Concept Of Recognition Research Articles

“Change, continuity and crisis in the legal profession: the role of gender”

ABSTRACT This paper discusses a theoretical framework for understanding gender in the legal profession, and in legal professionalism, over the past thirty years. Although women's subordinated position in legal professions across the globe seems well understood, the project of assessing the extent and the dynamics is ongoing in many jurisdictions and intersects with issues of race, gender in intricate and complex ways. The theoretical framework in this paper that aims to account for the multi-dimensional, multi-level and processual nature of change in the gendered profession draws on three main sources: Glucksmann's accounts of changing formations of labour, which provides a framework for understanding the exogenous and endogenous forces working on the profession; Fraser's concept of recognition and its relation to participation in the public sphere, and Bourdieu's conceptual vocabulary of field, capital and habitus, which facilitates understanding of the transactional processes which frame women's choices and which work to determine their position within the profession and organizations. The relevance of the framework will be illustrated through reference to a series of studies of gender and the profession, conducted since 1990.

Implementation of PSAK 109 Concerning Financial Reporting of Zakat, Donation/Charity Accounting at BAZNAS

The main factor causing the failure to achieve the potential for receiving zakat, infaq and alms in zakat management institutions is the lack of public trust in the management institutions, so that guidelines for preparing financial reports are needed, namely PSAK No. 109 concerning accounting for zakat, infaq/alms. The purpose of this study is to reconstruct the financial report of zakat, infak/alms at the National Zakat Agency (BAZNAS), which can then be seen how the financial report is made by BAZNAS. This study uses a descriptive method which is carried out through observation, data collection and direct interviews with the Head of BAZNAS. This study is intended to look at the concepts of recognition, measurement, presentation and disclosure that occur at the National Zakat Agency, and to provide an overview of the financial report of zakat, infak/alms, which then analyzes the conformity of the financial report of zakat, infak/alms at BAZNAS with the applicable standards, namely PSAK No. 109. The results of this study indicate that transparency and accountability in the financial reports of zakat, infak/alms at BAZNAS have been carried out and analyzed based on PSAK No. 109, which consists of five components of financial reports, namely, financial position report, fund change report, managed asset change report, cash flow report, and notes to the financial reports. The National Zakat Agency has been proven to have carried out the bookkeeping process in accordance with the accounting concept in PSAK Number 109 in terms of recognition, measurement, presentation and disclosure.

MUTUAL RECOGNITION IN PRISON RULES AND PRE -TRIAL DETENTION AND DETENTION IN EU

The purpose of this study is to highlight the important aspects on the creation of a criminal justice section inside prisons, as well as the creation of minimum requirements for jail and detention settings and a uniform set of rights for all EU inmates. The Council of Europe believes that efforts should be taken to improve mutual trust and to more effectively implement the concept of mutual recognition in custody, as stated in the Stockholm Program, which calls for the Council to address detention and related concerns. Among the instruments of mutual recognition of terms of incarceration that may be affected we mention the European Arrest Warrant issued by the Council, the transfer of prisoners, the mutual recognition of alternative sanctions and judicial proceedings, and the European supervision order. Following the analysis and empirical research, the paper summarizes that without mutual trust in detention, the European Union's mutual recognition instruments affecting detention will not work properly, as one Member State is unwilling to recognize and implement a decision taken by the authorities of another Member State. Without greater efforts to improve detention conditions and promote alternatives to detention, it may be difficult to develop closer judicial cooperation between Member States.

Radio Frequency Interference Detection and Automatic Modulation Recognition Based on Mask RCNN

The increasing complexity of wireless communication conditions presents noteworthy obstacles to the adaptability and flexibility of cognitive radio systems. The latter can alleviate the problem of spectrum shortages through proper spectrum management. However, cognitive radio has difficulty distinguishing between signals of interest and interference, which can be a general enemy since it is undesirable because it influences the signal's quality. Efficient detection and characterization of interference in wireless communication networks is critical for ensuring strong security. However, in this research, we use the Mask R-CNN methodology to present a new concept for automatic modulation recognition and radio frequency interference detection. Moreover, this algorithm can segment, detect, and recognize several types of interference that can affect wireless communication systems, such as chirp interference (CI), continuous wave interference (CWI), and multiple continuous wave interference (MCWI) within the signal of the interest (SOI), as well as the modulation kind present in the SoI. Overall, the combination of these distinct techniques can be very valuable in the field of signal processing, especially in anti-jamming strategies in wireless networks. Moreover, the proposed approach showcases exceptional performance in the validation dataset. For radio frequency interference detection, it achieves a mean average precision (mAP) of 0.946 and a mean average recall (mAR) of 0.954. For automatic modulation recognition, it attains a mAP of 0.898 and a mAR of 0.916.

Cone Angles Quantify and Predict the Affinity and Reactivity of Anion Complexes between Trifluoroborates and Rigid Macrocycles.

Steric manipulation is a known concept in molecular recognition but there is currently no linear free energy relationship correlating sterics to the stability of receptor-anion complexes nor to the reactivity of the bound anion. By analogy to Tolman cone angles in cation coordination chemistry, we explore how to define and correlate cone angles of organo-trifluoroborates (R-BF3 -) to the affinities observed for cyanostar-anion binding. We extend the analogy to a rare investigation of the anion's reactivity and how it changes upon binding. The substituent on the anion is used to define the cone angle, θ. A series of 10 anions were studied including versions with ethynyl, ethylene, and ethyl substituents to tune steric bulk across the sp, sp2 and sp3 hybridized α-carbons bearing 0, 1 and 2 hydrogen atoms. A linear relationship between affinity and cone angle is observed for anions bearing substituents larger than the -BF3 - headgroup. This correlation predicted affinities of two new anions to within ±5 %. We explored how complexation affects the reactivity of fluoride exchange. The yield of fluoride transfer from R-BF3 - to Lewis acid triphenylborane is correlated with cone angle. We predict that other rigid macrocycles, like commercially available bambusuril, could follow these trends.

LEGAL CONTROVERSIES IN CROSS-BORDER SURROGACY: A CENTRAL EUROPEAN PERSPECTIVE ON THE RECOGNITION OF LEGAL PARENTHOOD THROUGH SURROGACY ESTABLISHED ABROAD

Background: This paper explores the legal field of surrogacy from a Central European perspective, focusing on how countries such as Austria, Germany, and Switzerland address the recognition of parental status established abroad. While the prevailing attitude among Central European states is to prohibit surrogacy within their national laws, there is an increasing tendency to bypass these bans by seeking surrogacy services abroad. This phenomenon, termed reproductive tourism, raises complex legal questions about the recognition of foreign parental status determinations. Methods: The methods used include a comprehensive review of international and autonomous national legal rules as well as a comparative analysis of case law from Central European courts regarding cross-border surrogacy and parenthood recognition. The study examines legal controversies employing Austrian family law as an example to assess highly topical issues arising from surrogacy. It incorporates data from various legal sources, including the Austrian Constitutional Court, the German Federal Court of Justice, the Swiss Federal Supreme Court, and the European Court of Human Rights. Results and conclusions: The findings reveal significant differences between Austria, Germany, and Switzerland regarding the recognition of parental status established by way of surrogacy abroad. While supreme court decisions in these countries tend to prioritise the best interests of the child – often recognising foreign surrogacy arrangements to avoid leaving children without legal parents – their judicial approaches differ considerably. The Austrian Constitutional Court adopts a more inclusive approach by accepting foreign determinations from any authority, such as birth certificates, under the concept of automatic recognition. In contrast, the German and Swiss supreme courts acknowledge only formal court decisions. For cross-border surrogacy cases that do not fulfil this requirement, these countries apply the national law of the child's habitual residence or, as a fallback, the law of the intended parents’ country of origin. Since both German and Swiss law categorically forbid surrogacy, only the genetic father is typically recognised, while the intended mother is directed to adoption. This aligns with the opinion of the ECtHR, which still considers the method of establishing parenthood to be within the sovereignty of a state. This article advocates for a balanced approach that respects both the legal principles of national states and the fundamental rights of children born through an arrangement with a surrogate mother in another country.

Open-Set Recognition Model for SAR Target Based on Capsule Network with the KLD

Synthetic aperture radar (SAR) automatic target recognition (ATR) technology has seen significant advancements. Despite these advancements, the majority of research still operates under the closed-set assumption, wherein all test samples belong to classes seen during the training phase. In real-world applications, however, it is common to encounter targets not previously seen during training, posing a significant challenge to the existing methods. Ideally, an ATR system should not only accurately identify known target classes but also effectively reject those belonging to unknown classes, giving rise to the concept of open set recognition (OSR). To address this challenge, we propose a novel approach that leverages the unique capabilities of the Capsule Network and the Kullback-Leibler divergence (KLD) to distinguish unknown classes. This method begins by deeply mining the features of SAR targets using the Capsule Network and enhancing the separability between different features through a specially designed loss function. Subsequently, the KLD of features between a testing sample and the center of each known class is calculated. If the testing sample exhibits a significantly larger KLD compared to all known classes, it is classified as an unknown target. The experimental results of the SAR-ACD dataset demonstrate that our method can maintain a correct identification rate of over 95% for known classes while effectively recognizing unknown classes. Compared to existing techniques, our method exhibits significant improvements.

Cone Angles Quantify and Predict the Affinity and Reactivity of Anion Complexes between Trifluoroborates and Rigid Macrocycles

AbstractSteric manipulation is a known concept in molecular recognition but there is currently no linear free energy relationship correlating sterics to the stability of receptor‐anion complexes nor to the reactivity of the bound anion. By analogy to Tolman cone angles in cation coordination chemistry, we explore how to define and correlate cone angles of organo‐trifluoroborates (R−BF3−) to the affinities observed for cyanostar‐anion binding. We extend the analogy to a rare investigation of the anion's reactivity and how it changes upon binding. The substituent on the anion is used to define the cone angle, θ. A series of 10 anions were studied including versions with ethynyl, ethylene, and ethyl substituents to tune steric bulk across the sp, sp2 and sp3 hybridized α‐carbons bearing 0, 1 and 2 hydrogen atoms. A linear relationship between affinity and cone angle is observed for anions bearing substituents larger than the −BF3− headgroup. This correlation predicted affinities of two new anions to within ±5 %. We explored how complexation affects the reactivity of fluoride exchange. The yield of fluoride transfer from R−BF3− to Lewis acid triphenylborane is correlated with cone angle. We predict that other rigid macrocycles, like commercially available bambusuril, could follow these trends.

Students as co-researchers: participatory methods for decolonising research in teaching and learning in higher education

ABSTRACT This paper focuses on the potential, challenges, and limits of participatory, narrative and multimodal research methods as contributions to decolonising research on understanding student experiences of teaching and learning in higher education. Drawing on Fraser’s social justice concepts of participatory parity, redistribution, recognition, and representation, we argue that methodologies and methods for researching students’ experiences need to redress power imbalances implicit in many existing approaches. We suggest how participatory methodologies can be combined with narrative inquiry and multimodal methods where students research their own lives and contexts. We critically reflect on an international study based in South Africa with South African and UK partners involving 65 undergraduate students from rural backgrounds who participated as co-researchers over 12 months. We highlight decolonial debates in relation to participatory research, before outlining our methodological approach and interrogating the potential, limitations, and future possibilities of co-researcher methodologies for decolonising student-focused research in higher education

Affective recognition: examining the role of affect in education for peacebuilding in Cambodia and Kosovo

ABSTRACT In this article I develop the conceptualisation of affective recognition as a means of deepening understandings of education’s contribution to peacebuilding and social justice in conflict-affected contexts. Scholars have highlighted that one of the crises in peacebuilding education today is the failure to understand and harness the role of the transrational and the affective. I therefore bring together feminist theories of social justice and affective economies to analyse non-formal education programmes with young people in Cambodia and Kosovo and develop the concept of affective recognition. I contend that affective recognition demonstrates the central role of affect in enabling processes of peacebuilding and social justice through educational programmes.

A Lonely Position. Misrecognition and Belonging Among International Adoptees in Norway

In this article, we use the concepts of recognition and misrecognition to shed light on the subtle manifestation of othering and racism experienced by international adoptees in Norway. Our aim is to deepen understanding of identity formation and belonging among adoptees by examining recognition and misrecognition within two key contexts: encounters with strangers and interactions within the adoptive family. Strangers often perceive adoptees as immigrants or foreigners, failing to recognize their middle-class identity and their belonging to Norway. This misrecognition underscores the intertwined nature of physical appearance, class, and national belonging. Moreover, misrecognition of Norwegian identity not only symbolically separates adoptees from the nation, but also from their adoptive families, compounding the effects of misrecognition. Paradoxically, while family members unequivocally view adoptees as Norwegians, this recognition sometimes entails misrecognition of adoptees’ experiences with othering and racism in the external world, which can lead to a sense of alienation within the family. The dynamics of recognition and misrecognition, both externally and within the intimate sphere, can converge to isolate adoptees, placing them in a lonely position.

On the Concept of Artificial Intelligence and the Legal Regime of AI-Generated Results without the Creative Participation of an Individual

The paper examines the concept of “artificial intelligence”. It is proposed that when building a definition of this concept we proceed from the “black box” principle, which, according to the author, will make such definition universal and independent of the level of current technological development.The author investigates the question of whether a work generated by artificial intelligence without the creative participation of an individual can be equated with works protected by copyright. Based on the concept of recognition of copyright on works of science, literature or art based on the creative result proposed in the legal doctrine, the author concluded that AI-generated works are comparable to the results of human intellectual activity.The main approaches to determining the legal regime of AI-generated works in domestic legal doctrine and foreign legislation are considered. The author proposes an approach to regulating copyright on the works in question, similar to the legal regime for the protection of works of science, literature or art after the death of the author.

Beyond recognition: Identification and disidentification in visual resistance to stigma

This article theorizes visual practices of stigma resistance as a continuous play with identification and disidentification. Based on an ethnographic study of young, stigmatized activists’ self-images, I argue that the oft-employed concept of recognition only partially captures visual/digital resistance to stigma. In addition to claiming recognition, I show how creating unrecognizability is a key component in subverting stigmatizing categorizations. Complementing existing analyses on how we fight stigma by ‘presenting ourselves differently’ to others, my analysis of self-images looks at how the activists relate to themselves differently: how they negotiate and work with identifications. I distinguish two strategies of visual stigma resistance: resignification and opacity through multiplicity. Resignification – the visual interpretation of reclaiming – refers to one (temporarily) identifying with a derogatory label but redefining it into a source of pride. Multiplicity, in turn, operates by portraying the self as multiple and transforming, destabilizing potential categories and names, and rendering the self unintelligible. By showing stigma resistance as a play with becoming visible and unintelligible, the article argues for moving beyond recognition and stigma as binary concepts.

Quantum-inspired vortex search algorithm with deep neural networks for multi-pose facial expression recognition

The rapid expansion of artificial intelligence technologies has enabled machines to comprehend emotional intelligence. Among various indicators, facial expressions serve as an effective medium for understanding emotions. The concept of facial expression recognition (FER) relies heavily on the accurate and robust features available. Initially, the method of three-channel convolutional neural networks (TC-CNN) is adapted to extract facial features. However, only extracting the features is insufficient, the optimization of the extracted features is crucial to determining precise and robust features. This research work focuses on the optimization of the features using the quantum-inspired vortex search algorithm (QVSA). The QVSA integrates the attributes of Q-bits into the vortex search algorithm (VSA), optimizing the features by using the Q-bits to determine the vortex center on the Bloch sphere. The Q-bit attributes also improve the diversity of the features and help to avoid the premature convergence of the VSA. The final recognition of the facial expressions is performed using the deep neural network method of ResNet101v2. The experiments for facial expression recognition are performed on the datasets of RaFD and KDEF, which include different facial positions such as front pose, diagonal pose and profile pose. Performance comparisons demonstrate the effectiveness of the proposed system over state-of-the-art facial expression techniques.

Image-based recognition of parasitoid wasps using advanced neural networks.

Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these species potentially play key roles as food sources, pest controllers and pollinators. However, little is known about the diversity and biology and ~80% of the species have not yet been described. Classical taxonomy based on morphology is a rather slow process but DNA barcoding has already brought considerable progress in identification. Innovative methods such as image-based identification and automation can further speed up the process. We present a proof of concept for image data recognition of a parasitic wasp family, the Diapriidae (Hymenoptera), obtained as part of the GBOL III project. These tiny (1.2-4.5mm) wasps were photographed and identified using DNA barcoding to provide a solid ground truth for training a neural network. Taxonomic identification was used down to the genus level. Subsequently, three different neural network architectures were trained, evaluated and optimised. As a result, 11 different genera of diaprids and one mixed group of 'other Hymenoptera' can be classified with an average accuracy of 96%. Additionally, the sex of the specimen can be classified automatically with an accuracy of >97%.

Bioinspired Heterocoordination in Adaptable Cobalt Metal-Organic Framework for DNA Epigenetic Modification Detection.

Metal-organic frameworks (MOFs) show unique advantages in simulating the dynamics and fidelity of natural coordination. Inspired by zinc finger protein, a second linker was introduced to affect the homogeneous MOF system and thus facilitate the emergence of diverse functionalities. Under the systematic identification of 12 MOF species (i.e., metal ions, linkers) and 6 second linkers (trigger), a dissipative system consisting of Co-BDC-NO2 and o-phenylenediamine (oPD) was screened out, which can rapidly and in situ generate a high photothermal complex (η = 36.9%). Meanwhile, both the carboxylation of epigenetic modifications and metal ion (Fe3+, Ni2+, Cu2+, Zn2+, Co2+ and Mn2+) screening were utilized to improve the local coordination environment so that the adaptable Co-MOF growth on the DNA strand was realized. Thus, epigenetic modification information on DNA was converted to an amplified metal ion signal, and then oPD was further introduced to generate bimodal dissipative signals by which a simple, high-sensitivity detection strategy of 5-hydroxymethylcytosine (LOD = 0.02%) and 5-formylcytosine (LOD = 0.025‰) was developed. The strategy provides one low-cost method (< 0.01 $/sample) for quantifying global epigenetic modifications, which greatly promotes epigenetic modification-based early disease diagnosis. This work also proposes a general heterocoordination design concept for molecular recognition and signal transduction, opening a new MOF-based sensing paradigm.

Why Do We Fear The Robopocalypse? Human Insecurity in The Age of Technophobia

The paper aims to determine where exactly fear of intelligent machines is located in the narrative layers embedded in science fiction film stories based on the intelligence explosion hypothesis. The analysis departs from the assumption that the Robopocaliptic narrative, a science fiction narrative depicting the dystopian future of human–robot relationship, is constitutive of the irrational technophobic stance widespread in the public opinion of today’s postindustrial societies. As narration plays an essential part in our daily reflective and social practices, we are naturally inclined to look for narrative structure in popular culture, particularly in film, the most popular form of visual art, and the easiest one to consume. Nine science fiction films have been selected as relevant empirical evidence: The Invisible Boy (1957), 2001: A Space Odyssey (1968), Westworld(1973), Futureworld (1976), Demon Seed (1977), Blade Runner (1982), The Terminator (1984), The Matrix (1999), Ex Machina (2015). The Robopocaliptic narrative interwoven with the themes of the analysed films uncovers four recurrent ideas or messages that create robotophobia: redundancy of the human race, moral indifference of robots, robots as emotional abusers, and the loss of control over one’s own mind and body. The author proposes that these four ideas or messages mirror four layers of fear, all pointing to a meta-fear: the fear of rejection to be recognised and treated as a morally worth human being. In conclusion, the author suggests that Axel Honneth’s concept of recognition opens a plausible avenue to clarify the roots of the fear of the Robopocalypse.

Chiral Induction in a Self-Assembled Pd4 Coordination Cage with Chiral Guests.

The dynamic interplay of coordination bonds within metal-organic cages offers a unique avenue for structural evolution in response to external stimuli, presenting a promising strategy for the construction of chiral assemblies. This adaptability is crucial for the selective synthesis of homochiral assemblies and advancement of asymmetric catalysis. In this study, we report the self-assembly of an achiral square-planar Pd(II) acceptor with a C2-symmetric tetrapyridyl donor resulted in the formation of a racemic mixture of the chiral octahedral cage Pd4L2. The existence of this racemic mixture was confirmed using circular dichroism spectroscopy as well as single crystal X-ray diffraction analysis. We encoded chiral information into the asymmetric cavity of the cage by encapsulating chiral aromatic guests through efficient π-π stacking and hydrophobic interactions in aqueous media. The inclusion of a chiral guest induces a preference for one enantiomeric conformation of the cage over the other, effectively shifting the equilibrium towards a single, enantiopure host-guest complex. While the concept of chiral guest recognition by a chiral host is well-established, this work constitutes a remarkable example of guest-mediated chirality transfer leading to the formation of a single enantiopure coordination complex from achiral building blocks.

Research on Dynamic Gesture Recognition and Control System based on Machine Vision

Hand gesture recognition and control is a new type of human-computer interaction that can provide a more convenient and efficient operation mode by utilizing non-contact gesture recognition technology. This paper presents a lightweight dynamic gesture recognition method for intelligent office presentation control. First, we introduce the concept of hand gesture recognition and go over key gesture recognition technologies like classification. The structure, process, and evaluation index of the gesture recognition algorithm are described in detail using a convolutional neural network model. During the experiment's algorithm verification phase, we test and analyze the algorithm using the Python language, compilation environment, and data set. In the control experiment, we evaluated the system's ability to control the office application's start, play, next, previous, and exit functions. We achieve 96.3% accuracy on the test set. Experimental results show that the system can recognize a wide range of hand gestures and accurately control the presentation.

Appreciation for Agriculture in Public Communication. A Content Analysis of the Influence of the First Lockdown on Reporting About Agriculture in the Mass Media

The call for greater societal appreciation of agriculture has been a recurring theme in recent years, both within and outside the sector. The following article examines the extent to which social value communication can be found in media articles compared to other evaluative statements about agriculture and the effects that occurred at the beginning of the Coronavirus crisis. Using quantitative analysis and based on a theoretical concept of recognition, statements of social esteem and disrespect are collected and contrasted with acceptable and critical statements in issues of the mainstream, regional and farming press in 2019 and 2020 and evaluated in terms of their authorship and references to agricultural issues. In this context, it can be shown that even before the Coronavirus crisis, the level of social esteem accorded to agriculture in public communication was higher than the level of disrespect. It then increased during the first pandemic lockdown, combined with a significantly higher number of references to the issue of security of supply. At the same time, it is clear that the type of statement most often published in the media is not a direct expression of social esteem or disrespect, but rather a perception of disrespect for agriculture. The sources of these statements most often come from the agricultural sector itself.