Search results

Forensic dentistry is the application of dentistry in legal proceedings that arise from any facts relating to teeth. The ultimate goal of forensic odontology is to identify the individual when there are no other means of identification such as fingerprint, Deoxyribonucleic acid (DNA), iris, hand print and leg print. The purpose of selecting dental record is for the teeth to be able to withstand decomposition, heat degradation up to 1600 ^°C. Dental patterns are unique for every individual. This work aims to analyze the contour shape extraction and texture feature extraction of both radiographic and photographic dental images for person identification.

To achieve an accurate identification of individuals, the missing tooth in the radiograph has to be identified before matching of ante-mortem (AM) and post-mortem (PM) radiographs. To identify whether the missing tooth is a molar or premolar, each tooth in the given radiograph has to be classified using a k-nearest neighbor (k-NN) classifier; then, it is matched with the universal tooth numbering system. In order to make exact person identification, this research work is mainly concentrate on contour shape extraction and texture feature extraction for person identification. This work aims to analyze the contour shape extraction and texture feature extraction of both radiographic and photographic images for individual identification. Then, shape matching of AM and PM images is performed by similarity and distance metric for accurate person identification.

The experimental results are analyzed for shape and feature extraction of both radiographic and photographic dental images. From this analysis, it is proved that the higher hit rate performance is observed for the active contour shape extraction model, and it is well suited for forensic odontologists to identify a person in mass disaster situations.

Forensic odontology is a branch of human identification that uses dental evidence to identify the victims. In mass disaster circumstances, contours and dental patterns are very useful to extract the shape in individual identification.

The experimental results are analyzed both the contour shape extraction and texture feature extraction of both radiographic and photographic images. From this analysis, it is proved that the higher hit rate performance is observed for the active contour shape extraction model and it is well suited for forensic odontologists to identify a person in mass disaster situations. The findings provide theoretical and practical implications for individual identification of both radiographic and photographic images with a view to accurate identification of the person.

This study aims to examine own-race bias (ORB) in prospective person memory (PPM) and explore whether the effects of ORB were moderated by two factors that are salient to real-world missing person appeals (MPAs): the number of appeals an individual encounters and the frequency in which these appeals are encountered.

A mixed experimental design was used whereby 269 Caucasian participants studied MPAs (4 or 8 appeals) for various frequencies (once or three times), which featured both white and non-white missing individuals. Participants then completed a PPM sorting task that required them to identify missing individuals as a secondary objective.

ORB was not observed for prospective person memory performance, although participants did demonstrate a greater conservative bias for appeals involving different ethnicities. The main effect of number and frequency of appeals on PPM was significant, however, these variables did not moderate ORB.

The current study has limitations that should be taken into consideration. There was an underrepresentation of non-white ethnicities within the sample which limits the ability to determine if ORB effects vary across ethnicities. Additionally, experimental simulations of missing person identifications still lack ecological validity and thus future innovative methods are required to study missing person identifications more realistically.

This study demonstrates that PPM performance may not be influenced by ORB effects overall as found within previous generic memory tasks, although the influence of the number and frequency of appeals presented continues to demonstrate the need to improve MPAs to maximise public facial recognition and identification of missing persons.

The current study examines a novel model that examines how the online and offline or general personality of the same person predicts social identification with the endorser in a message and their subsequent online behaviors (e.g. ad-skipping) on social media, both differentially and simultaneously.

Real-time ad-skipping behaviors were tracked and analyzed across three online experiments.

The results supported the model explicating the dual and simultaneous influence of offline and online personalities on ad-skipping behaviors. Specifically, in response to a skippable video ad, online and offline personalities respectively increase and decrease viewers’ identification with the endorser. Consequently, the higher or lower the identification, the lower or higher the rate of ad-skipping behaviors.

The current study will benefit from a larger set of real-world data (i.e. big data) to enhance the generalizability of the findings, supporting the model.

With the growing prevalence of the gap between online and offline self-identities driven by social media usage, this paper suggests that the ad message needs to address the dual influence of both online and offline identities on ad-skipping behaviors.

The current study tests a novel model that shows that the online and offline personalities of the same person concurrently influence one’s behavior on the Internet, rather than separately.

The purpose of this paper is to analyze politically exposed persons (PEPs) according to Financial Action Task Force (FATF) Recommendations and assess the identification process followed by financial institutions to create a harmonized regional model for PEPs identification in Latin America.

FATF Recommendation No.12 states that financial institutions should identify PEPs. To do so, the latter uses either an internal identification system or an external database. Within this framework, the purpose of the research work is to determine whether the procedure adopted by the regulated entities complies with the requirements of the regulations. Both analytical and interpretative methods have been used for this purpose.

In accordance with FATF Recommendation No.12, national and foreign PEPs, as well as officials of relevant international organizations, close relatives and closest associates must be identified. This wide range of people forms an hybrid type of PEPs. Because of the lack of a harmonized identification policy, it is likely that some people who meet these conditions may not be spotted.

PEPs control success relies on accurate and prompt identification. Therefore, it is crucial to create an inter-state model of harmonized identification at a regional level in Latin America. It includes not only the participation of the obligated subjects but also the sector entities associated to the concerned economic activity.

The purpose of this paper is to highlight the significance of placing identification marks on dentures.

This paper reviews the legislation with regard to denture marking in certain countries, various methods of denture marking and describes a simple, inexpensive, paper‐based labelling system.

Various methods have been proposed for denture marking but it is important to use a method that is simple, practical, affordable and universally acceptable.

The identification of unknown or missing persons by means of denture marking is a very successful method of identification in forensic investigation. It is also useful for patients residing in hospitals and community homes where dentures could be misplaced, particularly during cleaning by personnel where there is a chance of loss or mix‐up. The importance of denture marking should be emphasized by all law‐enforcing authorities and should be promoted among all dentists, towards making it a compulsory routine dental procedure throughout the world.

In Malaysia, denture marking, as recommended by its Ministry of Health, uses a unique coding system which can readily provide information about the wearer in whichever part of the world the person is found. The method applied is simple, practical and affordable and can easily be adapted by others. It can be of great value during times of crisis.

To support digital humanities research more effectively and efficiently, this study develops a novel Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) for the Digital Humanities Research Platform for Biographies of Chinese Malaysian Personalities (DHRP-BCMP) based on artificial intelligence (AI) technology that would not only allow humanities scholars to look at the relationships between people but also has the potential for aiding digital humanities research by identifying latent relationships between people via relationships between people and organizations.

To verify the effectiveness of KGAT-PO, a counterbalanced design was applied to compare research participants in two groups using DHRP-BCMP with and without KGAT-PO, respectively, to perform people relationship inquiry and to see if there were significant differences in the effectiveness and efficiency of exploring relationships between people, and the use of technology acceptance between the two groups. Interviews and Lag Sequential Analysis were also used to observe research participants’ perceptions and behaviors.

The results show that the DHRP-BCMP with KGAT-PO could help research participants improve the effectiveness of exploring relationships between people, and the research participants showed high technology acceptance towards using DHRP-BCMP with KGAT-PO. Moreover, the research participants who used DHRP-BCMP with KGAT-PO could identify helpful textual patterns to explore people’s relationships more quickly than DHRP-BCMP without KGAT-PO. The interviews revealed that most research participants agreed that the KGAT-PO is a good starting point for exploring relationships between people and improves the effectiveness and efficiency of exploring people’s relationship networks.

The research’s limitations encompass challenges related to data quality, complex people relationships, and privacy and ethics concerns. Currently, the KGAT-PO is limited to recognizing eight types of person-to-person relationships, including couple, sibling, parent-child, friend, teacher-student, relative, work, and others. These factors should be carefully considered to ensure the tool’s accuracy, usability, and ethical application in enhancing digital humanities research.

The study’s practical implications encompass enhanced research efficiency, aiding humanities scholars in uncovering latent interpersonal relationships within historical texts with high technology acceptance. Additionally, the tool’s applications can extend to social sciences, business and marketing, educational settings, and innovative research directions, ultimately contributing to data-driven insights in the field of digital humanities.

The research’s originality lies in creating a Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) using AI, bridging the gap between digital humanities research and AI technology. Its value is evident in its potential to efficiently uncover hidden people relationships, aiding digital humanities scholars in gaining new insights and perspectives, ultimately enhancing the depth and effectiveness of their research.

The purpose of this paper is to extend research on employer branding in the recruitment context. The authors develop a model that integrates research from employer branding, social identity theory, and person-organization fit in order to investigate the impact of company reputation and identity congruency between organizations and their job applicants on the attractiveness of an employer brand.

An online survey was conducted to test the theoretical model in a recruitment context in the Norwegian offshore industry. Structural equation modelling is employed in the data analysis.

A key finding is that a company’s reputation and identity congruence between applicants’ self-identities and their perceived organization identity affect job applicants’ job pursuit intentions through mediation of cognitive social identity. Moreover, identity congruence predicts applicants’ cognitive identification with the company.

The study suggests that managers should try to map and understand central characteristics that describe job applicants’ identities and strive to provide applicants with access to necessary information about the company to form cognitive identification with the company.

The authors extend research on employer branding by incorporating social identity and attitude as mediators between symbolic and instrumental attributes of an employer brand and its attractiveness. This study also deepens research on social identity by including explicitly a comparison process between applicants’ self-identities and their perceived organizational identity, which leads to applicants’ identification with the company.

The purpose of this paper is to contribute to our understanding of the antecedents of organizational identification. Specifically, this paper aims to integrate two perspectives developed within the social identity domain, labeled “cognitive” and “relational,” by comparing and reconciling their relationship organizational identification.

This study uses a survey method and a structured questionnaire to collect data from people working in a call center. The hypotheses were tested on a sample of 743 employees by using structural equation models and Hayes’ (2017) bootstrapping procedure.

The results provide evidence for a mediational model in which the attractiveness of organizational images (cognitive representations) mediates the relationship between perceived justice (relational judgments) and organizational identification.

The data were obtained from a single source in a cross-sectional design, which may inflate common method variance. To address threats to validity, the authors employed several procedures, the results of which revealed that no parameters corresponding to the hypotheses changed in sign or significance, thus suggesting that the presence of method bias, if any, was nonconsequential.

Not only does perceived justice relate to the sense of belonging to an organization, but it also contributes to shaping the long-term cognitive representations of the company. In particular, both HR and line managers should be aware that in this respect, the interactional dimension of justice shows the strongest effect.

Building on and enlarging the scope of the extant literature, the findings contribute to our knowledge of how relational judgments shape cognitive images about the company, influencing, in turn, the individual–organization relationship.

The purpose of this paper is to analyze the domestic anti‐money laundering (AML) regime in Russia in its prevention pillar with the aim to test its compliance with the international standards.

The comparative approach is used to analyze domestic regulations with the focus on the four key elements of the prevention pillar of any AML regime – customer due diligence, reporting, regulation and supervision and sanctions – for compliance with the main international documents regulating AML activities of the countries.

The domestic AML regime in its prevention pillar which was created in 2002 has undergone significant changes. It is still far from complete and is being improved over time. No matter how the regime functions in reality, it mostly formally complies with the international AML requirements.

In using a comparative approach it has been necessary to see how compatible the created regime is with the international norms.

The compliance is, however, conditional. The formal legislative compliance does not characterize the efficiency of the existing regime. How this legislation is applied in practice is the topic of the next step of our analysis.

The efficiency of the global AML regime is a summarized efficiency of the domestic AML regimes. The most difficult part is to measure such efficiency. The more regimes are analyzed the more conditions are created for the assessment of the global regime efficiency.

The purpose of this paper is to address the research issue of how companies manage their consumers' identification to compete effectively in intensely competitive market places. Drawing on theories of social identity and organizational identification, this study proposes that favorable consumer purchase intentions often result from the consumer‐company identification (C‐C identification) which depends on several identity judgments like identity prestige and identity attractiveness.

A research model and 13 hypotheses are derived in this study. LISREL models are employed to identify the validity of the entire model and data are collected from ten direct selling companies.

The results of empirical analysis show that identity judgments positively affect C‐C identification and the degree of C‐C identification positively influences consumer purchase intentions. The moderating effects of identity trustworthiness and embeddedness have mild influences on the relationship between identification and purchase intentions.

This study confirms that encouraging identification has not only been identified as a good employee retention strategy in organization management but also a good customer retention strategy in marketing management.

This study intends to go one step further to empirically test the viability of the C‐C identification model that is lack of empirical supported.