Security Objectives Research Articles

Rhizosphere microecological mechanism of carbon sequestration and its emission mitigation in rice ratooning

Rice ratooning plays a critical role in mitigating global climate change and enhancing soil carbon sequestration due to its properties of carbon fixation and emission reduction. The rhizosphere micro-ecosystem emerges as one of the key determinants, thus it is highly significant to investigate the impact changes in rhizosphere microbial composition on the ecological mechanisms associated with carbon sequestration and emission reduction in paddy fields. Over two consecutive years, this study analyzed greenhouse gas emission characteristics, photosynthetic carbon assimilation patterns, and rhizosphere microenvironmental differences between the main crop (MC) and ratoon season rice (RSR) using four rice varieties with distinct growth stages and genetic traits. The results demonstrated that compared to MC, RSR reduced the daily average methane (CH₄) emissions from paddy field by 57.78∼64.31 %, while decreasing the distribution of photosynthetic products to the rhizosphere soil by 78.15 %. 16S rRNA sequencing revealed a significant increase in the abundance of autotrophic microorganisms, and the carbon-fixing bacterium Pseudarthrobacter was isolated and identified in RSR soil. The exogenous addition of this microorganism increased the soil organic carbon (SOC) content of RSR by 4.65 %, while simultaneously reducing CH₄ emissions from paddy fields by 26.25 %. The significant increase in autotrophic carbon-fixing bacteria in the rhizosphere soil is one of the key micro-ecological mechanisms driving carbon sequestration and emission reduction in paddy fields. This is attributed to the reduced allocation of photosynthetic carbon assimilation products to the belowground components, thereby promoting the abundance of autotrophic carbon-fixing bacteria in RSR field. Consequently, the ecological niche width of heterotrophic microorganisms, such as methanogens, is reduced, while autotrophic carbon-fixing bacteria mitigate greenhouse gas emissions from RSR field by fixing CO₂ and increasing SOC content. The findings offer valuable theoretical and practical perspectives on attaining the overarching objectives of carbon neutrality and food security.

Estimates of optimal supplies of animal-sourced foods differ by food system goal and socioeconomic context

Reduced consumption of animal-sourced food (ASF) has been recommended for environmental and human health objectives; however, ASF can be important for food security and diet affordability. We explored country-level relationships among various metrics of food supply, socioeconomic context, food security, diet affordability, and agricultural greenhouse gas emissions (GHGe) to characterize how optimal inclusion ranges for ASF vary with socioeconomic factors and food system goals. Data from 2015 to 2022 for 153 countries were sourced to generate Bayesian Networks representing relationships among the studied food system metrics. Networks were used in simulations to characterize optimal ASF inclusion to achieve environmental, food security, or diet affordability goals based on individual country data. Results are most appropriately interpreted in aggregate rather than as representations of specific countries due in large part to data limitations. Across countries simulated, median total ASF inclusion in the food supply to support food security, GHGe, or affordability objectives was 18.2% ± 12.1%, 11.9% ± 6.8%, and 17.6% ± 8.5%, respectively. Joint optimization for these goals resulted in median ASF inclusion of 15.1% ± 7.2%, with notable regional differences. Although ASF increases were supported in most developing regions, decreases were supported in developed countries. The reported SD in optimal ASF inclusion were considerable, and represented between-country variation. Empirical relationships of food categories to goals consistently favored dairy and egg products over meats. These results support previous literature highlighting the environmental intensity of ASF, but also indicate that moderate ASF supplies contribute to multiple food system goals simultaneously.

Correction to: ReSOTS: RFID/IoT-Enabled Secure Object Tracking Key Exchange for Trustworthy Smart Logistics

Correction to: ReSOTS: RFID/IoT-Enabled Secure Object Tracking Key Exchange for Trustworthy Smart Logistics

Eco-power management system with operation and voltage security objectives of distribution system operator considering networked virtual power plants with electric vehicles parking lot and price-based demand response

In the energy management of a network, it is expected that by extracting the optimal performance for the power sources, storage equipment, and responsive demand, a favorable economic and technology situation is achievable for the network and the mentioned elements. Virtual power plants, as a unit aggregating resources, storage, and responsive loads, can create more favorable conditions in network energy management. So, it is expected that the positive effect of the virtual power plant format on the economic and technical situation of the distribution system is far more than those of managing individual elements mentioned in the network. Consequently, the distribution network operator's economic, environmental, and technical goals are met through the concurrent administration of reactive and active power in the smart distribution network that is equipped with a flexible-sustainable virtual power plant. The system operator is accountable for reducing the weighted sum of the voltage security index, energy loss, and energy cost of the distribution network. This problem is associated with the optimal power flow formulation, which considers the environmental limits and security of voltage in the distribution network, the renewable resource operation model and flexibility in the form of a virtual power plant, and the system's flexibility constraints. Flexibility resources considered in the present study are price-based demand response and electric vehicle parking lots. Stochastic optimization relying on the Unscented Transform assists in providing a suitable model for uncertain quantities resulting from the amount of load, electric vehicles, renewable power, and price of energy and eventually shortens the computing time and accurately computes the flexibility index. The optimal compromise solution amongst various objective functions can be found through fuzzy decision-making. Some innovations of this research include concurrent administration of active and reactive power in virtual power plant, concurrent modeling of economic, operational, environmental, voltage security, and flexibility indicators in the distribution network, utilization of electric vehicles, and demand response as a source of flexibility, use of Unscented transform for modeling the uncertainties corresponding to the exact calculation of flexibility. The suggested method was simulated in the IEEE 69-bus radial smart distribution system. Regarding the numerical report obtained, the optimal performance of each of the renewable generation, demand response, and parking of electric vehicles can significantly impact the economic and technical condition of the distribution network. However, the best condition was obtained when the mentioned elements were placed in the form of a virtual power plant. So, in such a situation, the energy cost is around $1862 for the said network. The lowest value for the worst security index in this network is around 0.933 p.u. Energy loss, maximum voltage drop, and peak load carrying capability are equal to 1.902 MWh, 0.047 p.u., and 5.624 MW, respectively. As a result, and based on numerical findings, the method can attain sustainable social welfare. The optimal power scheduling of sustainable systems can enhance the economic, security of voltage, and operational, conditions of the network by roughly 43 %, 26.9 %, and 47 %-62 %, respectively, compared to power flow studies. Furthermore, the ideal administration of virtual power plants enables the proposed plan to achieve 100 % flexibility. Additionally, it can substantially diminish the degree of contamination within the distribution network.

Explaining the EU’s policy shift toward China: an institutional approach

ABSTRACT The foreign policy of the EU has long been criticized for prioritizing ‘expediency above principles’ and failing to ‘speak in a single voice.’ However, its strategy toward China has demonstrated a surprisingly coordinated shift over the past decade – one that requires a theoretical explanation. By problematizing existing approaches that focus on either individual policy sectors or the international system, this article introduces an institutional approach. This approach emphasizes the role of the EU’s fundamental objectives and the institutional framework supporting them in explaining the EU’s policy shift toward third countries. Drawing on evidence from official documents, news reports, and interviews with policymakers, this article illustrates how the rise of China has challenged the EU’s fundamental objectives of prosperity and security, which further intensifies the existing value conflicts between Brussels and Beijing. This article contributes to the scholarly discussion of the interplay between global disorder and European integration.

The Formation of Neighborhood Police and Its Impact on the Maintenance of Security and Public Order (Harkamtibmas) at Surabaya Metropolitan Police

This study aims to analyze the implementation of the Neighborhood Police (Polisi RW) policy in efforts to improve public security and order. The research method employed is descriptive analysis with a qualitative approach, involving data collection through interviews, observations, and document review. The findings show that the implementation stages, including planning, socialization, execution, monitoring, evaluation, and development, have had a positive impact, such as increased public awareness, active participation, and more efficient coordination in handling security issues. Another finding reveals that the Prototype model is more relevant than the Incremental model for the Neighborhood Police program, as it allows for rapid feedback and continuous improvement. This study recommends that Regional and City or Regency Police Departments adopt a Prototype-based approach and enhance community involvement in the program to achieve more effective security objectives.

Vietnamese transitive cognate objects revisited

Abstract A cognate object construction (COC) is a construction in which a typically intransitive verb combines with a nominal phrase that has the same meaning or the same morphological stem, e.g., live a happy life. In the literature, the syntactic status of cognate objects (CO) is one of the most debated issues. Pham (1999) observes that in Vietnamese, COs can occur with transitive verbs in both the direct object and indirect object position. She concludes that examples of direct COs provide evidence for the view that COs are arguments, and the existence of indirect COs shows that they can also be indirect objects. First, this paper argues that direct COs cannot be treated as evidence for the argument status of COs since they are not additional arguments. Moreover, they are not nouns but classifiers. Second, indirect COs are not indirect objects but prepositional objects in an adverbial prepositional phrase. These findings reveal that Vietnamese transitive COs are complex and different from the description in Pham’s study. It is important to make a clear distinction between these transitive COs and intransitive COs, especially in cross-linguistic research.

Leveraging Multi-Agent Reinforcement Learning for Digital Transformation in Supply Chain Inventory Optimization

In today’s volatile supply chain (SC) environment, competition has shifted beyond individual companies to the entire SC ecosystem. Reducing overall SC costs is crucial for success and benefits all participants. One effective approach to achieve this is through digital transformation, enhancing SC coordination via information sharing, and establishing decision policies among entities. However, the risk of unauthorized leakage of sensitive information poses a significant challenge. We aim to propose a Privacy-preserving Multi-agent Reinforcement Learning (PMaRL) method to enhance SC visibility, coordination, and performance during inventory management while effectively mitigating the risk of information leakage by leveraging machine learning techniques. The SC inventory policies are optimized using multi-agent reinforcement learning with additional SC connectivity information to improve training performance. The simulation-based evaluation results illustrate that the PMaRL method surpasses traditional optimization methods in achieving cost performance comparable to full visibility methods, all while preserving privacy. This research addresses the dual objectives of information security and cost reduction in SC inventory management, aligning with the broader trend of digital transformation.

The management methods in the sphere of state security in conditions of social transformation

The article is dedicated to the investigation of management methods in the field of state security during periods of social transformation. It addresses the importance of adapting governance strategies to contemporary challenges, especially in the context of Ukraine’s ongoing crisis and global instability. Emphasis is placed on the development of comprehensive management approaches that not only react to current threats but also anticipate future challenges. The relevance of the study is underlined by the need for strategic planning and proactive implementation of policies to safeguard national interests and ensure long-term stability. The article emphasizes the necessity of effective cooperation between public administration entities to guarantee the resilience of the national security system. The author notes that the success of state security management heavily depends on the integration of political, legal, and organizational mechanisms. The focus is on how these mechanisms contribute to the implementation of Ukraine’s National Security Strategy, aiming to protect the country’s territorial integrity and facilitate its European integration efforts. Special attention is given to the reform of public administration, stressing the importance of transparency and professionalism in law enforcement and strategic management. The author indicates that effective governance in the security sector requires enhanced coordination among various governmental bodies. The importance of information exchange, joint training, and the development of new technological solutions is highlighted as key methods for addressing modern security threats such as terrorism, cyberattacks, and organized crime. The study also points out the need for continuous professional development and reform in public administration to ensure that national security objectives are met in a timely and effective manner. Particular attention is paid to the interaction between different state institutions and the importance of coordinated efforts to respond to security threats. The article underscores the need for a dynamic and adaptable governance system, one that can respond swiftly to both domestic and international challenges. This includes the development of innovative approaches to governance, strategic planning, and the use of cutting-edge technologies. Ultimately, the study calls for the continuous improvement of public administration in the security sector, to build a sustainable and secure future for Ukraine.

PROSPECTS FOR THE INTEGRATION OF UKRAINE'S NATIONAL SECURITY MECHANISMS WITH THE COLLECTIVE SECURITY SYSTEMS OF THE EU AND NATO

This article examines the prospects for integrating Ukraine's national security mechanisms with the collective security systems of the European Union and NATO. The study addresses the current challenges and opportunities arising from Ukraine's efforts to align its national security policy with the standards and requirements of international security organizations. The analysis underscores the significance of this integration in the context of ongoing geopolitical tensions and the necessity for enhanced cooperation in safeguarding national and regional security. Utilizing a qualitative research methodology, the article employs a comprehensive literature review, analyzing existing frameworks, policies, and strategic documents relevant to Ukraine's security landscape. Comparative analysis is also applied to assess the effectiveness of Ukraine's security initiatives against those of EU and NATO member states, identifying best practices that can be adapted to the Ukrainian context. The findings reveal critical areas of cooperation, including military interoperability, intelligence sharing, and joint training exercises, which are essential for strengthening Ukraine's defense capabilities. The article further explores the legal, institutional, and operational frameworks necessary for harmonizing Ukraine's security strategies with those of its partners, emphasizing the importance of aligning legislative measures and defense policies with EU and NATO standards. In conclusion, the article advocates for a strategic approach to integration that prioritizes resilience and adaptability within Ukraine's national security mechanisms. By enhancing collaboration with EU and NATO, Ukraine can bolster its security architecture, thereby contributing to regional stability and collective defense initiatives. The recommendations presented aim to guide policymakers in implementing effective strategies for fostering greater alignment with international security frameworks, ensuring a robust response to evolving threats in the region. Through these measures, Ukraine can not only advance its national security objectives but also play a pivotal role in the broader European security landscape.

Navigating the legal uncertainty around the governance of an integrated energy system using the values of the energy transition and energy justice

AbstractIn order to realise the European Union's (EU) transition to clean and carbon‐neutral energy systems, various individual infrastructure systems and energy networks will have to coordinate and operate as an integrated energy system. Traditionally, these different infrastructure systems operate within their own sectors and are governed by separate legal regimes. The intersection of these different legal rules and interests creates regulatory uncertainty and risk for infrastructure operators and can dissuade operators from participating in system integration. This paper explores how infrastructure operators can overcome the legal uncertainty and regulatory risks of operating as an integrated system, whilst also ensuring that the policy objectives of the energy transition are realised. This paper argues that, by pursuing public values and energy justice principles, infrastructure operators will overcome the legal uncertainty surrounding system integration. By doing so, infrastructure operators will facilitate the realisation of an energy transition that is just, inclusive and in the public interest.

Harnessing big data for national security: A review of information systems and emerging technologies in the U.S

The rapid growth of big data and emerging technologies has fundamentally transformed the national security landscape, enabling governments to leverage vast amounts of information for decision-making, threat detection, and operational effectiveness. This review explores the integration of big data analytics into U.S. national security systems, focusing on the technological innovations that facilitate real-time data processing, secure communications, and predictive analytics. Key emerging technologies, such as artificial intelligence, blockchain, and the Internet of Things, are evaluated for their role in enhancing intelligence gathering, cybersecurity, and surveillance operations. Furthermore, the paper examines the foundational principles of big data in national security, detailing its data sources, types, and uses in both structured and unstructured forms. While these advancements present significant opportunities, they also pose challenges related to privacy, ethics, policy, and legal frameworks, which are critical for ensuring that the implementation of such technologies aligns with democratic values and security objectives. The paper concludes by highlighting future research directions, emphasizing the need for continued development in big data infrastructure, governance, and ethical considerations to fully harness its potential in protecting national interests.

A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction

Understanding the current threat landscape as well as timely detection of imminent attacks are primary objectives of cyber security. Through time-series modeling of security data, such as event logs, alerts, or incidents, analysts take a step towards these goals. On the one hand, extrapolating time-series to predict future occurrences of attacks and vulnerabilities is able to support decision-making and preparation against threats. On the other hand, detection of model deviations as anomalies can point to suspicious outliers and thereby disclose cyber attacks. However, since the set of available techniques for time-series analysis is just as diverse as the research domains in the area of cyber security analytics, it can be difficult for analysts to understand which approaches fit the properties of security data at hand. This paper therefore conducts a broad literature review in research domains that leverage time-series analysis for cyber security analytics, with focus on available techniques, data sets, and challenges imposed by applications or feature properties. The results of our study indicate that relevant approaches range from detective systems ingesting short-term and low-level events to models that produce long-term forecasts of high-level attack cases.

Determining optimal parameters of algebraic fractals in zero-knowledge authentication protocols

Most information systems, especially on the Internet, have a distributed architecture with remote access and an insecure communication channel. In such systems, the tasks of permanent authorization mean implementing time intervals of user work without re-authentication are especially actual. The problem is that repeatedly sending a password increases the likelihood of it corruption. One solution is to use zero-knowledge protocols. In these protocols, passwords are not transmitted over the channel but are included in the algorithms as parameters. However, the computational complexity, as well as the finite number of passwords, limit their use, ensuring the relevance of further research. Focusing on object of the exchange protocols security, the use of algebraic fractal sets has been proposed as a potentially infinite source of data for passwords. In this work, algorithms were developed, implemented, and tested, which proved the higher reliability of fractal protocols in comparison with the reference generator of random bits (with an error probability of 0.5). It was also noted that the calculation operations have an insignificant influence on the overall time complexity of the exchange protocol as a whole. Practical recommendations for the use of fractals with a Hausdorff dimensionally of about 1.6 on the boundary of the Mandelbrot set are given. The paper also highlights the advantages of including color information in fractal sets, which gives about 3 times improving of confidential security indicators of communication protocol. The proposed algorithms do not require specialized software and can be implemented in the majority of network information systems as an additional module.

The fast rise of the unusual type IIL/IIb SN 2018ivc

We present an analysis of the photometric and spectroscopic dataset of the type II supernova (SN) 2018ivc in the nearby (10 Mpc) galaxy Messier 77. Thanks to our high-cadence data, we observed the SN rising very rapidly by nearly three magnitudes in five hours (or 18 mag d$^ $). The $r$-band light curve presents four distinct phases: the maximum light, which was reached in just one day, followed by a first, rapid linear decline and a short-duration plateau. Finally, the long, slower linear decline lasted for one year. Thanks to the ensuing radio re-brightening, we were able to detect SN 2018ivc four years after the explosion. The early spectra show a blue, nearly featureless continuum, but the spectra go on to evolve rapidly; after about ten days, a prominent Halpha line starts to emerge, characterised by a peculiar profile. However, the spectra are heavily contaminated by emission lines from the host galaxy. The He I lines, namely $ are also strong. In addition, strong absorption from the Na I doublet is evident and indicative of a non-negligible internal reddening. From its equivalent width, we derived a lower limit on the host reddening of $A_V mag. From the Balmer decrement and a match of the $B-V$ colour curve of SN 2018ivc to that of the comparison objects, we obtained a host reddening of $A_V mag. The spectra are similar to those of SNe II, but with strong He lines. Given the peculiar light curve and spectral features, we suggest SN 2018ivc could be a transitional object between the type IIL and type IIb SNe classes. In addition, we found signs of an interaction with the circum-stellar medium (CSM) in the light curve, also making SN 2018ivc an interacting event. Finally, we modelled the early multi-band light curves and photospheric velocity of SN 2018ivc to estimate the physical parameters of the explosion and CSM.

Data retention in the light of copyright infringements: Protecting the status quo or seeking a third way? (Case C-470/21 La Quadrature du Net II)

In La Quadrature du Net II, the EU Court of Justice addressed – once again – the issue of the application of national retention legislation providing for the generalized retention of telecommunications data. This time, unlike in the previous cases, the problem was examined not in relation to measures used in the areas of combating serious crime or pursuing national security objectives, but in relation to counteracting online copyright infringements. Hence the case, decided by the CJEU sitting as the Full Court, concerned an important and topical issue, namely the possibility of countering mass copyright infringements in a situation where, according to a strict reading of the previous case law, the permissibility of imposing an obligation on telecommunications operators to collect information on users’ IP addresses was questioned. The LQDN II judgment – commented on by some as diverging from previous case law – is an important and necessary complement to the Court's earlier interpretation and, at the same time, a guideline on how to design retention laws to be applied not only in the area of countering copyright infringements, but also in other important areas, such as the fight against hate speech.

Rethinking Human Security Through Feminist Lenses

At the beginning of the 2000s, the increased salience of the concept of human security was a welcome development both in academic and policy circles. Problematizing the state's central role as the principal object of security allowed human beings' security needs and concerns to be put in front and center, at least in theory, if not necessarily in practice. The increasing traction the concept got also allowed several non-traditional security threats, such as environment, health and migration, to be approached through security lenses and put on security agendas. Despite the burgeoning literature and the notable frequency at which the concept of human security got incorporated into policy discussions, it has lost, at least partially, its analytical traction and policy saliency. The lack of a clear definition as well as vague and tactical use of the concept by policymakers have raised concerns about the human security concept turning into an empty signifier. While the human security concept was welcome by some feminist approaches, it is also criticized by others. This article aims to discuss the human security concept through different feminist perspectives and understand its adaptability in the field based on a comparative interpretive analysis of feminist foreign policy initiatives by Sweden, Canada, Mexico, France, Germany, Spain, Chile and Luxembourg. To realize this aim, we analyze the conceptualization and implementation of feminist foreign policies and how they put the human security approach into practice. We seek to problematize how feminist foreign policies tackle the ambiguities and limitations within the human security framework, and to what degree these policies confront or maintain current power dynamics and state-centered security models. We argue that feminist foreign policies do highlight the problems related to gender equality and contribute to their solutions, but do not challenge patriarchy and the power relations behind it. As such, while they contribute to better implementation of human security as a guiding principle for foreign policy, conventional foreign policy concerns limit the change they can create on the ground.

Securing Democracy? The National Security State Revisited

ABSTRACT The “national security state” concept traditionally examines the interplay between security imperatives and democratic governance in the United States. While research has expanded it, further refinement is needed. This paper advocates for its universal relevance to democracies, shedding light on political reorganization driven by national security objectives. A qualitative analysis of prior studies reveals six core attributes of the concept, enhanced to formulate a robust definition that embodies its theoretical and analytical complexities in the disciplinary history of security studies. The resulting framework is instrumental in exploring how states balance the quest for security with democratic principles.

Comprehensive Analysis of Security Requirements Engineering Approaches with Assurance Perspective

Given the wide distribution of software and its current growth, security is inevitable, and software systems have become more complex. To avoid the complexity and protect valuable assets of software systems, researchers, and practitioners in the fields of security requirement engineering (SRE) and security assurance advise incorporating security requirements early in software development life cycle (SDLC). Nowadays, security requirements specification and identification are an active research area for ensuring the effectiveness of software systems. However, security requirement identification is a challenging task due to sheer numbers of threats and attacks to a software system. Previous researchers have identified different SRE techniques, each looking at the same problem from a different perspective. Therefore, a literature review conducted on SRE techniques. We compared and analyzed different SRE techniques to find the most suitable SRE techniques for researchers and practitioners. Selected SRE techniques compared based on various parameters, such as different attributes, requirement elicitation, requirement analysis, project size, and integration of standards. The literature also indicates that among SRE approaches, security quality requirements engineering (SQAURE), secure tropos, security requirements engineering process (SREP), and comprehensive lightweight application security process (CLASP) are the most used SRE approaches that focus on activities such as threats, security requirements identification, and security objectives identification. Unfortunately, several SRE approaches fail to explicitly integrate the security standard and security assurance perspective. Three questions developed for this study: Question 1 is based on comparison of existing SRE approaches, Question 2 is based on SRE with security requirements elicitation and analysis, and Question 3 highlights the incorporation of security requirements assurance by SRE approaches implicitly or explicitly. The researcher must work with the developer to easily adopt SRE approaches to elicit and ensure security requirements for the software system.

Characterizing the Rapid Hydrogen Disappearance in SN 2022crv: Evidence of a Continuum between Type Ib and IIb Supernova Properties

We present optical and near-infrared (NIR) observations of SN 2022crv, a stripped-envelope supernova in NGC 3054, discovered within 12 hr of explosion by the Distance Less Than 40 Mpc Survey. We suggest that SN 2022crv is a transitional object on the continuum between Type Ib supernovae (SNe Ib) and Type IIb supernovae (SNe IIb). A high-velocity hydrogen feature (∼ −20,000 to −16,000 km s−1) was conspicuous in SN 2022crv at early phases, and then quickly disappeared. We find that a hydrogen envelope of ∼10−3 M ⊙ can reproduce the observed behavior of the hydrogen feature. The lack of early envelope cooling emission implies that SN 2022crv had a compact progenitor with an extremely low amount of hydrogen. A nebular spectral analysis shows that SN 2022crv is consistent with the explosion of a He star with a final mass of ∼4.5–5.6 M ⊙ that evolved from a ∼16 to 22 M ⊙ zero-age main-sequence star in a binary system with ∼1.0–1.7 M ⊙ of oxygen finally synthesized in the core. In order to retain such a small amount of hydrogen, the initial orbital separation of the binary system is likely larger than ∼1000 R ⊙. The NIR spectra of SN 2022crv show a unique absorption feature on the blue side of the He i line at ∼1.005 μm. This is the first time such a feature has been observed in SNe Ib/IIb, and it could be due to Sr II. Further detailed modeling of SN 2022crv can shed light on the progenitor and the origin of the mysterious absorption feature in the NIR.