bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Associated with Chronic Energy Deficiency (CED) in Pregnant Women: A Study in North Gorontalo Regency, 2023
Authors: Nasaru Jumriyanti , Sutiningsih Dwi , Setiani Onny , Sakundarno Adi Mateus , Agushybana Farid
Published: November 2024

The purpose of this study was to determine the factors associated with the incidence of chronic energy deficiency (CED) in pregnant women in North Gorontalo Regency in 2023. The sample for this study was selected using a random sampling method, resulting in 115 respondents from the Ilangata Health Center area, 80 respondents from the Monano Health Center area, and 55 respondents from the Molingkapoto Health Center area. The independent variables in this study included the age of the pregnant women, maternal occupation, parity, infectious diseases, economic status, and energy and protein intake, as well as the impact of local Supplementary Feeding (PMT) programs. The results showed that the majority of respondents had insufficient energy intake but adequate protein intake. Most did not experience infectious diseases, had a monthly income of more than Rp. 2,000,000, had no children, had a height of over 145 cm, and gained 6 kg during pregnancy. Additionally, they infrequently used health insurance, lived far from the health center, and experienced chronic energy deficiency.
Achievement Acceleration of Stunting Reduction Indicators in Families with Stunting
Authors: Zahtamal  , Wardhana Nabillah Nastiti , Wahyuni Sri , Restila Ridha
Published: November 2024

Stunting rates remain high in several sub-districts designated as stunting loci in Pekanbaru. The aim of this study is to reveal the indicators for accelerating the reduction of stunting in families affected by stunting at the three locations with the highest prevalence of stunting cases and designated as stunting intervention loci. This was descriptive research with quantitative data, and the sample size was 75 families with stunting. The variables studied included mothers experiencing chronic energy deficiency during pregnancy who received a supplemental feeding program, mothers taking iron supplements during pregnancy, exclusive breastfeeding, complementary feeding to breast milk, regular monitoring of growth and development at Posyandu, immunization, and participation in family planning programs include: The results of this study indicated that 25.3% of mothers experienced chronic energy deficiency during pregnancy, with only 21% receiving supplementary feeding programs; 80% of mothers took iron supplements during pregnancy; 78.7% of stunted children were exclusively breastfed; 80% were introduced to complementary feeding; 76% were taken to integrated health posts for regular growth and development monitoring; only 57.3% received complete immunizations; 60% of families participated in family planning programs; and 40% of stunted children resulted from unwanted pregnancies.. The results of the study found that many indicators for accelerating the reduction of stunting in the stunting intervention loci in Pekanbaru City had not yet met the target.
Factors associated with the Physical Fitness of Lactating Mothers in an Urban Area
Authors: Lisnawati Naintina , Pangestuti Dina Rahayuning , Asna Alfi Fairuz , Rahfiludin Mohammad Zen , Joko Tri
Published: November 2024

An urban area is characterized by increased sedentary lifestyle (SL) and reduced physical fitness (PF) among various populations, including lactating mothers. Adequate physical fitness is essential for lactating mothers to support breastmilk production during the lactating period. This study used an observational method with a cross-sectional design that aims to analyze factors associated with physical fitness among lactating mothers in an urban area. This study included 61 lactating mothers selected through systematic random sampling in Magelang City. Physical fitness status was assessed by a six-minute walk test. Trained enumerators collected data using validated instruments for each variable. Data were analyzed using Chisquare and Fisher’s exact tests. The results showed that most subjects had moderate PF (68.3%), while only 34.9% engaged in vigorous physical activity. In addition, only 3.2% of subjects were well-hydrated, and a significant portion had inadequate calcium (76.2%) and iron (61.9%) intake. However, no significant correlation was found between physical activity, nutritional intake (total energy, calcium, and iron), hydration status, and physical fitness among the lactating mothers (p > 0.05). Therefore, future research should consider incorporating additional variables such as biochemistry and environmental factors.
Factors Associated with Good Birth Preparedness and Complication Readiness among Pregnant Women in Malang District, Indonesia
Authors: Betty Roosihermiatie , Oktarina Oktarina , Tien Afifah
Published: November 2024

Indonesia has a high maternal mortality rate, despite the prevalence of antenatal care and delivery assistance by competent birth attendants. This study aims to identify factors associated with good Birth Preparedness and Complication Readiness (BPACR) among pregnant women in Malang District. An observational study with a cross-sectional design was conducted, involving 60 pregnant women. Factors examined include socioeconomics, cultural beliefs, obstetric characteristics, and knowledge of BPACR. The participants had a mean age of 26.3 years and a mean gestational age of 26.4 weeks; 51.5% were in their second pregnancy, 53.3% had completed high school or higher education, and 83.3% were housewives. Additionally, 50% reported cultural beliefs or prohibitions against certain activities that could impede labor, while 51.7% adhered to food taboos perceived to affect labor. Of the participants, 91.7% had a Maternal and Child Health (MCH) handbook, 31.7% had read the entire handbook, and 21.7% were aware of at least two danger signs during pregnancy, childbirth, and the postpartum period. Good BPACR was defined as meeting at least three of four criteria, namely identifying a competent birth attendant, choosing a health facility for delivery, saving funds, and arranging transport. Reading the entire MCH handbook (aOR: 7.225) and holding certain cultural beliefs or prohibitions (aOR: 6.359) were significantly associated with good BPACR. These beliefs reflect a positive attitude toward recognizing obstetric danger signs.
Association between Climate, Socio-Economic, and Environmental Factors to Diarrhea in West Nusa Tenggara, Indonesia
Authors: Azhar Khadijah , Dharmayanti Ika , Tjandrarini Dwi Hapsari , Titaley Christian R. , Wispriyono Bambang
Published: November 2024

Diarrhea is a significant health problem in Indonesia, particularly in developing regions where the disease is endemic. A substantial number of its cases arise from the contamination of food and water sources. The study focused on West Nusa Tenggara Province, which had a high prevalence rate of diarrhea. It aimed to examine the influence of climate, environmental factors, and regional attributes on diarrhea.The study results can be used to develop region-specific strategies to reduce outbreaks. An ecological method was adopted and data from 10 districts/cities were analyzed. Negative binomial regression was used to evaluate the relationship between monthly diarrhea cases from 2017 to 2020 and climate variables, access to water-sanitatio-nhygiene (WASH), population density, and well-being indices over the same period. The results showed that rising temperatures increased the number of cases (IRR: 1.095; 95%CI: 1.043-1.149), while relative humidity served as a protective variable. Limited access to drinking water and sanitation increased the risk of diarrhea (IRR: 1,082; 95% IC: 1,056-1,110). Higher temperatures often led to drought, complicating access to safe water sources. Therefore, there was an urgent need for enhanced development of accessible WASH infrastructure, particularly for underserved communities.
Spatial Analysis of Drought Vulnerability Related to Climate Change and Under Five Children’s Nutritional Status
Authors: Wijayanti Punik Mumpuni , Latifah Leny , Purwoko Sidiq , Riyanto Slamet , Yunitawati Diah , Setyaji Teguh
Published: November 2024

Drought vulnerability which more prevalent due to climate change reduce public health quality. This research aims to map areas that are vulnerable to drought and correlate them with under five children nutritional status. This was a cross-sectional study using spatial analysis in Borobudur District. Drought vulnerabilities were overlayed using three drought-prone indicators of Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST). The spatial analysis found 8 villages (40%) had high, 6 villages (30%) had medium, and 6 villages (30%) had low drought vulnerability. Stunting prevalence derived from the routine community-based nutritional surveillance of the Magelang District Health Office. Analysis of Variance (ANOVA) were used to assess the risk of stunting among different level of spatial indicators related to drought. The average prevalence of stunting was higher in the areas with high (12.57%), compared to medium (8.93%), and low (8.73%) drought vulnerability, but not statistically significant (F=1.763; p>0.05). Stunting was significantly related to water availability (NDWI). A lower NDWI index increased the risk of stunting in children (F=4.620; p<0.05). NDWI spatial analysis can be used as a reference to support preventive efforts to mitigate drought and the nutritional status of children in rural areas.
Early Detection for Determinant Factor of National Health Insurance Membership for Workers in Central Java Using C4.5 Algorithm
Authors: Aprianti Aprianti , Sifai Izzatul Alifah , Nurjanah Nurjanah , Ratna Wulan Widya , Ratnawati Juli , Ahsan Abdillah
Published: November 2024

Central Java Province has a membership coverage rate below national coverage. Several data sources up to October 2023 show that NHI participation coverage in Central Java is 93.13%, with 72.72% active participants. The highest type of participation is Contribution Assistance Recipients. A survey of 451 tobacco workers in Central Java found that 55.2% did not have health insurance. This research aims to apply the C4.5 algorithm for the early detection of determinant factors of national health insurance membership for workers in Central Java. Research was done in Central Java districts: Semarang City, Semarang Regency, Jepara Regency, and Kendal Regency. These four districts were chosen because they have the largest workforce in Central Java Province. The total sample was 400, with 100 respondents taken from each city/district. The sampling technique was cluster sampling; two sub-districts were taken from each district—data analysis using the Data Mining 4.5 algorithm. The results show that employment status is the most influential factor in determining someone to become an NHI participant, where fishermen are the group of workers most predicted not to become NHI participants with a gain value of 0.3887. Measurement using RapidMiner software proves that the C4.5 algorithm has an accuracy of 88.93%. At the same time, the AUC curve has a value of 0.941, which, according to Gorunescu, is included in the Superior Classification. The program is expected to prioritize fishermen groups as members of the NHI program.
Ocean Literacy, Climate Change and Health in Coastal Living Environments: A Scoping Review and Bibliometric Analysis (ScoRBA)
Authors: Husna Jazimatul , Wijaya Adi , Ibrahim Imilia , Jati Oktavianto Eko , Lisnawati Naintina , Maghfiroh Alvina , Noer’aida
Published: November 2024

This study examines the complex relationships between ocean literacy, climate change, and health in coastal living environments through a scoping review and bibliometric analysis (ScoRBA). Based on the PAGER framework, the research identifies four key themes: frameworks for coastal sustainability, connections betweenoceans and coastal areas, challenges to human health and well-being, and ocean literacy for conservation education and adaptation. A bibliometric analysis of 206 articles published between 2014 and 2023 showed a significant increase in research linking ocean literacy with climate change adaptation and coastal public health. Given the accelerating climate impacts on coastal environments and public health risks, urgent action integrates ocean literacy into adaptation strategies. Delays may cause irreversible damage to ecosystems and human health. The key findings of the current research highlight the importance of integrating marine environment management with human well-being, aligning with the Sustainable Development Goals (SDGs). The study underscores the need for standardized metrics to assess the impact of ocean literacy on climate change adaptation and public health outcomes, as well as the significance of participatory approaches in coastal ecosystem management. The research implicates the necessity for climate change adaptation strategies that explicitly consider public health and the development of ocean literacy programs to enhance understanding of the interconnections between climate change and human health. Future research should focus on developing standardized tools to assess the impact of ecosystem services on coastal community resilience and explore tailoring ocean literacy programs to support climate adaptation and coastal health.
The Tradition of Mass Homecoming in Indonesia during the COVID-19 Outbreak
Authors: Budiyono Budiyono , Suhartono Suhartono , Nandini Nurhasmadiar
Published: November 2024

One of the traditions in Indonesia during Eid al-Fitr is traveling back to their hometown despite the COVID-19 pandemic in 2020. This study aimed to analyze the mass homecoming activities and their potential impact on the transmission and spread of COVID-19. Secondary data were mainly obtained from the Central Java Provincial Health Service and the Transportation Service. This study was quantitative research with a time series design. It only addressed the COVID-19 cases and the travelers entered Central Java Province. Data were analyzed using chi-square. The research results showed that mass homecoming was an extreme trend during the outbreak even though the government launched a prohibition order. Homecoming was indicated resulting in a low risk of transmitting COVID-19. There was a difference in people who used combined transportations before and after the appeal of homecoming restriction. The percentage of COVID-19 cases attributed to the homecoming activities was 0.008%. The number of patients under surveillance attributed to homecoming activities was higher by 0.039%. Therefore, the government needs to continue monitoring and implementing strategies to anticipate bigger risks of homecoming during the COVID-19 period.
Dengue Hemorrhagic Fever in Jepara, Indonesia: Ecological and spatial study based on Environment Parameters
Authors: Salsabila Zidny , Martini Martini , Wurjanto Muhammad Arie , Hestiningsih Retno , Yuliawati Sri
Published: November 2024

Kedung Village in Jepara Regency stands as one of the areas with the 3rd highest Incidence Rate of Dengue Hemorrhagic Fever (DHF). Contributing factors to the surge in DHF cases include physical environment factors, population density, and vector breeding sites. Despite persistent efforts to control and prevent dengue cases, these endeavors have proven ineffective. The study aimed to comprehensively analyze the physical environment and distribution of DHF cases in Jepara District, Indonesia. This descriptive observational research, focusing on an ecological study, examined a sample of 38 cases in 2020 from one village. The analysis revealed crucial findings: the average temperature ranged from 27-29°C, humidity ranged from 76-88%, and the highest rainfall intensity was 1,301 mm, with the peak occurring in February. The distribution pattern of DHF cases was notably random, with an average distance of 442.63 meters. Moreover, a staggering 92.9% of areas did not meet the Larvafree Index standard, indicating a high risk of transmitting dengue disease, as the House Index (HI) exceeded 5%. Temperature, rainfall, and humidity demonstrated significant correlations with DHF cases in Kedung Village, while no correlation was found between HI and DHF cases
Development of Aedes spp Larvae in Media with Various pH and Salinity: Study on Experiment Approach in Laboratory
Authors: Umeisyaroh Dwi , Martini Martini , Udijono Ari , Hestiningsih Retno , Susanto Henry Setiawan , Yuliawati Sri
Published: November 2024

The development of Aedes spp, a type of mosquito, is closely tied to the water. They can adapt to different aquatic environments regardless of their characteristics. Understanding the traits of Aedes spp and the environmental factors that affect them is crucial for vector control. This study aimed to examine the impact of water acidity and salinity on the development of pre-imago Aedes spp. The observed developments included hatchability of eggs, ability to change from larvae to pupa (ecdysis), transformation from pupa to imago (explosion), and the longevity of the preimago stage. The research followed an experimental approach with a posttest only control group. Mosquito eggs obtained from Semarang Port Health Office Laboratory Semarang were used as research subjects. Data analysis was conducted using the Kruskal-Wallis test followed by the Mann-Whitney test. The tests for pre-imago development were carried out at different average acidity levels (5.2, 6.6, 7.2, 7.4, 8.5, and 9.3) and average salinity levels (0‰, 2‰, 4‰, 6‰, 8‰, 10‰), with four replications. The analysis revealed that there were no significant differences in the development of preimago Aedes spp under various water acidity conditions (egg hatchability pvalue = 0.736, ecdysis p-value = 0.814, explosion p-value = 0.591, longevity p-value = 0.227). However, the salinity analysis indicated different developments in pre-imago Aedes spp under varying salinity conditions (egg hatchability p-value = 0.006, ecdysis p-value = 0.001, explosion p-value = 0.001, longevity p-value = 0.003).
Estimating the Costs of PrEP (Pre-Exposure Prophylaxis) HIV among Men who Have Sex with Men (MSM) Population as Advanced Preventive Strategies: The Societal Perspective
Authors: Belawati Yeny Ristaning , Febrinasari Ratih Puspita , Widyaningsih Vitri , Probandari Ari
Published: November 2024

Men who have sex with men (MSM) are the key population that dominates the new HIV incidence rate in Indonesia. WHO recommends the use of Pre-Exposure Prophylaxis (PrEP) HIV as an advanced preventive strategy. This study aimed to estimate the total cost of PrEP in one year from a societal perspective. Observational research with a retrospective approach was conducted on the MSM population in Solo Raya, Central Java, Indonesia. Data were collected through a questionnaire to get direct nonmedical and indirect cost data. Direct medical costs were estimated from the tariff regulations. The result showed that, from 50 MSM, the mean age was 26.78 years, 10% had comorbidity, 26% had a sexually transmitted infection (STI) history and 72% had high-risk sexual behavior. The average estimated cost of a PrEP per person was $328.44. Direct medical costs were the biggest proportion of the total estimated cost. From the sensitivity analysis, the total estimated cost was the most sensitive to risk factor parameters. The risk factors, which include STI history and high-risk sexual behavior, have the greatest influence on the total cost because of the increased number of visits. PrEP implementation must involve other promotional and preventive strategies to reduce risk factors.
Smoking and Obesity Paradox in North Sulawesi, Indonesia: A Cross-Sectional Study of Males Adult
Authors: Meiyetriani Eflita , Utomo Budi , Su’udi Amir
Published: November 2024

Smoking and obesity are major global public health concerns, each linked to various adverse health effects. This study aims to explore the complex relationship between smoking and obesity among adult males in North Sulawesi Province, Indonesia. Using data from the 2018 Indonesia Basic Health Survey, we conducted a cross-sectional study involving 4,994 male participants aged 18 years and older. Smoking status was classified as regular, irregular, or former smokers based on the subjects’ habits in the previous month. Multinomial logistic regression, analysis of variance, and chi-square tests were applied to examine the association between smoking and obesity. The results showed that ex-smokers had a higher likelihood of obesity compared to current smokers, with an adjusted relative risk ratio (RRR) of 1.63 (95% CI: 1.18–2.24). Irregular smokers were also more likely to be obese than regular smokers, with an adjusted RRR of 1.42 (95% CI: 1.11–1.88). However, no statistically significant association was found between smoking and being overweight. A positive association was observed between smoking and obesity, indicating that former smokers may face an increased risk of becoming obese.
Taking into account balance reliability in Planning of power system development
Authors: Chukreyev Iurii , Chukreyev Mikhail
Published: November 2024

The article deals with the peculiarities of the methodology for determining balance reliability indicators and its synthesis given in the new edition of the methodological guidelines for designing the development of power systems of Russia. The analysis of power and electric power balances and the results of balance reliability indicators estimation given in the Scheme and Program of UPS of Russia for 2024-2029 is carried out. It is concluded that the decisions on substantiation of the required generating capacity to ensure balance reliability do not correspond to the new methodological guidelines.
Assessment of the level of energy security in the regions of the northwestern federal district under emergency conditions in the gas industry
Authors: Smirnova Elena
Published: November 2024

The article presents an assessment of the level of energy security using the example of the subjects of the Russian Federation located in the territory of the Northwestern Federal District. The approach to the assessment is based on the use of the apparatus for monitoring and indicative analysis of energy security (ES), developed in the ISEM SB RAS. An assessment of the level of ES in the regions is carried out based on modeling the situation with the cessation of operation of the most important facilities of the gas industry, and an analysis of the dynamics, scale and trends in the change in the state of the level of ES when modeling the situation using peak UGS facilities provided for by the General Scheme for the Development of the Gas Industry for the Period up to 2030, for the analyzed subjects of the Russian Federation.
Use and Failure Cause Analysis of Gas-Turbine Units at Distributed Generation Facilities
Authors: Ilyushin Pavel , Shavlovskiy Sergey
Published: November 2024

Distributed generation (DG) facilities commonly use gas-turbine units (GTU) varying in design and power. High manufacturing quality, reliability, efficiency, and low environmental impact are among the factors driving their popularity. This paper analyzes GTU reliability metrics and overviews the factors that may affect reliability of the units in use. It discusses the GTU design considerations that shall be borne in mind while engineering DG facilities and emergency automation devices. The paper further analyzes the recorded use GTUs at existing DG facilities from the perspective of the main causes and consequences of their failure.
Application of static thyristor compensators to increase the reliability of distribution networks
Authors: Akhmetbaev Dauren , Akhmetbaev Arman
Published: November 2024

Currently, the use of FACTS devices for voltage regulation and optimal control of electric power system modes is widely used. Controlled FACTS devices, based on power electronics, allow obtaining the desired characteristic of not only power transmission, but also a dedicated part of the electrical system. The paper presents the results of a study of the operating modes of a real distribution network, taking into account the installation of a static thyristor compensator (STC), in order to increase its operating reliability. The efficiency of distribution networks in and the area of existence of modes significantly depend on the installation location and the law of power control of compensating devices. To solve this problem, a systems approach based on graph theory methods is proposed. The conditions for stabilizing nodal voltages to reduce total active power losses in the electrical network are studied. The ranges of change in the required powers with the corresponding STC control laws are determined to ensure a minimum of total power loss in the network
Placement of controlled shunt reactors in 330 kV electrical networks and study of their operating modes
Authors: Hashimov Arif , Guliyev Huseyngulu , Babayeva Aytek
Published: November 2024

The improvement of the method for selecting shunt reactors based on instantaneous power in order to eliminate a surplus of reactive power created by the charging capacities of power transmission lines in 330-500 kV elelctrical networks of the power system is considered. Based on the proposed method, the performance of controlled shunt reactors located in priority 330 kV nodes of a real power system is superficially described and their operating modes are studied. As a result of the study, in accordance with changes in the modes of shunt reactors in real time, the voltage in the 330 kV buses is maintained in a stable and acceptable range, as well as the increase in the voltage stability of the power system.
Determination of optimal dimensions of hybrid AC/DC distributed generation system with renewable sources for autonomous power supply of remote locations
Authors: Rahmanov Nariman , Guliyev Huseyngulu , İbtahimov Famil , Mammadov Zaur
Published: November 2024

In this paper, an autonomous hybrid power system with direct voltage and alternating voltage busbars with connected renewable sources and traditional sources that support renewable sources in the demand coverage during periods of power shortage in the system is proposed for power supply of remote locations. The issues of synthesis of the optimal structure of an autonomous system consisting of PV and WT generators with an integrated system of electric energy batteries (EEB) and diesel- generator station, at which the high reliability of power supply in remote areas is provided, are being studied. To optimally determine the installed capacity of the elements of the PV–WT–EEB–DG hybrid system, a machine learning algorithm (TLBO) is proposed, by means of which, based on the proposed multi-objective function, the most advantageous values of unit powers for PV and WT stations are determined, as well as the number of batteries and diesel generators that ensure the demand coverage in the hybrid system under various options for PV and WT generation shortage.In order to improve the efficiency of solving the optimization problem taking into account the variability of meteorological conditions, manifested in random and uncertain variability of PV and WT generation, as well as in the stochastic nature of the electricity consumption process, the studies on clustering these processes and determining typical scenarios for an array of hourly measurements of PV, WT and load generation during the year were carried out in the paper. Using the k–means approach, the numbers of clusters for PV, WT and load for typical geographic regions are determined. The results of the analysis of the optimal compositions of the hybrid AC-DS system in the PV, WT, BEE, DG in these regions are presented.
Improving the reliability of the power system in postfault condition
Authors: Solovyev Ivan , Motovilov Alexey , Hvijuzov Mikhail , Emelyanov Alexander
Published: November 2024

Priority tasks in electric power transmission are: the reliability of power supply to consumers and the efficiency of energy resources use. In postfault steady-state heavy modes of power system operation, these tasks are mainly solved by supervisory control. In order to improve the reliability of power supply, the authors propose an algorithm for assessing the weight of emergency actions, carried out by the power grid manager in postfault conditions. During them the power grid manager redistributes power flows in the electric grid. The application of the suggested algorithm allows to reduce the time for the manager to make a proper decision and choose the correct actions sequence. Methods, used to solve the problem: the theory of multifactorial experiment, methods of mathematical modelling, software “RastrWin3” and “SPSS Statistics”. The regression function is used to simulate the process of changing the load current in the power grid elements. The suggested algorithm can be used in the practice of managing power system modes, by research organizations to improve the characteristics of modes and to develop power grids and power systems. The proposed algorithm complements existing methods for ensuring the reliability of an electrical power system and allows increasing their efficiency.
Practical experience in monitoring low-frequency oscillations at electric power station of United Power System of Russia
Authors: Govorun Mikhail , Zhukov Andrey , Satsuk Evgeniy , Dubinin Dmitriy , Karimov Nikita
Published: November 2024

The development of the Wide Area Measurement System (WAMS) in the United Power System of Russia has provided the opportunity to use phasor measurement unit (PMU) data to solve practical problems in operational dispatch management [1]. One of the most significant tasks is monitoring low-frequency oscillations (LFOs) to prevent and eliminate violations of the normal operating mode in the energy system of Russia [2]. Long-term, weakly damped, high-amplitude oscillations can lead to oscillatory instability in the power system, causing massive generation and load shutdowns, separation of the system into isolated parts, and cascading technological disruptions. Based on PMU technology, a powerful tool for monitoring low-frequency oscillations and identifying their parameters and sources in real-time has been developed and integrated into the control rooms of the System Operator. This article presents the fundamental principles of this monitoring system and describes the algorithms used to identify the sources of low-frequency oscillations. It also provides practical examples of low-frequency oscillation monitoring at power plants carried out by specialists from the System Operator.
Experience in implementing the algorithm for emergency control system of unloading in case of overload in terms of power based on synchrophasor angle
Authors: Govorun Mikhail , Satsuk Evgeniy , Luzhkovskiy Yuriy , Dubinin Dmitriy , Titov Sergey , Khokhrin Aleksandr
Published: November 2024

An algorithm for automatic unloading during a power overload is described. It is based on measurement of the phase angle between voltages on the Tyumen - Ural power transmission line, which is determined by information from phasor measurement units. The algorithm is implemented in a specialized controller K-100.
Monitoring of medium voltage distribution networks by balance smart meters
Authors: Golub Irina , Voitov Oleg , Boloev Evgeny , Buchinsky Anatoly
Published: November 2024

This study addresses the issue of monitoring the unbalanced load flow of power distribution networks. To that end, instead of relying on medium voltage meters, we make use of balance smart meters installed on the low-voltage side of distribution transformers. We use a mathematical model of such transformers for real-time calculation of the powers and voltages on the medium voltage side.
Optimization of Data Processing Schemes for Locating Low-Frequency Oscillation Sources
Authors: Butin Kirill , Popov Aleksandr , Rodionov Andrey
Published: November 2024

The organization of data processing for measurement data arrays is one of the key factors for the effective application of synchronized phasor measurement technology (PMU) within a Wide Area Monitoring System (WAMS). This encompasses not only ensuring high computational performance and scalability but also the openness of solutions to the continually evolving data analysis methodologies. In both the scientific community and current operational-dispatching practice, there is a growing interest in the issue of power system oscillatory stability. This interest is driven by the increasing complexity of modern power systems and enhanced observability of processes due to the deployment of WAMS. One of the emerging tasks is the real-time detection of low-frequency oscillation (LFO) sources using PMU data. The dissipating energy flow (DEF) method has shown high effectiveness in addressing this task by enabling the assessment of the magnitude, speed, and direction of oscillation energy propagation. It has been previously demonstrated that, while maintaining the general computational framework of the DEF method, the time required to reach a stable decision about the LFO source depends on the choice of the combination of subtask algorithms and their parameters. This study discusses a prototype computational platform for optimizing generalized data processing schemes based on PMU data. Using the DEF method and a dataset of actual LFOs in the Russian power system as an example, the study explores mechanisms for expanding the solution space and the measurement data base. The paper presents experimental results that provide an estimation of the expected time from the onset of oscillations to the identification of their source.
Research on damage warning based on cointegration theory
Authors: Liu Yue , Zhang Chunguang , Gao Qiang , Wang Youfu , Huo Junzhou
Published: November 2024

In practical engineering applications, structural fracture failure is caused by slow plastic deformation due to excessive structural stress under large static load.The accurate monitoring and early warning of the structural damage can effectively ensure the efficient service of the structure before the complete fracture of the structure. In this paper, an early-warning method of structural damage based on cointegration theory is proposed. The strain of key positions in structural parts is monitored under the tensile action of large loads, and the damage is judged by the change of the cointegration relationship between strains. Finally, the effectiveness of this method is verified, and the effective monitoring of structural damage is realized through fracture early warning.
Analysis of Damage in a Warren Truss Bridge Using CAE and DANN Neural Networks
Authors: Pacheco Micaela , Gutierrez Oliver , Casas Joan , Delgadillo Rick
Published: November 2024

Bridges require constant monitoring to detect damages. This study analyzes the Japanese Warren truss bridge using neural networks: Convolutional Autoencoder (CAE) and Domain-Adversarial Neural Network (DANN). The methodology focuses on two aspects: reconstruction of bridge acceleration data with CAE and damage analysis with DANN using CAE-processed data. CAE is trained to reconstruct acceleration data by recovering missing data and generating new data to improve dataset quality. Then, DANN uses this data to identify and evaluate anomalies in the bridge structure. The results obtained were 84% accuracy with respect to the synthetic data generated with the CAE network and 95% accuracy and an F1-score of 92% in the damage analysis of the bridge with the DANN network.
A Novel Rainwater Harvesting System for Mindoro, Philippines
Authors: De Jesus Lestyn Lyle B. , Espeleta Emerson Gabriel M. , Arellano Jeriah Gabriel R. , Marcos Christ John L.
Published: November 2024

This study proposes an innovative aqueduct system that revolutionizes water sustainability for Mindoro by analyzing rainwater patterns. The system focuses on addressing water scarcity through rainwater harvesting while integrating technical, social, and economic aspects to promote sustainable practices. It supports Philippine Republic Act 6716, aiming to enhance water management, community involvement, and environmental responsibility. The study offers valuable lessons for similarly affected regions.
The Micro Modular Reactors MMR®
Authors: DeSalvo Riccardo
Published: November 2024

The Micro Modular Reactor (MMR) represents a new paradigm of Ultra Safe Nuclear power with intrinsic safety. The safety starts from its revolutionary ceramic fuel, that cannot melt and makes it impossible to release radioactive elements in the environment. The elimination of water as a heat transport fluid eliminates the possibility of chemical explosions. Uranium 238, that absorbs more neutrons at higher temperatures shuts down the chain reaction without damage even in case of coolant loss at full power. These characteristics make MMR ideal to provide heat process directly inside factories, to replace natural gas, and to provide power to small communities.
Evaluating the need for magnesium administration following cardioplegic arrest with del Nido cardioplegia solution
Authors: Whittaker Striker Carrie , Reagor James
Published: November 2024

Background: del Nido cardioplegia (dNC) solution is widely used in pediatric and congenital cardiac surgery. In 2014, Cincinnati Children’s Hospital Medical Center (CCHMC) changed from Mee cardioplegic solution to dNC. Since Mee solution does not contain magnesium, magnesium was administrated post cross-clamp removal, at a dose of 25mg/kg up to 1g, to abate hypomagnesemia. This practice remained in place with the use of dNC. We postulated that patients may experience hypermagnesemia under this protocol, possibly resulting in deleterious effects such as dysrhythmias and/or hypotension. Methods: To determine if exogenous magnesium is necessary post-clamp removal in our practice, a study examining magnesium levels during cardiopulmonary bypass (CPB) was completed from January 2022 through October 2023 (IRB #2021-0816). One hundred patients undergoing CPB with cross-clamp, ranging from infants to adults, were consented. Two magnesium samples were collected. Draw 1 (D1) was collected post cardioplegia administration and 30 minutes prior to cross-clamp removal. Draw 2 (D2) was collected post cross-clamp removal and 10 +/- 2 minutes following magnesium administration. Results: Both samples demonstrated magnesium levels >1.6mg/dl or higher (normal magnesium range at CCHMC, 1.6-2.6mg/dl). A Wilcoxon rank sum test demonstrated statistical significance for D1, comparing the number of samples which fell above 2.6 mg/dl vs. those that fell within the normal range (p<0.001). D2 demonstrated values above normal range for all but one sample, which does not satisfy the criteria of the Wilcoxon rank sum test for demonstrating significance (p=0.089); however, ninety-nine samples displayed hypermagnesemia. Conclusion: This study demonstrates that exogenous magnesium administration may not be necessary in the setting of our practice at CCHMC and dNC cardioplegic arrest.
Efficient Synthesis of Benzoselenazoles and Benzothiazoles by an Ullmann Coupling of Dihalobenzenes with Acyl Iso(seleno/thio) cyanate–Malononitrile Adducts
Authors: Nematpour Manijeh
Published: November 2024

We describe a simple and efficient method for the synthesis of various benzoselenazoles and benzothiazoles by the Ullman coupling reaction of dihalobenzenes with acyl iso(seleno/thio)cyanate–malononitrile adducts in the presence of a copper catalyst with K2CO3 as a base at room temperature, without the help of additional ligands. Notable features of this protocol include the use of mild copper-catalyzed reaction conditions, simple and readily available raw materials, easy purification with the help of a solvent, and the synthesis of 17 new benzoselenazole and benzothiazole compounds.
Kommentar: Vorhaltefinanzierung und Versorgungsqualität – Zielkonflikt
Authors: Ulrich Moritz , Anschlag Marc
Published: November 2024

Die mit der Reform der Krankenhausfinanzierung geplante Einführung von sogenannten. „Vorhaltepauschalen“ sollen die Vorhaltekosten des Krankenhauses finanzieren, unabhängig von konkret erbrachten Behandlungsleistungen. Gleichzeitig soll aber auch die Versorgungsqualität erhöht werden.
Campusnetze: Privates 5G-Funknetz als Digitalisierungsturbo
Authors: Marquardt Michael , Giehrl Marcus
Published: November 2024

Ein wichtiger Baustein der Digitalisierung von Krankenhäusern sind schnelle, sichere und zuverlässige Drahtlos-Netzwerke. Privates 5G erfüllt in dieser Hinsicht höchste Anforderungen und eignet sich für eine Vielzahl von Anwendungsfällen.
Medizin in Kriegszeiten: Das oberste Ziel: Leben retten
Authors: Heeser Alexandra
Published: November 2024

Im Gazastreifen und in der Ukraine herrschen Krieg. In der Ukraine wurden fast alle medizinischen und humanitären Versorgungsstrukturen zerstört oder beschädigt. Auch Israel steht vor Herausforderungen. Wie kann medizinische Versorgung unter diesen Bedingungen funktionieren? Zwei Kriege, zwei Wege.
Alexianer: Fusion sichert psychiatrische Versorgung
Authors: Paulzen Michael
Published: November 2024

Anbieter psychiatrische Versorgung in Deutschland müssen sich flexibel an veränderte Rahmenbedingungen anpassen. Die Fusion zweier Fachkliniken innerhalb der Alexianer Aachen GmbH zeigt, wie Agilität und eine starke Marke helfen, die Versorgung auch in ländlichen Gebieten sicherzustellen.
Lichtblick: Ein Pass für mehr Selbstständigkeit
Authors: Hohnstein Aileen
Published: November 2024

Dieser Artikel ist nur als PDF-Dokument verfügbar.
Symmetry breaker governs synchrony patterns in neuronal inspired networks
Authors: Kumar Anil , dos Santos Edmilson Roque , Laurienti Paul J. , Bollt Erik
Published: November 2024

Experiments in the human brain reveal switching between different activity patterns and functional network organization over time. Recently, multilayer modeling has been employed across multiple neurobiological levels (from spiking networks to brain regions) to unveil novel insights into the emergence and time evolution of synchrony patterns. We consider two layers with the top layer directly coupled to the bottom layer. When isolated, the bottom layer would remain in a specific stable pattern. However, in the presence of the top layer, the network exhibits spatiotemporal switching. The top layer in combination with the inter-layer coupling acts as a symmetry breaker, governing the bottom layer and restricting the number of allowed symmetry-induced patterns. This structure allows us to demonstrate the existence and stability of pattern states on the bottom layer, but most remarkably, it enables a simple mechanism for switching between patterns based on the unique symmetry-breaking role of the governing layer. We demonstrate that the symmetry breaker prevents complete synchronization in the bottom layer, a situation that would not be desirable in a normal functioning brain. We illustrate our findings using two layers of Hindmarsh–Rose (HR) oscillators, employing the Master Stability function approach in small networks to investigate the switching between patterns.
Graph network heterogeneity predicts interplant wake losses
Authors: Scott Ryan , Hamilton Nicholas , Cal Raúl Bayoán
Published: November 2024

Wind plants generate large-scale wakes, which can affect the performance of neighboring installations. Such wakes are challenging to estimate due to the inherent complexity in modeling wake interactions between large quantities of turbines at various distances. Weighted directed graph networks can inform complex models by linking turbine pairs into chains of upstream and downstream neighbors for a given wind direction. A novel interpretation of the graph network adjacency matrix is proposed where each element of the matrix represents the cumulative impact of upstream turbines on an individual. In this study, wake losses were estimated with an engineering wake model across a range of inflow conditions for nine parametric variations of a system containing two neighboring wind plants. The parametric nature of the study isolates turbine spacing within the plant, separation distance between plants, and wind direction as the main drivers of wake losses. Spatial heterogeneity is computed from the weighted average adjacency matrix of each plant arrangement. The proposed method is orders of magnitude faster than wake modeling and does not require detailed turbine information or atmospheric conditions. The weighted average adjacency matrix provides insight on the spatial organization of wake losses at various scales. Plant heterogeneity is correlated with wake losses within and among plants. Framing wind plant wake interaction in terms of graph network spatial heterogeneity provides an efficient approach for predicting wake losses within and among neighboring wind plants with applications to other complex systems where wake interactions are key factor.
Evolutionary dynamics of stochastic games in set-structured populations
Authors: Gao Meng , Li Zhi , Wu Te
Published: November 2024

In structured populations, the ecology of games may vary over neighborhoods. The effect of the ecological variations on population dynamics remains largely unknown. We here incorporate the ecological variations into the set-structured populations to explore the coevolutionary dynamics of the ecology and cooperation. Individuals of a population are distributed over sets. Interactions occur in the form of evolutionary games. When two individuals share more common sets, they play the weak prisoner’s dilemma. Otherwise, they play the strong prisoner’s dilemma. Both the set memberships and the strategy update in the evolutionary process. Changes in set memberships hold sway over the games to be played, which, in turn, influences the performance of strategies. Combining evolutionary set theory and random walks on graphs, we derived the conditions for cooperation to be selected under the weak selection limit. We find that a denser set-structured population increases the probability of individuals participating in a weak prisoner’s dilemma, and thereby promoting the spread of cooperation. Properly modulating the population structure and the payoff feedback can further lower the critical benefit–cost ratio required for cooperation to be selected. Our results may help better understand the effects of ecological variations in enhancing cooperative behavior in set-structured populations.
Modeling the effect of superconductor properties on sensitivity and responsivity of superconducting nanowire single photon detector
Authors: Haldar Souvik , Sehrawat Arun , Balasubramanian Krishna B.
Published: November 2024

Superconducting nanowire single photon detector (SNSPD) is a leading candidate for applications requiring the fundamental limit of light detection at high detection rates. While SNSPD technology employing nanowires from conventional low temperature superconducting detectors is mature with several commercial solutions, other material options with higher transition temperature approaching liquid nitrogen with faster signal responses are actively being explored. In this context, we develop a comprehensive model that predicts the final potential response from an SNSPD incorporating several physical and material aspects. A phase diagram of photon detection is developed that describes the latching phases and the photon sensitivity as a function of biasing current and temperature for both low temperature and high temperature superconductors. On the one hand, while low temperature superconductors are observed to be more sensitive than high temperature superconductors (HTSs) under any given biasing condition, a biasing window for a single photon detection with HTS nanowires is identified. On the other hand, HTS nanowires demonstrate three orders of magnitude faster response times than the low temperature superconductor nanowire at the same biasing condition, making it uniquely suited for several practical applications.