Scenario Of Destruction Research Articles

An improved skip-lot sampling scheme with resampling mechanism using an advanced capability index

In today’s competitive market, product quality holds significant importance for consumers, motivating companies to prioritise high-quality product development and enhance their competitiveness. Acceptance sampling plans have proven to be indispensable tools in quality control practices, enabling producers and consumers to protect their interests by establishing evaluation rules for product batches. As defective rates decrease in modern manufacturing, skip-lot sampling plans (SkSP) have emerged as a suitable way for lots exhibiting stable and excellent product quality. Additionally, repetitive group sampling plan (RGSP) offers a cost-effective way to maintain desired protection for both parties, especially in costly or destructive inspection scenarios. Therefore, this study integrates the benefits of process capability indices, SkSP, and RGSP to develop a new variables SkSP with RGSP as its reference plan based on an advanced capability index Cpmk (called Cpmk -based SkSP-RGSP). The proposed plan achieves comparable discriminatory power to traditional sampling plans while significantly reducing the required sample size. Detailed tables of plan parameters are given to facilitate effective implementation for practitioners.

Living in Syn: T Cell Antigen Identification Based on Synapse Sequencing.

The pivotal role of T cell responses has been well studied in both protective and destructive scenarios. T cells recognize peptide epitopes presented on Human Leukocyte Antigens (HLA) through their surface T cell receptors (TCR). Advances in single-cell RNA sequencing have identified millions of TCRs, but only a minuscule fraction of them have known epitopes. Recently, cell-based T cell antigen discovery platforms have emerged onto the landscape. Here, Jin and colleagues, report a novel antigen discovery platform called Tsyn-seq that relies on sequencing TCR-peptide-HLA-induced synapses for genome-wide epitope screening. See related article by Jin et al., p. 530 (3).

Structural Evolution of Global Soybean Trade Network and the Implications to China.

China experiences a serious shortage of soybean supplies and relies heavily on international trade with high vulnerability and large uncertainty, which maybe sows food security risks. It is of great significance to analyze the structural evolution of the global soybean trade network and its implications to China for ensuring food security. This paper constructed a global soybean trade network (GSTN) and analyzed the structural evolutionary characteristics of GSTN from 2000 to 2020 using the complex network analysis method and simulated the impact of targeted destruction on China through scenario analysis. The results showed that GSTN was gradually complex exhibiting a small word and a scale-free network property. The global soybean exporter was dominated by some major soybean-producing countries in America. The US played an important role in maintaining GSTN's robustness. China was the world's largest soybean importer; unfortunately, its soybean imports relied heavily on a few countries, and the anti-interference ability of China's soybean trade tended to decline. Therefore, China's soybean trade was increasingly vulnerable to being tightly controlled by other countries when some uncertain factors occurred, such as trade frictions and changes in policy decisions from importing and exporting countries. The US and Brazil were key countries with significant soybean trade ties to China. To assess the impact of the two countries on China's soybean trade, targeted destruction method was used through destroying them in the network. Targeted destruction scenario analysis indicated the two countries played important roles in the anti-interference ability of China's soybean trade. Brazil played a positive role in China's control of soybean trade flows, while the US did not. Some policies for China's soybean production and international trade were proposed. A balance between the domestic production and import of soybean is needed. Optimizing the soybean trade import system and seeking more trade partners is crucial. Improving soybean self-sufficiency is the fundamental way to reduce the high-import dependence. The study provided some insights for coping with international market fluctuations and improving the sustainability of China's soybean trade.

Failure Scenario of Power Supply Due to Conducted Electric Pulse From E1 HEMP

This article presents the effects of a high amplitude conducted electromagnetic pulse on the electrical behavior of a flyback switch-mode power supply. The electromagnetic pulse is generated by a current injection platform that is able to reproduce differential or common mode parasitic currents and voltages induced by the coupling between E1 high-altitude nuclear electromagnetic pulse and a global electrical network. In this article, injections are performed in differential mode until the destruction of power supply. Current and voltage measurements have been performed around each destroyed component during the injection. Finally, these destruction tests, associated with spice simulations and component analyses, permit to build a power supply destruction scenario with the component's failures chronology modeling. This scenario is the first step in order to model the susceptibility of power supplies during an electrical pulse injection.

Attractors of a Weakly Dissipative System Allowing Transition to the Stochastic Web in the Conservative Limit

This article deals with the dynamics of a pulse-driven self-oscillating system — the Van der Pol oscillator — with the pulse amplitude depending on the oscillator coordinate. In the conservative limit the “stochastic web” can be obtained in the phase space when the function defining this dependence is a harmonic one. The paper focuses on the case where the frequency of external pulses is four times greater than the frequency of the autonomous system. The results of a numerical study of the structure of both parameter and phase planes are presented for systems with different forms of external pulses: the harmonic amplitude function and its power series expansions. Complication of the pulse amplitude function results in the complication of the parameter plane structure, while typical scenarios of transition to chaos visible in the parameter plane remain the same in different cases. In all cases the structure of bifurcation lines near the border of chaos is typical of the existence of the Hamiltonian type critical point. Changes in the number and the relative position of coexisting attractors are investigated while the system approaches the conservative limit. A typical scenario of destruction of attractors with a decrease in nonlinear dissipation is revealed, and it is shown to be in good agreement with the theory of 1:4 resonance. The number of attractors of period 4 seems to grow infinitely with the decrease of dissipation when the pulse amplitude function is harmonic, while in other cases all attractors undergo destruction at certain values of dissipation parameters after the birth of high-period periodic attractors.

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

Post-hazard rapid response has emerged as a promising pathway towards resilient critical infrastructure systems (CISs). Nevertheless, it is challenging to scheme the optimal plan for those rapid responses, given the enormous search space and the hardship of assessment on the spatiotemporal status of CISs. We now present a new approach to post-shock rapid responses of road networks (RNs), based upon lookahead searches supported by machine learning. Following this approach, we examined the resilience-oriented rapid response of a real-world RN across Luchon, France, under destructive earthquake scenarios. Our results show that the introduction of one-step lookahead searches can effectively offset the lack of adaptivity due to the deficient heuristic of rapid responses. Furthermore, the performance of rapid responses following such a strategy is far surpassed, when a series of deep neural networks trained based solely on machine learning, without human interventions, are employed to replace the heuristic and guide the searches.

Study on the rare waterbird habitat networks of a new UNESCO World Natural Heritage site based on scenario simulation

As a newly established World Natural Heritage site, the conservation of rare waterbird habitats in the Yancheng coastal wetlands has attracted wide international attention. In view of the importance of this area in international biodiversity conservation and waterbird habitat conservation, the study of the current situation of rare waterbird habitat networks with spatial isolation features of great demonstration significance to improve the habitat conservation quality of the heritage site. Based on the data obtained from habitat suitability assessments of rare waterbirds, this paper used complex network theory, ecological stepping-stone theory and circuit models to analyze the current status and robustness of rare waterbird habitat networks in the Yancheng coastal wetlands. The results showed that the stepping stones of the red-crowned cranes and the Oriental storks were mainly distributed around important habitat areas, including aquaculture ponds and reed marshes, with areas of 1275.68 hm2 and 1247.74 hm2, respectively, while the stepping stones of Saunders's gulls were mainly distributed within the Tiaozini habitat site, with an area of 1180.76 hm2. The stability and connectivity of the habitat networks of red-crowned cranes and Oriental storks in the northern habitat area were better. At the Tiaozini habitat site, there was spatial isolation and low connectivity among the habitats and stepping stones of Saunders's gulls. In the optimal protection scenario, the stability and connectivity of the habitat network structure of red-crowned cranes and Oriental storks were the best, and the networks tended to exhibit assortativity. In the random destruction scenario, the connectivity of the habitat networks of Saunders's gulls was the lowest, and the network structure was the most fragile. Finally, the optimization and restoration patterns of habitat network based on improving the support capacity of important habitat nodes and the enhancement of the stability and connectivity of the stepping-stone networks were proposed.

Evaluating the effectiveness of the information security system process based on the theory of stochastic indicators

Introduction: Under the conditions of imperfect methods and means of detection and response to computer attacks there is a constant growth of destructive impacts aimed at critical information systems. This generates a need to develop research methods for early warning systems to provide information security in case of malware attacks. One of the effective ways to solve this problem is to use the methods of the theory of stochastic indicators. Purpose: The development of a tool for evaluating the effectiveness of the information security system functioning. Results: We describe deterministic, random and indefinite components of the information security system functioning. Constant and functional indicators are constructed, their distinctive features are revealed. To solve the problem of evaluating the effectiveness of the process under consideration stochastic superindicators are constructed. We have also described the features of the construction of stochastic indicators of different ranks on the basis of the theory of the effectiveness of targeted processes and purposeful systems. Practical relevance: Through the developed stochastic time indicators, the probabilistic and temporal characteristics of the destructive impact are estimated, with the intervals and time points of its occurrence taken into account. This allows the system to be timely warned of a possible destructive impact scenario for the elements of critical information infrastructure.

Progressive collapse resistance of cable net structures

This study investigates the collapse resistance of the cable net structures. Compared to conventional structures, the analysis of the cable net structures is rather complicated due to the highly nonlinear behavior of the cables, which leads to large displacements and instabilities during the analysis. In this paper, 24 prototype structures are modeled with various force density levels, span lengths, and the number of spans. Several collapse scenarios, including the cable rupture, column removal, and restrain failure, are defined, and the prototype structures are analyzed considering 168 collapse scenarios. This paper aims to recognize the critical elements, the weak points, and other decisive parameters to protect the cable net structures against progressive collapse. The collapse analysis is performed using a step-by-step nonlinear pseudo-dynamic procedure considering the backbone curve for the elements to accurately model the rupture phenomenon. To verify the numerical approach, the results for one of the pseudo-dynamic analyses are compared against nonlinear and linear dynamic analyses using the Node Relaxation method. Analysis results indicate that the restrain failure is the most destructive collapse scenario for cable net structures. For multi-span cable nets, it is also concluded that the areas around the corner columns are more vulnerable to local damage.

Risk assessment framework for the supply of water during a crisis

A city's water supply system is often vulnerable to natural hazards and artificial threats. The provision of clean and healthy water is a main lifeline for victims in temporary shelters and remaining residents in the aftermath period. During a crisis, lack of an emergency water supply plan increases the number of casualties. The aim of this research was to develop a supply plan for emergency water during a disaster by introducing a comprehensive risk assessment. Software (Arc-GIS and Scenario Wizard) was used to prepare emergency plans and reduce casualties due to a natural disaster in Kermanshah city, Iran, as a case study. To achieve this, three phases were carried out. In the first phase, vulnerability and destruction scenarios were determined using cross-impact balance analysis based on descriptors and their interactive variables. In the second phase, risk zonation maps for drinking water supply were developed by using geographical data and superposing different layers. In the third phase, distribution maps were developed for three grades of support and supply centres, implemented for Kermanshah city with an earthquake considered as the main disruption event.

Feasibility evaluation for development of composite propellers with embedded piezoelectric sensors

Marine propellers made of fibre-reinforced composites have demonstrated the potential to outperform metallic propellers in terms of efficiency and under-water noise radiation. For full realisation of this potential in a tailored design process with realistic constraints, accurate information on the hydrodynamic loads acting on composite marine propellers and the structural integrity is of key importance. It is conceptualised that this information can be acquired without disturbing propeller hydrodynamics using a network of piezoelectric sensors embedded inside the blade. In this paper, feasibility of this concept has been investigated numerically and experimentally. Hydrodynamic loads on a composite propeller obtained from numerical simulations were used to assess the sensitivity of piezoelectric sensors in measuring the dynamic strain field due to the blade deformation. Subsequently, 25 small-scale carbon-epoxy composite samples were manufactured with embedded piezoelectric wafer sensors of different sizes, and subjected to non-destructive and destructive loading scenarios. Feasibility of measuring strains at different frequency ranges and damage-induced acoustic emissions was quantitatively assessed from these experiments. Furthermore, the influence of the embedded sensors on the ultimate strength and toughness of the specimens was investigated. It was found that at least 92% of the studied propeller blade would have dynamic strains measurable up to the first four harmonics by the considered piezoelectric sensors. In a four-point bending setup, it was additionally demonstrated that the embedded piezoelectric sensor captured damage-induced acoustic emissions up to specimen failure with an average signal to noise ratio of 17 dB. The results indicate that embedded piezoelectric sensor networks can have the capability to measure both low-frequency dynamic strains in composite marine propeller blades and damage-related acoustic emissions.

CONSERVATION OF IMPERIL ORCHIDS: CLESIOCENTRON PALLENS (CATHCART EX LINDL.) PEARCE & CRIBB AND PHALEONOPSIS MANNII RCHB.F. THROUGH IN VITRO SEED PROPAGATION

Cleisocentron pallens and Phalaenopsis mannii, two spectacular orchids of North East India having highly medicinal and ornamental values with prominent existence in APENDIX-II of CITES. The present scenario of habitat destruction, unsustainable harvesting and global climate change is affecting the distribution of orchids, which leads to rapid depletion from nature. The study deals with mass multiplication of C. pallens and P mannii through in-vitro seed propagation for future conservation strategies. In C. pallens, highest germination percentage (89.35%) of was observed in Mitra medium. The maximum number (11.2±1.75 cm) and length (4.75±0.58 cm) of shoot were observed in 1.5 mg l-1 BAP. Otherwise, medium containing 1.5 mgl-1 IBA showed highest number (7.3±1.33) with 4.67±1.71 cm length of root were recorded. MS media exhibited the best proliferation rates (88.6%) in P. mannii, although highest number (12.5 ±3.62) and (4.01±0.66) length of shoot found in Mitra medium supplemented with 1.5 mg/l BAP. Activated Charcoal powder plays an important role in root formation and phenolic compound exudation). Maximum (4.4±0.69) number with an average length (5.85±0.95) of root was observed in medium supplemented with 1.5mgl-1 IBA. The seedlings showed better survivality and growth increment in potting medium Brick chips: Charcoal: Sphagnum moss (1:1:2) for both the species in green house condition. Seed derived protocorm like bodies could be successfully applied for mass multiplication intended for ex situ conservation.

PECULIARITIES OF PSYCHOLOGICAL COUNSELING WITH CIVIС IDENTITY PROBLEMS

The article describes the main stages of psychological counseling work with civic identity problems, analyzes the dynamics of the civic identity of clients during counseling sessions. It was found that the request of most clients was based on deep frustration due to: disappointment in the possibilities of self-realization in the organizational environment of the state; clashes with law enforcement agencies and dissatisfaction with the legislation of their own state; unsuccessful attempts to emigrate. Clients' expectations about the results of psychological work with civic identity concerned the harmonization of relations with the state, the acceptance of their own state, and finding new resources for self-realization in the state of own citizenship. It was found that the main deformation of the civic identity of clients was their focus on the destructive game and scenario interaction with the state, which hindered the normal social self-realization of the individual and led to a constant external search for a "better" state and "better" citizenship; to a lesser extent, another deformation of civic identity was presented - its de facto unformedness. It was determined that the most common games for clients were: "The state oppresses me" (role "Victim", 33%), "If not this state" (role "Offended", 28%); less often - "Privilege" (14%), "Patriot" (14%) and "Exemplary Citizen" (11%). Psychological counseling work with games was carried out in accordance with the postulates of transactional analysis and included the following main stages: 1) awareness of the game (search for the game as a series of complementary transactions that inevitably lead to a destructive result in relations with the state and in civic self-realization), formulation of the thesis (the main purpose of the game), finding clients’ psychological gain, as well as a discussion of the antithesis of the game, the ability to stop it, get out of the game; 2) manifestation of mechanisms of imitation and internalization of civic thinking stereotypes in clients’ childhood in order to find the moment of "beginning" of this game; 3) analysis of the sources of subject-object / object-subject paradigm of the individual's relationship with the state and possible emotional fixations in positions of civic protest or civic conformity, identification of "trigger" situations that trigger the mechanism of game transactions; 4) development of new (non-game) ways of behavior in "trigger" situations of interaction with the state. A comparative analysis of the results before and after psychological counseling showed an increase in the conceptuality and subjective orientation of civic identity, as well as increasing its hierarchical position (representation) in the structure of other personal identities.

Возможности применения сказкотерапии в работе с деструктивными психологическими сценариями первокурсников образовательных учреждений высшего образования

The article considers one of such obstacles to qualitative constructive changes in personality development, namely the destructive behavioral scenario. Many people repeatedly lose certain behavioral scenarios without realizing their constructiveness or destructiveness. Close people in the process of raising a child influence the formation of beliefs, values and norms, including through fairy tales, initially offering certain fairy tales to the child, guided by their own preferences and assessments of the actions of the characters. Recently, this genre of folk folklore has been actively used in psychology and pedagogy as an element of correction.
 The purpose of the study was to identify destructive behavioral scenarios. The communicative-cognitive and psychosomatic approaches were used, the study was conducted in the 2019-2020 academic year in educational institutions of higher education of the Moscow region. The respondents of the study were 60 first-year students of various (average age 18.7 years). Male and female students were equally present.
 The results of the study show that first-year students of educational institutions of higher education demonstrate a certain attitude towards themselves and the world, reflected in the fundamental resource life attitudes formed in childhood through fairy tales. This attitude affects their current state, which is characterized by a commitment to the previous lifestyle, but also a desire for transformations associated with a change in the social situation of development

Analysis of the likelihood of quantum computing proliferation

Quantum computing technology has demonstrated the potential to outperform classical computing systems in a variety of different areas. Worldwide, research within the past decade has included the development of quantum computing systems for key national security-related areas such as encryption, machine learning, and simulation. While some pursue quantum computing's potential to unlock the secrets of physics and to facilitate the development of new chemicals to aid all of humanity, it also has demonstrable military uses. Nation states that have access to quantum computing capabilities will have attack and defensive capabilities that states without this capability lack. Moreover, superior quantum computing resources and greater capabilities of those resources can provide possessing states with significant cyberwar fighting benefits. This paper considers how the current situation mirrors the nuclear mutual assured destruction scenario of the cold war and the more recent cybersecurity-related assured deterrence scenarios. Based on this, it discusses how there may be a perceived necessity for quantum computing development that could lead to a proliferation scenario. Herein, the benefits of increased prevalence of quantum computing technology are discussed, as are its potential weaponized uses. The potential risks to nation states of falling behind in quantum computing development are considered, and the implications for state computing development planning, based on the prospective eventuation of a quantum proliferation scenario based on an assured destruction risk, are assessed.

Are hierarchically formed embedded star clusters surviving gas expulsion depending on their initial conditions?

ABSTRACT We investigate the dissolution process of young embedded star clusters with different primordial mass segregation levels using fractal distributions by means of N-body simulations. We combine several star clusters in virial and subvirial global states with Plummer and uniform density profiles to mimic the gas. The star clusters have masses of Mstars = 500 M⊙ that follow an initial mass function where the stars have maximum distance from the centre of r = 1.5 pc. The clusters are placed in clouds that at the same radius have masses of Mcloud = 2000 M⊙, resulting in star formation efficiency of 0.2. We remove the background potential instantaneously at a very early phase, mimicking the most destructive scenario of gas expulsion. The evolution of the fraction of bound stellar mass is followed for a total of 16 Myr for simulations with stellar evolution and without. We compare our results with previous works using equal-mass particles where an analytical physical model was used to estimate the bound mass fraction after gas expulsion. We find that independent of the initial condition, the fraction of bound stellar mass can be well predicted just right after the gas expulsion but tends to be lower at later stages, as these systems evolve due to the stronger two-body interactions resulting from the inclusion of a realistic initial mass function. This discrepancy is independent of the primordial mass segregation level.

Environmental and Institutional Impacts of Tidal River Management: A Case Study on Pakhimara Tidal Basin in Southwestern Bangladesh

<p>People in southwestern Bangladesh have been facing the waterlogging problem and protesting on the impacts for the nature for a long time. In the 1960s, the government introduced polders, embankments and cross dams to overcome the destructive scenario. Due to the failure of government initiatives, the local people of the coastal area cut into the polder so that the sediment deposited within the beel known as Tidal River Management (TRM). Then, TRM was applied several times in different catchments. The study was carried out from December 2018 to November 2019 to assess the positive and negative environmental and institutional impacts of TRM on Pakhimara beel in Tala Upazila (Sub-district), Satkhira District, by using the Sustainability Index of Tidal River Management (SITRM) framework. Sustainability Indices of TRM were designed to provide information on social, environmental and institutional gains. The environmental and institutional impacts were assessed by conducting household survey and Key Informant Interviews (KIIs). Agricultural impacts on crop, poultry, fisheries and vegetation, were also analyzed by comparing GIS map and agricultural production data (before and after TRM). This study investigated that Pakhimara beel was freed from waterlogging during the with-TRM event by 3,200 ha and the reduction of waterlogging increased agricultural land by 1,500 ha in 2018, compared to 2014. This study argued that only 54% of marginal farmers received crop compensation whereas 85% of crop production decreased due to TRM. For promoting sustainable TRM in the studied area, compensation should be guaranteed for all impacted parties, especially marginal farmers and the creation of employment opportunities, and settlement should be ensured.</p>

Damage classification and recovery analysis of the Chongqing, China, floods of August 2020 based on social-media data

Rapid and updated disaster-damage information is crucial for making time-sensitive decisions. Social-media networks facilitate the dissemination of emergency information, which has been investigated as a useful tool to derive and analyze damage information. Here we develop a framework for rapid damage classification and recovery monitoring for urban floods that makes use of social-media big data (specifically, Weibo) by using an example that happened in Chongqing, China, from 18 to 20 August 2020. We first investigated the damage categories, including physical damage and emotional damage based on machine-learning classification algorithms. Then, we adopted a statistical model to measure the influencing factors of emotional responses to victims. Finally, we examined the ability of recovery based on keyword frequency representing flood destructive scenarios. We find that social-media data can be used to measure the level of damage and the state of the recovery. In the case we studied, regions with more physical damage tended to express more negative emotions, and government employees tended to convey positive information to reduce public panic when disaster occurs, while students were more likely to express negative emotions. The framework presented in this article provides a feasible way to obtain on-site damage information prior to conducting comprehensive surveys in disaster-stricken areas, which is helpful for real-time managing strategies for regional flood mitigation, as well managing as the sustainable development of flood-prone areas.

Linking the minimum spanning tree and edge betweenness to understand arterial corridors in an ecological network

Redundancy is a typical characteristic of complex networks. In ecological networks, redundancy also exists in the connectivity between key nodes. Understanding the redundant structure of an ecological network and identifying the backbone structure is very important in maintaining the stability of the ecological network system. Using Shenzhen City as an example, we aimed to construct an ecological network and identify its arterial corridors. A protection plan for arterial corridors is proposed through network analysis. Using the concept of edge betweenness and a minimum spanning tree, we identified the arterial corridors in the ecological network. Four corridor destruction scenarios were considered: random destruction, urban sprawl, ecological control line, and arterial corridor scenarios. The ecological network stability under the four scenarios is explored based on a network robustness analysis. The ecological network covers 32 important habitats and 49 ecological corridors. Among them, 31 arterial corridors connect 32 important habitats, forming the backbone structure of the ecological network. Both the control line policy and protection plan of the arterial corridor play a role in maintaining the stability of the ecological network. The stability of the ecological network under the arterial corridor protection scheme was 6% higher than that under the control line one. This study provides an effective method for identifying arterial corridors in an ecological network. Protecting the arterial corridors and the redundant corridors based on edge betweenness can maintain the stability of the ecological network to the greatest extent. Our study has reference significance for the hierarchical protection of ecological corridors.

Laboratory tests on a hybrid SDR approach for jacket platforms via improved dynamic-reduction system

The improvement of robust skills for early defect recognition for fixed marine structures is crucial to avoid the possible catastrophe caused by structural degradation. This paper presents an approach for defect recognition based on vibration measurements that is capable of detecting the defect to individual members of offshore jacket platforms, when limited, spatially incomplete modal datum is available. Generally, model reduction is better than modal expansion. Hereof, this paper investigates the developed new defect recognition method using improved dynamic-reduction system. The approach needs only one mode shape. The approach first updates the modal datum. Then, an efficient technique is applied to create a transformation matrix. This matrix is utilized to correct / or refine the nominal eigenvectors so that the updated model is well-matched with the experimental modal data. In this regard and also to conquer the uncertainties between numerically and experimentally identified features, laboratory vibration tests are accompanied on a physical platform model. The efficiency of the approach is validated by different destruction scenarios foreseen on the physical model. The proposed defect recognition approach in conjunction with iterative dynamic reduction approach yields the best defect location and severity estimate. Proposed technique is considered because of practical considerations and expansion of such methodologies would be extremely useful for offshore jacket structure.