bluuebunny/crossref_metadata_2025 huggingface dataset:
Dry Eye Syndrome in the Practice of a Cataract Surgeon: A Clinical Case
Authors: Maychuk N. V. , Petrova M. G. , Yarkin D. A. , Sarhadov N. Sh.
Published: October 2024

Relevance. Dry eye syndrome is an important medical and social problem due to its high prevalence and impact on visual functions in human daily life. In cataract surgery, the result of the operation and the patient’s satisfaction directly depends on the preoperative examination, in which, as a rule, the indicators of tear production and the condition of the tear film are most often not taken into account. In this regard, the calculation of the intraocular lens may be incorrect.

Purpose. To evaluate the effectiveness of an integrated approach in preparing a patient for cataract surgery with the implantation of a “premium” lens and full recovery in the postoperative period.

Materials and methods. A patient applied to YourMed and underwent a standard examination for a refractive patient, including a comprehensive assessment of the condition of the ocular surface. Based on the results of the identified changes, complex therapy was proposed and EDOF IOL with an elongated wavefront was performed. When conducting a study of the condition of the ocular surface using a slit lamp with a module for diagnosing dry eye syndrome (MediWorks, China), signs of an evaporative form of mild (right eye) and moderate (left eye) degree were revealed: the average tear film rupture time was 9.68 (OD) and 2.83 (OS) seconds, the height of the lacrimal meniscus is 0.22 mm (OD) and 0.17 mm (OS), the thickness of the lipid layer is grade 3 (OD) and grade 2 (OS), the percentage of non-functioning meibomian glands is 35 % (OD) and 44 % (OS). In this regard, a comprehensive treatment of SSG has been prescribed (eyelid self-massage, instillation of drops). Two weeks after the therapy start and against its background, the patient again underwent a repeated examination of the condition of the ocular surface, in which positive dynamics was noted. A sequential uncomplicated surgery was performed to replace the lens with an intraocular IOL with an elongated wavefront, first to the left, and after 1 week to the right eye. The patient does not notice any discomfort (dry eyes, watery eyes) that were present before the start of therapy before surgery.

Conclusion. Diagnosis of dry eye syndrome, differentiation of the form of this pathology and mandatory complex therapy before lens replacement surgery plays an important role in cataract surgery, which allows you to obtain stable indicators of visual functions in a shorter period after surgery.
The 2024 European Universities Games: Their Success and Impact on the University of Miskolc
Authors: Rakaczki Zoltán
Published: October 2024

The University of Miskolc implemented one of the most significant and complex projects in its history by hosting the 2024 European Universities Games. In the research, which is partly descriptive and partly empirical, I examine the success and impact of the event from the perspective of the University of Miskolc, utilizing management theory and sports science approaches. To provide a better understanding of the research question, I introduce the process of organizing the event. The changes in the legislative environment and organizational model of the hosted international sports events in Hungary have significantly affected the event's project organization and, consequently, its execution. I will also look at another factor that influenced the large-scale project, the transformation of the University of Miskolc into a private university, similar to the co-organizer University of Debrecen. I participated in all phases of the organization of the event, I use primary data during the research.
A multicentric, double-blind, randomized, placebo-controlled clinical study to evaluate the novel combination of Taurine and Ginseng in improving energy parameters in healthy male subjects
Authors: Chhaya Gaurav , Sidhu Gursaran , Iyer Sunil , Singal Rajat , Satia Milan , Ahsan Muneeb , Gautam Ashutosh , Kaur Jaspreet , Mehndiratta Chetan
Published: October 2024

Objective: To evaluate the efficacy and safety of the multivitamin tablet “Health OK” (phytochemical formulation of nutrients and super-nutrients like Taurine and Ginseng Extract) in healthy male subjects. Material and methods: This was a multicentric, double-blind, randomized, placebo-controlled clinical study of Health OK Tablet (Multivitamin, Multimineral, Amino Acids with Taurine & Ginseng Extract) (test product:control= 2:1). Efficacy parameter evaluation was carried out at randomization, and follow-ups (2, 4, 8 and 12th weeks). Primary endpoint was to assess general well-being. Secondary endpoints were mean changes in laboratory parameters, immune/inflammatory response, oxidative stress markers, energy and fatigue, mental alertness, and memory. Results: 56.67% of the 60 test subjects showed clinical improvement in general well-being compared to 30% in control. The test group showed notable improvement in the Energy and Fatigue scores by day 14, than control group. Similar differences between the two groups were also observed in mental alertness and memory scores. In terms of the immune/inflammatory response, the test group (2.58 pg/ml) showed a major reduction in IFN-γ from baseline to the end of the study (EOS) than the control group (1.5 pg/ml). Significant reductions were seen in levels of malondialdehyde (p=0.0001), superoxide dismutase (p=0.0261), and glutathione (p=0.0058) in the test group than control. None of the subjects were withdrawn from the study owing to adverse events. Conclusion: Our results showed that the test product was effective in improving the general well-being, energy, memory and mental alertness parameters, immune and inflammatory responses and oxidative stress markers compared to placebo in healthy male subjects, with improvement in energy scores evident within 14 days.
Governing COVID-19: The Complex Relationship between Government Type and Police Enforcement Intensity: A Scoping Review
Authors: Bohloli Hamid , Rabbanikhah Fahimeh , Shokri Azad
Published: October 2024

Introduction: The COVID-19 pandemic is one of the most significant challenges to global health and economic and social aspects. The COVID-19 pandemic posed unprecedented and unforeseen challenges to public health systems in the early 21st century and created a set of challenges for police departments worldwide. Countries with varied political approaches utilized the police in diverse ways to control the pandemic. Methods: We conducted a scoping review to map the existing literature to respound to this question that “how does government type influenced the deployment of police during Covid-19 pandemic”? We searched electronic databases such as PubMed and Scopus. We included studies that were conducted in independent countries with different types of governance indicated by democracy score in Economist Intelligence Unit and published data on their police deployment in controlling COVID-19. We identified papers published 2020-2022, from which we selected 24 publications about 21 countries that met our inclusion criteria. We used a four-zone model of Governance Policing Types to plot the countries based on their government type and the extent of police deployment. Results: Based on this model we present and synthesise results in accordance with the type of governance and the police deployment in controlling COVID-19. This model demonstrates a discernible relationship between government type and the degree of police involvement in managing epidemiological crises. Research findings suggest that in pandemic emergencies, the type of governance and effective response of the police ensure public safety and individual rights. We found a complex relationship among government type, police enforcement, and COVID-19 control. Our review identifies possible ideological and security-related biases impacting the representation of COVID-19 police responses in the analyzed studies. Conclusion: Quality of governance and police involvement are essential in managing pandemics. Democratic countries generally have better decision-making, and have higher resilience. Authoritarian countries were able to make decisions more quickly. Countries that combined both quality and speed of decision-making achieved outstanding results. A balanced approach in maintaining public health and individual rights is needed. Community-oriented policing could be a solution. More research is needed to understand the long-term effects of the police performance during the COVID-19 era.
Hodgkin Lymphoma: Diagnostic and Therapeutic Approach
Authors: Roberto Ovilla , Antonio De , Eleazar Harnández , Fernando Pérez , Nishalle Ramírez , Martha Alvarado
Published: October 2024

Hodgkin Lymphoma is a malignant neoplasm derived from B cells, it corresponds to 10% of hematological neoplasms and has the best prognosis among lymphoid malignancies. About 80-90% of Hodgkin Lymphoma can be cured with the first line of treatment. An inflammatory microenvironment with at least 1% neoplastic cells (Reed-Sternberg cells and their variants) is observed in the architecture of the node. Its incidence is estimated at 1 case/100,000/inhabitants per year and a mortality of 0.7 per individuals/100,000 inhabitants per year. It characteristically has a bimodal presentation and has a close relationship with EBV as the etiological agent in 45% of cases. Historically, the AVBD regimen has been considered the standard treatment regimen; however, management with anti-CD30 in the first line may be a therapeutic option. In our review we describe the usefulness of adequate stratification, use of interim-PET to avoid overtreating or undertreating patients, as well as PET-CT at the end of treatment to omit the need for radiotherapy and thereby reduce the risk of chronic toxicities. It is of utmost importance that in the evaluation at the end of treatment in cases of treatment with immunotherapy, consider pseudoprogression based on the LYRYC criteria with the need for PET-Ct 3 months later to consider or rule out pseudoprogression. Historically, the ABVD or BEACOPP Scheme have been the treatment standards, however with immunotherapy with Brentuximab and checkpoint inhibitors such as nivolumab or pembrolizumab either with first-line regimens such as BV + AVD or nivolumab +AVD or pembrolizumab or in Rescue schemes have revolutionized the natural history of Hodgkin's disease, improving disease-free and overall survival, reducing the risk of chronic toxicity presented with traditional schemes.
Water quality in the karstic coastal municipality of Hunucmá, Yucatán, México. Risks to human health
Authors: Sánchez Daniel , Rodríguez Dr. Ángel , Castilla Jazmín , Chuc Saúl , Martínez Guillermo
Published: October 2024

A study was conducted to characterize water quality during the dry and rainy periods in the municipality of Hunucmá, Yucatán, México, by determining the concentrations of toxic metals, nitrates, and coliforms, in samples taken from twelve household wells and three drinking water distribution wells. The state of Yucatán has a karst aquifer of high vulnerability to groundwater contamination. The water samples were analyzed by Cold Vapor Atomic Absorption Spectroscopy to quantify Hg, and Inductively Coupled Plasma Mass Spectrometry to quantify Cr, Cu, Zn, As, Cd, and Pb. The highest detected metal concentrations were 0.016 ppm of Zn, 0.0014 ppm of As, 0.0005 ppm of Cd, 0.0011 ppm of Pb, and 0.0023 ppm of Hg. Although national standard values are not exceeded, there are risks to human health due to bioaccumulation from chronic exposure through contaminated water and food. In addition, nitrate levels ranging from 4 to 8.5 mg/L in the dry period and from 3.2 to 7.8 mg/L in the rainy period were found. These concentrations are close to the maximum allowed limit. The average for fecal coliform count was 900 MPN/100 ml, represent high risks to human health.
Unraveling Anxiety and Anger in Young Individuals: Prioritizing Brain Health in Early Life Stages.
Authors: Konstantopoulou Georgia
Published: October 2024

Background: This study investigates the influence of anxiety and anger on the brain health of primary school children and how these emotions manifest in daily life. While anxiety and anger are normal emotional responses, chronic experiences can impact both physical and psychological well-being. Method: The study involved 96 primary school students from Patras, aged between eight and twelve, with younger grades excluded due to comprehension difficulties. Participants completed questionnaires assessing their health, physical activity, mood, and the frequency and intensity of anxiety and anger symptoms. Descriptive statistics were utilized to analyze the data. Results: Among the participants, 56.25% were girls and 43.75% were boys. Most reported very good (51.04%) or excellent (33.33%) health. High levels of physical activity and substantial energy were common, with 54.17% being very active and 62.50% having a lot of energy. Positive moods predominated, though 57.29% sometimes felt angry and 76.04% rarely felt sadness. Physical symptoms of anxiety, such as stomach pain (51.04%) and tachycardia (40.63%), were prevalent. Conclusion: The findings underscore the significant presence of anxiety and anger among children, highlighting their impact on physical symptoms and potential implications for brain health. Early intervention and support are essential to manage these emotions constructively. Addressing environmental and social factors that trigger anxiety and anger is crucial for fostering healthy emotional development and maintaining optimal brain health.
Features of single frequency network DVB-T2 primoriy
Authors: Statsenko L.G. , Kolesnikova N.E. , Petrosyanc V.V.
Published: October 2024

The paper attempts to estimate the level of possible interference in the single-frequency DVB-T2 network of Primorsky Krai based on the results of network modeling. The object of research is the largest single-frequency DVB-T2 network in Primorye, the Vladivostok zone, formed by 45 transmitting stations located in a square of about 250×250 km and operating on two television channels – 37 (the first multiplex) and 56 (the second multiplex). The study of the quality of the single-frequency DVB-T2 Primorye network was carried out on the basis of a simulation model of terrestrial television broadcasting implemented in a software package. The Longley-Rice radio wave propagation prediction model has been adopted for single-frequency network research. The accepted network operating parameters were used in the model. In the process of modeling and analyzing the data obtained, it was established that the complex terrain of Primorye generates numerous shadow zones that cannot be eliminated only by optimizing the broadcast parameters of transmitters. The high effective isotropically radiated power of individual single-frequency network transmitters, combined with a significant antenna height, can lead to intra-system interference. The results of modeling the DVB-T2 single-frequency network "Vladivostok zone" indicate that a similar situation is observed in the service area of two transmitters of the network: Ussuriysk and S. Razdolny.
Circuit modeling of memristors
Authors: Haolong Du , Zhalnin V.P. , Shakhnov V.A.
Published: October 2024

Problem setting. Over the past few decades, the growth of electronic and computing power has fundamentally changed our work and life, and it is expected that significant new changes will occur in the future. A new generation of electronic computing machines will be built on the principle of building a human brain. It will be based on a fundamentally new element base with the use of fundamentally new technologies. Their main quality should be a high intellectual level, in particular, speech recognition, images. This requires a transition from the traditional von Neumann computer architecture to architectures that take into account the requirements of the tasks of creating artificial intelligence. The problems that the classical system of computing structure faces today are due to the bottlenecks of the von Neumann architecture. The memristor offers a solution that can be directly integrated into the processor crystal with a high density of the memory layer, which significantly reduces the memory load. And this solution increases the energy efficiency and speed of the system. The modeling of memristors has become a top priority, which will provide a research direction for the selection and production of memristors in the future. Target. The purpose of this work is to study the structure and characteristics of the HP memristor, develop a memristor model and analyze the influence of various parameters on the resistance of the memristor. Results. Some problems related to modeling the operation of memristors are considered. It is noted that the memristor has the following three features: 1. The value of the resistance of the memristor varies depending on the input voltage according to a characteristic similar to the Lissajous figure (inclined figure eight) – a compressed hysteresis loop passing through the origin; 2. This nonlinearity decreases with increasing frequency of the input signal: when the frequency reaches a certain higher value, the memristor becomes a linear resistor; 3. This nonlinearity is also related to the amplitude of the input signal: the greater the amplitude of the input signal, the greater the nonlinearity, and vice versa. The results of modeling a memristor controlled by a charge passing through it and a memristor controlled by a magnetic flux are presented. The analysis of the current-voltage characteristics of the memristor under various conditions is carried out. It is concluded that the factors affecting the resistance of the memristor are the voltage and frequency of the input signal, the cross-sectional area and the thickness of the functional layer of the memristor. Practical significance. Memristor modeling provides researchers with a direction and a method for further studying the characteristics of a memristor. At the same time, it provides assistance in optimizing the parameters and improving the performance of the memristor.
The interface language of the RAGICAL automated system of planning and management of a technical system with elements of artificial intelligence
Authors: Chechkin A.V. , Pirogov M.V.
Published: October 2024

Our goal is to create a convenient and effective interface language for automated planning and management systems, a single developing system of software tools for building and developing digitalization tools for a complex problem area. The proposed RADICAL language is based on the developing mathematical standardization of an objectively ever-increasing problem area. The most important tool here is the library of recommended radicals. The result of its application is a set of interconnected radical models of the problem area. Collectively, these models constitute a controlled and evolving family of human-machine system languages. The article discusses the main tools of radical modeling and programming technology within the framework of the RADICAL interface language. Radical poles have been introduced, with the help of which an effective search for useful knowledge, controlled construction, modification and development of a complex system should be carried out. It seems that pole radicals should currently be the main point of application of specialists' efforts to create radical modeling and programming technology based on the RADICAL language. The most important pole is the pole of systems and subsystems. In comparison with the approach of the authors of the article, the SEMAT initiative was briefly considered, as well as the GPT-4 neural network. The presented approach to the problem area of complex systems is based on the technology of radical modeling and programming. It combines, on the basis of the RADICAL language, both the means of radical modeling and programming, and, generally speaking, any means that need to be applied to solve the target tasks of complex systems. The approach used is an automation approach. It should involve both natural and artificial intelligence (with human leadership). The functioning and development of radical modeling and programming technology should be carried out "on the go", in the process of solving target tasks and conducting research. The proposed approach is focused on working in a changing problem area and processing the consequences of its changes. We also note that the RADICAL language is applicable to the work of both small teams of specialists and large teams.
The use of neural network technologies in the design of printed circuit boards
Authors: Arkhipov A.V. , Muravyov K.A. , Solodnjakov A.A. , Potanin I.S.
Published: October 2024

Problem setting. The production process of any electronic device currently involves a large number of both software and hardware. In the manufacture of electronic products, elements are automatically installed on the board using robotic devices. Along with the installation of components, the quality of the PCB design is also of serious importance. Quality control at any stage of production is assigned to a person, which significantly reduces not only productivity, but also the quality of rejection. All this leads to the need to develop modern digital methods and technologies for automatic control of components of electronic products using artificial intelligence. Target. The purpose of this work is to study methods for identifying defective areas of a printed circuit board topology that arise during its production, as well as the possibility of adjusting production line control algorithms. Results. An analysis of modern literary and Internet sources was carried out, during which the advantages and disadvantages of using neural networks in the design of printed circuit boards were determined; an algorithm was also proposed for developing a technique for monitoring the topology of a printed circuit board; a program for applying the image analysis procedure was implemented and the software package was tested. As part of the work, it is proposed to monitor the line in real time, which makes it possible to adjust the indicators “online” by entering possible causes into the database, subsequent analysis and elimination. Practical significance. The proposed solution will primarily improve the quality and increase the speed of modern printed circuit board production. The main indicator that it can provide is a reduction in the defect rate.
Program comlex SciLab as a tool for teaching the use of artificial neural networks for processing the results of a chemical experiment
Authors: Kuznetsov A.S. , Burlyaeva E.V.
Published: October 2024

Formulation of the problem. For undergraduates studying in areas related to chemistry and chemical technology, the need to study modern machine learning methods for processing experimental results is justified. It is proposed to use the SciLab software package for studying learning methods and using artificial neural networks. Goal. Training in working with artificial neural networks and the use of modern software based on the freely distributed SciLab complex for solving problems of intellectual analysis and processing of chemical experiment data using the example of solving the scientific problem of classifying chemical compounds by toxicity level. Results. The classification of methods and tools for intelligent data processing and analysis is considered. The use of artificial neural networks to solve the problem of analysis and classification is studied using the example of the toxicity properties of chemical compounds. Practical significance. A practical example of processing the results of a chemical experiment and data mining to solve problems of classification and visualization of the results obtained using the SciLab package is given.
Effectiveness of video making to enhance infection control skills by undergraduate MBBS students
Authors: Tripathi Purti C. , Singh Himanshu R. , Suryawanshi Rahul K.
Published: October 2024

Background: Competency-based medical education (CBME) Microbiology second MBBS curriculum, infection control practices are core competencies for certification of the second MBBS student. E-learning through video making can help students to achieve these infection control skills upto certifiable level. Educational videos which are of short duration, created in a step wise manner have shown to improve skill acquisition and augment observational learning. The aim and objectives were to study the effectiveness of video making as a teaching learning tool, to enhance infection control skills in undergraduate second MBBS students through video making and to evaluate the students’ infection control skills by giving them a prior checklist.
Methods: Second MBBS students after taking informed consent were enrolled for the study. Ten infection control and prevention topics were included in the study for video making. All the 100 second MBBS students in 5 groups of 20 students had made all the 10 videos of duration 2 minutes. A self-administered, validated pre-test and post-test, multiple choice question (MCQ) test and objective structured practical examination (OSPE) checklist were used.
Results: Mean post-test marks improved by a mean of 5.91 with significant p value (<0.001, using statistical package for the social sciences (SPSS) software version 29). Mean MCQ and OSPE scores also improved. In almost all the questions on feedback of student’s perception and assessment feedback, percentage of students who agreed and strongly agreed were far more than those who disagreed.
Conclusions: Second phase MBBS students learning and performance of infection control skills greatly improved when they created their own videos.
Pre-prosthetic procedures in maxillofacial surgery: A review of literature
Authors: Chavan Anur , Anto B Aravind , Sharma Sunil , Sharma Amit Kumar , Sharma Vikram , Jain Divya
Published: October 2024

Following natural tooth extraction, bone resorption initiates, particularly affecting the mandible more than the maxilla, with denture wear exacerbating this process. Nutritional deficiencies, systemic bone diseases like osteoporosis, and endocrine dysfunction can further accelerate bone loss. A comprehensive medical history and physical assessment are imperative prior to preprosthetic surgical intervention. Surgical intervention may be contraindicated in the presence of significant general illnesses. Special consideration should be given to laboratory tests assessing bone resorption extent. Success in removable prosthesis treatment hinges on the convergence of multiple factors, with one pivotal aspect being treatment success.
Measuring the growth and trends of neurology research output during 2012-2021
Authors: Santhakumar R
Published: October 2024

This paper describes scientometric study of the Neurology research in global as per the number of publications indexed in the Web of Science database. During the study period (2012-2021) a total of 12639 publications were published in the field of Neurology. The average number of publications published was 1263.9 and the highest numbers of publications (1741) were published in the year 2021. Neurology research researchers have contributed more in the form of journal articles. Anonymous is the most productive author with 155 (1.23%) publications followed by Matsumoto N with 63 (0.50%) publications. The average productivity per author for the period 2012 to 2021 is 0.26 and the degree of collaboration is C = 0.85. USA topped the list with highest share 4232 (33.48%) of publications. England ranked second with 1345 (10.64%) share of publications followed by Germany 1088 (8.61%) share of publications. 12,423 global institutions involved in the Neurology research. Among these top 12 institutions 9 are from USA, 2 are from UK and one from Canada. The scientific literature on neurology is spread over 1664 different web of science indexed journals.
Heightened occurrence of psychogenic non epileptic seizures during the pandemic
Authors: K P Divya , Cherian Ajith , Paramasivan Naveen Kumar , S Krishna
Published: October 2024

Psychogenic nonepileptic seizures (PNES) are known to be frequently precipitated or aggravated by stressors.

: To analyse the occurrence of PNES during the corona virus pandemic and compare data with the pre-pandemic period and identify possible aggravating factors.

: In this cross-sectional comparison study, subjects with PNES attending neurology services of a teaching hospital over a 6-month period were compared against baseline in the pre-COVID period. PNES was documented by video-electroencephalography (video-EEG) or home video recording. Demographics, clinical features, frequency of PNES, presence of psychiatric comorbidity, as well as anxiety [by Hospital Anxiety and Depression Scale (HADS-A)], depressive symptoms (HADS-D) and sleep quality by Pittsburgh sleep quality index (PSQI) were tabulated.

: Of the 1350 patients seen during the pandemic (6 months), 26 patients (65% female; age-26.7 years [range=4-68]) were identified to have PNES as compared to 49 of 7125 (71% female; age 28.9 years [range=5-63]) seen in the pre-pandemic period showing 2.83 times increase. HADS-A or HADS-D was abnormal (>11) in 76.9 % while 80.77% had a score >5 on PSQI indicating poor sleep quality. Poor sleep quality (p< 0.005) and higher anxiety scores (p < 0.001) correlated with PNES.

: The frequency of PNES was 2.83 times high during the pandemic as compared to pre-pandemic period. Concurrent anxiety and depression increase the risk of PNES.
Intravenous thrombolysis in acute Hemi-chorea hemi-ballismus syndrome
Authors: Shah Gaurav
Published: October 2024

Hyperkinetic movement disorders of acute onset are rare manifestation of acute ischemic stroke.

They are believed to be due to lesion in basal ganglia specifically to sub thalamic nuclei. Intravenous thrombolysis in this cases can prevent major disability. Here is a case of a 32 years old lady who had sudden onset of involuntary movements of left upper and lower limb with weakness of left side of the body. She was brought to the hospital within one hour of onset of her symptoms. Her vitals, blood sugars and CT brain plain was normal. Intravenous thrombolysis was done. She had complete resolution of symptoms in next 48 hours. MRI brain with angiography infarct in right caudate, putamen and anterior limb of internal capsule, M1 segment stenosis of right middle cerebral artery for which she was referred for carotid revascularization. Thus early identification and prompt treatment helps in prevention of disability.
Aplicação do método Servqual na área da saúde na cidade de Passos- MG
Authors: José Honório Alexandre , Ana Carolina Pimenta Ana , Bruno Celso da Silva Bruno , Maria Eduarda Oliveira Rodrigues Maria Eduardas , Patricia Regina da Silva Patricia Regina , Moreira Cavalcanti Washington Moreira , Valadares Gustavo Clemente
Published: October 2024

O tema da gestão de serviços é amplo e atual, abordando tanto a perspectiva quantitativa quanto a metodologia Servqual para melhorar a qualidade dos serviços. A abordagem quantitativa se baseia em princípios positivistas, objetividade e generalização de resultados, com ênfase na neutralidade do pesquisador e na separação entre sujeito e objeto.Para se destacar, as instituições devem superar as expectativas dos clientes e priorizar os aspectos relacionados aos serviços que oferecem, dada a crescente exigência dos clientes e a facilidade de acesso à informação. A satisfação do cliente é fundamental para o sucesso da gestão de serviços, e compreender suas necessidades e expectativas é essencial para a fidelização.Este artigo utiliza a metodologia Servqual para focar na gestão de serviços na área da saúde em Passos, MG. O objetivo geral é identificar e medir a qualidade dos serviços de saúde, tanto públicos quanto privados, com objetivos específicos que envolvem o comportamento dos usuários e a percepção deles sobre o setor de saúde em Passos.
Text complexity increase in Russian texts as a function of morphological changes
Authors:   Text Analytics Laboratory, Gatiyatullina Galiya M. ,   Kazan Federal University, Gafiyatova Elzara V. ,   Kazan Federal University, Danilov Andrei V. ,   Text Analytics Laboratory,   Kazan Federal University
Published: October 2024

The study aims to identify (1) morphological complexity predictors and (2) domain inherent markers able to differentiate subject areas of academic text in Russian. The total size of the corpus, including textbooks on biology and social studies of three levels of complexity, corresponding to 6-7, 8-9, and 10-11 grades of the Russian school, amounted to 941963 tokens. The linguistic complexity of the texts was assessed using the Flesch-Kincaid readability formula modified for the Russian language, and the interdependence of the parameters was measured based on the correlation analysis conducted with STATISTICA. Calculation of linguistic parameters values, including distribution of nouns, adjectives, verbs, and readability index, were performed using RuLingva (rulex.kpfu.ru/), a text profiler for the Russian language, while the frequency metrics of deverbatives and deadjectives were identified by the contributors manually. To ensure comparability of the metrics, the distributional analysis of deverbatives and deadjectives was performed in the corpus normalized to 10000 tokens. Metrics “noun distribution”, “lexical density”, “deverbation”, “deadjectivation” demonstrated linear interdependence with readability and as such can be viewed as complexity predictors. Inverse correlation was revealed between text readability and verb distribution. Morphological analysis confirmed a high level of texts nominativity and a stable growth of substantives frequency. The latter explicates in an increase in the frequency of deverbation and deadjectivation suffixes in texts from the 6th to the 11th grade. Metrics of lexical density, adjective distribution and substantive suffixes demonstrate ability to discriminate academic texts domains. The research findings are applicable in text analytics, computational linguistics, genre studies, and can be useful for test developers and textbook writers. The authors view the research prospect in the study of compounds of Latin and Greek origin in academic texts. The identified parameters may be used as linguistic complexity predictors and domain discriminants.
A keystroke analysis to study writing: a bibliometric review using R and VOSviewer
Authors:   Belgorod State National Research University, Dekhnich Olga V. , Litvinova Tatyana A. ,   Voronezh State Pedagogical University
Published: October 2024

Data obtained by means of keystroke logging software, which records all writing events, i.e., all keypresses with their time stamps, are widely used in different research fields and practical applications – from early detection of cognitive impairments to user authentication. Keystroke logging software have become especially popular in writing studies since it allows researchers to observe writing processes unobtrusively and increases their understanding of what happens “behind the scenes” of text production. This methodology has been used in writing studies since the advent of affordable computers in the 1990s, however, there has still been no bibliometric review that would provide a holistic picture of this field and identify hot topics and trends, perform citation analysis and identify the most productive authors and countries in the field of writing research using keystroke data. This paper is pioneer research to conducting a bibliometric analysis on the field “keystroke analysis to study writing” aimed at filling in the gap. A search was conducted in the bibliographic database Scopus on July 11, 2024. We included studies published in English post-2000 that discuss the use of keystroke data and methodology to study writing process. This review followed the guidelines of the PRISMA protocol to perform the study search and selection. The search yielded 336 documents of which 273 met out inclusion criteria. The records retrieved were analysed using the bibliometrix R-package and VOSviewer software. Using these tools in combinations, we implemented both performance analysis which examines the contributions of research constituents to a given field and science mapping which is aimed at revealing the relationships between research constituents. The contribution of this study is twofold. Firstly, it provides an in-depth bibliometric analysis of an actively developing field of research which is rather limited in terms osf the countries and institutions involved (and the languages of the texts analysed), hopefully saving time and effort for researchers new to the field. Secondly, we provide an example of using bibliometrix and VOSviewer for a bibliometric analysis which could be easily replicated in further research.
A graph-based approach to closed-domain natural language generation
Authors:   St Petersburg State University, Firsanova Victoria I.
Published: October 2024

Graph-based Natural Language Processing (NLP) methods have seen significant advancements in recent years with the development of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). LLMs are sophisticated models that recognize numerous NLP tasks by analyzing the users' natural language instructions called prompts. However, their industrial use is questionable due to such ethical concerns as false information generation called hallucinations, high risks of data breaches, and plagiarism. The paper introduces a novel NLP architecture, the Graph-Based Block-to-Block Generation (G3BG), which leverages state-of-the-art deep learning techniques, the power of attention mechanisms, distributional semantics, graph-based information retrieval, and decentralized networks. The model encodes user prompts to mitigate data breach risk, retrieves relevant information from a graph knowledge base, and forms a block for a conditional language model using LLMs to perform a new secure type of RAG. The model is closed-domain and small-scale oriented. It exhibits superior performance across low-resource NLP tasks, which makes it prominent for industrial use. The research presents a novel graph-based dataset. The dataset comprises private data features to encode and closed-domain textual information for information retrieval. The dataset is used to train and evaluate the G3BG model. The model allows cutting 100x training dataset volume achieving Perplexity ~6.51 on the Language Generation task and F1-Score ~90.3 on the Information Retrieval task comparable to most state-of-the-art language models. The experimental results prove the effectiveness of the proposed method and contribute to the algorithmic approaches toward LLM risk mitigation.
Interpretation of Human Emotion: An Implementation of Compassion through Karuna Rasa in Manjula Padmanabhan’s Lights Out
Authors:   Vellore Institute of Technology, Chakravarty Kheya , M Thenmozhi ,   Vellore Institute of Technology
Published: October 2024

This study delves into the nuanced exploration of human emotion, specifically focusing on the manifestation of compassion through the aesthetic lens of Karuna Rasa in Manjula Padmanabhan’s play, Lights Out. Emotions constitute a fundamental aspect of the human experience, and this research aims to unravel the intricate layers of compassion as depicted in the narrative. Drawing inspiration from classical Indian aesthetics, performing, and theatrical arts, Karuna Rasa encapsulates a complex ecstatic and emotional spectrum associated with compassion, empathy, and benevolence. Through a meticulous examination of Padmanabhan’s portrayal and its impact, this study enhances our interpretation and understanding of the profound role played by Karuna Rasa in invoking and navigating compassionate sentiments. Employing a descriptive qualitative methodology, the research scrutinizes how Karuna Rasa is encapsulated, manifested, and expressed by the characters, contributing valuable insights into the intersection of emotions, artistic representation, and human experiences. By illuminating the interpretative dimensions of compassion within Lights Out, this study adds depth to the existing discourse on emotions in literature, offering a nuanced perspective on the transformative power of compassion in the realm of dramatic expression. This detailed analysis not only underscores the significance of Karuna Rasa but also highlights its ability to evoke a deeper empathetic response from the audience, thus enriching the literary and emotional fabric of the play.
Software Support for Optimizing Layout Solution in Lean Production
Authors: Daneshjo Naqib , Pajerská Erika Dudaš , Klimek Miroslav , Danishjoo Enayat
Published: October 2024

As progressive managerial styles, the techniques based on "lean thinking" are being increasingly promoted. They are focused on applying lean production concepts to all phases of product lifecycle and also to business environment. This innovative approach strives to eliminate any wasting of resources and shortens the time to respond to customer requirements, including redesigning the structure of the organization’ supply chain. A lean organization is created mainly by employees, their creative potential, knowledge, self-realization and motivation for continuous improvement of the processes and the production systems. A set of tools, techniques and methods of lean production is basically always very similar. Only a form of their presentation or classification into individual phases of the product lifecycle may differ. The authors present the results of their research from the designing phases of production systems to optimize their dispositional solution with software support and 3D simulation and visualization. Modelling is based on use of Tecnomatix's and Photomodeler's progressive software tools and a dynamic model for capacitive dimensioning of more intelligent production systems.
Planning Critical Infrastructure based on Population Growth and Environmental Constraints
Authors: Al Masuudi Nabawiya Khamis , Muhammad Arshad , Ali Fekihal Mabruk , Saini Dinesh Kumar
Published: October 2024

This study explores the impact of public school location/distribution and surrounding build environment based on its distance from the main street, service road, petrol stations in Sohar, Oman using GIS. Data have been collected from various official sources to fulfil the requirements of this study, which helped in constructing the geodatabase for this project. The results of this study demonstrated that there is an apparent inconsistency in public schools distribution, as most public schools are concentrated in one location. The study concludes with suggestions and recommendations to use GIS and spatial planning by the decision makers to make future sound decisions of building public schools. It is desirable to build schools in areas with lower percentages of highways and commercial sectors.
Analysing K12 Students’ Self-Efficacy Regarding Coding Education
Authors: Soykan Fatih , Kanbul Sezer
Published: October 2024

This study aims to analyse a group of k12 students’ self-efficacy regarding coding. The students are receiving “Coding Education” at a private school via Code.org as part of an elective course. The “Coding Self-Efficacy Scale” was used in the study. The scale which consists of 31 items is a 5-point Likert-type scale. The study is a descriptive survey model. The study’s experimental group consisted of k12 students. The research sample is comprised of 193 students receiving coding education. Results will be derived from arithmetic means, standard variation, mode, median, frequency and t analyses of the collected data. At the end of the study, it was identified that the students taking coding education had a higher self-efficacy compared to the students who had not received coding education and that more than half of the students not taking coding education stated that they would like to take this course. It is believed that the study findings will provide an insight for other researchers working in the area of students’ self-efficacy regarding coding.
Path Generation by Avoiding Obstacles using the Intersection of Bodies
Authors: Martin Komák , Marian Králik
Published: October 2024

We will discuss the problem of path finding in 3D space with an obstacle. The thesis deals with the problem of searching for the shortest path between the individual points in the space so that this path does not come into collision with an obstacle. A system has been designed to construct paths in cross-sectional planes of the given object representing an obstacle, based on its surface contour. The system solves the issue of loading STL format, creating cross-sectional planes of the object, intersection between geometric shapes, and generation of lines around the contour of the object in 2D. An experiment was performed, in which we have been moving around a model of a jet aircraft and its results are described in the conclusion.
Assessment of Bossing in Secondary School Environment in the Slovak Republic, Depending on the Length of Practice of the Respondents
Authors: Droppa Milan , Birknerová Zuzana , Frankovský Miroslav , Križo Pavol
Published: October 2024

On the theoretical level, the contribution includes the essence of mobbing and bossing. The causes of bossing, its characteristics, methods, consequences for the individual and the organization and protection against bossing. On the practical level, the incidence of bossing was evaluated in the environment of secondary education teachers in the Slovak Republic. The aim of the paper was to elaborate logically comprehensive theoretical knowledge from the subject and to find out the real status of bossing in the secondary school environment in the Slovak Republic. Bossing was detected in communication; social relations; fairness, respect and seriousness; working life and health. The following methods were used to achieve the goal: literature study, mathematical and statistical methods, analytical and synthetic method, empirical method (questionnaire technique) and inductive method.
Comparing the Artifacts of Agent Methodologies
Authors: Abdalla Reem , Mishra Alok
Published: October 2024

Agent-oriented software engineering (AOSE) systems are often distinguished from each other based on intelligence, autonomy, and reasoning. In this recpect, agent methodologies aim to covering all important components needed to build software systems. The success of agent methodologies depends on the development of all the necessary processes within different software stages, such as analysis, design, implementation, testing and maintenance. This work introduces a comparative study of agent approches with the purpose to asseses and compare the development lifecycle processes of four different well-known AOSE methodologies, ADELFE, PASSI, Gaia and O-MaSE to define the similarities and differences between them. We can conclude that, the development of standard agent approach that supports Multi-Agent Systems (MAS) based has become an urgent need.