Effective Analysis System Research Articles

Fire Detection And Extinguishing System

Advanced detection and suppression systems are imperative for early intervention in various environments where fire incidents pose significant risks. A comprehensive fire detection and extinguishing system that uses computer vision and image processing techniques to address important fire safety issues is presented in this project. Using an SSD-MobileNet-v2-FPNLite object detection model to analyze video feeds, the system uses a webcam to detect fires in real-time. The system acts quickly minimizes damage and possible loss by automatically initiating a suppression mechanism upon detecting fire. With automated detection, suppression, and improved situational awareness, integrating advanced technologies facilitates proactive fire management. To ensure the system's usefulness, effectiveness and feasibility analysis considers technical, operational, and financial factors. An incremental development model is used, with a focus on feedback integration and continuous improvement. This emphasizes continuous improvement through the integration of feedback. Metrics from the performance evaluation show how well the system detects fire incidents and launches suppression actions promptly, on time. This offers a significant advancement in automated fire management by demonstrating the potential of using cutting-edge image processing and machine learning techniques to address fire safety issues. This system is a significant advancement in fire safety technology that may shorten response times and lessen the effects of fires in a various context.

Multi-Agent Approach to Political Discourse Translation: From Large Language Models to MAGIC-PTF System

This research addresses the automated translation of Chinese political discourse into Russian utilizing Large Language Model (LLM) optimization technologies and a multi-agent approach. The study focuses on developing the MAGIC-PTF system, which implements multi-stage text processing through the interaction of four specialized agents. The system's key component is the Style Agent, which ensures stylistic uniformity and terminological accuracy based on a specifically trained LLM. The Translator Agent performs the primary translation work and is responsible for the final text formatting. The Editor Agent conducts multi-level verification and correction of translations, considering linguistic, semantic, and cultural aspects. The Reader Agent analyzes the text from the target audience's perspective, evaluating its reception by native Russian speakers. The methodology integrates LLM optimization technologies and a multi-agent approach, with experimental testing conducted on the fourth volume of "Xi Jinping: The Governance of China" and its official Russian translation. The study includes a comprehensive analysis of system effectiveness using the COMET metric and comparative testing with existing machine translation platforms. The research's scientific novelty lies in developing a methodology for applying LLMs to specialized translation tasks and creating an effective coordination mechanism for intelligent agents in the translation process. Experimental research demonstrated MAGIC-PTF's superiority over traditional machine translation systems in key parameters: terminological accuracy, stylistic consistency, and preservation of culture-specific elements in political discourse. The developed system opens new possibilities for automated translation of political discourse and can be adapted for translating other specialized text types, confirming its significance for modern translation technology development. Of particular value is the system's scalability and adaptability to various language pairs and discourse types, creating prospects for further development in automated specialized text translation. The research findings also contribute to advancing the theory and practice of LLM application in professional translation.

Towards Integrated Safety Assurance Methodology for Autonomous Vessel Navigation Systems

Abstract Safety assurance remains paramount for the realization of autonomous vessels. A robust assurance methodology that can provide traceability throughout the design and verification process is necessary to demonstrate safety equivalence to that of conventional ships. However, there are few references that propose a holistic safety assurance scheme for autonomous ships, using actual engineering processes of ships as examples. This study proposes a design and development method for an autonomous navigation system that integrates Model-Based Systems Engineering (MBSE), System Theoretic Process Analysis (STPA), Failure Modes and Effects Analysis (FMEA), and several verification methods including simulation-based tests to develop a comprehensive safety assurance scheme. This safety assurance scheme is being conducted as a case study for a newly constructed autonomous vessel. First, STPA can be performed on the conceptual design established by MBSE to extract additional safety requirements from the identified loss scenarios. Focusing on the process model in the loss scenario description leads to a deeper understanding of the system behavior. FMEA in addition identify potential component failure modes and their impact on system safety. The multi-level requirements that emerge from these activities are validated in test scenarios. Simulators are used to evaluate whether the autonomous navigation system’s safety can meet predefined pass criteria in some of the scenarios. These activities ensure traceability from safety goals to design decisions, allowing design changes and their impact on safety to be evaluated throughout the development lifecycle and allowing for more systematic ongoing monitoring during operations.

Sensitivity analysis of attack helicopter combat indicators based on machine learning

This paper focuses on sensitivity analysis in the design of Attack helicopter combat indicators, and combines the advantages of machine learning to propose a combat effectiveness oriented sensitivity analysis method for Attack helicopter combat indicators. Firstly, the steps of sensitivity analysis of Attack helicopter combat indicators based on machine learning are introduced. Secondly, through operational scenarios, constructing indicator systems, collecting relevant data, evaluating effectiveness, and using machine learning algorithms for modelling and training, the sensitivity assessment of the damage probability of Attack helicopter to ground armoured weapons can be achieved. This paper is able to provide reference for the sensitivity analysis of weapon equipment system effectiveness, and provide more scientific and reasonable support for the research and application of helicopters in combat systems.

RESILIENCE OF EU HEALTHCARE SYSTEMS

The article highlights the critical role of health­care system resilience in responding effectively to public health crises, with a particular emphasis on financing, effectiveness, and preparedness. It delves into a comparative analysis of healthcare costs and system effectiveness in several EU countries, revealing that higher expenditure doesnʼt always equate to greater resilience. The article also highlights the lack of investment in preventing measures, even in econo­mically developed countries, resulting in minimal improvements in healthcare system resilience. It has been noted that there is no correlation between strict government measures during the COVID-19 pandemic and healthcare system effectiveness. The importance of synergy between government epidemic control actions and healthcare system resilience is emphasized. The key factors that influenced healthcare system resilience during the pandemic, including proactive prepa­redness, resource allocation, data analytics capabi­lities, communication, public trust, and adaptive policies have been identified in the research. To enhance healthcare system resilience, it is recom­mended to focus on financial resilience, healthcare personnel resilience, and health infrastructure resilience. Strategies to achieve this include effective governance, flexible financing, resource availability, and adaptable service delivery. The multifaceted nature of healthcare system resilience and the need for a comprehensive approach to its provision in the conditions of emergency situations in the field of healthcare are emphasized. The authorsʼ analysis reveals a complex interplay of factors that contribute to healthcare system resilience, which can be used by government officials as a roadmap for strengthening the healthcare systems in the context of future challenges.

Effectiveness of the renewable energy support program implementation (by the example of solar energy)

Objective: to conduct a comprehensive analysis of the dynamics and prospects of the renewable energy support program implementation and to assess its effectiveness.Methods: comparison, synthesis, system approach, generalization, statistical and economic analysis.Results: the authors conducted a comprehensive analysis of system effects from the implementation of renewable energy support programs. The mechanisms of state support of renewable energy generators (further – RES) were studied. These mechanisms are aimed at reducing emissions and costs, creating new jobs, etc., which provides Russia with a unique opportunity to create a full-fledged RES industry. The authors assessed the economic efficiency of renewable energy development in the Wholesale Electricity and Capacity Market (WECM), taking solar energy for analysis. The benefits were analyzed, which are acquired as a result of renewable energy development, including by implementation of the state program of RES projects support and the RES development program for 2013-2024. Economic and non-economic effects arising in the process of RES industry development were analyzed. These are: substitution of fossil fuel consumed in energy production by conventional generation facilities, due to the replacement of conventional generation facilities by RES facilities; reduction of prices in the wholesale electricity market; reduction of greenhouse gas emissions; reduction of costs of measures to reduce the negative impact on the environment and health protection; reduction of compulsory levied payments; creation of new jobs. In conclusion, the prospects of RES development in the state nearest to Russia – the Republic of Belarus – were analyzed, which is important for energy cooperation.Scientific novelty: a comprehensive analysis of system effects from the implementation of the program to support the RES industry in the Russian Federation was carried out. The efficiency of the support program implementation was proved by the example of solar energy. The prospects of the program implementation in the Russian economy were shown.Practical significance: the obtained results and the revealed regularities can be used to make forecasts of renewable energy development taking into account economic and non-economic consequences. They can be used by the authorities to assess the support policy effectiveness of RES generating facilities, as well as to select the most favorable support mechanisms.

Lifetime assessment of the modified grounded grid in the negative ion source SPIDER

In a nuclear fusion reactor, some components of the system are subjected to huge thermal loads. These components, such as grids, neutralizers, calorimeters, ducts, divertors, blankets etc. have to be actively cooled in order to avoid damage, functionality problems and specially to ensure their reliability. The design process of such components requires taking into account several physical phenomena, with the goal of not only satisfying the functionality conditions, but also with a focus on the structural verifications and component lifetime. For assessment of the structural design for components in ITER, the ITER Structural Design Criteria for In-vessel Components (SDC-IC) represent the reference verification criteria.The aim of this work is to investigate the relationship between the cooling system performance and the fatigue life. In this work a generalized framework for the evaluation of cooling system components is presented, taking into account the necessary input parameters, performing numerical analyses, division of component into several interest regions and assessing the fatigue life. The performed numerical analyses are a set of coupled CFD and thermo-structural analyses.A case study is presented for a critical component, the Grounded Grid (GG), inside the SPIDER beam source experiment at Consorzio RFX, Padova, Italy. The presented test case includes cooling system effectiveness analysis, assessment of the temperature distribution on housing during operations, mapping the pressure distribution inside the cooling system and finally assessment of the maximum number of allowed cycles.

Comparative Analysis of Tax System Effectiveness in Developed and Developing Countries

Comparative Analysis of Tax System Effectiveness in Developed and Developing Countries

A probabilistic uncertain linguistic FMEA model based on the extended ORESTE and regret theory

As a means of identifying, preventing, and controlling potential system failures, failure mode and effect analysis (FMEA) has been extensively applied in many industries. However, the classical FMEA method has several defects in actual situations, such as being unable to express uncertain information, overlooking the weights of FMEA experts and risk factors (RFs), and without taking into account the experts’ psychological behaviors. To break through these constraints, a novel FMEA model based on probabilistic uncertain linguistic term sets (PULTSs), Organísation, rangement et Synthèse de données relarionnelles (in French) (ORESTE) and regret theory (RT) is proposed in this paper. First, PULTSs are introduced to express FMEA experts’ assessments under uncertainty. Then, the maximizing consensus model with PULTSs context (PUL-MCM) is constructed to obtain the weights of FMEA experts. Moreover, direct assessment weighting and maximizing deviation method (MDM) are utilized to determine the subjective and objective weights of RFs respectively, so as to reflect the importance of RFs comprehensively. Afterward, the extended ORESTE and RT are combined to prioritize FMs, which not only considers the psychological behaviors of experts and the detailed relations between failure modes (FMs) but avoids the information loss caused by the defuzzification of subjective weights of RFs. Finally, an example of the pasting process failures in lead-acid battery production is presented to illustrate the feasibility and rationality of the novel FMEA model, while sensitivity and comparative analyses are also performed to further demonstrate the flexibility and superiority of the novel FMEA model.

Pengelolaan Risiko dalam Aliran Pasokan Bahan Baku di PT Kamas Fiberglass dengan Pendekatan Supply Chain Risk Management (SCRM)

Risk management is important in the flow of raw material supply that occurs at PT Kamas Fiberglass. The problems that often occur currently in the company were frequent delays in raw materials, sudden price changes, the quantity of incoming raw materials did not match the order, the ordered raw materials that did not exist and so on. This study identified various risks in the supply chain so that the company could manage the risks to minimize losses and became the company's solution in overcoming problems related to the supply chain of raw materials from suppliers. This research applied the Knowledge-Based System (KBS) and Failure Mode and Effect Analysis (FMEA) methods. Various initial data obtained through direct observation and interviews with key informants so that twelve (12) risks that arose were identified, Second, a Standard Operating Procedure (SOP) was created to monitor and control requests to keep them stable. Third, production management was carried out to control quality. Fourth, information sharing between supply chain partners and related parties could expedite supply flows and minimized the occurrence of misinformation.

Risk analysis of systemic side effects of tumescent local anaesthesia in the surgical treatment of geriatric and multimorbid patients with skin cancer.

Due to demographic change and increased UV exposure, the number of dermatosurgical procedures in the elderly is increasing. Data on the occurrence of systemic side effects during and after treatment with tumescent local anaesthesia are limited and do not refer to details such as volume and composition of local anaesthetics or epinephrine additive. The aim of this study was to investigate the risk of systemic side effects in elderly patients undergoing skin tumour surgery with tumescent local anaesthesia. Investigation of systemic complications in patients (≥75 years) who underwent head and neck skin tumour surgery under tumescent local anaesthesia at the Department of Dermatology, University Medical Centre Tübingen, between October 2018 and March 2020. In total 782 patients (479 males, 303 females) with a mean age of 83.3 years (range: 75.1-102.2 years) could be included. A total of 2940 procedures were performed. Patients were assigned to two groups. The old-old group (≥75-84 years) included 491 patients and the oldest-old group (≥85 years) included 291 patients. The total inpatient stay and thus mean follow-up period was 4.9 days (range 1-28 days). 92.0% (719/782) suffered from pre-existing comorbidities. Systemic complications occurred in 10.2% (80/782; old-olds: 8.6%, oldest-olds: 13.1%). Hypertensive crisis (>180/120 mmHg) requiring intervention (6.7%) that occurred intraoperatively or during the inpatient stay was the most frequent systemic complication. Cardiac arrhythmias occurred postoperatively in 0.8% of cases. No life-threatening complications directly related to tumescent local anaesthesia were found. Skin tumour surgery in tumescent local anaesthesia for the elderly is safe, and complications caused by general anaesthesia can be avoided. Systemic complications can occur, but are usually mild, are caused by pre-existing diseases and perioperative excitement, and can be rapidly detected and well treated by monitoring. There is no direct correlation of complications to high-tumescent concentrations or volume quantities.

Analysis of Information System Effectiveness Using ISO/IEC 9126 and AHP (Analytical Hierarchy Process) Methods at PT ZYS

Sistem Informasi Manajemen sangat dibutuhkan pada saat ini. Sistem informasi dapat membantu eksekutif perusahaan dalam mengumpulkan, memproses, menyimpan dan mengkomunikasikan informasi terkait operasional perusahaan ke berbagai tingkat manajemen. SOS merupakan sebuah sistem informasi manajemen yang berfokus pada pengelolaan administrasi penjualan online di PT. ZYS. Sistem informasi tentunya memerlukan pembaharuan terkait pemenuhan kebutuhan kualitas perangkat lunak, sehingga diperlukan evaluasi kebutuhan kualitas oleh pengguna. Penelitian ini fokus pada evaluasi aplikasi SOS berdasarkan penilaian kelompok pengguna sistem informasi pada PT. XYZ. Evaluasinya menggunakan kuesioner dengan 6 atribut dan 21 atribut kualitas berdasarkan ISO/IEC 9126. Analytical Hierarchy Process (AHP) digunakan untuk menentukan nilai konsistensi tingkat prioritas kriteria. Tahap pertama yaitu melakukan spesifikasi sub kriteria yang digunakan sebagai pertimbangan dalam mengevalusai aplikasi. Tahap kedua memberikan rating pada setiap kriteria setelah itu melakukan matriks normalisasi dan mencari ʎ maks untuk mencari Consistency Index (CI) dan hasil akhir menentukan faktor kualitas yang dimiliki oleh software dan menguji nilai Consistency Rasio (CR). Hasil perhitungan matriks berpasangan menunjukkan bahwa faktor kualitas yang dimiliki oleh sistem informasi SOS adalah functionality dengan bobot 1,72, kemudian diikuti dengan reliability dengan bobot 1,54. Setelah itu berturut-turut Efficiency, Maintainability, dan portability dengan bobot 1,03, 0,98, 0,49 dan terakhir 0,24.

Judo technical-tactical dynamics: analysis of attack system effectiveness in high-level athletes

ABSTRACT This study aimed to determine which attack systems resulted in higher effectiveness in judo combats. We examined 5847 attacks from 152 high-level international male medallist athletes. Both successful (score) and unsuccessful attacks (no-score) were comprehensively analysed including six variables per action: attacker/defender approach, grip, stance, final displacement and direction of attack. Logistic regression, decision tree analyses and odds ratio (OR) were calculated to determine the probability of success for a given attack system. The main results indicated that i) gripping the dorsal region was decisive for an effective attack, ii) Right-Dorsal & Left-Dorsal grip configuration was the most efficient (P < 0.01, OR = 3.08), followed by Right-Dorsal & Left-Sleeve (P < 0.01, OR = 1.79) and Right-Sleeve & Left-Dorsal (P < 0.01, OR = 1.72), iii) hierarchical technical-tactical analysis identified that scoring rates for particular grips were highly influenced by the direction of attack and stance. Since this is the largest study so far examining attack effectiveness in judo, the information herein presented may have relevant implications for coaches by providing a new and practical organisation of combat dynamics and assisting in setting offensive/defensive plans to improve judo performance.

Risk Assessment in Failure Mode and Effect Analysis: Improved ORESTE Method With Hesitant Pythagorean Fuzzy Information

As a system reliability analysis technology, failure mode and effect analysis (FMEA) has been widely used in various industries to reduce the failure risk of products, systems, and services. In recent years, many researchers have found that this technology has limitations in failure mode assessment and failure mode prioritization in complex uncertain environment. In order to solve this problem, this article proposes a new FMEA model, which combines hesitant Pythagorean fuzzy sets (HPFSs) and ORESTE method. Specifically, HPFSs are used to describe the risk assessment information of experts. The ORESTE method is extended to determine the risk priority of the failure modes in FMEA. Moreover, the PIR structure of ORESTE is improved to reduce the subjective influence of experts. Finally, an example of risk assessment of intelligent aquaculture system is given to verify the applicability and effectiveness of the proposed FMEA model. The results show that the proposed FMEA model can not only accurately describe the hesitation and uncertainty of experts&#x2019; risk assessment information, but also obtain more suitable risk ranking of failure modes, based on which managers can further take corresponding preventive measures.

Исследование эффективности путей комбинирования АЭС с водородным комплексом с целью продажи водорода и генерации дополнительной электроэнергии

With an increase in the share of NPPs in the energy system, it becomes necessary for them to participate in the regulation of the electric load schedule. At the same time, the operation of the NPP with the maximum utilization factor of the installed capacity of the reactor was economically and technically justified. One of the promising ways to solve this problem is to install consumers-regulators at NPPs. The hydrogen energy complex can be effectively used as a consumer-regulator. The authors have previously developed an autonomous hydrogen energy generating complex, scientifically substantiated its economic efficiency. As the study has shown, the economic efficiency of an autonomous hydrogen energy complex directly depends on the sale tariffs for electricity. The low cost of electricity sold leads to a deterioration in economic indicators, up to a lack of recoupment. In this regard, as an alternative option, this work considers the possibility of selling hydrogen and oxygen as a commercial product at existing prices. A comparative study for a range of electricity tariffs and prices for hydrogen and oxygen was carried out on the basis of the methodology presented earlier by the authors, which makes it possible to study ways to improve NPPs on the basis of a comprehensive analysis of economic efficiency, safety and system effects achieved during the installation of new and modernization of existed equipment. The results obtained make it possible to choose the type of hydrogen energy complex depending on the operating conditions for the selected region of operation.

Validation of reference genes for expression analysis in a murine trauma model combining traumatic brain injury and femoral fracture

Systemic and local posttraumatic responses are often monitored on mRNA expression level using quantitative real-time PCR (qRT-PCR), which requires normalisation to adjust for confounding sources of variability. Normalisation requests reference (housekeeping) genes stable throughout time and divergent experimental conditions in the tissue of interest, which are crucial for a reliable and reproducible gene expression analysis. Although previous animal studies analysed reference genes following isolated trauma, this multiple-trauma gene expression analysis provides a notable study analysing reference genes in primarily affected (i.e. bone/fracture callus and hypothalamus) and secondarily affected organs (i.e. white adipose tissue, liver, muscle and spleen), following experimental long bone fracture and traumatic brain injury. We considered tissue-specific and commonly used top-ranked reference candidates from different functional groups that were evaluated applying the established expression stability analysis tools NormFinder, GeNorm, BestKeeper and RefFinder. In conclusion, reference gene expression in primary organs is highly time point as well as tissue-specific, and therefore requires careful evaluation for qRT-PCR analysis. Furthermore, the general application of Ppia, particularly in combination with a second reference gene, is strongly recommended for the analysis of systemic effects in the case of indirect trauma affecting secondary organs through local and systemic pathophysiological responses.

A novel fuzzy bi-objective vehicle routing and scheduling problem with time window constraint for a distribution system: A case study

In the process of hazardous material transportation, the risk is a significant factor that should be considered due to the potential severe consequence of an incident. Regardless of risks, time is a paramount concern that should be considered in hazardous material transportation. In this way, this paper introduces a bi-objective model for a vehicle routing and scheduling problem of hazardous material distribution problems under the fuzzy condition to minimize both total distribution time and risks. In the proposed model, the fuzzy inference system and fuzzy failure mode and effects analysis are applied to identify and calculate the high-level risks instead of the previous simple methods for the first time. Moreover, Jimenez method and fuzzy goal programming are respectively utilized to convert the fuzzy bi-objective model into the same crisp and single-objective one. Besides, to cope with the NP-hardness of the large-sized problems, two meta-heuristic algorithms namely invasive weeds optimization and genetic algorithm is used, and several sensitivity analyses are performed to prove the efficiency of the proposed approach. The performance of the proposed algorithms is also assessed through a comparative study. Finally, the proposed model is implemented to a real case study to prove the validity of the model.

Zebrafish Avatars towards Personalized Medicine-A Comparative Review between Avatar Models.

Cancer frequency and prevalence have been increasing in the past decades, with devastating impacts on patients and their families. Despite the great advances in targeted approaches, there is still a lack of methods to predict individual patient responses, and therefore treatments are tailored according to average response rates. “Omics” approaches are used for patient stratification and choice of therapeutic options towards a more precise medicine. These methods, however, do not consider all genetic and non-genetic dynamic interactions that occur upon drug treatment. Therefore, the need to directly challenge patient cells in a personalized manner remains. The present review addresses the state of the art of patient-derived in vitro and in vivo models, from organoids to mouse and zebrafish Avatars. The predictive power of each model based on the retrospective correlation with the patient clinical outcome will be considered. Finally, the review is focused on the emerging zebrafish Avatars and their unique characteristics allowing a fast analysis of local and systemic effects of drug treatments at the single-cell level. We also address the technical challenges that the field has yet to overcome.

Analysis of dynamic response and flutter suppression system effectiveness of a long-haul aircraft in transonic flight mode

Analysis of dynamic response and flutter suppression system effectiveness of a long-haul aircraft in transonic flight mode

Special Issue: Advances in the Economic Analysis of Food System Drivers and Effects

National interest in the effects of the U.S. food system has risen to such a level that the Institute of Medicine (IOM) and National Research Council (NRC) of the National Academies was compelled recently to publishA Framework for Assessing Effects of the Food System(IOM/NRC 2015), focusing on health, environmental, and economic and social variables. While providing a useful framework, the volume stopped short of actually carrying out studies to validate or test the assumptions of the framework. In addition to having measurable societal effects, food systems are also being affected by powerful secular forces that range from rising income inequality, consolidation and rationalization in retailing, consumer preferences for local and regional foods, to changes in climate and competition for land associated with urbanization. In parallel, an expanding “food movement” has emerged that, with little formal or rigorous analysis, has become highly critical of the food system and its consequent health, environmental, and economic and social effects.