bluuebunny/crossref_metadata_2025 huggingface dataset:
Biomechanical Parameters of the Cornea in Patients Who are Candidates for Laser Refractive Surgery with Complex Myopic Astigmatism and Dry Eye Syndrome
Authors: Klokova О. A. , Sakhnov S. N. , Zabolotniy A. G. , Аliev M. B. , Kacharov A. I.
Published: October 2024

Purpose. To analyze the corneal indices obtained during examination with the Corvis® ST device of myopic patients — candidates for laser refractive surgery with dry eye syndrome (DES), before and after its treatment.

Patients and methods. Study group I consisted of 88 patients with mild to moderate dry eye syndrome according to the classification of the International Seminar on Dry Eye Syndrome (TFOS DEWS II Definition and Classification Report), group II — 88 patients with no signs of corneal-conjunctival xerosis with complex myopic astigmatism at the age of 18 to 45 years (29.01 ± 7.68). The study of biomechanical parameters of the patients’ cornea was carried out using Corvis® ST (Oculus, Germany).

Results. During the initial examination, six out of ten biomechanical indicators (DAM, A1T, A1V, A2T, A1L, SP_A1) in patients of study group I were significantly different (p < 0.05) from the indicators of study group II, the rest (A2V, A2L, HC_time, PD) were comparable (p > 0.05). Complex indices CBI, BAD_D in patients with DES were also statistically significantly (p < 0.05) different from those of patients without signs of DES and did not change after treatment for DES (p > 0.05). During the initial examination of patients in group I, 37 patients (42 %) had TBI in the range of 0.5–0.9. Against the background   of conservative treatment of dry eye syndrome, the number of such patients decreased to 20 (22 %), and with a TBI level of up to 0.3 it increased to 30 (34 %).

Conclusion. The values of corneal biomechanical parameters determined during examination on Corvis® ST in patients with dry eye syndrome are different from those of patients without symptoms of corneal-conjunctival xerosis. Improving the condition of the ocular surface against the background of drug correction of dry eye syndrome and, as a result, improving the TBI index, provides a better selection of patients for laser refractive surgery and the choice of method for its implementation. The influence of asymptomatic dry eye syndrome in a significant number of patients on the value of corneal parameters studied on Corvis® ST determines the need for preventive diagnosis of dry eye disease in the general algorithm for examining all patients before refractive surgery.
Golden Rice: some considerations for Philippine pending legal decisions and expected local and global implications
Authors: Dubock Adrian
Published: October 2024

Golden Rice, developed since 2000, provides beta-carotene, a vitamin A source. In 2004, transgenesis introduced genes from a bacterium and maize into rice, making Golden Rice a GMO crop. No other method could create it. Since then, development has involved only sexual reproduction between rice plants. In 2023, nearly 900 million children suffered from vitamin A deficiency (VAD), which killed 2 million annually in the early 1990s. Rice, a staple for 50% of the world, especially in (Low-and -Middle-Income-Countries) LMICs, is mostly carbohydrate, with little micronutrient nutritional value. Golden Rice aims to improve public health by providing vitamin A at no greater cost than white rice to resource-poor communities. It is widely recognized as a humanitarian project. Greenpeace has long opposed GMO crops, using the issue for fundraising. Golden Rice disproves their claims, so they seek to undermine the project. Due to limited resources, Golden Rice has been introduced only in Bangladesh and the Philippines. Bangladesh's progress is stalled without valid reason, while the Philippines has adopted Golden Rice since 2021. However, Greenpeace filed a 2022 complaint claiming environmental risks, unsupported by science. Recent Philippine Court of Appeals decisions (April and August 2024) have halted Golden Rice adoption. The Department of Agriculture plans to appeal to the Supreme Court. This article discusses the ongoing significance of VAD and Golden Rice and emphasizes the need for the Philippines to maintain its global leadership in scientific innovation and public health through the Golden Rice initiative. It also proposes considerations for the Department of Agriculture's upcoming appeal.
Policy, Timing, and Impact: An Evidence-Informed Analysis of Iran's Response to the Pre-Vaccine Phase of the COVID-19 Pandemic
Authors: Bohloli Hamid , Nowdeh Zeinolabedin , Gerivani Hosein , Bohloli Amir
Published: October 2024

Introduction: This study comprehensively analyses the Iranian government's policy interventions in response to the COVID-19 pandemic during the pre-vaccine period, from the initial outbreak to the establishment of the Operational Centre for National Headquarters to Combat Corona (OCNHCC). This study emphasizes the pivotal role of policy timing and intensity. This demonstrates a discernable relationship between policy interventions and their consequences, as evidenced by the COVID-19 incidence (Outcome) and mortality rates (impact). Methods: This study employs a mixed-methods approach, combining qualitative content analysis of media policy news and quantitative data on COVID-19 incidence and deaths to evaluate Iran's time management interventions during the pre-vaccine phase of the pandemic. Using a quasi-experimental design, the study assesses the effectiveness of national COVID-19 policies by comparing various intervention periods. The analysis includes an extensive review of 71,237 news reports and a detailed examination of 316 policy actions, (numerical N1 to N209 clickable in Appendix 3), culminating in a comprehensive assessment of policy impacts on public health outcomes and policy efficacy. Results: The study highlights that Iran's response to COVID-19 was initially insufficient, leading to widespread transmission. However, implementing measures such as social distancing and localized restrictions resulted in notable reductions in infection rates. These gains were often reversed because of premature easing of restrictions or non-compliance. The study emphasizes the importance of evidence-informed approaches in understanding the outcome and impact of health policies. Conclusion: This research plays a crucial role in augmenting the understanding of the possible correlation between policy interventions and their subsequent consequences, using COVID-19 incidence and mortality rates as key indicators. The deductions derived from this research can augment our comprehension of the robust and frail aspects of the policy reaction, thereby empowering us to develop the guidelines to ameliorate forthcoming strategies to tackle pandemics.
Metadichol® induced expression of TLR family members in peripheral blood mononuclear cells
Authors: Raghavan P. R.
Published: October 2024

Introduction: Toll receptors are vital to the innate immune system. They recognize common microbial pathogen molecular patterns. The signaling pathways activated produce proinflammatory cytokines and type I interferons to start the immune response to infection. Inflammatory, autoimmune, and cancer diseases are connected to signaling abnormalities. Thus, toll receptor expression patterns and control mechanisms are essential for immune response research and treatment. Methods: Metadichol, a nanoemulsion of long-chain alcohol, was applied to peripheral blood mononuclear cells to evaluate the expression of all ten toll receptor family members (TLR1-10), MYD88, and downstream genes (IRAK4, TRAF3, TRAF6 and TRIF). Quantitative real-time PCR measured gene expression. Results: Toll receptors 1–10 responded as inverted U-shaped to Metadichol treatment, except Toll receptor 4. Metadichol affects TLR expression differently at low, moderate, and high dosages. Metadichol activated all 15 genes, including TLRs and downstream signalizing molecules. Importing 15 genes into Pathway Studio produced a gene expression network analysis. Gene set enrichment analysis (GSEA) used the proprietary Elsevier pathway collection. An enriched gene list with more gene interactions than expected for a random gene collection of similar size and distribution indicated a significant biological relationship between these genes. Conclusions: Metadichol expresses all the toll receptors, the MYD88 gene, and four other downfield genes. Since all immune cells express TLRs, this leads to a more robust solution for activating innate and adaptive immunity processes in humans.
Effect of Sorbic Acid on the Induction of Static Growth Inhibition in Mouse Mastocytoma P-815 Cells
Authors: Okada Yasuyo , Umemoto Yuko , Kimura Hitomi , Ichikawa Atsushi
Published: October 2024

Sorbic acid and its salts are commonly used as preservatives because of their ability to inhibit the growth of molds, yeasts, and fungi without causing bacterial death. Despite several investigations on sorbic acid-induced static growth inhibition of microorganisms, its implications in mammals remain unexplored. This study investigated the effect of sorbic acid on the growth of mouse mastocytoma P-815 cells (P-815 cells) in culture medium. Our findings indicated that sorbic acid induced static growth inhibition, with optimal results achieved when P-815 cells were exposed to 2.5 mM sorbic acid for at least 48 h, starting approximately 20 h after administration. Notably, the same static growth inhibition by sorbic acid was observed in human promyelocytic leukemia cells but not in mouse bone marrow mast cells. Sorbic acid-induced static growth inhibition increased the number of cells in the G1 and G2 phases and decreased the number of cells in the S phase, demonstrating that sorbic acid affects the cell cycle's G1/S and G2/M transitions. When P-815 cells synchronized at the G1 phase of the cell cycle were treated with sorbic acid, the onset of the cell population was noticeably delayed, whereas S-phase cells revealed almost no delay. The cellular amount of sorbic acid 10 h post-administration was higher in the acidic medium (pH 7.0) than in the medium (pH 7.4), which can be attributed to the inhibition of extracellular release of sorbic acid. Verapamil, a modulator of P-glycoprotein, and sodium azide, an inhibitor of ATP synthesis, inhibited intracellular accumulation of sorbic acid. This suggests that P-glycoprotein plays a role in regulating the intracellular levels of sorbic acid. Administration of sorbic acid led to an increase in intracellular calcium concentration ([Ca2+]i), which was suppressed by co-administration with verapamil. Sorbic acid administration decreased the [Ca2+]i levels, which were elevated by thapsigargin, an inhibitor of Ca2+-ATPase in the ER. This inhibitory effect was observed regardless of whether thapsigargin was administered before or after treatment. This is the first study to report that sorbic acid has a static growth inhibitory effect, causing stagnation in the G1 phase in animal cancer cells such as P-815 cells. The primary mechanism involves suppression of thapsigargin-induced intracellular Ca2+ release from Ca2+ stores in the ER.
The Unwelcome: An Experience Report of an Adult with Multiple Mental Disorders in Higher Education
Authors: Silva Giácomo
Published: October 2024

This article outlines the experience reported in the Pioneer Case of an adult law student with multiple mental disorders seeking their rights. The disorders and their respective interrelationships are explained to be considered disabilities according to the Brazilian Inclusion Law (LBI, BRAZIL, 2015). The objective of the work was to show the reality of a Law student who has Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), Generalized Anxiety Disorder (GAD), Depression, Bipolar Disorder, and Borderline Personality Disorder in a Brazilian public university that excludes and persecutes him for asserting his rights as a person with a disability. The guiding question is whether Brazilian higher education, especially public institutions, is concerned with the mental health of its students, in this case, its students with mental disorders. The conclusion emphasizes that it is essential to enforce laws and public policies related to the inclusion of People with Disabilities (PwD). The Pioneer Case proves that even with clear laws in Brazil, they are not being enforced.
Hybrid care model: Combining telemedicine and office visits for diabetes management in older adults with type 1 diabetes
Authors: Toschi Elena , Adam Atif , Frimpong Nana , Hurlbert Rebecca , Slyne Christine , Laffel Lori , Munshi Medha
Published: October 2024

Aims: To evaluate the use of hybrid (telehealth and in-person) care on visitation and glycaemia in older adults with type 1 diabetes (T1D). Methods: In this retrospective study, we examined clinical characteristics, number of visits (telehealth and in-person) and continuous glucose monitoring (CGM) metrics for older adults (≥65 years) with T1D from electronic health records during the pre-COVID-19 pandemic (March 1, 2019-March 1, 2020; in-person) and pandemic (September 1, 2020-August 31, 2021; hybrid) periods. Main outcomes were the number of visits and changes in glycaemic control (HbA1c), and in a sub-group of older adults using CGM, changes in CGM metrics between in-person and hybrid care. Results: We analysed data of 661 older adults with T1D (age 72±5 years). The hybrid care resulted in an increased number of annual diabetes visits (6.3 vs 4.2 visits/person) without change in glycaemic control (HbA1c 7.4% vs 7.2%) compared with in-person care alone. In the sub-group of 299 older adults with T1D using CGM, hybrid care compared with in-person care resulted in an improvement of time-in-range (70-180 mg/dL) (68% to 71%; p<0.001) without increasing hypoglycaemia (<70 mg/dL). Conclusion: Compared with in-person only visits, hybrid care maintained visit frequency and preserved glycaemic control measured as HbA1c. In a sub-group of older adults with T1D using CGM, time-in-range improved while time in hypoglycaemia did not change. These data suggest that a hybrid care model is efficacious in maintaining visitation and glycaemic control, and, as demonstrated in a sub-group of older adults with T1D using CGM, safe with respect to time in hypoglycaemia.
Development of eye tracking tools
Authors: Goryachkin B.S. , Yakubov A.R. , Anikin F.A.
Published: October 2024

Problem statement. Nowadays, with the development of technology, there are more and more ways of human-machine interaction, including non-mechanical ones. One of them is the “machine-eye” system, when a person receives information from a source through the organ of vision with its subsequent analysis. In the same way, an “eye-machine” system can be implemented when the data source is the human visual organ itself, and the analysis is performed directly by the machine itself. This article discusses the creation of a data collection system for the user's view of the computer screen to create a heat map. Target. To develop a system for collecting data about a person's gaze using a webcam and a tool for working with the obtained data to create a heat map in order to visualize the user's areas of interest. Result. Three scripts were developed in Python version 3.10 with the connection of the libraries "MediaPipe", "OpenCV" and "Matplotlib". The first script calibration.py calibrates the entire system for correct calculations of the user's "vision coordinates"; the second script coords.py collects information about the position of the pupils during operation; the third heatmap script.py creates a file of a visual representation of a person's gaze for the entire period of working with the tool. Practical significance. Using the developed system allows you to identify areas of user interest for subsequent analysis of the collected data, which can further help in designing the structure of the user interface.
Development of instrumental and methodological support for assessing the technical condition of transport system nodes using neural networks, fuzzy and stochastic modeling algorithms
Authors: Druzhinina O.V. , Korepanov E.R. , Petrov A.A. , Makarenkova I.V. , Maksimova V.V.
Published: October 2024

The problems related to the development of intelligent instrumental and methodological support for diagnosing the condition of technical transport systems are important and relevant. Among such problems, it is necessary to highlight the problems of neural network, fuzzy and stochastic modeling, the solving of which is aimed at identifying malfunctions in conditions of incomplete information and data uncertainty. Methods and algorithms for solving these tasks should focus on the possible use of the domestic hardware and software environment, both in the learning process and in the process of application for data processing. The purpose of the article is to develop algorithms for neural network, fuzzy and stochastic modeling to identify malfunctions of elements and nodes of transport systems, as well as the implementation of modeling algorithms to solve specific problems of diagnosing the technical condition of axle boxes of railway wagons. The results are aimed at improving the efficiency of assessing the technical state of the axle boxes of railway wagons using data mining. The main modules of the software package have been developed to assess the technical condition of transport system nodes using stochastic and fuzzy algorithms for generating the initial data of a neural network model. The results of computer experiments aimed at stochastic modeling of temperature characteristics data and subsequent generation of initial data for solving classification problems in diagnosing the condition of axle boxes are presented. The implementation of a data generation model based on fuzzy modeling made it possible to create synthetic datasets for subsequent processing by neural network algorithms. The choice of neural network architecture for technical troubleshooting of axle box nodes has been made. The values of hyperparameters of the neural network are determined. The structure of the software package for assessing the technical condition of axle boxes is described. The modules of the software package are designed taking into account the adaptation and use of the capabilities of the domestic hardware and software platform Elbrus 801-RS. The results can be used in technical diagnostics, taking into account the incompleteness of information and the involvement of expert knowledge. It is possible to use the obtained results to solve practical diagnostic problems with a pre-trained specialized neural network, as well as to develop and improve intelligent monitoring systems and digital twin systems in transport.
Application of machine learning methods for analysis of the mental state of a person
Authors: Kovalkova L.A. , Kochkarov A.A. , Shchetinin E.Yu.
Published: October 2024

This text presents a comprehensive analysis of the application of both classical and modern methods for analyzing psychometric data to assess individuals' mental states. Regression and classification are the main classes of machine learning methods used in this study. The task involves predicting a dependent variable representing levels of depression, anxiety, or stress on a scale of 0 to 4. Various machine learning models, including random forest, linear regression, gradient boosting, and extreme gradient boosting, are employed. The original dataset, which includes demographic data and features of the dispositional personality model, is divided into training and testing sets. Performance evaluation of regression algorithms is conducted using metrics such as mean squared error (MSE), mean absolute error (MAE), and coefficient of determination (R2). Results underscore the inadequacy of regression models for this specific task, prompting a transition to classification methods. Subsequently, classification methods like extreme gradient boosting are applied, utilizing techniques such as Synthetic Minority Over-sampling Technique (SMOTE) for class balancing. Metrics like recall, precision, and F1-score are used for evaluation. The study highlights the superiority of classification methods, particularly the extreme gradient boosting algorithm, in predicting mental health status. Designing independent variables demonstrates that significant reduction in the number of parameters minimally diminishes prediction accuracy. Verification of the extreme gradient boosting algorithm on a separate dataset confirms the necessity for data integrity and homogeneity concerning the target group in light of latent interdependencies among variables. In conclusion, the study high-lights the potential of machine learning methods in assessing mental health and underscores the prospects of incorporating psychometric data in conjunction with physiological data for more accurate prediction of mental health status.
Сyberphysical representation of robots of the neuro-network collective of automata on a chip
Authors: Ruchkin V.N. , Fulin V.A. , Kostrov B.V. , Grigorenko D.V. , Ruchkina E.V.
Published: October 2024

The article examines modern innovative technologies, which are a continuation, generalization of previously created technologies, deepening and expanding existing concepts, their application in new areas and directions of development of society. The possibilities of a significant leap forward of the above technologies are shown due to the effective use and successful transition within the framework of continuity and compatibility of hardware and software security for citizens and tourists to 5G and 6G technologies, unmanned transport management and virtual reality addition, etc. Based on analysis, abstract synthesis, minimization and structural synthesis, a conceptual model of joint design of hardware and software of the Mealy and Moore automata is proposed due to the classification of control options for a team of algorithms and a team of neural network automata and robots based on a tensor computer on a K1879VM 8YA chip and a tensor module NM Card. Based on the importance of modern mobile CPS and the areas of application of various sectors of industry, economics and social services, the requirements, challenges and feasible implementations of architectures for the joint design of a neural network collective of automata in the form of a robot on a chip using abstract Mealy and Moore automata and a collective of automata are formed. The interchangeability and equivalence of Mealy and Moore automata ensure the invariance of options and the ability to check the performance of one relative to the other. By creating one closest model, you receive confirmation of functionality through another. This versatility of using both models proves the unambiguity and adequacy of the decisions made. Analysis, abstract synthesis, minimization and structural synthesis are used to formalize a conceptual model of hardware-software co-design (Co-Design) of robots based on Mealy and Moore automata. The cyber physical representation of the theoretical - multiple approach and analysis of the equivalence of information processing routines from the point of view of the concept of joint design of hardware and software allows for a unified and holistic study of clustering processes, parallel organization at the level of microarchitecture and microarchitecture in order to increase operational efficiency, versatility, and scalability and optimization of energy consumption. The simulation results are presented as a description of the control of an expert system for the joint selection of hardware and software of a robot based on MYAMPSK or MCMPSoS through the nuclear organization of the CPS microarchitecture. Depending on the initial set of algorithms based on the tensor computer on the K1879VM 8Ya chip or the NM Card tensor module, it is proposed to implement the above areas of end-to-end technologies as tools for processing structured and unstructured data.
Architectures of modern intelligent systems: synergy of cybernetics and symbolic artificial intelligence, tools and technologies for the developmentof intelligent systems
Authors: Rybina G.V.
Published: October 2024

The purpose of this work is to analyze the results of the evolutionary development of cybernetics and artificial intelligence (AI) based on the consideration of the features of the most popular types of intelligent systems architectures, which are the final, strategically important software and hardware product of the synergy of methods and tools of cybernetics with methods and technologies of symbolic AI based on knowledge (with an emphasis on Russian developments and many years of experience the author in this field). The problem is analyzed based on several main aspects – historical, conceptual-functional, architectural, integrational and instrumental-technological. L.T. Kuzin's great merit is noted as one of the Russian pioneers of cybernetics, who for the first time proposed architecture, models and methods for building early artificial intelligence systems (AIS). The evolution of the term "AIS" is indicated, while maintaining the content towards the more common term "intelligent systems" From the point of view of the integration aspect, special attention is paid to the system analysis of the typology of intelligent system architectures and the factors due to which the expansion of architecture and variation in the composition and structure of individual components in integrated intelligent systems are achieved. Some problems related to the lack of semantic unification of the terms and concepts used in describing the processes of integration and hybridization are considered. Among the most popular architectures, the great role of knowledge-based systems as the core of intelligent systems is noted, and integrated expert systems (IES) with extensible functionality, scalable architecture and high synergetic ability are highlighted. A significant place in the work is occupied by the analysis of the typology of dynamic intelligent systems (DIS), in the architectures of which the highest level of synergy of theoretical cybernetics, general theory of systems and AI has been achieved from the standpoint of formal conceptual and integration aspects. The main architectures of the DIS are described. An example of the synergy of a temporal solver and a subsystem of simulation modeling in dynamic IES, developed on the basis of the author's problem-oriented methodology for building IES, is given. The analysis of foreign and Russian tools and technologies for automating the development of intelligent systems is completing its work. The analysis is carried out in the context of the evolutionary development of tools and general trends in the field of software engineering. A brief description of the intelligent software environment of the AT-TECHNOLOGY workbench is given.
Vibration sensor as the basis of an equipment monitoring system
Authors: Yanov E.S. , Antsev A.V. , Vorotilin M.S. , Minakov E.I. , Prokopchina S.V.
Published: October 2024

Currently, the high complexity and instability of engineering production processes leads to the need to make management decisions under conditions of uncertainty, which significantly affects the efficiency of production as a whole. Reducing uncertainty in operational production planning of machine-building industries is possible by analyzing data on the flow of technological processes collected using equipment monitoring systems, i.e. measuring and information systems. It is proposed to use vibration sensors as the main source of information to obtain reliable data on the operation of equipment. General issues regarding vibration sensors are considered and a variant of their classification according to various features is presented, such as sensitivity, operating principle, method of obtaining information, signal conversion mechanism, signal measurement method. Several versions of vibration sensors have been developed, designed to collect information about the level of vibration during processing and included in the diagnostic module for monitoring equipment operation. The first version of the printed circuit board is based on a microcontroller based on ATMega328P, designed to read MEMS accelerometer data and transmit the collected information using a wireless communication module to the operator panel for display in real time and transmission for storage and processing to the server. To charge the battery, a charge controller based on the TP4056 chip and a low-dropout linear stabilizer TPS730 are used. In the second option, the MPU9250 inertial measurement module is used, and information processing and data transmission is carried out using a specialized module NINA-B306. A printed circuit board of any of the presented options is installed in a vibration control sensor mounted on the back side of a three-jaw chuck inside the machine body. This placement of the diagnostic module eliminates the possibility of its unintentional damage while ensuring the required quality and reliability of signal transmission. The vibration sensor, fixed to the cartridge using quick-release strips, consists of a board located in the housing. Above the board there is an insert that protects the board from the battery. The housing is closed from above with a lid using screw washers through a gasket to ensure the housing is sealed. The clamping screw is used to secure the board in the case. The vibration sensor is turned on using a button. The proposed vibration sensor can be used as the basis of an measuring and information systems, because information about the level of vibration of a technological system, recorded by sensors, like a human cardiogram, provides comprehensive information about its condition. A diagnostic module built on the basis of a vibration sensor will increase the efficiency and “transparency” of machining processes and collect statistical data that allows assessing the efficiency of equipment operation.
Text Book of Medicinal Chemistry-I for the Students of B.Pharm 4th Semester
Authors: Kemisetti Dr. Durga Prasad
Published: October 2024

Scope

This subject is designed to impart fundamental knowledge on the structure, chemistry and therapeutic value of drugs.
The subject emphasizes on structure activity relationships of drugs, importance of physico-chemical properties and metabolism of drugs.
The syllabus also emphasizes on chemical synthesis of important drugs under each class.

Outcomes- Upon completion of the course students shall be able:

To understand the chemistry of drugs with respect to their pharmacological activity.
To understand the drug metabolic pathways, adverse effects and therapeutic value of drugs.
To know the Structure Activity Relationship (SAR) of different class of drugs.
To write the chemical synthesis of drugs.
Supportive Periodontal Therapy
Authors: Kedia Dr. Sameer , Zanwar Dr. Kushal , Wankhade Dr. Shruti , Wasu Dr. Shilpa
Published: October 2024

Chronic periodontal disease constitutes a pervasive pathology, afflicting a substantial segment of the population, particularly within the adult demographic. It remains one of the predominant etiologies of tooth loss, precipitating a cascade of functional impairments, aesthetic deficits, and profound psychological distress. The management of chronic periodontitis presents intricate challenges for clinicians, demanding a multifaceted approach to treatment and maintenance.

In contemporary periodontal practice, Supportive Periodontal Therapy (SPT) is indispensable for the preservation of periodontal health. This volume offers an in-depth exploration of SPT, integrating both foundational principles and the latest advancements. It is designed to furnish dental professionals with the critical knowledge and methodologies necessary for the effective long-term management of periodontal disease. Moreover, this text examines cutting-edge innovations in diagnostics and therapeutic modalities—such as laser technology and antimicrobial agents—that have revolutionized periodontal care, offering enhanced strategies for the prevention of disease recurrence.
Artificial intelligence in dental imaging: A new era of precision and predictive diagnosis
Authors: Kale Preeti , Seth Namdev , Verma Saumya , Varshney Dushyant Kumar , Sharma Srishti
Published: October 2024

Artificial Intelligence (AI) is revolutionizing the field of dental imaging by enhancing precision and enabling predictive diagnostic capabilities. With the integration of AI technologies, dental practitioners can now analyse complex imaging data with greater accuracy, identifying early signs of oral diseases, such as caries, periodontitis, and oral cancers. AI algorithms can efficiently process radiographic, cone-beam computed tomography (CBCT), and intraoral scan data, reducing human error and improving diagnostic outcomes. Moreover, AI’s predictive modelling can help forecast disease progression and guide personalized treatment plans. This new era of AI-driven dental imaging not only optimizes patient care but also streamlines clinical workflows, offering a transformative approach to diagnostics and treatment planning in modern dentistry.
Non-incised papillae surgical approach (NIPSA): A new technique for the treatment of deep intrabony defect: A case report
Authors: Patil Sharashchandra M , Kalluraya B Swasthik , Chambole Anjali , Tarannum Uzma , Naaz Farah
Published: October 2024

: Periodontal regenerative therapy aims at the recovery of lost periodontal tissue due to disease. The management of intrabony defects in periodontal disease remains a significant clinical challenge, often requiring intricate surgical interventions. This study presents the Non-Incised Papilla Surgical Approach (NIPSA) as an innovative technique for effectively treating intrabony defects while preserving soft tissue architecture.

: The aim of this case report on the Non-Incised Papillae Surgical Approach (NIPSA) technique is to effectively treat intrabony defects in periodontal therapy while minimizing surgical trauma and preserving soft and hard tissue architecture. NIPSA aims to achieve periodontal regeneration and clinical attachment gain through a minimally invasive approach, reducing patient discomfort and promoting predictable long-term outcomes. This case highlights the efficacy and patient satisfaction associated with the NIPSA technique in managing deep intrabony defects using bovine bone grafts.

The outcome of this case resulted in post-operative healing was uneventful, with minimal discomfort reported by the patient. At the six-month follow-up, clinical examination revealed a significant clinical attachment gain, reduction in probing depth, and mobility, with no bleeding on probing. Radiographic evaluation demonstrated evidence of bone fill within the defect, indicating successful periodontal regeneration.

: This case report offers a viable alternative for managing intrabony defects, providing effective treatment outcomes with minimal surgical trauma and enhanced patient satisfaction. Further research and long-term follow-up studies are needed to validate the efficacy and durability of this approach in periodontal therapy.
Plunging ranula in a pediatric patient: A rare case report
Authors: Nagaveni N B Nagaveni N B , Umashankar K V  , Khan Mohammed Muzammil , Prasad Satya
Published: October 2024

‘Plunging Ranula’ also referred as ‘Diving Ranula’ or ‘Cervical Ranula’ or ‘Penetrating Ranula is rarely seen in children. They most commonly occur in second and third decade of life and represents a deep type of ranula that is seen in the floor of the mouth and extends to involve the submandibular and submental space. The present article showcases occurrence of a huge plunging ranula in a 13-year-old male Indian patient and its treatment aspect. As many other intraoral swellings or cysts seen in the floor of the mouth mimicking different pathology knowledge about its occurrence, diagnosis and detailed treatment is highly essential among all pediatric professionals to escape from the misdiagnosis.
Epistemic Injustice or Epistemic Oppression?
Authors: Catala Amandine
Published: October 2024

The concepts of epistemic injustice and epistemic oppression both aim to track obstacles to epistemic agencyーi.e., forms of epistemic exclusionーthat are undue and persistent. Indeed, the two terms are often used interchangeably. In this paper, I begin by addressing the question of whether the concepts of epistemic injustice and of epistemic oppression are in fact synonymous, and how we might articulate the relation between the two. I argue that while they partly overlap, the two concepts are not synonymous, and that one fruitful way to characterize their relation is by drawing on the distinction between systematic and incidental epistemic injustice. I then turn to the question of what might be gained or lost by focusing on one concept rather than the other. I argue that the concept of epistemic injustice, specifically that of incidental epistemic injustice, allows us to track certain types of undue and persistent obstacles to epistemic agency that the concept of epistemic oppression does not, but that should nonetheless be of interest to theorists of epistemic oppression. I close with some suggestions for further avenues to explore in order to gain a richer and more precise understanding of the various forms that problematic epistemic exclusion can take and how we might characterize them within our philosophical taxonomies.
Adoção e difusão de tecnologias digitais na agricultura: uma revisão bibliométrica
Authors: Bruno Custódio de Morais Thacyo , Leite Mesquita Daniel , Guimarães Cozadi Elisa , Henrique Montagnana Vicente Leme Paulo
Published: October 2024

A agricultura digital impulsiona a produção global de alimentos e melhora a competitividade e sustentabilidade das atividades agrícolas, afetando desde a pré-produção até o consumo. Este artigo o objetivo de analisar a produção científica sobre adoção e difusão de tecnologias digitais na agricultura utilizando métodos bibliométricos. O trabalho foi realizado utilizando dados provenientes da base indexadora Scopus e os dados foram analisados com o software Microsoft Excel® e o pacote Bibliometrix, do software R (Aria e Cuccurullo, 2017). Foram identificados 289 artigos dentro da amostra. Os resultados identificaram autores como Marcelo Carrer, Marius Michels e Oliver Musshoff como cientistas de destaque, bem como os periódicos Agriculture, Sustainability e Precision Agriculture como os maiores periódicos da amostra. Foi identificado que China, Índia, Estados Unidos, Reino Unido e Alemanha são os maiores expoentes do tema mundialmente. Além disso, foi construído um quadro que compila sugestões de pesquisas futuras de autores que publicaram no ano de 2023 e tinham, ao menos, duas citações até a data de realização da pesquisa.
Institutionality of discourse as a methodological problem
Authors:   Belgorod State National Research University, Amatov Alexander M. , Kurash Sergey B. ,   I. P. Shamyakin Mozyr State Pedagogical University, Danilova Elena S. ,   Belgorod State National Research University
Published: October 2024

Institutionality of discourse, as one of the key concepts of modern discourse analysis and an integral property of a number of discourse types, often poses a research problem of practical and/or methodological character. The dynamics of discourse and its social nature do not always fit into the framework of institutionality, extending it or even transgressing it. Apart from general methodological problems, the researcher often encounters cases of deliberate violation of written and unwritten rules of communication. Such examples, however, not only represent an issue, but also grant the possibility of looking at the problem of institutionality from a different angle. The article considers the problems of the methodology of institutional discourse associated, on the one hand, with the uncertainty (or an insufficiently clear definition) of a number of concepts and types of discourse, and on the other hand, with shifts of status and roles of communicants. It might seem that such shifts make the principle of institutionality rather volatile. Our study shows, however, that functionally all the institutional properties of discourse stand and even serve as a tool for manipulation. We consider examples of such violations that present a methodological issue and hamper practical discourse research. It is shown that a formal classification of discourse types via corresponding social institutions, despite its simplicity, tends to produce a number of issues including the overlapping of several types of discourse in one discursive act or difficulties in attributing it to any particular type due to changes in the communicative tactics of participants.
Numeric Domain Names and National Domains: Trends in Internet Onomastics
Authors:   HSE University, Dubinina Maria N.
Published: October 2024

The research paper provides an analysis of the Internet domain naming system, in particular, a study on numeric domain names and national domains. In the Internet space, various signs and symbols from different semiotic systems can be used. One interesting finding is that the use of hieroglyphic, Cyrillic and numeric domain names in the Internet space is becoming a distinct trend. Hieroglyphic and numeric domain names, in particular, can play an important role in addressing the issue of Internet onomastics. From this perspective, Chinese domain names have provided a natural bridge point for Internet technology, Chinese traditional culture, modern and traditional industries. The research material consists of domain names of Internet websites. The aim of our study is to describe the development strategy of hieroglyphic and numeric domain names from a linguistic point of view. The relevance of the study is determined by the limited exploration of onomastics in virtual realities. Domain names serve as identifiers and means of communication. It is essential to keep in mind that the domain naming is a dynamic phenomenon, and trends in domain naming can change over time. Additionally, the value of a domain name is often subjective and depends on factors like brandability, memorability and market demand. The research identifies trends in Internet onomastics of domain names, that can be exemplified by the use of hieroglyphs and numerical codes in Chinese internet space. Special attention is given to domains where the creative function of language is evident in their creation.
ASAWEC: towards a corpus of Arab scholars’ academic written English
Authors:   Prince Sattam bin Abdulaziz University, Sanosi Abdulaziz B , Mohammed Abuelgasim Sabah Elsaid ,   Prince Sattam bin Abdulaziz University
Published: October 2024

Linguistic corpora have been used in a wide range in recent years. Different types of linguistics analyses in both spoken and written discourses are being conducted using the corpus linguistics approach. Among these, academic writing has received considerable attention. Corpus linguistics has provided insights into the academic writing of both native and non-native English language learners and writers in general. Nevertheless, relatively few studies have investigated this topic in the Arab EFL setting. Consequently, there is a relative paucity in corpora of Academic written English by Arab speakers. To address this gap, we compiled the Arab Scholars’ Academic Written English Corpus (ASAWEC) which is a specialized corpus of Arab scholars’ academic written English. We collected the corpus texts according to specific criteria, and then we normalized and cleaned the data. The texts were then tokenized and tagged and the corpus underwent initial tests which yields insightful findings on Arab scholars’ academic written English such as the low lexical diversity and the utilization of various discourse techniques. The present paper introduces the corpus, provides details on its compilation, presents initial results and statistics, and discusses potential limitations and future perspectives for updating the corpus. It is envisaged that this project will encourage the use of the ASAWEC and help in launching similar initiatives to advance research in Arab corpus linguistics.
Adopting of Agile methods in Software Development Organizations: Systematic Mapping
Authors: Abdalhamid Samia , Mishra Alok
Published: October 2024

Adoption of agile methods in the software development organization is considered as a powerful solution to deal with the quickly changing and regularly developing business environment and fully-educated customers with constantly rising expectation, such as shorter time periods and an extraordinary level of response and service. This study investigates the adoption of agile approaches in software development organizations by using systematic mapping. Six research questions are identified, and to answer these questions a number of research papers have been reviewed in electronic databases. Finally, 25 research papers are examined and answers to all research questions are provided.
Direct Off-Line Two-Switch Forward Converter with a Boost PFC Converter for Powering of DC Electromagnet Systems
Authors: Dimitrov Borislav
Published: October 2024

In this paper a switch mode power supply design for electromagnet systems is presented. It is based on a boost converter with power factor correction and a two-switch forward converter. The powered electromagnetic systems in this research are part of various electrical contact apparatus such as electromagnetic contactors, relays, circuit breakers etc. The proposed schematic works in a wide input voltage range which solve the problem with the voltage sag occurring in the energy distribution system. The proposed solution ensures stable operation of the contact equipment and the relay circuits in their industrial application.
Improvement on LiFePO4 Cell Balancing Algorithm
Authors: Valchev Vencislav C. , Yankov Plamen V. , Stefanov Dimo D.
Published: October 2024

The paper presents improvement on operation time of cell balancing algorithm compared to conventional multiple cell LiFePO4 charge methodology. A flowchart is synthesised to explain the main steps of the software design, which afterwards is implemented in a microcontroller. Experimental results are provided to clarify the transition between charge and balance process. Graphical data for a voltage equalization of eight cells is presented to verify the proposed improvement.
Selection and Prioritization of Adaptivity Criteria in Intelligent and Adaptive Hypermedia e-Learning Systems
Authors: Marković Maja Gligora , Kadoić Nikola , Kovačić Božidar
Published: October 2024

One of the main characteristics of Intelligent and Adaptive Hypermedia E-Learning Systems (IAHe-LS) are adaptivity criteria. Selecting adaptivity criteria is one of the main steps in developing a prototype of a System for Dynamic Generating of Learning Objects (SDGLO) that will support the individual personalised learning process. The selection of those criteria has a high impact on the quality of usage of those systems. This paper presents research into prioritisation of adaptivity criteria from the perspective of their usage and the selection of adaptivity criteria for creating the SDGLO prototype. The methods that were used in the research are: descriptive statistics, Cronbach Alpha, one-way ANOVA, and Analytic Hierarchy Process (AHP) with final qualitative analysis. In conclusion, for the development of a prototype of SDGLO, the adaptivity criteria that are selected are learning style, cognitive style and learning goals.
Heat-Technical Comparison of Wall Construction Systems Belonging to MMC
Authors: Tažiková Alena , Talian Juraj
Published: October 2024

The article deals with comparison of three wall systems. One of the structural systems is conventional and the two others systems are among the Modern Methods of Construction (MMC). For comparison the endpoints were: thermal balance and condensation of water vapor. The thickness of the wall structures and the individual layers are modelled to meet the recommended amount of heat transfer coefficient Ur1. When this requirement is met, the condensation of water vapor in the wall structures is further analyzed. The aim is to determine whether, during the cycle of a year the balance of water vapor is negative and where is the location of condensation in the wall of the MMC wall construction used in Slovakia. The result of the investigation will be a comparison of selected structures and evaluating the most advantageous wall structure of selected construction systems.