Monitoring System Data Research Articles

Variable importance for projection (VIP) scores for analyzing the contribution of risk factors in severe adverse events to Xiyanping injection

BackgroundAge and herb-drug combination are risk factors for the severity of Xiyanping injection (XYP) associated adverse events (AEs).ObjectiveTo analyze risk factors contributing to the severity of XYP’s AEs using a variable importance for projection (VIP) method.MethodsAEs related to the use of XYP were extracted from the China National Adverse Drug Reaction Monitoring Information System (2004–2017) and classified as general or severe. Data were analyzed with respect to age and 12 herb-drug combinations, including ribavirin (RB), ceftriaxone, penicillin sodium, ambroxol hydrochloride (AH), clindamycin, cefoxitin sodium, azithromycin (AZM), ceftazidime, amoxicillin sodium/potassium clavulanate, levofloxacin hydrochloride, sodium cefazolin pentahydrate, and acyclovir according to VIP scores and correlation coefficient (Coeff).ResultsA total of 21,714 AEs (general 20,660; severe 1054) related to XYP combinations were included. Using XYP alone tended to produce general AEs (All VIP = 3.124; 1.329; 1.857; 2.169; 2.400, Coeff < 0). For all set, 0–6 years old patients tend to have general AEs (VIP = 2.425, Coeff < 0), while those > 41 years old patients tend to have severe AEs (VIP = 1.180; 2.323, Coeff > 0). For 0–40 years old patients, XYP-RB combination had a greater impact on the severity of AEs (VIP = 1.158; 1.360; 1.147, Coeff > 0). For 7–17 years old patients, XYP-AZM combination tended to produce general AEs (VIP = 1.502, Coeff < 0). In individuals > 65 years old, XYP-AH combination tended to result in severe AEs (VIP = 1.232, Coeff > 0).ConclusionsVIP method was expected to effectively analyze risk factors in affecting the severity of AEs and control AEs more effectively. Age is the key factor contributing to the severity of AEs, and there are different influence directions. It is recommended that clinicians pay closer attention to the metabolic characteristics of different age groups. It is safe to use XYP alone and strictly implementing standardized operations such as medication interval and flushing will avoid undesired AEs.

PEMBANGUNAN SISTEM INFORMASI MONITORING KARYAWAN PADA BAGIAN LOGISTIK DI PT. MOWILEX INDONESIA.

Mowilex Indonesia is a company engaged in manufacturing with more than 1000 employees. In managing employee data, this company does not yet have an integrated information system so that data management for employee activities has not been effective and efficient. Therefore, an information system is needed that can monitor all employee activities ranging from attendance, leave, mutation, promotion and other activities. With this system, companies can monitor employee activities easily and quickly, especially in making reports. The objectives of this study are 1) to create employee monitoring information system, 2) to provide convenience in making monitoring performance reports for management needs. This research uses waterfall development methods and Unified Modeling Language (UML) modeling as system design methods, while its implementation uses the PHP programming language with the help of sublime text and MYSQL databases with the help of navicat.

Sustainability and Technology: Proposals and Recommendations for the 2050 Amazon

Purpose: To Identify and catalog the sustainable practices adopted in the Amazon Region. Sustainable development in the Amazon region is fundamental for the balance between human presence and the preservation of nature. Every productive chain that involves Amazon needs to avoid the degradation of the region. Theoretical framework: The theoretical bases that supported the research were extracted from scientific articles indexed by SCOPUS, from books about sustainability practices in the Amazon. Methods: We perform a Systematic Literature Review (SLR) using the PRISMA protocol. The study covered articles published in SCOPUS from 1989 to 2022. As an inclusion criterion, the articles should cover topics related to sustainable development practices in the Amazon region. The articles were cataloged by journal, study area, economic sector, and sustainability practices. Results and conclusions: Researchers from Latin America, mainly from Brazil, are the ones who are most dedicated to studying sustainable practices and actions in the Amazon region. The studies indicate a connection between production activities and actions that seek and are concerned with environmental sustainability. The researcher's interest in the Brazilian Amazon forest was identified, with emphasis on studies of sustainable forest management, deforestation, the study of rubber, geographic information systems for better monitoring of the region to contribute to planning and management, and the study of environmental degradation driven by the deficiency of government management. Research implications: The sustainable actions and practices characterized in the Amazon examined show what is being studied by the scientific community globally in the Amazon region and in which economic segments the practices of technological sustainability can be observed. Originality/value: Expands understanding of sustainable actions and presents proposals and recommendations for studies up to 2050 in the Amazon.

Low-cost rapid-installation data monitoring and analysis system for operating status of refrigeration plant

For refrigeration plants without building automation systems (BAS), a low-cost rapid-installation data monitoring and analysis system has been developed that can be installed without affecting the normal operation of the refrigeration system. Typical installation time is two days, and the hardware and installation cost for a canonical set of systems is approximately 5600 Chinese Yuan (780 US Dollar). Temperature data were collected from low-cost wireless measurement points on the equipment and piping of the refrigeration plant and then stored, pre-processed, and analyzed to extract parameters related to the operating status of the plant. This paper describes the methods and rules for pre-processing the data and the methods for identifyingAuthor Statement the system operating state using algorithms, including algebraic operations, statistical parameter identification based on empirical rules, and curve similarity identification. The low-cost, rapid-installation data monitoring and analysis system was applied to several refrigeration plants, and the relevant data were analyzed. The rapid data monitoring and analysis system successfully calculated and identified the energy consumption, Coefficient of Performance, Water Transport Factor, ON/OFF status, and other operating status and energy efficiency-related parameters of each item of refrigeration equipment. It also identified fault information, such as frequent start-stop and water bypass, which are common in refrigeration plants. The system costs 10% less than a traditional monitoring system. It is expected to help refrigeration plants without BAS to take the first step in establishing a monitoring system, allowing operations and maintenance personnel to better understand the operating status of the refrigeration system from a remote location, discover faults and energy-consuming behaviors in a timely manner, and improve the overall energy efficiency of the system.

Screening for and Experiences of Intimate Partner Violence in the United States Before, During, and After Pregnancy, 2016-2019.

Objectives. To measure rates of intimate partner violence (IPV) screening during the perinatal period among people experiencing physical violence in the United States. Methods. We used 2016-2019 Pregnancy Risk Assessment Monitoring System data (n = 158 338) to describe the incidence of physical IPV before or during pregnancy. We then assessed the prevalence of IPV screening before, during, or after pregnancy and predictors of receiving screening among those reporting violence. Results. Among the 3.5% (n = 6259) of respondents experiencing violence, 58.7%, 26.9%, and 48.3% were not screened before, during, or after pregnancy, respectively. Those reporting Medicaid or no insurance at birth, American Indian/Alaska Native people, and Spanish-speaking Hispanic people faced increased risk of not having a health care visit during which screening might occur. Among those attending a health care visit, privately insured people, rural residents, and non-Hispanic White respondents faced increased risk of not being screened. Conclusions. Among birthing people reporting physical IPV, nearly half were not screened for IPV before or after pregnancy. Public health efforts to improve maternal health must address both access to care and universal screening for IPV. (Am J Public Health. 2023;113(3):297-305. https://doi.org/10.2105/10.2105/AJPH.2022.307195).

Structural health monitoring and finite-element modelling of Suramadu Bridge, Indonesia

Structural health monitoring (SHM) has received significant public attention due to its potential to optimise the maintenance, long-term reliability and life-cycle cost of infrastructure systems. The main goal of SHM is to identify, characterise and diagnose anomalous performance of structures. Usually, the most common approach to attain this goal is by investigation of variations in structural natural frequencies. However, both structural degradations and environmental conditions can affect structural performance and, therefore, decoupling natural frequency variations from operational conditions is essential. This paper reports on a monitoring system and measurement data of a long-span cable-stayed in Indonesia (Suramadu Bridge). The main objective of this work was to explore and report the environmental and operational conditions of the bridge for the first time. A detailed finite-element model was developed to investigate the operational performance of the bridge under different environmental conditions. The results showed that the vertical modal properties of the Suramadu Bridge are less affected by ambient excitations in comparison with lateral/torsional modes.

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment.

With the construction and development of modern and smart cities, people's lives are becoming more intelligent and diversified. Surveillance systems increasingly play an active role in target tracking, vehicle identification, traffic management, etc. In the 6G network environment, facing the massive and large-scale data information in the monitoring system, it is difficult for the ordinary processing platform to meet this computing demand. This paper provides a data governance solution based on a 6G environment. The shortcomings of critical technologies in wireless sensor networks are addressed through ZigBee energy optimization to address the shortage of energy supply and high energy consumption in the practical application of wireless sensor networks. At the same time, this improved routing algorithm is combined with embedded cloud computing to optimize the monitoring system and achieve efficient data processing. The ZigBee-optimized wireless sensor network consumes less energy in practice and also increases the service life of the network, as proven by research and experiments. This optimized data monitoring system ensures data security and reliability.

Reproductive Coercion Among Women With Disabilities: An Analysis of Pregnancy Risk Assessment Monitoring Systems Data.

Reproductive coercion (RC) is a widespread yet understudied type of intimate partner violence that is associated with numerous negative outcomes. Women with disabilities may be at an increased risk of RC; however, little research has been conducted among this population. Using population-based data, we sought to examine the prevalence of RC in postpartum women with disabilities. This is a secondary analysis of a cross-sectional survey, the Pregnancy Risk Assessment Monitoring System, a nationally representative survey conducted by the Centers for Disease Control and Prevention in partnership with participating states. These analyses include 3,117 respondents who had information on both disability status and experiences of RC. Approximately 1.9% of respondents reported experiencing RC (95% CI [1.3, 2.4]). When stratified by disability status, approximately 1.7% of respondents without a disability reported RC whereas 6.2% of respondents with at least one disability reported RC ( p < 0.001). In univariable logistic models, disability, age, education, relationship status, income, and race were all significantly associated with RC. Our findings highlight the need for healthcare providers working with women with disabilities to screen for RC and potentially uncover intimate partner violence and prevent its negative health consequences. All states participating in Pregnancy Risk Assessment Monitoring System data collection are urged to incorporate measures of RC and disability status to better address this significant issue.

Analysis of the Status of Radiation-generating Medical Devices in Mainland China.

The purpose of this paper is to describe the status of radiation-generating medical devices in mainland China. The number of diagnostic radiology and interventional radiology devices was collected from the national medical radiation protection monitoring information system, while the number of radiation therapy and nuclear medicine devices was from the published articles. Statistical analysis of the correlation was used to assess the relationship between the number of high technology medical devices and GDP per capita. A total of 143,064 radiation-generating medical devices were identified in mainland China, and diagnostic radiology devices accounted for 94% of those. The number of CTs was 14.84 per million, an increase by a factor of 1.45 compared to 2009. But the distribution of CTs was imbalanced among different areas: the highest number of CT per million population was 27.70 in Tibet, and the lowest was 8.55 per million population in Guangxi province. Statistical analysis of the correlation showed that the number of PET scanners per million population was positively correlated with GDP per capita, and similarly for medical accelerators. The number of mammographic devices per million population was much lower than that in other countries. The investment of radiation-generating medical devices in China was far from enough, especially for mammographic devices. More efforts should be taken to bring medical resources to regions with greater population areas in the future.Health Phys. 124(0):000-000; 2023.

Association of New York State’s Marketplace Special Enrollment Period for Pregnancy With Prenatal Insurance Coverage

This cross-sectional study uses Pregnancy Risk Assessment Monitoring System data to investigate the association between marketplace pregnancy special enrollment and prenatal insurance coverage in New York.

Evaluating an Intervention to Improve the Quality of Routine Immunization Data and Monitoring System in Enugu State, Nigeria: A Pre-and Post-Study

ABSTRACT Background: Studies evaluating what interventions might improve the quality of routine immunization (RI) data and use in decision-making are scarce in Sub-Saharan Africa. This study assessed the effect of a data-focused intervention on the accuracy of RI data and the quality of the data monitoring system (DMS). Methods: A ”before and after” study was conducted in randomly selected health facilities (n = 60) in Enugu State, Nigeria. Data on three routine vaccinations in tallied registers, facility reports, and District Heath Information System II, and the quality of the DMS were compared before and after the intervention. The DMS covered recording, reporting, archiving, demographic information, core output and analysis, and data use. The intervention included monthly data review meetings and supervision of facility RI staff. We compared mean differences (MD) of log-transformed data accuracy and quality scores between baseline and end-line using paired samples t-test. Additionally, interviews were conducted with purposively selected RI stakeholders (n = 21) on the interventions and self-selected changes in RI data management practices. Data were coded and analyzed thematically using NVivo software version 11. Results: The accuracy of Measles2 facility reports improved post-intervention (MD = -0.62, t = 2.70, ρ = 0.009). The overall quality of the DMS (MD = -10.1, t = -4.4, ρ = 0.001), recording (MD = -6.5, t = -3.0, ρ = 0.048), demographic information (MD = -24.1, t = -6.1, ρ = 0.001), core output and analysis (MD = -14.2, t = -3.9, ρ = 0.004), and data use (MD = -17.05, t = -4.3, ρ = 0.001) improved post-intervention. Regarding the qualitative findings, adopting “tally as you vaccinate,” timely reporting, use of demographic information, archiving paper records, updating the monitoring charts regularly, and data-informed decisions improved the RI data monitoring system. However, resistance to changes in recording practices, staff shortage, use of inappropriate denominators, interrupted supply of monitoring charts, and lack of funds constrained the data monitoring system. Conclusion: Supervision and data review meetings improve the accuracy of Measles2 and the quality of the RI DMS. The feasibility of sustaining the data management practices requires RI stakeholders to address contextual limitations identified in this study.

Information system for monitoring of a ship power plant and prediction of technical condition

The article is devoted to the development of an information system for monitoring and controlling a ship power plant with the possibility of predicting the parameters of the technical condition. A diagram of data flows of the main processes in the information system for monitoring and controlling a ship power plant with its inherent components has been developed and presented. The implementation of the scheme of information exchange between the elements of the ship's power plant for monitoring and controlling the ship's power plant is proposed. As an example, the implementation of the information model for monitoring diesel-electric installations developed by the authors, which is part of the ship power plant, is considered in detail. The article shows a variant of predicting the parameters of the technical condition in dynamics with the possibility of detecting violations of the permissible limits of the values of controlled parameters in the future at the corresponding time interval. The shown development will be useful for further research on the processes of monitoring and controlling the parameters of the technical condition of a ship power plant, both for the corresponding forecast time and up to the obtained parameter values with the smallest forecast time value at which the set of allowable limits will be exceeded.

Challenges and development perspectives of water supply system in Syrian governorates

Human demands on water resources are increasing unsustainably at a time when the effects of climate change on the aquatic environment are worsening and, unfortunately, the world is not on the right track to achieve sustainable water and sanitation management. Water is increasingly demanded to feed growing populations, meet growing energy needs, provide services in expanding urban areas, and meet the needs of industry. To improve water security in the context of growing demand, water scarcity, increasing uncertainty, intensifying extreme weather events and fragmentation challenges, countries will need to strengthen institutional frameworks, manage information and develop infrastructure (both natural and man-made). Institutional instruments such as legal and regulatory frameworks, water pricing and incentives to improve water allocation, regulation and conservation are important. It is also necessary to have information systems for monitoring and tracking this resource, making decisions under uncertainty, conducting network analysis, making forecasts and issuing warnings related to hydrometeorology.

Clinical Pathways and Hierarchical Clustering for Tuberculosis Treatment Outcome Prediction

Clinical pathways are chronological event series that happen throughout a patient's treatment. They can be extracted from the Electronic Health Record medical information and this can be used to correlate the pathway to possible healthcare outcomes. This can be applied to a wide variety of diseases to point pathways related to bad outcomes. These pathways can be audited and patients that start to follow such patterns can be put in special observation and care. Tuberculosis (TB) is one of the leading causes of death through infectious disease and its control is based on search for cases, accurate and premature identification, and treatment. The use of the aforementioned method can help in disease control and premature identifications of bad outcomes for ongoing treatments. Therefore, the current study goals are: 1) identify the existing clinical pathways; 2) group these pathways using hierarchical clustering; 3) create a classification model based on the generated clusters to predict bad outcomes. The dataset used consisted of 277,870 TB treatment cases from the state of São Paulo collected through TBWEB, a information system for monitoring and follow-up of TB cases. All cases with ongoing treatment were excluded from the study and the resulting dataset was splitted in training and test samples. To reduce bias due to imbalance the undersampling technique was applied to the training dataset resulting in a final sample size of 90,184. The test dataset had a size of ​​52,639 cases. Both datasets had 16 attributes describing the patient diagnosis and drug scheme evolution through the treatment. All attributes unique values were mapped and a representation character was assigned to each one. Later, these representation characters were concatenated in the chronological order of the events and diagnosis creating a representational string for the clinical pathway. The resulting pathways of the training dataset were used to build the clusters which were later used to build the classifier to predict the treatment outcome based on the test dataset clinical pathways. The final model overall accuracy is at 0.829. The model showed a significant improvement of accuracy from previous studies and had similar or better performance than others in the literature. We believe this model can be implemented to a informational system to further improve treatments management and tuberculosis control.

Features of applying innovative analytical-statistical technologies in information systems for monitoring and detecting corruption

Features of applying innovative analytical-statistical technologies in information systems for monitoring and detecting corruption

Forecast of differential settlement of structures using data of monitoring system

The article analyzes the results of observations of uneven settlement of various buildings, obtained in the course of long-term observations with the help of automated systems of deformation monitoring. The main purpose of the work is to evaluate the possibilities of predicting sedimentary processes using statistical forecasting models. Emphasis is placed on approach using time series analysis algorithms. The results of simulation using the integrated autoregressive moving average model are demonstrated. To build a forecast, data on the foundation settlement over a 5-year period were used. Predictive values obtained for 1-year and 2-year intervals are compared with the data of real observations. The comparison showed that at the chosen forecasting horizon, the deviation of the predicted settlement value from the actually observed one is comparable to the accuracy of sediment measurement by hydraulic leveling sensors. The study showed the promise of using this approach to predict the integrity of structures within the framework of an automated system of deformation monitoring.

Расчет коэффициента естественной зарегулированности стока рек Калининградской области по результатам наблюдений 2020 г.

Effective management of water resources in the river basin is impossible without information about the intra-annual distribution of runoff and its regularities. To analyze the intra-annual distribution of river discharge, graphs of the change in flow over time and curves for the provision of average daily discharges are used. The share of the basic runoff in the year under consideration is estimated using the coefficient of natural flow regulation (CNFR). The CNFR is taken into account when solving engineering and scientific problems. The value of CNFR is determined according to the graph of the supply curve for average daily expenses or by another approximate method. This article uses a previously developed method for calculating CNFR in the Mathcad environment. The values of CNFR for the rivers of the Kaliningrad region are calculated based on the results of observations of average daily discharges in 2020 obtained from the Automated Information System for State Monitoring of Water Bodies of the Russian Federation for eight hydrological posts. It has been established that 2020 in the Kaliningrad region was characterized by low water content. Under these conditions, the CNFR of the rivers of the region turned out to be noticeably higher than that of the rivers of the North-West of Russia. The exception was the rivers Instruch and Zlaya. It is determined that CNFR has a close stochastic relationship with the ratio of the average and maximum flow of this river. The growth trend of CNFR can be traced with an increase in the area of the catchment area.

Telemetric information system for geoecological monitoring of the state of subsoil and underground structures of deep disposal facilities for liquid radioactive waste

Telemetric information system for geoecological monitoring of the state of subsoil and underground structures of deep disposal facilities for liquid radioactive waste

ПРИЧИНИ СТРАТЕГІЧНИХ ЗМІН ТА АДАПТИВНІ МОЖЛИВОСТІ ПРОТИСТОЯННЯ ЇМ В ПРОЦЕСІ РЕАЛІЗАЦІЇ СТРАТЕГІЇ

The article reveals the reasons for strategic changes, which require a quick response to them for the further development of the organization and the search for new adaptive approaches in the process of implementing the organization's strategy. Ways to accelerate strategic changes in the organization are revealed, namely: the introduction of new technologies, which will be used to produce goods with a new price and quality, new market segments where enterprises will be evaluated by the main competitors, new distribution channels and reorientation of the market, where the nature of demand is changing, the use of new regulatory documents (contracts, laws, decisions, etc.) and sudden changes in the external environment, manifested in the price of goods, in the exchange rate etc., or in political cataclysms that can cause changes in the organization's position on the market. The reasons for the delayed response to external changes affecting the development of a strategy for adapting to the changed situation are considered. These include: inattention, i.e. not paying attention in time to a decrease, for example, in sales volumes, a period of delay, when lower levels of management are aware of the presence of serious problems, although in many cases they cannot influence the situation, since the real power lies with top management, cost reduction, which is false, because the problem is not the level of productivity, but the feasibility of production, a forced change when the policy of cost reduction did not justify itself and a sharp turn (specific changes) in investment policy, when the effective actions of the new management team were adopted. The possibilities of resistance to changes are given, namely: reducing the delay in strategic reaction, where strategic management deals with the problems of accelerating the process of "turning" when adapting to new external conditions, effective management information systems for effective monitoring of consumer behavior, use of strategic opportunities oriented to consumers, adaptation of the organization (for example, business reorganization, diversification of production and markets, search for leaders who are capable of active and decisive actions), rapid personnel changes to identify a reserve capable of being a leader in a period of sudden changes and bringing the organization out of crisis.

Diagnosis and Analysis of Thermal Power Plant Operation in Heating Season

In order to further improve the operation level of the thermal power units of the provincial grid thermal power plant, optimize the data quality of the online monitoring system of the provincial thermal power units, through the diagnosis and analysis of the operation data of the thermal power online monitoring system, and from an all-round perspective, analyze and evaluate the peak shaving and frequency modulation capabilities of the heat supply units of the thermal power plant from the aspects of the load carrying capacity of the heat supply units, the optimization of the startup mode of the whole plant, and the heating capacity, to provide support for the accurate scheduling of the heat supply units. This paper analyzes the heat supply, peak regulation and frequency regulation capacity of the whole thermal power plant through the operation data, draws the peak regulation interval and heat supply capacity interval, and provides support for the optimal operation of the whole plant.