Search System Research Articles

Обратное ремоделирование левого желудочка у пациентов с многососудистым поражением при инфаркте миокарда после реваскуляризации

The role of factors leading to reverse LV remodeling in patients with multivessel ischemic heart disease after percutaneous coronary intervention (PCI) has not been sufficiently studied. The purpose of this article is to provide a brief and concise review of the current understanding of the pathophysiology, clinical predictors, and studies of LV reverse remodeling after complete and incomplete revascularization in patients with multivessel coronary disease. Materials and methods. A systematic review and meta-analysis was conducted in the search systems: eLIBRARY.RU, PubMed, Medline, ResearchGate, Connected papers and Google Scholar mainly from 2019 to 2024 (85.7 %). Results. The cumulative evidence suggests that key factors that can initiate and maintain remodeling processes include myocardial ischemic injury, chronic inflammation, neurohormonal activation, and oxidative stress. A decrease in all these factors can lead to reverse myocardial remodeling. This is possible with complete revascularization during primary PCI, which leads to improved clinical course and reduced 30-day, 1-year and 3-year mortality rates. A combination of biomarkers from different groups may be suitable for predicting reverse remodeling (brain natriuretic peptide precursor-N-terminal natriuretic hormone propeptide, high-sensitivity troponins, C-reactive protein and creatinine kinase), as well as echocardiographic findings, especially 3D-echocardiographic assessments of ventricular volumes, mass and ejection fraction. Conclusion. Complete revascularization is feasible and has great advantages over revascularization of only one infarct-related coronary artery.

JPaleoDB: One-Stop Search for Japan's Paleontological Collections

The Japan Paleobiology Database (jPaleoDB)*1*2 is a portal website for one-stop searching of paleontological specimens housed in museums across Japan. It contains data for over 430,000 specimen records from 50 museums and institutions as of July 2024 (Table 1). These records include over 7,000 holotypes, more than 100,000 voucher specimens, and represent over 13,000 genera in the Animalia kingdom, over 1,100 genera in the Plantae kingdom, and over 980 genera from other groups. This portal site allows users to search for paleontological specimens from various museums simultaneously, eliminating the need to navigate individual museum databases with different formats and search systems. Search results provide users with detailed information about each specimen, including scientific name, locality, repository, catalog number, type status, and publication. Additionally, results link directly to the corresponding specimen page on each museum's website. jPaleoDB's mission is to establish a network that facilitates the use of paleontological specimens in Japan for research and education. It has further expanded to support curatorial work in each museum by digitizing catalogs to create datasets of currently hidden paleontological collections. jPaleoDB is a research project built and operated by a group of individual researchers from universities and museums, not by a large organization like a national agency or academic society. Integrating data from museums that house specimens is challenging due to the difficulty of automation. As a result, much of the data requires manual curation. In addition, data for voucher specimens described in publications (paleontological papers, illustrated books, catalogs) are incorporated into jPaleoDB by analyzing publicly available resources and examining actual specimens at museums. Because of these reasons, jPaleoDB is still under development. We believe this portal site will be valuable for exploring the comprehensive record of paleontological specimens in Japan and helping users locate specific specimens of interest.

FATORES ASSOCIADOS À QUALIDADE DE VIDA DE CUIDADORES DE IDOSOS COM DEMÊNCIA

The objective of this study was to analyze the factors that influence the quality of life of caregivers of elderly people with Alzheimer's dementia. An integrative literature review study was conducted using the secondary databases Virtual Health Library, Latin American and Caribbean Health Sciences Literature, Scientific Electronic Library Online and Online System for Search and Analysis of Medical Literature based on the specific descriptors retrieved in the Health Sciences Descriptors. The factors associated with the quality of life of caregivers of elderly people with Alzheimer's dementia were burden, functional decline and dependence of the elderly to perform activities of daily living, degree of dementia severity, longer time since diagnosis and living with the demented elderly, socioeconomic conditions, psychological stress and decline in social relationships, environment domain, psychological and physical. It is essential that care is also cared for, both from the point of view of health and in relation to public policies of social security and assistance.

Research on the biophysical properties of circulating tumor cells

This article reviews the biophysical properties of circulating tumor cells (CTCs) and their significance in tumor metastasis and liquid biopsy. CTCs are tumor cells that have shed from solid tumors or metastatic foci and entered the bloodstream, possessing various biological markers. They may be cleared by the immune system, enter a dormant state, or form clusters to facilitate metastasis. The physical properties of CTCs, including cell size, density, rigidity, and dielectric properties, differ from normal blood cells, providing a theoretical basis for separation and detection. The biological characteristics of CTCs include epithelial cell properties, expression of specific surface marker proteins, and the characteristics of epithelial-mesenchymal transition, which are crucial for the aggressiveness and metastatic potential of tumors. The development of CTC detection technologies, such as the Cell Search system, has been clinically applied, but the heterogeneity of tumor cells remains a major challenge in research. The development of composite separation technologies that combine various properties of CTCs is expected to improve the sensitivity, specificity, and efficiency of CTC detection, thereby playing an important role in the personalized treatment and prognostic assessment of tumors.

National Dictionary Fund: New Opportunities and Prospects

On behalf of the President of the Russian Federation, we have started working on the creation of the National Dictionary Fund (NDF). NDF is a digital resource that contains electronically recorded data on the functioning of the norms of the Russian language from various dictionaries. The development of NDF is due to the need to create a single, complete body of scientific knowledge, reliable and objective information about the norms of the Russian language in their current state and historical dynamics in a certain era of its development, as well as the history of the vocabulary of the modern Russian literary language from the time of its appearance to the present day. The system of Russian dictionaries will be integrated into a single network operating in a continuous development mode and representing an interactive dynamic model of the lexical system of the modern Russian language. It is supposed to have open access to information through a convenient digital tool with simple navigation. The NDF will be equipped with linguistic markup and an online search system for necessary information. NDF will offer the user not only the opportunity to see the information from a particular dictionary, but will also provide an expertly developed tool for extracting various types of language information from dictionaries.

Implementing geographic information systems in academic paper search: A framework and case study: GISAPS

The Geographic Information Systems Academic Publication Search (GISAPS) project pioneers the integration of spatial data into academic research through a novel online platform. Utilizing Web Map Service (WMS) and advanced search functionalities, GISAPS enables efficient access and analysis of georeferenced academic publications. This paper outlines the development and capabilities of GISAPS, including experimental WMS layer integration for enhanced data visualization. Key contributions include facilitating interdisciplinary research, improving spatial data accessibility, and promoting open science through its open-source framework. GISAPS's implications for academia and the research community are significant, offering new avenues for data-driven research and education. Future enhancements aim to incorporate real-time data feeds, advanced spatial analysis tools, and mobile accessibility, ensuring GISAPS remains at the forefront of GIS technology in academic settings.

Review Quantum Circuit Synthesis for Grover’s Algorithm Oracle

The search for information in a system has been a continuous problem for a computer. This has resulted in the construction of a set of classical algorithms that can search for a set of data. This is why search systems can be divided into the type of information being searched, the number of solutions to find, and even the terms used for searching. With the emergence of quantum computing, new algorithms have been generated for this type of process. An example is the Grover algorithm, which performs theoretically better than traditional algorithms. This is why there has been research on optimizing it, applying it to new fields, and making it more accessible to industry users. Even if the algorithm is a promising alternative, one of the disadvantages of Grover’s algorithm is the use of an oracle function that must be generated for every set of search data. This review describes three sets of methodologies for generating quantum circuits that can be applied to constructing this oracle quantum circuit.

Developing the Digital Museum Using Various Images and Geographic Information Systems

Digital archiving of museum collections is a global trend, but web platforms for archival data are not yet well developed. Many of the portal sites developed in Japan lack images and geographical information, making them difficult to use for non-specialists. Therefore, local museums, such as the Lake Biwa Museum, require web platforms that are easy to use for local users. Recently, rapid developments in digital technology have made it easier and cheaper to customize web platforms. Furthermore, the Japanese Government now provides financial support for the digitization of collections. This has made it possible for museum staff, who are not specialized in digital technology, to develop web platforms. Two projects have therefore been set up. Digital Museums using Various Images (DMVI): 3D and high-resolution images of various collections are made available on websites as databases for the museums' collections, which can also be used for exhibitions. Digital Museums using Geographical Information Systems (DMGIS): in addition to distribution maps of specimens and survey data, maps from the past to the present can be superimposed to understand the changes in the habitats of living organisms. The 3D models developed by DMVI can be rotated, enlarged, and reduced, providing a new experience as if you were holding a valuable material that you would not normally be able to touch. The DMVI project is also working towards the development of illustrated databases limited to the organisms found in Shiga Prefecture. Meanwhile, the easy-to-use illustrated search system, DMGIS, is promoting information on bird distributions and cross-disciplinary mapping. For example, specimens and observation data can be plotted and viewed on current maps, and changes in the distribution of birds can be followed along a time axis. This content is intended for use in environmental education and nature conservation. By building an easy-to-use web platform, the aim is to develop a ‘digital museum.’

Computer Vision Search System for the Identification of Power Flow Faults in Micro Electric Networks

To improve the safety of microgrid operation, this paper uses a computer vision search system to study the identification of power flow faults in microgrids. Firstly, a power flow fault detection method based on a message transmission network was proposed, and the fault mapping from the microgrid fault to each node was constructed, and the power flow fault of each node in the microgrid was extracted. Then, by migrating the long short-term memory network to identify power flow faults in microgrids, the influence of computer vision search system on power flow fault identification in microgrids was comprehensively analyzed. The simulation results show that the proposed method can effectively improve the accuracy of power flow fault identification in the microgrid to improve the safety of the microgrid operation.

Improving Web Search Results Using KWSSWS System

In today's digital age, efficient web searching and PDF retrieval have become crucial for various applications and industries. Development Operations (DevOps) plays a vital role in enhancing web search capabilities and streamlining PDF retrieval processes. This research paper explores the implementation of the Keyword Search System on Web Searching (KWSSWS) on Google PDFs retrieval to improve both DevOps and web searching for PDF documents. The study investigates the effectiveness of the (KWSSWS) system in enhancing the search experience and the performance of DevOps processes. The research methodology involves an experimental design and data analysis to evaluate the system's performance using real-world data. The results demonstrate the potential of the (KWSSWS) system to enhance web searching and PDF retrieval, thus providing valuable insights for further advancements in this domain. The advantage of the proposed (KWSSWS) system is that the collected files are very accurate and match the entered keywords hundred percent. This system is very useful primarily for all researchers around the world in various disciplines, where consider time and quality as the most important factors.

Searchsmart.org: Guiding researchers to the best databases and search systems for systematic reviews and beyond.

When searching for scholarly documents, researchers often stick with the same familiar handful of databases. Yet, just beyond these limited horizons lie dozens of alternatives with which they could search more effectively, whether for quick lookups or thorough searches in systematic reviews or meta-analyses. Searchsmart.org is a free website that guides researchers to particularly suitable search options for their particular disciplines, offering a wide array of resources, including search engines, aggregators, journal platforms, repositories, clinical trials databases, bibliographic databases, and digital libraries. Search Smart currently evaluates the coverage and functionality of more than a hundred leading scholarly databases, including most major multidisciplinary databases and many that are discipline-specific. Search Smart's primary use cases involve database-selection decisions as part of systematic reviews, meta-analyses, or bibliometric analyses. Researchers can use up to 583 criteria to filter and sort recommendations of databases and the interfaces through which they can be accessed for user-friendliness, search rigor, or relevance. With specific pre-defined filter settings, researchers can quickly identify particularly suitable databases for Boolean keyword searching and forward or backward citation searching. Overall, Search Smart's recommendations help researchers to discover knowledge more effectively and efficiently by selecting the more suitable databases for their tasks.

Development of Ancient Khmer Stone Castle Ontology

This research delves into the development of ontology, a crucial aspect of knowledge organization system studies. The primary goal is to establish a semantic search system tailored to the Khmer stone castles of the Greater Mekong Subregion (GMS), specifically addressing the challenge of semantic gaps. This paper details a novel approach to developing ontologies for Khmer stone castles in the GMS to enhance our understanding of these countries' rich and ancient cultural heritage. A systematic four-step theoretical framework for ontology development was adopted, utilizing the Hozo Ontology Editor to create the ontologies by used the Wizard for documenting ontologies (WIDOCO) framework for web ontology platform. This methodology plays a key role in differentiating relevant from irrelevant data, thus significantly improving the efficiency of semantic searches. Central to this study is developing a comprehensive ontology encompassing ten primary classes: castle, location, country, Khmer art, art type, castle size, castle type, material, religion, and condition. This ontology is foundational for developing a semantic search system designed explicitly for the Khmer stone castles in the GMS. The insights from this research offer significant implications for advancing semantic search systems in cultural heritage, providing a robust framework for future studies in this field.

LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes

Searching tables from poorly maintained data lakes has long been recognized as a formidable challenge in the realm of data management. There are three pivotal tasks: keyword-based, joinable and unionable table search, which form the backbone of tasks that aim to make sense of diverse datasets, such as machine learning. In this demo, we propose LakeCompass, an end-to-end prototype system that maintains abundant tabular data, supports all above search tasks with high efficacy, and well serves downstream ML modeling. To be specific, LakeCompass manages numerous real tables over which diverse types of indexes are built to support efficient search based on different user requirements. Particularly, LakeCompass could automatically integrate these discovered tables to improve the downstream model performance in an iterative approach. Finally, we provide both Python APIs and Web interface to facilitate flexible user interaction.

Heterogeneous cross domain coordinated control of ASV-AUV system for maritime search and rescue

This paper is concerned with a coordinated search and rescue problem of heterogeneous ocean vehicle cluster composed of autonomous surface vehicles (ASVs) and autonomous underwater vehicles (AUVs) subject to model uncertainties and ocean disturbances. Firstly, a three dimensions (3D) cross domain kinematic controller with auto-stop function at the rescue points is designed for the coordinated ASV-AUV system by using a line-of-sight guidance law. Secondly, an event-triggered based communication mechanism is constructed to ensure that the ASV-AUV system can broadcast information at its trigger moments except to the auto-stop points. Finally, an adaptive motion control law based on a low-frequency learning fuzzy predictor is designed, which is able to filter out the high-frequency components of uncertainties and disturbances. The stability of the closed-loop system is proven by employing input-to-state stability and cascade stability analysis. Simulation results and numerical analysis show the effectiveness of the proposed 3D heterogeneous cross domain coordinated path following controller with auto-stop function for marine search and rescue.

Risk Factors Affecting the Outcomes of CT-Guided Radiofrequency Thermocoagulation of the T3 Sympathetic Nerve in the Treatment of Craniofacial Hyperhidrosis.

Current studies mostly suggest that hyperhidrosis is caused by relative sympathetic hyperactivity. Sympathetic radiofrequency thermocoagulation is widely used in clinics. Previous studies have demonstrated that surgery at T3 is effective and safe compared with higher levels, so craniofacial hyperhidrosis in our hospital is selected to be treated at T3. However, some patients pursue repeat medical treatment due to an increase in hyperhidrosis at the original site after surgery. Previous studies have demonstrated the significance of Perfusion index (PI) value in the recurrence of palmar hyperhidrosis, but there is no relevant study on craniofacial hyperhidrosis. Clinical data from patients with craniofacial hyperhidrosis, who underwent T3 sympathetic radiofrequency thermocoagulation at Jiaxing First Hospital (Jiaxing, China) between January 1, 2018 and December 31, 2021, were analyzed. Recurrence in patients 1 year after surgery was recorded through a case search and telephone follow-up system that registered patient information. Clinical data were analyzed using binary logistic regression analysis to investigate risk factors associated with recurrence in patients with craniofacial hyperhidrosis 1 year after surgery. Of 83 patients included in the present study, 34 (40%) experienced increased craniofacial sweating 1 year after surgery. Results of univariate logistic regression analysis revealed that computed tomography (CT) scan count, increase in pulse index (PI) at the fingertips, and differences in forehead temperature were potential risk factors for postoperative recurrence in patients with craniofacial hyperhidrosis (p<0.2), and the results were consistent on both sides. Three potential risk factors were included in the multivariate logistic regression analysis and results revealed that the risk for recurrence was reduced by 48% (left side) and 67% (right side) for every 1 unit increase in PI value. A small increase in PI was an independent risk factor for recurrence of hyperhidrosis in patients with craniofacial hyperhidrosis after undergoing T3 sympathetic radiofrequency thermocoagulation.

PRINCIPLES OF PROVIDING FIRST AID

The article discusses methods and guidelines for providing first aid in emergency situations, emphasizing the importance of systematically and carefully executing the necessary actions. The author highlights the need for everyone to possess first aid skills, as this can significantly increase the chances of saving lives in critical moments. The article presents processed and analyzed data sourced from research literature available in electronic search systems such as Cyberleninka.ru and eLIBRARY, as well as in international databases like Scopus, covering the period from 2018 to 2024.

Factors associated with cervical cancer prevention coverage

Objective: To evaluate the factors associated with cervical cancer prevention coverage. Methods: an integrative literature review was conducted, articles retrieved from the secondary databases Virtual Health Library, Latin American and Caribbean Health Sciences Literature, Scientific Electronic Library Online and Online System for Search and Analysis of Medical Literature were analyzed, based on Boolean operators. Results: the factors associated with this outcome were being married/widowed/separated/divorced, not being a smoker, having health insurance, having seen a doctor in the last year and having a domicile registered in the Basic Family Health Unit, factors such as not being scheduled by the professional, women with a family income of up to 1 minimum wage, who studied up to the 4th grade, residents in the Northeast region and in municipalities with up to 20,000 inhabitants, women who had never attended school, with four or more children, a history of four or more births, who did not use contraception and had inadequate knowledge about the test, feelings of shame, fear and fear of the diagnosis represented barriers to the performance of the test. Conclusion: the data of the study indicate that the factors that influence the coverage of cervical cancer prevention tests may be individual, structural and access, technical and cultural.

Current advances of oral cancer in Taiwan.

To provide updated statistics of oral cancer incidence and mortality in Taiwan, and to describe recent developments for oral cancer control to reduce oral cancer incidence and mortality. The Taiwan Cancer Registry Annual Report 2023, the Taiwan Cancer Registry Online Interactive Search System, and the 2023 Health Promotion Administration Annual Report are consulted and summarized. A literature search using PubMed was also conducted to identify Taiwan oral cancer control-related studies. Taiwan, with a long history of areca/betel quid chewing, has battled with oral cancer for decades. In 2021, the male lip and oral cavity cancer incidence is 29.77 (per 100,000 persons) and mortality is 11.25. Over these years, the male chewing prevalence was reduced to 6.2% in 2018. Taiwan has a sustained national oral cancer screening programme provided to high-risk groups biennially. Although the age-standardized incidence rates have been slowly decreasing since 2009, due to Taiwan's ageing population, the actual oral cancer burden is still stringent. The collaboration of multi-ministries and agencies on promoting areca nut and betel quid control, improving oral cancer awareness, and delivering cancer care remains essential to prevent oral cancer and reduce oral cancer deaths.

Developing the hybrid BIM-BEM and jellyfish search optimization system for optimizing energy consumption and building installation costs

In recent years, the use of Building Information Modeling (BIM) with Building Energy Modeling (BEM) has become the primary research focus for reducing the energy consumption of buildings in the planning and operational phases. The combination of BIM and BEM offers advantages for the various phases of a construction project. However, there are currently very few studies that can integrate multi-objective optimization algorithms into the BIM-BEM process to achieve automatic optimization and effectively manage many aspects of building development. In this study, an EnergyPlus integrated multi-objective jellyfish search (EP-MOJSO) system was developed, utilizing an optimization algorithm to find the best thermal insulation layers for an Aluminum composite material (ACM) wall. The goal is to reduce the energy consumption and total cost in a BIM-BEM environment. In the case study, the authors successfully applied the system to a real building, resulting in a 10.7% reduction in total cost and a 65 kWh/m2/year reduction in EUI. It is expected that the results of the study will open up new ways of using algorithms for multi-criteria optimization in BIM models to optimize various project factors such as energy and total cost and thus make an important contribution to sustainable building design.

Quality of life of professionals working in primary care

Objective: To analyze the factors associated with the quality of life of health professionals working in primary care. Methods: an integrative literature review was conducted using the secondary databases Virtual Health Library, Latin American and Caribbean Health Sciences Literature, Scientific Electronic Library Online and Online System for Search and Analysis of Medical Literature based on the specific descriptors retrieved from the Health Sciences Descriptors. Results: the following factors were identified as associated with the outcome: inadequate conditions to perform work, lack of organization and difficulty in social relationships, professional occupation, with community health agents being the professionals with the lowest quality of life, followed by mid-level professionals, in the qualitative data, the perspectives that most impact the quality of life were infrastructure and salary deficits, Regarding the quality of life domains, there was great variation in the findings of the various studies. Conclusion: the data of the study indicate that the factors that influence the quality of life of professionals working in primary care are complex and multifaceted, ranging from individual variables or to the work environment.