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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.

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.

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.

In the midst of one of the most challenging periods in decades, the securities industry is relearning the meaning of the ancient Chinese curse – “may you live in interesting times”. The end of the 90’s bull market, September 11th and corporate wrongdoing have given rise to new rules and far‐reaching new statutes. At the same time, technological change and global consolidation of markets and regulations also continue to drive change, as they did throughout the 1990s. The authors highlight some of the crucial regulatory and legislative developments that will have significant consequences for the securities industry. Legislative proposals in response to the recent corporate scandals, analyst independence, anti‐money laundering rules, and the effectiveness of the Gramm‐Leach‐Bliley Act are among the issues examined.

The purpose of this paper is to incorporate a multimodal biometric system, which plays a major role in improving the accuracy and reducing FAR and FRR performance metrics. Biometrics plays a major role in several areas including military applications because of robustness of the system. Speech and face data are considered as key elements that are commonly used for multimodal biometric applications, as they are simultaneously acquired from camera and microphone.

In this proposed work, Viola‒Jones algorithm is used for face detection, and Local Binary Pattern consists of texture operators that perform thresholding operation to extract the features of face. Mel-frequency cepstral coefficients exploit the performances of voice data, and median filter is used for removing noise. KNN classifier is used for fusion of both face and voice. The proposed method produces better results in noisy environment with better accuracy. In this proposed method, from the database, 120 face and voice samples are trained and tested with simulation results using MATLAB tool that improves performance in better recognition and accuracy.

The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

The algorithms perform better for both face and voice recognition. The outcome of this work provides better accuracy up to 98 per cent with reduced FAR of 0.5 per cent and FRR of 0.75 per cent.

The purpose of this paper is to explore the “black box” of top management team (TMT) processes such as communication and power distribution, examining the example of ethnically diverse TMTs in Latvia.

The study relies on case studies of two multinational companies operating in Latvia.

The findings suggest that ethnic diversity in TMTs leads to more informal and open communication in the teams, but has no clear influence on power distribution in the teams. The results highlight the importance of studying variables that could moderate the effects of ethnic diversity on communication and power distribution; throughout the study, these variables were identified as, but not limited to, environment and shared goals.

This paper uses case studies to explore the black box of team processes, and proposes an alternative operationalization of cultural diversity, measured as ethnic diversity. It also advocates an alternative conceptualization of TMTs expressed in terms of decision‐making power. The paper's major contribution is its opening up and exploration of team processes, usually avoided by researchers because of their assumed complexity. Moreover, the study contributes to TMT studies by presenting the Latvian environment as a unique research locus where ethnic identities are rich and various.