Specific Framework Research Articles

A qualitative study on Problems of Young People and Ways of Religious Coping in Türkiye

The aim of the research is to investigate the problems young people face in Turkey and to examine the religious coping mechanisms they use to cope with these problems. A total of 353 students from Turkey participated, including 190 high school and 163 university students. The research, conducted in April 2024, employed two different methods for data collection: Written data were gathered directly from high school students through interviews, while questionnaires were distributed to university students and collected by the researcher. We used semi-structured interviews based on a specific framework, asking participants three comprehensive, open-ended questions. After conducting a content analysis on the data, the researcher categorized the data thematically according to the content. According to the findings of the research based on the available data, the problems faced by young people are classified under three main headings: individual, social and existential issues. Individual problems included gender roles, sexuality, religious doubts, stress, addiction, and loneliness. Social problems consist of local and popular culture, violence, concerns about the future, difficulties in finding a profession, the education process, marriage, and family communication. Existential problems include such issues as the meaning of life, death, and belief in God. The study revealed that young people often resort to religious coping strategies to handle these challenges. Among these strategies, such practices as trusting and believing in Allah, prayer (salat) and supplication (dua), expressing gratitude, repentance, ablution, going to the mosque, reading the Qur'an, participating in religious conversations and volunteering services become prominent. As a result, it was determined that religious coping strategies are an important part of the daily lives of young people in Turkey and that these strategies play an important role in coping with individual, social, and existential challenges. Unlike studies that generally address psychological or social elements, this research highlights the role of religious practices as a coping mechanism.

Hemoglobin targeting potential of aminocarb pesticide: Investigation into dynamics, conformational stability, and energetics in solvent environment

Aminocarb (AMC), a carbamate pesticide, due to its prevalent usage exhibits increased accumulation in the environment affecting both insects and humans. It enters the human body via food grains and be transported through bloodstream. AMC's chemical structure, containing specific molecular frameworks and functional groups, enables it to bind with proteins like albumin and hemoglobin. Given that molecules with similar architecture are known to bind with hemoglobin, we aimed to explore Aminocarb's binding capability and the potential mechanism or mode of its interaction with hemoglobin. Hb being a tetramer with a profound interface between amino acid chains offers multiple binding sites. It is therefore important to investigate the structural aspects of binding of AMC by employing various spectroscopic and in-silico methods. The surface of the α1 chain near the α1β2 interface emerges as the preferred binding site for AMC, primarily due to its conformational restrictions. In its bound state, AMC tends to maintain a relaxed conformation, closely resembling its globally optimized geometry, and resides in close proximity to the α1 chain via multiple hydrophobic contacts and water bridge as observed in molecular dynamics (MD) simulations. Fluorescence quenching experiments showed moderate binding strength (7.7 × 10⁴ L M⁻1 at 288 K, 7.8 × 10⁴ L M⁻1 at 298 K, 7.9 × 10⁴ L M⁻1 at 308 K) and spontaneous binding, driven by hydrophobic and van der Waals interactions, as indicated by enthalpy (0.80–0.91 kJ mol⁻1), entropy (0.0970–0.0974 kJ mol⁻1), and Gibbs free energy (−27.13 to - 29.08 kJ mol⁻1). Circular dichroism experiments reveal no major structural changes in Hb. Quantum chemical calculations and MD simulations reveal conformation-dependent energy differences, enhancing our understanding of AMC's binding mechanism to Hb.

Measurement and impact analysis of social vulnerability to geological disasters in Guizhou Province, China

Investigating social vulnerability is a crucial aspect of attaining an in-depth understanding of disasters and disaster risk. This study developed a measurement framework for social vulnerability to geological disasters, obtained a comprehensive social vulnerability index, and compared the spatial distribution patterns of fatalities, social vulnerability, and geological disaster-prone zones. These efforts assisted in determining the strength and character of the relationship between geological disaster fatality risk and social vulnerability at the county level. The findings show that: (1) the social vulnerability to geological disasters index varies significantly between counties. High social vulnerability is primarily concentrated in Bijie City, Guizhou province, which shows concentrated clustering. Conversely, low social vulnerability is mainly concentrated in Guiyang City: (2) the spatial distribution patterns reveal the limitations of disaster exposure in explaining fatality risk and demonstrate the ability of social vulnerability to amplify disaster risk; (3) the zero-inflated negative binomial regression model fit the data significantly better than the negative binomial regression model, suggesting that for every one unit increase in the social vulnerability index, there is a 6.33% increase in the risk of fatalities, holding all other variables constant. This study establishes a specific framework for measuring social vulnerability to geological disasters and provides new evidence of how social vulnerability influences disaster risk intensity. The county-level spatial measurement results can further assist disaster management personnel in formulating more localized mitigation strategies. The findings will further support the identification of core remediation sites and the implementation of management and relocation (avoidance) projects during Guizhou Province’s 14th Five-Year Plan for geological disaster prevention and control.

Model-driven development for functional correctness of avionics systems: a verification framework for SysML specifications

AbstractCurrently, the most widespread software quality assurance methods in the avionics domain are semi-automated reviews and testing. However, their effort grows disproportionately to the size of the system under development. Also, these methods cannot achieve exhaustive coverage due to the complexity of today’s avionics systems and their potentially infinite set of combinations of possible inputs and system states. Furthermore, the later software issues are detected in the development process, the more expensive it is to fix them. To overcome these issues, a model-driven verification approach for modeling and analyzing avionics systems in early phases of the development is presented. To this end, semantics is given to SysML v2 models by a mapping to a theorem prover encoding. The development of a dedicated SysML v2 profile supporting event-driven data flow specifications, the encoding of corresponding structures in the theorem prover Isabelle, and a generator creating theorems from SysML v2 models are presented. The approach is evaluated by formally proving a representative liveness property of a hierarchical system model from the avionics domain. Since liveness properties can be negated only by infinite data sequences and thus cannot be covered exhaustively by testing, this case study demonstrates the added value for meeting typical safety requirements in the avionics domain. The results can be transferred from avionics to other domains, as well.

Liability and Compensation for Damage in Connection with the Carriage of Hazardous and Noxious Substances by Sea under Croatian Law

The quantity and volume of hazardous and noxious substances transported by ships as cargo have been increasing markedly. The trend is anticipated to persist and even accelerate in the Adriatic Sea due to the expansion of port infrastructure. Concomitantly with this expansion, the probability of incidents involving these substances, which have the potential to cause significant damage, is also on the rise. At present, the Republic of Croatia lacks the specific legal framework that would provide a comprehensive legal basis for liability, prompt, and adequate compensation for damage to persons and property, liability for clean-up, and reinstatement measure costs, and economic losses resulting from the transportation of such substances by sea. The objective of this paper is to provide an overview of the provisions of Croatian law that regulate liability and compensation in the event of such an accident. The analysis demonstrates the deficiencies of fragmented approach. Moreover, the paper examines the stipulations of the International Convention on Liability and Compensation for Damage in Connection with the Carriage of Hazardous and Noxious Substances by Sea of 2010, and the prospective advantages of its ratification. These include double-tier liability, a special regime of limitation of liability, compulsory insurance of liability and the right to direct action. In consideration of Croatia's maritime and tourist-oriented economy, the authors highlight the country's substantial interest in not only the ratification of the 2010 HNS Convention and paving the way to its entry into force, but also in amendments to the Croatian Maritime Code in that respect.

A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices

Accounting account codes are created within a specific logic framework to systematically and accurately record a company’s financial transactions. Currently, accounting reports are processed manually, which increases the likelihood of errors and slows down the process. This study aims to use image processing techniques to predict cash codes in accounting reports, automate accounting processes, improve accuracy, and save time. Deep learning embeddings from Inception V3, SqueezeNet, VGG-19, VGG-16, Painters, and DeepLoc networks were utilized in the feature extraction phase. A total of six learning algorithms, namely Logistic Regression, Gradient Boosting, Neural Network, kNN, Naive Bayes, and Stochastic Gradient Descent were employed to classify the images. The highest accuracy rate of 99.2% was achieved with the combination of the Inception V3 feature extractor and the Neural Network classifier. The results demonstrate that image processing methods significantly reduce error rates in accounting records, accelerate processes, and support sustainable accounting practices. This indicates that image processing techniques have substantial potential to contribute to digital transformation in accounting, helping businesses achieve their sustainability goals.

Application and Optimization of Novel Asymmetric Catalysts in Drug Synthesis

This study aims to develop a novel asymmetric catalyst and explore its application and optimization in drug synthesis. By designing specific organometallic frameworks and optimizing the catalytic active centers, the study successfully enhanced the efficiency and selectivity of drug synthesis. The experiments included measuring catalytic efficiency, evaluating product selectivity, and testing the recyclability of the catalyst. The results indicate that the novel catalyst not only excels in improving synthesis efficiency but also demonstrates excellent selectivity and high potential for reuse. The study also investigates various factors affecting catalyst performance and provides constructive suggestions for future research directions.

Diagnosis of the fragmentation of urban ecological network structure and its social-ecological responses.

The fragmentation of ecological network structures has become a common problem faced by cities. By establishing the urban ecological network under a specific socio-ecological system framework, we aimed to propose a quantitative index to diagnose the fragmentation of the network structure, and to construct detection model to explore the driving factors and mechanism of the network fragmentation. Using Shenzhen City as an example, we used the Floyd-Prim algorithm to generate the skeleton structure of the ecological network and construct a density discontinuity index to diagnose network fragmentation. Combined with the ecological network scenario, social-ecological system framework and a two-layer indicator system were constructed. The detection models were then established to explore the drivers of network disruption and their mode of impact. The models show that the average degree of network fragmentation in Shenzhen was 0.13, and the density of about 85% of corridor discontinuities was greater than 0.01, reflecting the serious state of structural fragmentation. Corridors with more severe structural fragmentation have poorer social-ecological coordination. The fragmentation in Shenzhen was mainly affected by the activities of actors (A) at the microlevel and the resource system (RS) at the macrolevel. The methods and the framework of socio-ecosystem analysis proposed in this paper can reveal the driving factors and influence modes of network fragmentation, providing decision-making reference for ecological restoration practice in urbanized areas.

Generalized Reilly's identity and its applications in V-static manifolds

In this paper, we explore the applications of a Reilly-type identity within the context of V-static manifolds. These manifolds are characterized by being Riemannian manifolds with a boundary, possessing constant scalar curvature, and featuring a metric that serves as a critical point for the volume functional (with a fixed metric on the boundary). We apply a Reilly-type identity due Li-Xia within this specific framework and leverage it to establish Heintze-Karcher and Minkowski inequalities for bounded domains in such manifolds. Additionally, we delve into the rigidity of both results in scenarios where equality holds.

Multimodal Hong Kong: A review of policies regarding soundscape and smellscape of Chinese temples

Many people in Hong Kong regularly visit Chinese temples, and see this not necessarily as a religious activity, but as a traditional practice. Temples represent the local intangible cultural heritage. The dense urbanity and mixed population characterise Hong Kong and make it valuable to study its sounds and smells. Most temples existed earlier than modern urban areas, which grew around them. The temple soundscape consists of drums, bells, coin donations, ventilation fans, as well as chanting, especially during festivals. The smellscape consists of ritual burning of incense and paper, fruit offerings, and building materials e.g., wood and cement. The burning causes particle pollution, health concerns, and residential nuisance, that may conflict with the wish for sustaining a valuable heritage. Smells and air quality have recently become debated, raising the question of the need for a specific regulatory framework. There is currently a lack of official provision that directly protects the sounds and smells of these temples in Hong Kong. This paper reviews the current state of Hong Kong policies in regard to soundscape and smellscape, with comparison to China and France, because of the latter's progressive agenda in preserving sensory heritage in the countryside.

Digital Game Design for Older Adults: A Conceptual Framework

The digital revolution, particularly digital games, can potentially improve older adults' lives. However, the commercialised digital games on the market are not designed specifically to help this demographic cope with the adverse effects of ageing. There are no specific guidelines or frameworks that consider the andragogy principles. We aimed to address our research question: How can older adults’ game experience influence design consideration? and discusses a framework that could aid the design and development of digital games focusing on older adults and their gaming experience. Mixed-method approach is used in this study, consisting of four stages in the research design. This article introduces and discusses the purpose, design, play and experience (PDPE) framework which has informed the development of a game prototype that was used to validate the framework by investigating older adults’ experiences.

Transformational Leadership in Muhammadiyah Association for Community Growth

Background: Transformational leadership is vital in educational settings, focusing on inspiring members to enhance performance. Specific Background: At Universitas Muhammadiyah Sidoarjo, key leaders, including the Rector, play a crucial role in creating an effective academic environment. Knowledge Gap: There is limited empirical evidence on the impact of transformational leadership on organizational performance and faculty motivation in this context. Aims: This study investigates the characteristics and effects of transformational leadership, emphasizing individualized consideration and motivational strategies. Results: The findings reveal that the Rector's leadership positively influences faculty motivation and recognition, illustrated by rewards like Umrah allowances. Novelty: This research enriches existing literature by analyzing transformational leadership within a specific educational framework. Implications: The study highlights the significance of leader recognition in higher education, suggesting that transformational practices can enhance faculty performance and promote a culture of excellence. Highlights : Impact on Motivation: Transformational leadership enhances faculty motivation through recognition and rewards. Leadership Characteristics: The Rector exemplifies individualized consideration, actively supporting faculty development. Cultural Improvement: Effective leadership fosters a culture of excellence and innovation within the institution. Keywords: transformational leadership, Muhammadiyah, faculty motivation, individualized consideration, higher education

Thinking Outside the Energetic Box: Stabilizing and Greening High-Energy Materials with Reticular Chemistry.

ConspectusReticular chemistry has provided intriguing opportunities for systematically designing porous materials with different pores by adjusting the building blocks. Among them, framework materials have demonstrated outstanding performance for the design of new functional materials used in a broad range of fields, including energetic materials. Energetic materials are widely used for rockets, satellites, mining, and tunneling. In terms of energetic materials, explosophores and nitrogen-rich heterocycles are fundamental building blocks for high-energy compounds. However, the traditional strategy of synthesizing HEDMs (high energy density materials) at the molecular level has faced the long-term challenge of balancing energy and stability. Inspired by reticular chemistry, nitrogen-rich heterocycles offer diverse nitrogen sites for designing diversified coordination interactions. Ionic bond interactions exist in a wide range of energetic salts. Furthermore, most metastable explosophores, e.g., nitro, nitramino, and amino groups, can form strong hydrogen-bonding networks. Based on these noncovalent interactions (such as coordination, ionic, and/or hydrogen bonds (HBs)) and/or covalent interactions can determine intermolecular packing/linkage of the energetic fuel and oxidizer components, reticular chemistry provides a new platform evolving from single-molecular design to various energetic frameworks (E of the energetic frameworks with superior comprehensive properties. For example, to achieve coordination with metals or introduce sufficient hydrogen bond donor/acceptor structural units, the host structure of energetic framework materials usually contains less oxygen-rich substituents such as nitro, so the host molecules of the framework, F) at the crystal level, which can enhance the integrated stabilities of EFs.Along with growing concerns about the environment and safety issues, considerable effort has been devoted to pursuing environmentally friendly and insensitive energetic materials. The newly emerging EFs are conducive to introducing explosophores into a green chemical pathway. Benefiting from these cross-disciplinary achievements, taming metastable energetic molecules in specific porous frameworks is a green strategy to desensitize energetic materials while concomitantly retaining excellent energetic properties, which has become one of the most forward and promising investigations. In the past decade, EFs have achieved further results in stabilizing and greening energetic materials using HBs, covalent bonds, and alkaline earth metal-involving coordination bonds to avoid heavy metal toxicity and to employ halogen-free oxidizers. Because this field is still expanding rapidly, it is of great value for researchers and possible users of the work to be able to view all the progress.Through this Account, we intend that more readers will become knowledgeable about EFs, including their definition, history, synthesis, properties, and possible applications. The aim of this Account is to present the latest advances in EFs in recent years and to offer a perspective on the future direction of this field.

An integrative conceptual review of multiperspective frameworks in personality research and a roadmap for extended applications in organizational psychology.

Multiperspective frameworks, such as the social relations model, socioanalytic theory, the realistic accuracy model, the self-other knowledge asymmetry model, and the trait-reputation-identity model, have advanced understanding of personality over the last 40 years. Due to a resurgence of interest in multiperspective research on personality and other constructs in organizational psychology, we conducted an integrative conceptual review of these specific multirater frameworks and their application in work settings. Our review identifies similarities and differences in these frameworks and suggests that they collectively represent an invaluable resource for personality researchers and the broader field of organizational psychology. Through our review, we distinguish multiperspective frameworks from similar approaches (e.g., multirater designs), track the evolution of these frameworks, and leverage current applications of these frameworks to craft a future research agenda. Our review serves as a roadmap to help scholars apply multiperspective logic more thoroughly and systematically in personality research and beyond. We close with a discussion of practical implications. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major crypto assets. Methodologically, we decompose the measured volatility into positive and negative components and employ the time-varying parameters vector autoregression (TVP-VAR) framework to show distinct dynamics associated with market booms and downturns. Our findings indicate that crypto connectedness reflects important events and oscillates substantially while reaching lower limit values when compared to traditional financial markets. Periods of extremely high or low connectedness are clearly linked to specific events in the crypto market and macroeconomic or monetary history. Furthermore, existing asymmetry from good and bad volatility indicates that market downturns spill over substantially faster than comparable market surges. Overall, the connectedness dynamics are driven by a combination of both crypto (momentum, on-chain activity, off-chain activity) and legacy financial and economic (financial and economic uncertainty, and financial market performance) factors, while the asymmetry is more connected to the off-chain crypto activity and the combination of economic, financial, and monetary factors. In both the total connectedness and asymmetry modeling, these can serve as hands-on indicators to be further translated into specific portfolio re-balancing decisions, risk management, and regulatory frameworks.

Enhancing localisation in public procurements: A framework for evaluating suppliers' capabilities

This study investigates a framework for assessing suppliers' capabilities in public procurements to bolster localisation objectives. The study utilises the Action Design Research (ADR) methodology, combining the strengths of Action Research and Design Science, to examine the 'Ten Products Group' initiative within Iran's oil industry (2014–2023). This approach allows for the investigation of an applied problem within its specific contextual framework. The research highlights the importance of a comprehensive capability evaluation framework that includes qualitative assessments of suppliers' organisational, technological, and manufacturing capabilities. The framework incorporates both self-reporting and independent outside evaluation, enabling the inclusion of competent participants in public procurements and aligning contractual duties with the objective of localisation.The study emphasises the need for a transparent and thorough capability evaluation framework, contributing to the development of local industries and economic growth in situations where suppliers lack necessary capabilities. It suggests that a well-designed capability evaluation framework can facilitate the growth of local industries through public procurements, enabling the inclusion of competent suppliers and supporting economic development. The study's limitations include its focus on the context of localisation in public procurement and the potential challenges associated with implementing the proposed capability evaluation framework in practice.

Über Erleben forschen: Szenisches Verstehen und Mentalisieren in Forschungsgesprächen mit Geflüchteten in aufenthaltsrechtlicher Unsicherheit

The article discusses ways in which pedagogy and the social sciences can research experience – as an unconscious, bodily and affective dimension of the subject – in the context of flight and exile. Against this background, methodological considerations are first formulated on the difference between the German terms "Erfahrung" and "Erleben", which are both translated as “expirence” in English. It will be elaborated that the category of “Erleben” includes unconscious parts that require a specific methodological framework in order to be reconstructed. This methodological framework will then be outlined using the concepts of scenic understanding and mentalisation, which can enable an analytical inclusion of and focus on prelinguistic or nonlinguistic experiential content. Finally, the potential of a connection between the two concepts will be demonstrated by means of an in-depth hermeneutic analysis of an interview with a refugee with the German asylum status of “Duldung”.

Fund allocation modeling of compensation subjects for various protection levels of the ecological flow in rivers under runoff variations

Ecological compensation for protecting of river ecological flow (e-flow) is crucial to maintaining the health of river ecosystems; however, determining the fund sharing for ecological compensation can be challenging. To fill this scientific gap, we herein developed a specific framework to determine the fund-sharing of ecological compensation subjects. Such a framework mainly consists of three parts:1) Identifying the subjects who benefit from the consumption and eco-products provided by e-flow protection, and determining the sharing coefficient of the compensation subjects based on the ratio of their economic benefit to the total economic benefit; 2) Evaluating the ecological compensation resulting from the e-flow protection with the help of the production function method; 3) Combining the ecological compensation and compensation sharing coefficient to determine the fund sharing of compensation subjects. We have successfully applied this approach to the Baoji Section of the Weihe River and the Baojixia Yuanshang Irrigation District (BYID). The obtained results revealed that the compensation subjects were Baoji and Xianyang City, and their corresponding fund-sharing coefficients in 2010 in order were 0.71 and 0.29. It was predicted that ecological compensation for e-flow protection would be 209 million yuan in 2010 year, and the corresponding values of capital sharing are 148 million and 61 million yuan. Over the last 23 years (in the time interval of 2000–2022), the share of compensation funds has gradually decreased, indicating an increasing trend with the improvement of the security level. Join us in our mission to protect river ecosystems and maintain a healthy balance by using this approach for ecological compensation.

Post-return emotions: everyday food practices of overseas returned students in Shanghai

ABSTRACT Taking post-return everyday food practices as the primary analytical lens, this paper interrogates how the emotions of transnational returnees are structured by shifting spatio-temporalities in the process of return. Based on ethnographic fieldwork in Shanghai, the empirical discussion examines the experiences of overseas returned students in Shanghai through three cases. These respectively highlight how practices and emotions relate to the persistence of hometown tastes throughout migration, the embrace of host foods while studying overseas, and the adaptation to new dietary patterns after return. These cases of post-return exemplify the intricate connections between food, place, and emotions. There are two implications drawn from the empirical discussion. First, from the spatial perspective, the post-return emotions of transnational return migrants are intricately linked not only to the place to which they return and currently reside in but also to the places they previously experienced as emigrants. Second, the emotions of transnational return migrants should be comprehended under specific temporal frameworks, which, in this paper, refer to transitional life stages. By investigating the post-return place-related emotions indicated by everyday food practices, this research contributes a more intricate understanding of the emotional worlds of transnational returnees and sheds light on the emotionality of transnational return migration.

The Seeds of the Mexican Countryside

Objective: The objective of this work is to make an analysis of the types of seeds use by Mexican farmers and their relationship with Local Seed Systems (SLS) and Formal Seed Systems (SFS). Design/methodology/approach: The work consisted of a bibliographic review about the types of seeds available for the Mexican countryside and their seed systems. In addition, to identify some priorities and strategies for its strengthening. Results: In Mexico, derived from its climatic, edaphic, geophysical heterogeneity, cultural social and economic diversity. It has caused both landraces and improved seed to coexist in the SLS and SFS. However, there is a predominance in the use of landraces in SLS of 70 to 80 %. Therefore, it is considered a priority to conserve traditional selection, management, conservation and use practices that have caused the wide inter- and intraspecific diversity of landraces. However, more research needs to be carried out and its legal framework strengthened. In the case of improved seeds located mainly in SFS, it is considered to promote their use in vegetables and the ornamental sector. Limitations on study/implications: The work developed could be complemented with the participation and interviews of decision makers in seed policies in Mexico and the review of processed in other countries. Findings/conclusions: In Mexico the use of native and improved seeds coexists. To satisfy the demand for food, all types of seeds are important and both the SLS and the SFS but differentiated public policies are required for their attention and the definition of a specific legal framework for landraces.