bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Chemistry Confusions and Misconceptions in Nepalese Secondary Education
Authors: Subedi Rishi Ram
Published: November 2024

This study investigates the confusions and misconceptions in chemistry of ninth and tenth graders in Nepal. The primary objectives were to identify misconceptions in various areas of chemistry, determine their sources, and understand teachers' perceptions of these misconceptions. A concurrent mixed-method research design was employed, utilizing questionnaires and interviews for data collection. A random sample of 120 students from Grades 9 and 10 participated in the study. The findings revealed significant misconceptions in areas such as chemical reactions and stability, chemical equations, acids, bases and salts, and the periodic table. The main sources of these misconceptions were identified as common sense, textbooks, and teachers. The study highlights the importance of addressing these misconceptions to improve chemistry education. It provides valuable insights for future research, aiding in the planning and development of theoretical and conceptual frameworks to better understand and mitigate misconceptions in chemistry education.
Trends and Outcomes of the Management of Common Bile Duct Stones at KIST Medical College Teaching Hospital
Authors: Bohara Tanka Prasad , Joshi Mukund Raj , Dangol Ellina , Singh Akanand , Bhatta Ashish
Published: November 2024

Introduction: Common bile duct (CBD) stones are found in 10% to 15% of patient having cholelithiasis. Various surgical methods including endoscopic, laparoscopic and open surgical techniques are practiced but there is no consensus on the management. This cross-sectional study aims to analyze the demographics and trends un management of CBD stones at KIST Medical College.
Methods: Patient undergoing CBD stone management from 15 June 2021 to 31 December 2023 were included in the study. Different treatment methods applied and outcomes were analyzed.
Results: Fifty-one patients were included in the study with 18 (25.3 %) males and 33 (64.7%) females. Abdominal pain was the most common symptom. Laparoscopic cholecystectomy(LC) with intraoperative(io)-ERCP was done in 30 (58.8%) patients, while LC + Laparoscopic CBD exploration(LCBDE) was done in 11 (21.6 %) and Endoscopic Retrograde Cholangiopancreatography(ERCP) only was done in 10 (19.6%) patients. The significant difference was observed in the length of hospital stay [5.03 ± 2.13 vs 6.36 ± 2.29, p=0.046] and the number of days the drain was kept [2.20 ±0.45 vs 4 ± 1.90, p=0.037] both favoring LC + io-ERCP group. Stone clearance, post-operative complications and operative time were comparable between the two groups.
Conclusion: Single-stage management of cholelithiasis and choledocholithiasis is feasible at our center. Both LC with io-ERCP and LC + LCBDE can be performed selectively with acceptable and comparable outcomes.
Exploring the Impact of Workforce Diversity on Employee Attitudes and Organizational Performance: An Empirical Study of Perceptions and Outcomes
Authors: Adhikari Shreya
Published: November 2024

Background: As modern organizations increasingly prioritize workforce diversity, understanding its influence on employee performance and organizational effectiveness is crucial. This study investigates the impact of diversity dimensions, including gender, age, ethnicity, and educational background, on employee attitudes and workplace outcomes.
Objectives: The primary aim is to assess employees' perceptions of diversity within organizational contexts, exploring their attitudes toward diversity initiatives, personal impacts, and the broader effects on organizational success.
Methods: A quantitative survey approach was employed, with a structured questionnaire administered to capture responses from a diverse participant sample. The survey examined agreement or disagreement across statements related to diversity's benefits, costs, and effects on organizational harmony and personal satisfaction.
Findings: Results reveal a strong, positive perception of diversity among respondents, with the majority indicating that diversity fosters harmony, organizational effectiveness, and personal enrichment. While 91.4% express enthusiasm for diversity, 100% agree that diversity initiatives are worthwhile and support continued organizational efforts. Negative sentiments were minimal, indicating broad acceptance and positive attitudes toward diversity.
Conclusion: The findings highlight diversity as a strategic asset that enhances innovation, inclusivity, and organizational performance. The study underscores the value of fostering a diverse workplace culture where employees feel appreciated, engaged, and motivated to contribute unique perspectives.
Novelty: This research adds to the growing body of literature by providing empirical evidence from a varied demographic context, reinforcing diversity’s role in strengthening organizational cohesion and performance. The insights contribute to a deeper understanding of how positive diversity perceptions can be leveraged as a driver of organizational success.
Serological Monitoring as an Indicator of Population Immunity against Hepatitis B in the Population of the Russian Federation
Authors: Solov’yov D. V. , Korabel’nikova M. I. , Kudryavtceva E. N. , Vlasenko N. V. , Panasyuk Y. V. , Rodionova Z. S. , Klushkina V. V. , Dubodelov D. V. , Glinenko V. M. , Semenenko T. A. , Kuzin S. N. , Akimkin V. G.
Published: November 2024

Hepatitis B (HB) remains one of the serious medical and social health problems, and to assess the epidemiological situation, it is necessary to analyze the state of population immunity by collecting information on its intensity during serological studies. The aim of the work is to assess the level of population immunity against HB in the population of the Russian Federation in 2017 to 2022. Materials and methods. The results of serological monitoring for the presence of anti-HBs, provided by territorial laboratories of medical institutions of each subject of the Russian Federation in 2017 to 2022, were analyzed. The cohort of subjects in each subject of the Russian Federation consisted of persons in the age groups 3–4, 16–17, 20–29, 30–39, 40–49 years old, numbering at least 100 people each. The analysis of the obtained data for 6 years (2017–2022) was carried out using averaged data for every two years – 2017–2018, 2019–2020 and 2021–2022. The number of study cohorts during these time intervals was 88,151, 84,166 and 97,274 people, respectively. Results and discussion. The average values of the proportion of persons with immunity against HB were 69.0% in 2017–2018, 66.2% in 2019-2020 and 61.3% in 2021–2022. The highest proportion of people with protective immunity against hepatitis B was observed in the age group of 20-29 years. The proportion of children 3-4 years old who had anti-HBs detected at a concentration exceeding 10 IU/l was 65.8–72.5%, and 16–17 years old – 49.6–64.9%. The intensity of post-vaccination immunity against HB in children 16-17 years old should be considered insufficient. Conclusion. An analysis of serological studies results for the period from 2017 to 2022 showed that the potential of vaccine prevention of hepatitis B, carried out since 2006 within the framework of the priority National Project «Health», is not fully realized.
First Finding of the Emerging Pathogen Escherichia marmotae in the Arctic
Authors: Aslanov B. I. , Goncharov A. E. , Kolodzhieva V. V. , Azarov D. V.
Published: November 2024

Relevance. Escherichia marmotae is a recently described species of Escherichia that is considered a potential new zoonotic pathogen. The geographical distribution of this microorganism in wild animals and its genomic diversity are currently insufficiently studied. Aims. The purpose of the study was to determine the pathogenic potential of the Escherichia marmotae 16guk strain isolated from zoogenic material on Hooker Island (Arkhangelsk Region, Franz Josef Land Archipelago) and its phylogenetic relationships with previously described strains of different origin. Materials and methods. The Escherichia marmotae 16guk strain was isolated from the faeces of an arctic fox (Vulpes lagopus) near a breeding ground. The pathogenic potential of the strain was assessed on the basis of genomic sequencing data using Illumina technology, an estimate of the mean lethal dose when administered intraperitoneally to mice, and an assessment of the antibiotic resistance phenotype using the disc diffusion method. To determine the phylogenetic position of the described strain within the overall structure of the microbial population, genome-wide sequencing data deposited in NCBI GeneBank were used. The phylogenomic analysis was performed based on the distance matrix of single nucleotide polymorphisms in the core genome due Parsnp. Results. The strain is characterized by low virulence when tested on mice (LD50 was 1.3*109 K.O.E.), has resistance to ampicillin and gentamicin. A number of pathogenicity factors have been identified in the genome structure, which includes siderophores of enterobactin and aerobactin operons, fimbria type I genes characteristic of extraintestinal Escherichia strains, amyloid-like protein villi (curli) and capsular genes, as well as the ibeABC invasion factor operon. The resistome is represented by blaEC15 beta-lactamase genes and acrAD-TolC efflux pump genes. According to the results of phylogenomic analysis, the strain under study shows the greatest similarity with the genome sequences of strains circulating in New Zealand and Germany among wild animals (wild boars) and birds. The similarity of the genomes of strains distributed in distant geographical regions and the isolation of the 16guk strain within an ornithogenic ecosystem can be interpreted as a result of the spread of E. marmotae with migratory birds. Conclusions. The discovery of the Escherichia marmotae 16guk strain in one of the most remote Arctic territories demonstrates the possibility of the emergence and circulation of enterobacteria strains with significant pathogenic potential in the island territories of the high-latitude Arctic, which actualizes the need for systematic monitoring studies in this region.
Assessing the Effectiveness of Risk-Oriented Handwashing in Cardiac Surgery
Authors: Sadovnikov Е. E. , Kondrikova N. V. , Barbarash O. L. , Brusina E. B.
Published: November 2024

Relevance. Healthcare-associated infections are a serious complication worldwide, with improper hand cleaning thought to be the main cause. Compliance with handwashing requirements is achieved in only 38% of cases. A risk management technology is the implementation of a standard operating procedure in practice, and an effective tool for analyzing non-compliance with its standards is an audit system that allows you to respond in a timely manner to existing deviations. The introduction of a system of audits of the epidemiological safety of medical technologies seems to be one of the directions of the risk-based approach to the prevention of infectious complications. Aim. To evaluate the effectiveness of hand sanitizing technology audits as a tool to reduce the risk of infections. Materials and methods. Over a three-year period, an audit of handwashing was carried out in four departments of the cardiac surgery center, during which 9924 checklists were analyzed. The audit itself took place according to the methodological recommendations we had previously developed. The audit results were processed in Microsoft Excel to form a database. Risk grading was carried out for each checklist using the risk matrix and the Percentile function in increments of 0.25 Results. During the audit, 5 items related to hand treatment technology were assessed: equipment of the workplace for hand treatment, hand treatment technology, the presence of antiseptic in areas of mandatory hand treatment, epidemiological safety during manipulation and patient care, organization of the hand treatment system. Initially, the risk in all positions was assessed as high, the implementation of corrective measures reduced the risk of infections associated with the provision of medical care to low values, and the incidence of infections in the cardiac surgery hospital decreased from 3.42 to 1.25 per 1000 patient days. Conclusion. The introduction of an audit system for hand sanitizing technology is an effective measure to reduce the risk of infection.
M. tuberculosis Infection in Patients with HIV Infection and Incidence of Tuberculosis: 8-year Follow-up
Authors: Bogorodskaya E. M. , Belilovskiy E. M. , Ayusheeva L. B. , Posadskaya E. N.
Published: November 2024

Relevance. Patients with HIV infection is of the leading risk groups for tuberculosis. According to WHO, the presence of HIV infection increases the likelihood of developing tuberculosis by 26 times and is the second factor in the world after malnutrition that affects the number of cases of tuberculosis. Aims. Study of primary infection with M. tuberculosis, spread of latent infection and incidence of tuberculosis in HIV-infected patients during 8 years of observation. Materials & Methods. An analysis of the data from the register of requests to the Cabinet was carried out. We studied a cohort of persons living with HIV who first visited the TB office in 2016. We studied information about screening for latent and active tuberculosis infection. We studied information about the course of HIV infection: the date of registration at the AIDS Center, the date of receiving a positive immunoblot result, the level of CD4+ lymphocytes, the stage of HIV infection, information about taking antiretroviral therapy. Results and discussion. The study was conducted on a large array of data obtained in a cohort of patients with HIV infection who first applied in 2016 to the office for the prevention and early detection of tuberculosis of the Moscow Research and Clinical Center for Tuberculosis Control of the Moscow Government Department of Health and was observed for 8 years until 2023. For evaluation of the spread of tuberculosis infection among persons living with HIV, a subgroup of 5754 people was identified for whom the test results with recombinant tuberculosis allergen -ATR, were known in 2016, which amounted to 80.8%. A total of 6,733 ATR were administered, with 15.0% of patients not presenting for evaluation, 1.0% refusing the test, and 3.2% having a medical exemption from the skin test. In this group, over 8 years (2016-2023), 38 (13.1%) people out of 291 patients with ATR(+) and 55 (1.0%) people out of 5503 people with ATR(-) fell ill. During the first 4 years of observation in 2017-2020, 91.7% of all tuberculosis cases were registered for persons living with HIV with LTBI in 2017-2023. Conclusion. The presence of LTBI in patients with HIV infection increases the likelihood of developing tuberculosis by more than 10 times, while the chance of developing tuberculosis is more than five times lower in people with LTBI who have received a full course of preventive treatment for tuberculosis. The lack of preventive therapy for tuberculosis accelerates and increases the likelihood of persons living with HIV contracting tuberculosis: during the first year of observation, 70% of all cases become ill.
Epidemiological Analysis of the Incidence of Hemorrhagic Fever with Renal Syndrome and Tick-Borne Encephalitis in the Russian Federation
Authors: Dzagurova T. K. , Tkachenko E. A. , Trankvilevsky D. V. , Kolyasnikova N. M. , Teodorovich R. D. , Kurashova S. S. , Vorovich M. F. , Tkachenko P. E. , Balkina A. S. , Egorova M. S. , Popova Yu. V. , Belyakova A. V. , Ishmukhametov A. A.
Published: November 2024

Relevance. Hemorrhagic fever with renal syndrome (HFRS) and tick-borne encephalitis (TBE) are the most common natural focal diseases of viral etiology in Russia. The medical and social significance of these two infections is determined by the extensive foci of their spread, high annual morbidity rates, and the presence of severe forms of the disease can lead to permanent disability and even death. Aim. To assess the current epidemiological situation of HFRS and TBE in the Russian Federation. Conclusions. Over 23 years (from 2000 to 2022), 164,582 cases of HFRS were identified in Russia with an average annual rate of 4.9 cases per 100 thousand population, as well as 71,579 cases of TBE with an average annual rate of 2.5 cases per 100 thousand population; 668 (0.4%) and 1136 (1.6%) deaths from HFRS and TBE, respectively; 4030 (2.5%) and 9414 (13%) children under the age of 14 years among patients with HFRS and TBE, respectively. The incidence of HFRS and TBE per 100 thousand population of Russia was higher among rural residents than among urban residents. Most cases of HFRS were registered in the autumn-winter period, and TBE – at the end of June – the first half of July. Of the 85 administrative regions of Russia, cases of HFRS and TBE are registered in 42, in 18 – only HFRS, in 13 – only TBE, and in 12 regions no clinically diagnosed cases of HFRS and TBE have been identified.
Global Climate Governance: Evaluating Policy Responses in an Era of International Cooperation and Competition
Authors: Ahmad Bashir , Bashir Maha , Mushahid Arifa
Published: November 2024

This research paper provides an in-depth analysis of how the global community is working to address climate change through international cooperation and competition. It highlights dual forces that shape global climate governance, focusing on the Paris Agreement as a key framework. The article focuses on the fact that although international cooperation. Most countries fail to achieve the targets they set forth as part of their pledges; the gap between the pledging and the actual reduction of emissions is huge. International competition, especially in the area of renewable energy, would spur innovation and progress. China and the United States have invested heavily in green technologies; these investments have economically and strategically benefited those respective nations. This competition creates unequal disadvantages, especially for developing countries that cannot compete because they do not have sufficient resources. Non-state actors, including cities, corporations, civil society organizations, are also increasingly crucial to filling out national efforts.
An Atypical Case of Miyazaki Syndrome with Internal Jugular Vein Stenoses and Persistent Cervical Subdural Effusions
Authors: Wernz C.W. , Gandhi A.A. , Yu A.C. , Ansari S. , Delumpa A.E.
Published: November 2024

We detail a case of overshunting associated myelopathy, or Miyazaki syndrome, in a patient with an implanted ventriculoperitoneal shunt. This case is unique because the cord compression was mainly due to a subdural effusion, which did not resolve after correction of CSF over-shunting.
We aim to show that the presence of bilateral internal jugular vein stenoses may have led to preferential development of cervical epidural venous drainage and congestion, which subsequently led to subdural effusion.Learning Objectives:  Recognize
factors that contribute to the development of Miyazaki Syndrome. Differentiate Miyazaki Syndrome from simple intracranial hypotension. Identify causes of preferential outflow into the cervical epidural venous
plexus. 
Research on Autonomous Navigation of Unmanned Aerial Vehicles Based on Correlation-Based Image Comparison Methods
Authors: Belyaev P. Yu. , Zikratov I. A.
Published: November 2024

Relevance. Autonomous navigation of unmanned aerial vehicles (UAVs) is one of the key challenges in the modern aerospace industry. Specifically, for small UAVs, the task of autonomous navigation becomes even more complex due to limitations in computational resources and sensor capabilities. Optimizing navigation methods under such conditions is a pressing issue that requires solutions capable of providing high performance with minimal resource consumption.

Objective. Improving the efficiency of autonomous navigation for small UAVs by using correlation methods for image comparison. Achieving this objective is linked to the development and evaluation of algorithms that provide high-speed and accurate navigation with limited computational resources. The work uses methods such as the autocorrelation function, Pearson correlation, the structural similarity index, and a simple neural network for image comparison.

Solution. The research showed that the autocorrelation-based approach demonstrates the best performance under low computational resources. It ensures high-speed processing of the entire image and shows optimal detection accuracy. Compared to other methods presented in the study, the autocorrelation approach is capable of working not only with noise in the "reference" map but also of using alternative areas with altered patterns as detected regions.

The scientific novelty of the study is determined by the systematic comparison of various methods applied to the task of image comparison for small UAVs with limited computational resources. Unlike well-known works in the field of correlation-extreme systems, this research focuses on the use of a "reference map" and a search area, representing two different images of the same terrain taken from different sources. This is a key difference, as most methods are not highly efficient in processing such images where patterns may differ significantly.

The practical significance of the developed algorithm lies in the fact that the proposed autocorrelation-based method can be used by developers of autonomous small UAV control systems to reduce computational load and increase data processing speed.
Constant Values Distribution Investigation in the C Programs Source Code
Authors: Izrailov K. E.
Published: November 2024

Currently, software engineering plays a key role in software development, one of the criteria for the development of which is the investigation of its factology and various scientific and practical patterns. An important aspect of this area is the logic of program execution, operating with internal data, and, in particular, constant values, the identification of patterns in which actualizes this research. The main applications of this pattern include obtaining fundamental knowledge about algorithms, creating new and expanding existing metrics for evaluating and comparing program code, developing methods for its optimization, using it in genetic programming, etc.

The purpose of this article is to obtain the frequency distribution of constant values in the source code of programs in the C programming language.

The essence of the presented approach is to create a method for statistical analysis of the text of the source codes of programs contained in the ExeBench dataset (which consists of a huge amount of source code of functions in the C programming language, their assembler code for various processor architectures, compilation errors and other information).

The proposed method is based on the use of algorithms for lexical and syntactic analysis of source code functions, semantic definition of constant types, and conversion of the recording of programming language symbols into the corresponding numeric or string values.

The method has an implementation in the form of a software tool in the Python programming language, given in the form of an intuitive pseudocode. Experiments using this prototype allowed us to obtain the desired distribution of constant values for the source code of programs in the C programming language. Analysis of the obtained results allowed us to make a number of important theoretical and practical conclusions regarding the most frequently used constants, the correspondence of the obtained distribution to the Zipf law and its proximity to the exponential function, the anomalous appearance of a number of constants in the Top 50, etc.

The scientific novelty of the proposed approach lies in the fact that the distribution of constant values for the source code of programs in the C programming language is obtained for the first time.

The theoretical significance consists in obtaining new fundamental knowledge regarding the features and patterns of source code constructions, which can be extended to other programming languages.

The practical significance consists in applying the distribution to a wide range of tasks, including the author's genetic reverse engineering, which in itself is a qualitatively new direction.
Application of the Gray Wolf Optimization Algorithm and Neural Networks for Solving Discrete Problems
Authors: Lisov A. A. , Vozmilov A. G. , Gundarev K. A. , Kulganatov A. Z.
Published: November 2024

Relevance. In recent decades, metaheuristic optimization methods have become popular for solving complex problems that require searching for global extrema. Algorithms such as genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), as well as more modern approaches such as cat pack optimization (CSO) and gray wolf pack optimization (GWO) demonstrate high efficiency, but their application is often limited by the conditions of continuity and differentiability of the objective functions. This is a challenge when solving problems with discrete data, where such requirements are not met. In this context, the search for methods that allow adapting metaheuristic algorithms to work with discrete functions is of particular relevance.

Aim. The study is aimed at testing the hypothesis about the possibility of using a neural network trained on a limited set of discrete data as an approximation of a function sufficient for the correct execution of the GWO algorithm when searching for a global minimum. The implementation of this hypothesis can significantly expand the scope of GWO, making it available for a wider range of problems where functions are defined on discrete sets.

Methods. The study is based on the analysis of existing approaches and experimental verification of the hypothesis on two test functions: a linear function and a Booth function, which are widely used as standards for evaluating the performance of optimization algorithms. Numerical experiments were conducted using neural networks as an approximating model to obtain the results.

Solution. During the experiments, an analysis of the applicability of neural networks for approximating discrete functions was carried out, which showed the success of this approach. It was found that neural networks can approximate discrete functions with high accuracy, creating conditions for a successful search for a global minimum using the GWO algorithm.

Novelty. For the first time, a hypothesis was proposed and tested on the use of neural networks for approximating objective functions in metaheuristic optimization problems on discrete data. This direction has not previously received due coverage in the scientific literature, which adds significance to the obtained results and confirms the effectiveness of the proposed approach.

Practical significance. The results of the study open up new prospects for the application of algorithms such as GWO in optimization problems based on discrete data, expanding the capabilities of metaheuristic methods and facilitating their implementation in a wider class of applied problems, including problems where the use of other methods is limited.
The Efficiency Assessment of the Blockchain Networks Adaptive Algorithm as Part of a Multi-Consensus System on Communication Networks
Authors: Pomogalova A. V.
Published: November 2024

The relevance of the approaches and solutions proposed in the work is due to the desire for distributed computing and decentralization of system modules using blockchain technology in order to increase the autonomy, security and independence of system components. The implementation of blockchain technology for decentralization is hampered by the lack of flexibility in terms of the algorithm for making a single decision in the asynchronous system ‒ consensus, which affects the amount of generated network traffic and the requirements for the hardware component. Due to the changing nature of the transmitted traffic, the load on the communication channel, the time of day of traffic transmission, the equipment, and the network protocols used, the development of a single universal consensus algorithm is not possible, since it depends on a very wide range of variable and specific parameters characteristic of different tasks. The introduction of adaptation mechanisms to current network conditions and a change in the consensus algorithm without losing information and with a satisfactory level of delays would provide sufficient flexibility for further implementation in existing telecommunication systems. The purpose of this paper is to evaluate the effectiveness of the proposed adaptive algorithm for choosing a consensus for blockchain networks.

The essence of the presented algorithm is to change the consensus algorithm on a section of the blockchain network upon reaching certain network conditions, which allows regulating the amount of generated load on the communication network to reduce the loss of transaction blocks and the subsequent delay in their processing. The proposed efficiency assessment model is based on mathematical modeling methods, differential equation analysis, queueing theory and network graphs. The analysis of the results showed the efficiency of the proposed model when comparing the results of the analytical calculation and the experiment. The scientific novelty of the proposed approach is to developing an adaptive consensus selection algorithm, as opposed to developing a universal consensus algorithm, and the efficiency assessment model of the proposed algorithm on the communication network, taking into account a number of parameters characterizing the devices and the section of the communication network.

The theoretical significance is in the universality of the proposed efficiency assessment model for calculating the synchronization speed of all nodes of the blockchain network with specified network parameters.

The practical significance of the proposed algorithm and efficiency assessment method lies in the formation of new approaches and opportunities for integrating blockchain technology into modern communication networks, abstracting from the problem of consensus selection in changing conditions of the communication network section.
The Method of Measuring the Occupancy of the Radio Frequency Spectrum, Varying According to the Daily Cycle
Authors: Tokarev A. B. , Ostankov A. V. , Polev V. Yu.
Published: November 2024

Relevance. Management of the use of the radio frequency spectrum requires taking into account the actual occupancy of radio channels and frequency bands. However, the patterns of occupancy change underlying the International Telecommunication Union (ITU-R) Radiocommunication Sector documents do not fully meet the needs of practice. Some of the ITU-R recommendations are focused on estimating local occupancy for short time intervals; other recommendations involve measurements in stationary radio channels, although only a small part of real radio channels can be counted on to have the constant occupancy throughout the time axis. At the same time, the activities of many organizations, and therefore the resources they use, are subject to a daily cycle of activity, which allows us to recommend for consideration a model of occupancy change in accordance with the daily cycle.

The aim of the work is to develop a methodology for collecting information and forming an estimate of the daily occupancy change for the analyzed radio channels.

Methods used. The development of recommendations for the collection of data for occupancy monitoring is based on the practical approaches of radio monitoring services and classical methods of statistical analysis.

Novelty. In this paper, a new model for changing the occupancy of radio frequency channels in accordance with the daily cycle is proposed for use, as well as a statistically justified method for measuring occupancy.

Result. The proposed methodology allows us to obtain a practically oriented assessment of occupancy changes, which does not require replacing the fleet of equipment traditionally used by radio monitoring services; the necessary changes can be implemented with relatively simple software modification. The paper provides preliminary recommendations for ensuring the accuracy and reliability of measurements, based on a traditionally used mathematical apparatus, which involves limiting the relative measurement error. This entails the need for very long measurements for the most important low-occupied radio channels. So, it is necessary to look for alternative measurement accuracy requirements that would meet the real needs of radio monitoring services.

Practical significance. The acceptance of the developed methodology will eliminate the currently existing contradiction between the theoretical provisions underlying the ITU recommendations and the practice of conducting radio-controlled measurements.
A Set of Models for Device Positioning in Sixth Generation Networks. Part 2. Review of Algorithms and Accuracy Assessment
Authors: Fokin G. A.
Published: November 2024

Relevance. This work is the second part of a series devoted to the study of a set of positioning models in sixth-generation terahertz networks and solves the problems of systematizing algorithms and assessing the accuracy of determining the location of a user device depending on the configuration and size of the antenna array at the base station.

Purpose. Within the framework of the scientific problem of searching for means of achieving decimeter accuracy of coordinate estimates, outlined in the first part of the cycle, the analysis of accuracy assessment models, a review of algorithms and ways of their optimization, as well as a numerical experiment, performed in this study serve the purpose of justifying the configuration and dimensions of the antenna array used at the base station.

The research method is an analytical review of the state of the problem based on current scientific publications, conceptual modeling, categorical approach, expert combination, comparative analysis, formalization, mathematical and simulation modeling.

Solution / results. The paper presents models for assessing the accuracy of positioning in 6G terahertz networks, formalizes the relationship between primary measurements and coordinate estimates for multi-position and single-position positioning in the near and far zones. It provides an overview of algorithms for geometric positioning and positioning with training for cases of one-stage and two-stage processing; analyzes the specifics of implementing algorithms for simultaneous tracking and map construction. It provides an analysis of the features of optimizing algorithms in offline and online modes. Simulation modeling is used to assess the accuracy for a scenario of territorial distribution with direct visibility and ideal synchronization.

Novelty. Using simulation modeling tools, the achievement of decimeter accuracy of coordinate and orientation estimates of 1° in the terahertz range for a far-field model using a 1 GHz band and a composite antenna array of more than half a thousand elements has been scientifically substantiated.

The theoretical significance lies in establishing the dependence of the accuracy of coordinate and orientation estimates of the device on the configuration and dimensions of the antenna array at the base station.

The practical significance of the developed simulation model lies in the numerical justification of the limits of device positioning accuracy in sixth-generation networks depending on the antenna array used at the base station for a given scenario.
Holographic Communication: A Study of the Quality of Holographic Copies Perception
Authors: Demidov N. A. , Makolkina M. A.
Published: November 2024

Relevance. Holography is becoming one of the most promising areas of visualization of three-dimensional objects, which justifies the emergence of a certain scientific interest in this area of research. There is a general global trend of intensifying the work of specialists on the problem of using holographic technologies in various areas of human activity. Trends in the implementation of holographic services and holographic communication today already require a revision of the principles of planning, designing and building existing communication networks, as well as approaches to the implementation of sixth-generation networks 6G, which are based on the integration of various technologies and communication networks into a single network. A separate issue is the assessment of the quality of service and the quality of perception of holographic services by both objective and subjective assessment methods. There are practically no criteria for assessing the quality of a holographic image, including scales and methods for subjective assessment of the quality of holographic services. Moreover, the properties of the holographic flow are poorly understood, and even less so its influence on communication networks and requirements for network parameters, which makes the tasks of studying traffic characteristics and assessing the quality of service of holographic services very relevant.

The aim of the work is to evaluate the quality of perception of holographic conference calls using a subjective evaluation method on a model network. The work uses methods of subjective assessment of the quality of perception. The materials presented in the article reflect the results of the authors' experimental research work on studying the problem of the quality of perception of holographic copies. A description of the developed scheme of a full-scale experiment is given.

Results. The data obtained as a result of the work of an expert group on assessing the quality of perception are presented. The subjective assessment of the quality of perception of a holographic image begins to deteriorate with 8 connections and becomes unsatisfactory with 12 connections, which must be taken into account when planning experimental studies of work on assessing the quality of perception.

Novelty. For the first time, an assessment of the quality of perception of the provision of a holographic conferencing service was carried out using a subjective assessment method.

Theoretical significance. The influence of increasing the number of holographic traffic flows on the quality of perception of the received content is analyzed.

Practical significance. Expanding the possibilities for assessing the degree of user satisfaction with holographic services.
Optimalisasi Peran Pelatih dan Orangtua dalam Periode Peak Height Velocity dan Perkembangan Fisiologis Atlet
Authors: Syamsudin Fajar , Natalia Desy Putriningtyas  , Bogy Febriatmoko  , M. Bakhtiar Subardi  , Fathurrahman Prasetyo  , Safina Azzahra  , Maylvie  , Haqiqi Salman
Published: November 2024

Untuk memaksimalkan PHV (peak height velocity) atlet seharusnya memenuhi kebutuhan gizi dan nutrisi, dapat istirahat tidur dengan cukup, serta melakukan aktifitas fisik yang cukup. Namun yang terjadi dilapangan kerap ditemui atlet dalam masa PHV menurunkan berat badan demi bertanding, latihan hingga larut malam hingga kelelahan berlebih. Tujuan kegiatan pengabdian kepada msyarakat ini adalah untuk memberikan edukasi pengetahuan dan pemahaman mengenai PHV. Pengabdian ini dilaksanaakan di Sukoharjo, diikuti oleh 40 pelatih dan 10 orangtua siswa yang ada disukoharjo. Metode yang digunakan dalam kegitan ini adalah seminar edukasi, diberikan materi baik secara lisan dan tertulis dengan diskusi dua arah. Materi berkenaan dengan faktor yang mempengaruhi PHV, bagaimana memaksimalkan peran pelatih dan orangtua agar dapat bersinergi untuk prestasi maksimal atlet, dengan memahami kecukupan gizi anak, pola hidup sehat dengan tidur yang cukup, dan progam latihan yang sesuai dengan periode PHV. Kesimpulan dari kegiatan ini adalah bahwa setiap pelatih dan orangtua sudah siap dalam bekerjasama untuk memaksimalkan periode PHV pada atlet.
Penerapan IPTEK dalam Upaya Peningkatan Penjualan Kuliner melalui Digitalisasi Sertifikat Halal dan E-Commerce
Authors: Lestari Elly , Sa'diyah Ana Arifatus , Rifa'i Muhamad
Published: November 2024

Usaha Mikro Kecil dan Menengah (UMKM) merupakan suatu usaha yang dilakukan oleh perorangan atau badan usaha milik perorangan. UMKM Kuliner berkembang cukup pesat saat ini. Hasil penjualan produk yang dilakukan mengalami peningkatan setiap bulannya. Pelaksanaan program ini berdampak terhadap meluasnya nama brand UMKM di mata masyarakat dengan digitalisasi sertifikat halal dan e-commerce. Digitalisasi sertifikat halal dan e-commerce meningkatkan angka penjualan mitra dan meningkatkan perekonomian mitra
Digitalisasi Data Kependudukan dan Pemutakhiran OpenSID Desa Tampaksiring Kabupaten Gianyar
Authors: Ramjaya I Gede Maryun , Paramitha A A Istri Ita , Putra I Gede Juliana Eka
Published: November 2024

Desa Tampaksiring merupakan desa wisata dengan keunikan alam dan budaya yang luar biasa. Desa Tampaksiring berada di Kabupaten Gianyar, Provinsi Bali. Desa Tampaksiring yang terkenal sebagai destinasi wisata yang berpotensi menghasilkan pendapatan desa tidak lepas dari keberadaan Sistem Informasi Desa. Sistem Informasi Desa ini dapat menyajikan berbagai informasi terkait informasi masyarakat yang ada di Desa. Dilihat dari perkembangan sumber daya manusia yang sangat pesat, Sistem Informasi Desa di Desa Tampaksiring saat ini belum maksimal karena data kependudukan belum sepenuhnya terekam dalam Sistem Informasi Desa, hal ini mengakibatkan administrasi sebagian warga desa sering terhambat karena data tersebut masih belum seluruhnya tercatat di SID. Tujuan penelitian ini adalah untuk meningkatkan pelayanan Desa secara online melalui pengembangan database Sistem Informasi Desa terkait pengolahan data kependudukan. Luaran dari penelitian ini adalah dibangunnya Sistem Informasi Desa Tampaksiring yang mampu memberikan informasi secara cepat dan akurat melalui openSID
PEMBERDAYAAN MANDIRI KADER DAN STRATEGI PROMOSI DIGITAL MARKETING THERAPIST “NATURAL RECOVERY POSTNATAL TREATMENT”
Authors: Yusnaini Yusnaini , Fithriany  , Cut Yuniwati  , Iin Fitraniar  , Kartinazahri  , Ampera Miko
Published: November 2024

Pasca melahirkan adalah periode yang penting dalam kehidupan seorang ibu. Pada masa ini, ibu memerlukan perawatan khusus untuk memulihkan kondisi fisik dan emosionalnya setelah melahirkan. Seiring dengan perkembangan zaman, semakin banyak ibu yang menyadari pentingnya perawatan pasca melahirkan yang komprehensif dan holistic. "Natural Recovery Postnatal Treatment" menjadi pilihan terbaik untuk membantu ibu dalam pemulihan pasca melahirkan secara alami dan menyeluruh. Kader harus dilatih dalam bidang perawatan pasca melahirkan, melalui pelatihan ini, mereka akan menjadi terapis yang kompeten dan dapat memberikan perawatan yang berkualitas kepada ibu-ibu pasca melahirkan. Dalam era digital saat ini, pemasaran melalui platform online dan media sosial telah menjadi sangat penting dan efektif. Dengan menggunakan strategi promosi digital marketing, produk atau layanan terkait perawatan pasca melahirkan dapat dipromosikan dengan lebih luas dan efisien kepada calon konsumen.  Kegiatan pengabdian masyarakat tentang Pemberdayaan mandiri kader dan strategi promosi digital marketing therapist “Natural Recovery Postnatal Treatment” telah dilaksanakan dengan sukses. Telah terjadi peningkatan pengetahuan kader dan kini memiliki keterampilan untuk memberikan layanan pasca melahirkan. Selain itu, para kader juga dibekali dengan strategi promosi digital marketing yang efektif untuk memasarkan layanan mereka. Melalui strategi ini, para kader dapat menjangkau lebih banyak ibu postpartum dan memberikan edukasi tentang pentingnya perawatan postnatal
International Collaboration Virtual Seminar 2023 : Digital Transformation with Aptikom & Founder Institute.
Authors: Tiawan Tiawan , Muhamad Soleh Fajari  , Mawarseh  , Retno Novarini  , Ahmad Karim Harahap  , Muhammad Taufik Syastra  , Akbar Khaerullah  , Rifky Kurniawan  , Elfina Maulid  , Yulia Irfayanti  , Sutrisno  , Elisabeth Kurnia Wijayanti
Published: November 2024

Transformasi digital telah menjadi pendorong utama perubahan di Indonesia, mengubah lanskap bisnis, organisasi, dan interaksi masyarakat dengan teknologi. Dengan pertumbuhan ekonomi yang pesat dan peningkatan konektivitas digital, Indonesia menyaksikan pergeseran signifikan dari ekonomi konvensional ke era digital. Inisiatif pemerintah, dukungan sektor swasta, dan adopsi teknologi oleh masyarakat membentuk landasan untuk percepatan transformasi digital di berbagai sektor. Peningkatan akses internet dan penetrasi perangkat digital membuka peluang bagi inovasi dan kolaborasi lintas sektor. Organisasi bisnis, dari skala besar hingga UMKM dan Startup, terus mencari cara untuk memanfaatkan teknologi digital guna meningkatkan efisiensi operasional dan beradaptasi dengan perubahan tren konsumen. Namun, seiring dengan peluang, muncul pula tantangan seperti keamanan informasi, kesenjangan digital, dan kerangka regulasi yang perlu dikelola secara hati-hati. Melalui kerjasama antara pemerintah, sektor bisnis, dan masyarakat, Indonesia berada pada tahap penting dalam membentuk fondasi digital yang kokoh. Abstrak ini merangkum dinamika transformasi digital di Indonesia, menggambarkan perjalanan negara ini dalam memahami dan merespon perubahan teknologi untuk mencapai potensi penuhnya di era digital dalam  sharing bersama Founder Institute
Strategi Perluasan Pasar dan Pengelolaan Keuangan Industri Rumah Tangga Jaje Banten di Desa Sulangai, Petang – Badung
Authors: Idawati Ida Ayu Agung , N. Paramananda N. Paramananda , Narindra A.A Ngrh Mayun
Published: November 2024

Kegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk meningkatkan kapasitas produksi dan pemasaran produk jajanan tradisional Ibu Desak Nyoman Wangi di Desa Sulangai, Petang-Badung. Mitra mengalami kendala dalam produksi, pemasaran dan pengelolaan keuangan. Kegiatan PKM difokuskan pada peningkatkan kapasitas produksi melalui penyediaan peralatan dan pelatihan, desain kemasan produk serta pemanfaatan media social untuk pemasaran. Metode yang digunakan meliputi diskusi kelompok, pelatihan dan penyuluhan. Hasil evaluasi menunjukkan peningkatan signifikan pemahaman mitra terhadap materi yang disampaikan. Setelah kegiatan PKM, mitra mampu meningkatkan produksi, membuat kemasan produk yang menarik dan memanfaatkan media social untuk pemasaran. Selain itu, mitra juga telah mampu membuat pembukuan sederhana untuk mengelola keuangan usahanya
Pemberdayaan Kemitraan Masyarakat dalam Peningkatan Keberlanjutan Usaha dengan Digitalisasi pada kelompok pembudidaya Ikan
Authors: Sutapa I Nyoman , N. Paramananda N. Paramananda , Widhiyanti Anak Agung Sandatya
Published: November 2024

Pemberdayaan Kemitraan Masyarakat (PKM) yang dilaksanakan di kelompok pembudidaya ikan Mina Arsa bertujuan untuk meningkatkan kapasitas mitra dalam tiga bidang utama: akuntansi, manajemen, dan sistem informasi. Kegiatan ini meliputi penyuluhan mengenai pencatatan biaya inovasi, strategi pemasaran digital, dan pengembangan website sebagai media informasi. Mitra menunjukkan keterlibatan yang sangat baik, dengan antusiasme dan partisipasi aktif dalam diskusi serta sesi tanya jawab yang mendukung pencapaian hasil program. Evaluasi menunjukkan peningkatan signifikan dalam pemahaman mitra mengenai topik yang dibahas. Penerapan materi yang diberikan berhasil mengatasi berbagai permasalahan yang dihadapi, dengan kemajuan positif dalam implementasi sistem pencatatan biaya, strategi pemasaran digital, dan pengembangan website. Program ini berhasil meningkatkan kapasitas mitra secara keseluruhan. Meskipun demikian, terdapat beberapa kendala dalam penerapan sistem dan keterbatasan sumber daya, menunjukkan perlunya dukungan dan pemantauan berkelanjutan. Disarankan untuk melanjutkan pelatihan lanjutan, meningkatkan mekanisme pemantauan, dan mengeksplorasi peluang ekspansi program ke kelompok lain yang memerlukan bantuan serupa.