the PACG group was lower than that in the control group, and this pattern did not align with the density distribution observed in the control group.2. In the early, moderate and advanced PACG, the density of LEBCs corresponding to the closed angle was lower than that in the control group (P<0.05). Compared with the density of LEBCs corresponding to the closed angle and the open angle, the closed angle of PACG in the early, moderate and advanced stages was less than that in the open angle (P<0.05 in the early and moderate stages; advanced stage P>0.05).3. The basal cell density was processed by dimensionless analysis. In the data calculated by averaging and minimizing, both closed angle dimensionless values were smaller than the open angle (P<0.05).4. Comparative analysis was conducted among the normal, open-angle, and closed-angle conditions in the superior, inferior, nasal, and temporal limbus. In the early stage of PACG, significant differences were observed in 4 limbal regions (P<0.05), while in the moderate PACG stage, this difference was noted in 3 limbal regions (P<0.05). In advanced PACG, 2 limbal regions exhibited significant differences (P<0.05). These findings suggest that during the early PACG stage, angle closure is the predominant influencing factor on LEBCs density, while in the advanced stage, the decrease in density is attributed to a combination of angle closure and the natural progression of the disease. ConclusionThere is a significant correlation between anterior chamber angle status and LEBCs. Advanced PACG and angle closure should be highly suspected of the occurrence of limbal stem cell deficiency (LSCD).

Imaging predictors of 4q12 amplified and RB1 mutated glioblastoma IDH-wildtype.

Recent studies have identified that glioblastoma IDH-wildtype consists of different molecular subgroups with distinct prognoses. In order to accurately describe and classify gliomas, the Visually AcceSAble Rembrandt Images (VASARI) system was developed. The goal of this study was to evaluate the VASARI characteristics in molecular subgroups of IDH-wildtype glioblastoma. A retrospective analysis of glioblastoma IDH- wildtype with comprehensive next-generation sequencing and pre-operative and post-operative MRI was performed. VASARI characteristics and 205 genes were evaluated. Multiple comparison adjustment by the Bejamin-Hochberg false discovery rate (BH-FDR) was performed. A 1:3 propensity score match (PSM) with a Caliper of 0.2 was done. 178 patients with GBM IDH-WT met the inclusion criteria. 4q12 amplified patients (n = 20) were associated with cyst presence (30% vs. 12%, p = 0.042), decreased hemorrhage (35% vs. 62%, p = 0.028), and non-restricting/mixed (35%/60%) rather than restricting diffusion pattern (5%), meanwhile, 4q12 non-amplified patients had mostly restricting (47.4%) rather than a non-restricting/mixed diffusion pattern (28.4%/23.4%). This remained statistically significant after BH-FDR adjustment (p = 0.002). PSM by 4q12 amplification showed that diffusion characteristics continued to be significantly different. Among RB1-mutant patients, 96% had well-defined enhancing margins vs. 70.6% of RB1-WT (p = 0.018), however, this was not significant after BH-FDR or PSM. Patients with glioblastoma IDH-wildtype harboring 4q12 amplification rarely have restricting DWI patterns compared to their wildtype counterparts, in which this DWI pattern is present in ~ 50% of patients. This suggests that some phenotypic imaging characteristics can be identified among molecular subtypes of IDH-wildtype glioblastoma.

Deployment of Advanced and Intelligent Logistics Vehicles with Enhanced Tracking and Security Features

This study focuses on the implementation of modern and intelligent logistics vehicles equipped with advanced tracking and security features. In response to the evolving landscape of logistics management, the proposed system integrates cutting-edge technologies to enhance efficiency and ensure the security of the entire logistics process. The core component of this implementation is the incorporation of state-of-the-art tracking mechanisms, enabling real-time monitoring of vehicle locations and movements. Furthermore, the system addresses the paramount concern of security by introducing advanced security measures. Through the utilization of sophisticated tracking technologies and security protocols, the proposed logistics vehicles aim to safeguard both customer and provider data. The implementation includes the integration of QR code concepts, creating a binary image system that conceals sensitive information and ensures access only to authorized users. In addition to tracking and security, the study delves into the realm of information mining, employing techniques such as classification, clustering, and recommendation to extract meaningful patterns from vast datasets. Collaborative filtering techniques are incorporated to enhance customer experience by recommending services based on user preferences and historical data. This abstract encapsulates the comprehensive approach of deploying modern logistics vehicles, emphasizing their intelligence through advanced tracking, robust security measures, and data-driven insights. The proposed system aims to revolutionize logistics management, providing a seamless and secure experience for both customers and service providers in the dynamic logistics landscape.

Redox and melting characteristics of Mn-based ores for high-temperature thermochemical energy storage

Redox and melting characteristics of Mn-based ores were investigated to test their potential use in thermochemical energy storage (TCES). Two Mn-based materials (FJ and LY) were natural ores with the Mn content higher than 35 wt%, and one Mn-based material was prepared by adding an MgO–kaolin inert support into LY ores to increase its melting temperature. Cyclic reduction and oxidation reactivity of these Mn-based materials was studied via thermogravimetric analysis (TGA), and the melting behaviors of these materials were investigated by using a melting test setup with an optical camera–image system. It was found that the oxygen capacity of the FJ Mn ore can approach ∼1.50 wt%, while the LY Mn ore had only 0.42 wt%–0.69 wt% oxygen capacity The deformation temperature of the FJ Mn ore is higher than that of the LY Mn ore, and the melting temperatures of the LY Mn ore can be significantly improved with the addition of an MgO–kaolin inert support, while the reactivity is decreased due to the addition of the MgO–kaolin inert material. This study proves that manganese ores with high oxygen capacity and deformation temperature have potential as TCES materials. For some manganese ores with low deformation temperatures, it is necessary to improve their melting temperatures and ensure oxygen capacity for high-temperature TCES applications.

Research on the model of automatic recognition and natural language question-answer system for traditional Chinese medicine tongue images based on LLMs

Large Language Models (LLMs) have recently demonstrated their potential in clinical applications by providing valuable medical knowledge and recommendations. Traditional Chinese tongue diagnosis, one of the "Four Diagnoses," is an essential method for traditional Chinese medicine diagnosis. This paper builds upon tongue image classification technology and utilizes natural language processing and image recognition techniques to enhance the discrimination and analysis of traditional Chinese tongue images through learning and inference. We propose a method to integrate LLMs into the tongue image automatic recognition model and use them in interactive question-answering by summarizing and reorganizing information in natural language text format.

Color Detector in an Image using Python and Computer Vision Library

This research explores the implementation of a color detection system in images using the Python programming language and the Computer Vision library. The primary aim is to enhance the accuracy and efficiency of color detection, a critical component in the realm of automated systems and artificial intelligence. Leveraging Python's versatility and the specialized features of the Computer Vision library, the study conducts experiment to evaluate the proposed system's reliability across diverse image contexts and lighting conditions. The literature review encompasses fundamental color detection concepts, recent advancements in Computer Vision, and practical applications from prior relevant research. The anticipated outcome of this research is a substantial contribution to advancing our understanding of color detection within image processing, with potential implications for a more reliable and widely applicable system