Definition Of Characteristics Research Articles

The methodological approach to identifying the quasi-market in mechanical engineering

Purpose: is to develop the methodological approach to identifying the industry quasi-markets.Methods: based on the analysis of the concept and definition of the essential features of the quasi-market, the main methods of identification of this type of the market structure were systematized, and the author's methodological approach was substantiated, including the estimation of the cross-ownership coefficient in the horizontal, vertical and compilation projection and the coefficient of relative object demand. For the empirical analysis we used data from the Spark Interfax database in accordance with the OKVED classifier.Results: it is shown that quasi-market structures are found not only in the markets with state participation, but also in the industrial markets that do not provide the state order, which is due to cross-ownership rights and the formation of affiliated companies of vertical and horizontal industry integration. Within the framework of empirical analysis, the methodological approach to identify quasi-market has been tested on the example of the markets of machine-building products.Conclusions and Relevance: approaches to the assessment of quasi-market structures are systematized and the methodological toolkit for its evaluation are proposed. The theoretical significance of the obtained results lies in the development of the concept of the sectoral markets in terms of the development of theoretical and methodological basis for the typology and assessment of market structures of modern economy and interdisciplinary approach to the study of transformation of sectoral markets, which will make it possible to analysis, identify and model the development of the sectoral markets and market structures at the macro- and meso-level. The practical significance of the results consists in the development of the methodological approach based on the assessment of cross-ownership factors, the prevailing forms of integration, the size of object demand, which will make it possible to assess the presence of the quasi-market, develop strategies for industrial development and increase the effectiveness of adaptive measures of the government regulation.

Virtual Banker at your Fingertips Using Chatbot System

The Virtual Banker systemThrough AI-Powered chatbots, real-time announcements, and video call support, it will ensure an extremely smooth and interactive banking experience for its users. The improvements in this system include a responsive user interface with integration of AI and APIs to provide dynamically interactive responses and backend secure connectivity to fetch data in real time. This also includes the features dynamic announcement management, live escalation on chat, analytics-driven improvements, and more. Scalable, optimized performance, and robust security, the system is capable of offering a comprehensive digital banking solution. The platform features interactive and AI-augmented learning tools to enhance the learning process. These tools include AI chatbots, word definition features, and content understanding mechanisms, allowing users to engage with complex concepts effectively. The integration of quizzes, Q&A sessions, and other testing formats reinforces learning and allows candidates to gauge their understanding of key topics. This paper examines the implementation and impact of chatbot systems in the banking sector. It highlights their ability to provide 24/7 customer service, streamline routine banking operations, and enhance user experiences. Key benefits include cost efficiency for banks, reduced wait times for customers, and improved operational scalability. However, challenges such as data security concerns, customer resistance to AI, and the need for continuous technological upgrades remain significant barriers to widespread adoption. Index Terms -Virtual banker, chatbot systems, artificial intelligence (AI) in banking, natural language processing (NLP), financial technology (FinTech), customer service automation, banking operations, transaction efficiency, digital banking solutions, machine learning in banking, AI-powered financial assistance, banking security and privacy, user experience in banking, predictive analytics in FinTech, and voice-enabled banking chatbots

How Reproducible Are the Ultrasound Features of Adenomyosis Defined by the Revised MUSA Consensus?

Background/Objectives: The aim of this study is to assess the inter- and intra-observer reproducibility of the identification of direct and indirect ultrasonographic features of adenomyosis as defined by the revised Morphological Uterus Sonographic Assessment (MUSA) consensus (2022). Methods: A cohort of 74 women, aged 18 to 45, were recruited from the recurrent miscarriage and general gynaecology clinic at a university-based fertility centre. All the participants underwent 2D and 3D transvaginal Ultrasound scan (TVS) examination in the late follicular and early luteal phase. Conventional grey scale and power Doppler image volumes were acquired and stored. Subsequently, the stored 3D ultrasound images were independently re-evaluated offline by the two observers for the direct and indirect features of adenomyosis as outlined by the revised MUSA group. The intra- and the inter-observer reproducibility was estimated using Cohen’s Kappa coefficient. Results: The intra- and interobserver reproducibility (K −0.27, 95% CI 0.06–0.48 and K 0.13, 95% CI −0.10–0.37, respectively) for at least one direct feature of adenomyosis was only modest. Amongst the individual direct features, the interobserver variability of identifying myometrial cysts was fair (K 0.21, 95% CI −0.00–0.42), whereas the intra-observer variability was moderate (K 0.44, 95% CI 0.26–0.63). While hyperechogenic islands identification achieved a fair level of intra- (K 0.31, 95% CI 0.09–0.53) and interobserver (K 0.24, 95% CI 0.01–0.47) agreement, the reproducibility of reporting sub-endometrial lines/buds was fair for the intra-observer (K 0.22, 95% CI −0.02 0.47) and poor for the interobserver (K 0.00, 95% CI −0.20–0.19). The interobserver agreement for indirect features varied from poor to moderate, while the intra-observer agreement ranged between poor to good. Conclusions: The reporting of adenomyosis using direct features suggested by the revised MUSA group consensus showed only modest interobserver and intra-observer agreement. The definitions of ultrasound features for adenomyosis need further refining to enhance the reliability of diagnosis criteria of adenomyosis.

Clinical Profiles, Survival, and Lung Function Outcomes in ANCA-Associated Interstitial Lung Disease: An Observational Study.

Background/Objectives: Anti-neutrophil cytoplasmic antibodies (ANCAs) have been found in interstitial lung disease (ILD) in recent years, although its impact on ILD prognosis is less known. To date, ANCAs are not included in the interstitial pneumonia with autoimmune features (IPAF) definition criteria. Therefore, ANCA-ILD, in the absence of known ANCA-associated vasculitis (AAV), could be underdiagnosed. Our aim was to analyze the clinical profile and prognosis of ANCA-ILD patients. Methods: Patients diagnosed with ILD and positive ANCA were enrolled in a retrospective, monocentric cohort study. Lung function outcomes and mortality were assessed according to clinical, serological, radiological, and treatment characteristics. Survival was analyzed using Kaplan-Meier curves and Cox regression models. Results: A total of 23 patients were included, mostly women, with a median time from ILD diagnosis of 36 (24-68) months and a predominant anti-MPO pattern (56.5%). Nearly half of the patients had AAV, mostly microscopic polyangiitis (MPA). The presence of AAV was significantly associated with anti-MPO antibodies and an NSIP radiographic pattern. Overall, the fibrotic pattern (either UIP or fibrotic NSIP) was the most common (73.9%), mainly UIP (51.2%). However, it appeared less frequently in the AAV-ILD group. During follow-up, lung function impairment or radiological progression was observed in 65.2% of patients. Cumulative mortality incidence was high (43.4%), largely due to ILD itself (80%). A UIP pattern was associated with a higher and earlier mortality (HR 34.4 [1.36-132]), while the use of immunosuppressants showed a trend towards lower ILD-related death. Conclusions: In our cohort, ANCA-ILD patients mostly presented with fibrotic patterns, with AAV in almost half of the cases and a high and early mortality rate, which suggests the need to assess ANCA in all ILD patients.

Deep learning model to diagnose cardiac amyloidosis from haematoxylin/eosin-stained myocardial tissue.

Amyloid deposition in myocardial tissue is a definitive feature for diagnosing cardiac amyloidosis, though less invasive imaging modalities such as bone tracer cardiac scintigraphy and cardiac magnetic resonance imaging have been established as first steps for its diagnosis. This study aimed to develop a deep learning model to support the diagnosis of cardiac amyloidosis from haematoxylin/eosin (HE)-stained myocardial tissue. This single-centre retrospective observational study enrolled 166 patients who underwent myocardial biopsies between 2008 and 2022, including 76 patients diagnosed with cardiac amyloidosis and 90 with other diagnoses. A deep learning model was developed to output the probabilities of cardiac amyloidosis for all the small patches cutout from each myocardial specimen. The developed model highlighted the area in the stained images as highly suspicious, corresponding to where Dylon staining marked amyloid deposition, and discriminated the patches in the evaluation dataset with an area under the curve of 0.965. Provided that the diagnostic criterion for cardiac amyloidosis was defined as a median probability of cardiac amyloidosis >50% in all patches, the model achieved perfect performance in discriminating patients with cardiac amyloidosis from those without it, with an area under the curve of 1.0. A deep learning model was developed to diagnose cardiac amyloidosis from HE-stained myocardial tissue accurately. Although further prospective validation of this model using HE-stained myocardial tissues from multiple centres is needed, it may help minimize the risk of missing cardiac amyloidosis and maximize the utility of histological diagnosis in clinical practice.

Method for Extracting Multi-Component Terminological Units with Right Definitions from Scientific and Technical Texts

The paper proposes a method for extracting Russian-language multicomponent terms with right definitions in their structure. The analysis of modern methods, techniques and software tools for extraction of special terminology is carried out, and on its basis it is shown that they cover terms only with left definitions only. The formal structure of Russian-language multi-component terminological units with right definitions is investigated, where special attention is paid to their grammatical features, which include gender, case, number for Russian language nouns and adjectives. The inexpediencyof applying lemmatisation to all components of a term is substantiated. The correctness of morphological analyzers of Russian texts is analyzed in the aspect of their applicability to the extraction of multi-component terms. The models of five-component terms are given, which became the basis for the development of the method of extraction of Russian-language multicomponent terms with right definitions. The proposed structural models identify the nuclear element, left and right definitions, and grammatical features of the right definition for Russian-language multicomponent terms. The paper also illustrates he differences in the lists of Russian-language candidate terms when using traditional approaches that use lemmatisation at the first stage and the proposed method for extraction of multicomponent terms with right definitions.

Are Cactus Spines Modified Leaves? Morphological and Anatomical Characterization of Saguaro Seedlings (Carnegiea gigantea) with Special Focus on Aerial Organ Primordia.

The reduction of leaves was a key event in the evolution of the succulent syndrome in Cactaceae, evolving from large, photosynthetic leaves in Pereskia to nearly suppressed microscopic foliar buds in succulent Cactoideae. This leaf reduction was accompanied by the development of spines. Early histological studies, dating back a century, of the shoot apical meristem (SAM) in several species concluded that, in succulent cacti, axillary buds became areoles and leaves transformed into spines. However, these conclusions were based on limited observations, given the challenges of obtaining SAM samples from long-lived, often endangered species. Here, we present a complete study of early aerial organ development in seedlings of the iconic Carnegiea gigantea (saguaro), characterizing the different stages of seedling development. We focus on the SAM to track the emergence and development of primordia and aerial organs, closely following the spine development from undifferentiated structures. We demonstrate that young, few-days-old saguaro seedlings provide a valuable model for morpho-anatomical and molecular studies in Cactaceae. We also outline optimal laboratory practices for germinating saguaro seeds and conducting histological studies. Our observations confirm the absence of clear foliar structures and the presence of a distinct type of primordia, hypothesized to be foliar but lacking definitive foliar features. Based on our observations and a review of the literature, we revive the discussion on the ontogenetic origin of spines and propose saguaro seedlings as a promising model for studying the genetic identity of SAM primordia.

The mechanism of cryptocurrency adoption as a means of payment in business

This article examines the theoretical foundations and conceptual specifics of the mechanism for adopting cryptocurrencies as a payment method in business. It discusses the definition and key features of this mechanism, along with summarizing essential recommendations for the use of cryptocurrencies and crypto assets in business payments. The cryptocurrency adoption framework is analyzed through the organizational–economic mechanism, aiming to achieve practical objectives such as cost reduction, improved access to cross–border payments, and transaction security with crypto assets. The article stresses the importance of risk analysis related to cryptocurrency use and the development of risk mitigation methods through proactive management and the application of appropriate tools. The conclusions highlight the feasibility and benefits of using an organizational–economic mechanism to incorporate crypto assets into business payment processes, ensuring efficiency and adaptability of crypto assets or other alternative payment instruments. The study’s novelty lies in its contribution to the development of a mechanism for integrating cryptocurrencies into business operations, while its theoretical value is in the synthesis and clarification of key issues related to cryptocurrency acceptance in business. The proposed concept and vision of the organizational–economic mechanism to enhance the efficiency of cryptocurrency use in business payments offer valuable insights for future research and practical implementation.

Connectivity-based striatal subregion microstructural changes in sporadic amyotrophic lateral sclerosis patients: Relation to motor disability, cognitive deficits, and serum biomarkers.

To date, no previous studies have used multishell diffusion MRI to identify striatal microstructural damage invivo in amyotrophic lateral sclerosis (ALS) patients. Thus, in the present study, we aimed to comprehensively explore connectivity-based selective striatal subregion microstructural damage in sporadic ALS patients and its associations with motor disability, cognitive deficits, and serum biomarkers. In this retrospective study, 79 ALS patients and 53 healthy controls (HCs) who underwent clinical assessment, serum neurofilament light (NfL) measurement, genetic testing, and multishell diffusion MRI scanning were included. Using a probabilistic tractography approach, the striatum was segmented into six subregions based on their corticostriatal connectivity. Three neurite orientation dispersion and density imaging (NODDI) parameters, the neurite density index (NDI), orientation dispersion index (ODI), and isotropic volume fraction (ISO), of the connectivity-based striatal subregions were measured. Compared with HCs, ALS patients had a significantly lower NDI in the bilateral motor and right frontal subregions, a significantly lower ODI in the right motor and frontal subregions, and a significantly higher ISO in the bilateral motor and frontal subregions of the striatum after familywise error (p < 0.05). Moreover, striatal subregion microstructural damage was significantly correlated with motor disabilities, cognitive deficits, and serum NfL levels in ALS patients (p = 0.020-0.002). Our study provides clear evidence demonstrating that connectivity-based selective striatal subregion microstructural damage is a definite feature of sporadic ALS patients and suggesting that striatal damage may play an important role in motor disability and cognitive deficits in ALS patients.

ІНТЕРПРЕТАЦІЙНА МОДЕЛЬ ДЕТЕКТИВУ(ЗА ПРОГРАМОЮ З ЛІТЕРАТУРИ НОВОЇ УКРАЇНСЬКОЇ ШКОЛИ)

The interpretive model of HalynaVdovychenko’s detective story «36 and 6 detective cats» (studied according to the program of Ukrainian literature by M. Chumarnaia, N. Pastushenko in the 5th grade of NUS) is based on the definition of the genre-creating features of the detective story, novel, fable, fairy tale; combination of theoretical conclusions and the practice of literary analysis. A new work of art in the program is interpreted with the involvement of current knowledge, skills, attitudes that belong to a whole range of educational subjects (Ukrainian language, Foreign literature, Biology and Ecology, Economics, Financial literacy, History), students acquire the ability to argue reasoning about what they have read, citing examples from various specialties, spheres of life. It is substantiated that reading and interpreting detective stories not only contributes to the awareness of universal values on which social laws and norms are built, it is important for the understanding and application of typical formal-logical elements (hypotheses, versions, proofs); is an opportunity to work on the comments published in the National PISA-2022 results report on reading about the under development of our schoolchildren’s abilities to analyze, systematize facts, and form logical conclusions. Does not contribute to the students’ understanding of the concept of the detective genre: the proposal of the program compilers to read the work abbreviated, problems of accessibility for reading in full, appropriateness of the age of fifth-graders; information redundancy due to the same works (excerpts) in the programs; conceptual inconsistency in the content of terms, ill-conceived system of questions and tasks in the school textbook; critical comments on the aesthetic quality of H. Vdovychenko’s detective story «36 and 6 detective cats». To a certain extent, the analysts of current model programs on Ukrainian literature are right about the formal nature of the reform. Practical application of the content of the article: the development of innovative educational, methodological and literary support for the systematization of the study of Ukrainian literature, the organization aimed at achieving the specified educational results of the activity of students, in particular, in the current State Standard of basic secondary education of general skills: «perceive, analyze, interpret, critically evaluate information in artistic texts of various genres», including an explanation of experts' comments regarding non-compliance with the criteria of artistic and aesthetic perfection.

Linguistic Markers of Subtle Cognitive Impairment in Connected Speech: A Systematic Review.

This systematic review covers the current stage of research on subtle cognitive impairment with connected speech. It aims at surveying the linguistic features in use to single out those that can best identify patients with mild neurocognitive disorders (mNCDs), whose cognitive changes remain underdiagnosed. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines and proposed a full definition of features for the analysis of speech features. Fifty-one studies met the inclusion criteria. Most of them focused on age-related progressive diseases and included fewer than 30 subjects. A total of 384 features labeled with 335 different names was retrieved, yielding various results in discriminating individuals with mNCDs from controls. This finding highlights the need for harmonized labels to further investigate mNCDs with linguistic markers. We suggest two different ways of assessing a feature's reliability. We also point out potential methodological issues that remain to be resolved, along with recommendations for reproducible research in the field.

Налоговое право КНР на современном этапе и налоговые вызовы платформенной экономики

The article focuses on the select issues of modern tax law of the People’s Republic of China (PRC). The author starts with definition of the key features of Chinese tax law that must be taken into account when analysing it. In particular, the author shows relationship between tax reform and general economic reform, explains how several tax systems co-exist within one state, and gives brief description of the tax system of mainland China. The second part of the article presents in detail the system of legal regulation of taxation in the PRC and reflects the trends in its development. To enhance a better understanding of the features of the legal regulation of taxation in China, the author makes comparisons with sources of Russian tax law. The third part of the article gives overview of the taxation of the platform economy in China, including measures of tax support for the digitalisation of the economy.

High-grade Endometrial Carcinomas With Solid Basaloid Morphology and Geographic Necrosis Lacking Definitive Pilomatrix-like Features: Clinicopathologic Characteristics Including Aggressive Behavior and Novel Molecular Events.

High-grade endometrioid carcinomas occasionally demonstrate solid basaloid morphology with geographic necrosis (SB-GN). This pattern is among the defining features of pilomatrix-like high-grade endometrioid carcinoma (PiMHEC), a recently proposed tumor type which is additionally characterized by the presence of shadow cells, abnormal beta-catenin/CTNNB1 mutations, strong CDX2 expression, and poor outcomes. Clinicopathologic overlap between PiMHEC and other high-grade endometrial cancers with SB-GN has not been established. We screened 300 endometrial carcinomas on tissue microarray for SB-GN histology and performed a detailed whole-section morphologic review, immunohistochemical analysis, and next-generation sequencing on all cases bearing this pattern. Four (1.3%) demonstrated SB-GN. All 3 with clinical follow-up had extremely aggressive behavior despite being MMR-deficient; in contrast, only 27% of other MMR-deficient high-grade carcinomas recurred. One SB-GN case met most of the previously outlined diagnostic criteria for PiMHEC including abnormal beta-catenin/CTNNB1 (p.S37P variant) and strong CDX2 expression; notably, however, shadow cells were absent. This case also demonstrated a KRAS p.A59T pathogenic variant. The other 3 cases also lacked shadow cells; the 2 with sequencing data bore no CTNNB1 abnormalities but showed likely oncogenic variants involving the pilomatrixoma-associated gene FGFR2. All 3 cases with molecular results also bore somatic Notch pathway (NOTCH1/NOTCH2/NOTCH3) variants. The single case treated with immunotherapy showed complete and sustained response with regression of bone metastases despite abnormal beta-catenin/CTNNB1, which has been associated with immunotherapeutic resistance. These data suggest that the SB-GN pattern may connote a poor prognosis even in the absence of overt pilomatrix-like differentiation, and that novel molecular events may have implications for the treatment of these tumors.

Lessons learned: strategies for implementing and the ongoing use of LI-RADS in your practice.

The establishment of the Liver Imaging Reporting and Data System (LI-RADS) in 2011 provided a comprehensive approach to standardized imaging, interpretation, and reporting of liver observations in patients diagnosed with or at risk for hepatocellular carcinoma (HCC). Each set of algorithms provides criteria pertinent to the various components of HCC management including surveillance, diagnosis, staging, and treatment response supported by a detailed lexicon of terms applicable to a wide range of liver imaging scenarios. Before its widespread adoption, the variability in the terminology of diagnostic criteria and definitions of imaging features led to significant challenges in patient management and made it difficult to replicate findings or apply them consistently. The integration of LI-RADS into the clinical setting has enhanced the efficiency and clarity of communication between radiologists, referring providers, and patients by employing a uniform language that averts miscommunications. LI-RADS has been strengthened with its integration into the American Association for Study of Liver Diseases practice guidelines. We will provide the background on the initial development of LI-RADS and reasons for development to serve as a starting point for conveying the system's benefits and evolution over the years. We will also suggest strategies for the implementation and maintenance of a LI-RADS program will be discussed.

Clarification the terms and definitions related to neurofibromatosis type 1

To summarize the terms and definitions related to neurofibromatosis type 1 (NF1) with a view to standardizing and unifying the existing terminology system. To review the research literature related to NF1 at home and abroad, and to summarize the expressions of the disease and related terms. There are still some limitations in the current knowledge of NF1, especially in the expression of the terminology, and there are discrepancies in the description and naming of NF1-related features in different medical literatures and clinical guides. There are differences in the description and naming of NF1-related features in different medical literature and clinical guidelines. Through a systematic review of the literature, this paper provides a detailed compendium and summary of the terms and definitions of NF1-related clinical manifestations, pathological features, and genetic types, and further standardizes and unifies existing diagnostic criteria and terminology systems. The terms and definitions of NF1-related clinical manifestations are summarized to enhance the knowledge of clinicians and researchers related to NF1.

Features of Definitions of Modern Terminology of Ecological and Economic Processes

The article considers approaches to definitions of terms used to analyze the impact of production and human activity on the environment. Understanding the essence of the term allows you to correctly assess and build actions to manage processes affecting environmental violations. The purpose of the article is to define a category reflecting the integration of economic and environmental goals of human activity. Definitions of the most common ecological and economic terms are considered. The author's approach to the definition of the term environmental friendliness of production is proposed and its significance is substantiated.

7355 A Case of High-Risk Thyroid Tumor Markers Found in Subcutaneous Thyroid Implants in a Patient with Benign Thyroid Pathology

Abstract Disclosure: J. Fedorko: None. S. Fatima: None. A.P. Amblee: None. C.A. Poku: None. Background: While fine needle aspiration (FNA) remains the primary diagnostic tool for thyroid malignancies, the utilization of molecular markers has become increasingly common in the workup of thyroid nodules. They play a useful role in distinguishing between malignant and benign pathology when cytology is indeterminate and in formulating treatment plans. The vast majority of research for these genetic markers is conducted in cases with thyroid malignancy. However, there have been numerous cases where these genetic markers were identified in benign thyroid tissue. Case: A 73-year-old male with left hemithyroidectomy (benign left nodule) presented 6 years later with new superficial neck nodules along the midline, left thyroid bed and R thyroid lobe. FNA of the right thyroid nodule was benign. Three months later the patient underwent an excision of the midline neck nodules which revealed thyroid tissue arranged in nests of fibrotic tissue without definite features of papillary thyroid carcinoma. Molecular analysis (Thyroseq) was positive for HRAS, E1F1AX and TERT mutations thus metastatic follicular carcinoma was suspected. The patient underwent complete thyroidectomy. Pathology revealed normal thyroid tissue and a diagnosis of thyroid neck implants was made. Given the benign pathology, the plan was for close follow-up with neck imaging every 6 months. Discussion: Thyroid tissue implants can rarely be caused by previous surgical interventions, especially partial thyroidectomy. There is literature documenting similar clinical cases in which subcutaneous thyroid implants are found in patients after undergoing total or subtotal thyroidectomy. In one case series, there were cases in which thyroid implants were discovered 26 years post-surgery, with most of the cases reporting benign pathology. Given our patient’s presentation and clinical history, the possibility remains that his subcutaneous tissue findings were caused by his prior partial thyroidectomy. A recent article reviewed 60 publications and &amp;gt;8000 patients for the prevalence of high-risk tumor markers (RAS mutation, RET/PTC, and PAX8/PPAR-gamma chromosomal rearrangements) in benign thyroid tissue. They concluded that prevalence findings were highly variable, warning providers to exercise caution when using these genetic markers to guide diagnosis and treatment decisions. Conclusion: While certain high-risk genetic tumor markers are increasingly used to help identify thyroid malignancies, it is important to keep in mind that these genetic markers are not exclusively found in cancerous tissue, and should not be used as the sole diagnostic tool for diagnosis and treatment. While it is imperative that metastatic disease is ruled out, it is essential to consider other pathologies when evaluating recurrent thyroid and neck masses in patients with a history of benign thyroid lesions. Presentation: 6/3/2024

Dermoscopic Distinction of Tinea Incognito on the Face and Topical Steroid Damaged Face: A Cross-Sectional Study in Skin of Color.

Dermatophytosis is widespread in India due to recalcitrant and resistant infection. Tinea incognito (TI) is modified dermatophytosis due to the inadvertent use of topical steroids (TS). Similarly, topical steroid-damaged face (TSDF) is caused by prolonged use of TS. Distinction of TI and TSDF is difficult when the face is affected. Dermoscopy can assist in the differentiation of both by revealing characteristic features. We evaluated the dermoscopic features in TI affecting the face and TSDF. To evaluate the clinical and dermoscopic features of TI affecting the face and TSDF. To observe the involvement of eyelids in TI as opposed to TSDF. The study was conducted in a tertiary hospital after obtaining ethical clearance and informed consent. Patients with signs of TI or TSDF were enrolled and demographic data were collected. Patients who had applied TS/combination creams were included. A handheld dermoscope with 10x magnification was used. A potassium hydroxide mount was used to confirm the diagnosis of TI. Out of 80 patients, 27 males and 53 females were present. The mean duration of application was 8.25 ± 7 months. Clinical features were pruritus, erythema, scaling, and burning sensation. Eyelid involvement was noted in TI while it was spared in TSDF. On dermoscopy, morphological features were predominant in TI whereas vascular structures were found in TSDF in addition to white rosettes. Dermoscopy distinguishes TI from TSDF comprehensively by demonstrating definitive features. In addition, the involvement of the eyelid is an excellent clinical sign of TI.

Analyzing the Interplay Between Competition State Anxiety, Motor Motivation, and Coping Styles Among Adolescent Track and Field Athletes

The relationship between competition state anxiety, motor motivation and coping styles of adolescent track and field athletes in China was investigated using interview and questionnaire research methods. The results showed that the mean scores of cognitive state anxiety and somatic state anxiety were lower in junior track and field athletes who had entered the echelon for a short period of time than in older athletes, and the opposite was true for state self-confidence; there were highly significant differences and significant differences in the identity regulation and introjection regulation dimensions of motor motivation; and there were significant differences in the focused problem-solving coping dimension of coping style. This paper proposes an algorithm for classifying athletic visual mirrors based on sequential model mining. This paper focuses on two issues – feature extraction and definition of semantic rules. In the feature extraction stage, the track and field video footage is automatically segmented into a series of identifiable sequences of athletic events, and then each type of behavioral event is identified using a mechanically learned algorithm. There were no significant differences between the three age groups in terms of race state anxiety, identity regulation and introjection regulation, and no significant differences in coping styles. There were no significant differences in the anxiety of competition status, motivation and coping styles among youth athletes of different sport levels. The results showed the effectiveness of the present algorithm for classifying track and field video cameras.

Comparison of Deep Learning Models for Multi-Crop Leaf Disease Detection with Enhanced Vegetative Feature Isolation and Definition of a New Hybrid Architecture

Comparison of Deep Learning Models for Multi-Crop Leaf Disease Detection with Enhanced Vegetative Feature Isolation and Definition of a New Hybrid Architecture